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    20 April 2022, Volume 43 Issue 4 Previous Issue    Next Issue

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    Policy uncertainty and innovation digitization——A study from the perspective of ambidextrous innovation
    2022, 43(4): 1-10. 
    Abstract ( 670 )  

       A new interactive environment is required for organization and management of the R&D and innovation of traditional manufacturing enterprises. In the digital context, the main body of traditional innovation has gradually changed from closed to open, from opposition to cooperation, from value separation to value symbiosis and value cocreation, while the mode of enterprise innovation has gradually changed from entrepreneur-led individual innovation to user-led user innovation and open innovation. From the perspective of enterprise innovation, this paper analyzes the actual impact of each link of digital technology enabled enterprise innovation chain on enterprise innovation performance, and investigates the internal mechanism and boundary mechanism of digital enabled R&D innovation on enterprise innovation performance.
       The results show that: first, policy uncertainty intensifies the R&D digital transformation of enterprises, that is, the uncertain policy environment helps enterprises promote the digitization of innovation chain and reduce the transaction coordination cost in the innovation process. After considering the endogeneity, the research conclusion is still valid. Second, the test results of intermediary mechanism show that policy uncertainty helps to strengthen the adoption of two kinds of ambidextrous innovation behaviors which include exploration and exploitation, and this ambidextrous innovation behavior plays a partial intermediary role between policy uncertainty and enterprise innovation digital transformation. Third, the boundary mechanism test results show that informal competition suppresses the positive relationship between policy uncertainty and innovation digitization, that is, informal competition directly distorts the positive impact of policy uncertainty on innovation digitization in the state of formal competition. The economic consequence test results show that policy uncertainty ultimately promotes enterprise innovation performance by strengthening innovation digitization. Fourth, the results of heterogeneity analysis show that the driving effect of policy uncertainty on enterprise innovation digitization is more obvious in the samples with high degree of marketization, large-scale enterprises and low financing constraints.
        There are three management and policy implications in this paper. First, for the government, optimize the policy environment for digital innovation and digital enabling, provide policy expectations for digital transformation for all kinds of innovation subjects based on various industrial policies, innovation policies and science and technology policies, and strive to create a relatively stable policy expectations and institutional environment, provide a gradual policy change environment for the policy of enterprise digitization process. Second, the government needs to further optimize the construction of intellectual property protection system, especially the high penetration of digital technology in the era of digital intelligence. Its intellectual property protection system is particularly important. Based on the institutional effect of formal system, it will reverse the unfair competition of informal sector in the process of enterprise digital transformation for a long time. Third, for enterprises, actively accept and embrace digitization in a highly dynamic competitive environment, increase investment in enterprise digital transformation, promote innovation digitization, and enable enterprise innovation performance. At the same time, in the digital context, it is necessary to strengthen the ambidextrous innovation ability construction of enterprises, improve the ability of knowledge mining, knowledge utilization, knowledge absorption and knowledge integration according to the resource base and digital infrastructure of enterprises, and gradually master the dynamic ability to obtain the knowledge of key knowledge subjects in the digital context.

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    Research on the paths of technological innovation enabled by digital technology in Chinese manufacturing enterprises
    Yu Feifei, Wang Liting
    2022, 43(4): 11-19. 
    Abstract ( 667 )  
       The traditional innovation theory has been challenged by the digital enabling of technological innovation. This is mainly manifested in the following areas. (1) The basic assumptions of technological innovation management have been changed by the interaction between the results and process of innovation. (2) The boundaries of innovation activity have been broken by digital innovation platform. (3) The expansibility of old technology has been enhanced by digital technology. However, current literatures have not gone further than the discussion or induction of the digital technology′s influence on business operations. There has been no in-depth study on the complex mechanism of enterprises′ innovation activities enabled by digital technology. The digital enabling of technological innovation carries important implications for the innovation-driven development pattern of manufacturing enterprises in China. 
        Hence, to enrich the digital innovation theory, this paper explores the "black box" of digital enabling of technological innovation in manufacturing enterprises. It is difficult to put forward hypotheses and conduct empirical research, since existing literatures have not yet proposed the theoretical framework of digital enabling of technology innovation. Therefore, this paper conducts exploratory research through case study method and using coding technique of grounded theory in data processing. Three manufacturing enterprises are taken as research samples: Changan automobile, Midea Group and Suofeiya Home. 
        Based on the research above, the following conclusions are obtained. (1) The connotation of digital enabling of technological innovation in manufacturing enterprises is defined in three dimensions: the enabling of the subject, process and product of technological innovation. (2) The model of digital enabling of technological innovation in manufacturing enterprises is proposed. Intelligent transformation of enterprises lays the foundation for digital innovation, and provides the hardware and software base for digital innovation and innovation knowledge sharing. And the enterprises are embedded in the collaborative innovation among the value co-creation network. After that the digitalization of products and services, and the high-quality development are realized. (3) Three paths of technological innovation enabled by digital technology in Chinese manufacturing enterprises and their selective mechanism are concluded. The three paths are the collaborative innovation path of industrial chain centered on technology integration, the open innovation path centered on product intelligence, and the consumer-oriented innovation path at both ends. Moreover, technical level of industry, degree of industrial modularization and characteristics of market competition are three factors that influence the choice of innovation paths. 
        The conclusions of this paper reveal the following implications for manufacturing enterprises in technological innovation enabled by digital technology. (1) In high-tech industry with high degree of modularization, enterprises should choose the first path. (2) In industry where product intelligent is becoming an important trend, enterprises should choose the second path. (3) In industry with personalized market demand and homogeneous product, enterprises should choose the third path. 
       Finally, there are still some limitations in this research. (1) The coding method of grounded theory itself contains some shortcomings. For instance, coders′ subjective cognition cannot be eliminated totally. (2) Although three samples are adopted and the theoretical saturation are reached, the external reliability of this research should be further examined.

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    Influence of informatization on the innovation efficiency of China′s industrial industries
    He Yang, Song Lin
    2022, 43(4): 20-28. 
    Abstract ( 286 )  
       The new information and communications technology are constantly penetrating the production of various industries through the mobile network, changing the mode of innovation in different industries. Today we face a new trend of unilateralism and protectionism. Therefore, it′s necessary to explore how to use new information and communications technology to improve the efficiency of industrial innovation and correctly use it in innovation is conducive to the breakthrough of key technologies. And we can realize the dream about Chinese industry: from a low level to a high level in manufacturing.
        Different from the previous studies, this paper discusses the infrastructure investment and software service investment in the informatization investment, and distinguishes the different impacts of two types of information investment; To better understand different types of innovation, this paper divides the innovation efficiency into market-oriented innovation efficiency and non-market-oriented innovation efficiency. 
        Subsequently, this paper discusses the influence of two complementary conditions, namely, the strength of R&D support of non-governmental departments and the condition of industry marketization. This paper also explores the different efficiency of industry innovation under different marketization levels and reveals the potential causes of the "Solow paradox" in Chinese industries.
         The research mainly combined the method of theory and empirical study. In theoretical research, this paper explains what kind of informatization has an impact on the industrial industry, and the mechanism of informatization on industrial innovation efficiency. This paper puts forward the hypothesis that the higher the degree of informatization of industry, the higher the coordination of elements and the availability of information, which can better improve the innovation efficiency of the industry. However, the effect of informatization on innovation depends on the marketization level of the industry and the origination of R&D funds. There are differences in the impact of different oriented innovation. Information and communications technology bring out the spillover effects of skills, and there will be less obstruction in knowledge learning. So higher marketization level will promote innovation efficiency more frequently. The improvement of informatization has a much more significant effect on promoting market-oriented innovation. The larger the proportion of non-governmental funds in R&D funding sources, the more innovations tend to be market-oriented, which may improve the market-oriented innovation efficiency. In the empirical study, this paper has controlled the variables that may affect the innovation efficiency, and also controlled individual and time heterogeneity of industries. This paper uses a two-way fixed effect model to estimate the coefficient of informatization, and makes a robust analysis of the endogenous problems. 
         The conclusions of this study are as follows: (1) As a whole, informatization can significantly improve the efficiency of market-oriented innovation. The mismatching of informatization service input and marketization of industry may lead to the failure of informatization in promoting innovation. (2) When we consider the different types of informatization investment, the improvement of infrastructure investment cannot directly improve the innovation efficiency of the industry. Only when industries with higher marketization level, the improvement of informatization infrastructure can promote innovation efficiency. When the marketization level of the industry is low, it is difficult to improve the innovation efficiency by simply increasing the investment in information infrastructure. The increase of R&D support ratio of non-governmental departments has no significant effect on promoting innovation when input more infrastructure. (3) The input of information software services can directly improve the innovation efficiency of the industrial industry. However, if the market-oriented level of the industry is high, the increase of information software service investment will reduce the efficiency of market-oriented innovation. The higher the proportion of R&D support from non-governmental departments, the more obvious the effect of informatization software services on improving the efficiency of industry innovation. The conclusion is still valid after robustness test.
        This paper gives the following policy suggestions: firstly, when we plan to increase the investment in information and communications technology, it is necessary to determine what kinds of investment we should take. For the industrial industry with a high marketization level, it is necessary to expand the investment of information infrastructure. Secondly, we should guide the support of non-governmental departments to invest in R&D and make full use of foreign capital with other non-governmental financing resources. We should not only focus on infrastructure investment but also pay attention to providing more guides to those who are familiar with information technology service. Only in that way can scientific research institutions make better use of information technology to improve their innovation efficiency. 
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    Temporal and spatial differentiation and the convergence mechanism of China′s Internet+ level
    Han Xianfeng, Liu Juan, Li Boxin
    2022, 43(4): 29-36. 
    Abstract ( 154 )  
       In the new era, "Internet+" has gradually become a powerful engine for China′s economic transformation, and it is having an increasingly far-reaching impact on various fields of economic and social development. Guiding Opinions on Actively Promoting the "Internet+" Action issued by the State Council clearly states that the goal of China′s "Internet+" is by 2025, "Internet+" has become an important driving force for social and economic innovation and development. The report of the 19th National Congress of the Communist Party of China also clearly stated that it is necessary to promote the deep integration of the Internet, big data, artificial intelligence and the real economy. This all marks that "Internet+" has risen to the national strategic height.
       In fact, under the guidance of relevant national policies in recent years, "Internet+" has become an irresistible trend, and China′s "Internet+" strategy has achieved remarkable results. According to statistics, as of December 2017, the number of Internet users in China reached 772 million, the Internet penetration rate exceeded the global average by 4.1%, and the number of basic resources such as the number of Internet IP addresses and international export bandwidth were among the highest in the world. However, the rapid growth of the above individual indicators does not mean that the "Internet+" quality or comprehensive level has been improved simultaneously. With the continuous deepening and release of the effectiveness of "Internet+", how to scientifically and reasonably evaluate and analyze the comprehensive level of China′s "Internet+" has become a realistic problem that needs to be solved urgently, which undoubtedly has important practical significance in terms of in-depth implementation of the "Internet+" strategy and network power in China. 
        Literature analysis found that existing research still has certain defects: Firstly, the use of a single indicator can only reflect one aspect of "Internet+", not enough to objectively reflect the reality of "Internet+"; secondly, few documents have measured the comprehensive level of "Internet+" in China over a long period of time; thirdly, there is no literature to systematically discuss the temporal and spatial evolution, spatial differences, source decomposition and convergence of China′s "Internet+" comprehensive level. The main marginal contribution of this paper lies in the first, designing China′s "Internet+" comprehensive indicator measurement system, constructing the inter-provincial "Internet+" comprehensive level index, and deeply analyzing its temporal and spatial characteristics. Second, measuring the spatial differences in "Internet+" level and revealing the source of the gap. Third, testing whether the "Internet+" comprehensive level is converged.
        Based on the design of the "Internet+" comprehensive index measurement system, this paper constructs the inter-provincial "Internet+" comprehensive level index by using panel data and global principal component analysis techniques of 30 provinces in China during 2006~2017, and further uses the Dagum Gini coefficient. The method and convergence theory analyze the spatial and temporal differentiation of China′s "Internet+" comprehensive level and its convergence. The main findings are: First, the comprehensive level of China′s "Internet+" is not high, and it has a significant spatial non-equilibrium feature of high in east and low in west with polarization. There is a large space for improvement, and they all show a steady upward trend year by year; Second, the overall spatial difference of "Internet+" comprehensive level is more obvious, and it is fluctuating. The regional gap is the main source of the overall spatial difference. The effect of the regional gap comes as the second, and the overlap between different regions. At the very least, the national and the three major regions have not shown the absolute β convergence of the "Internet+" development, but there is a clear "Matthew effect". Fourth, "Internet+" comprehensive level evolves with the conditional β convergence, but this situation only occurs in the eastern region, but not in the central and western regions.
         The conclusions of this paper have the following policy implications: First, the government must continue to increase the investment intensity of the "Internet+" related fields, and actively guide and amplify the effectiveness of social capital, such as through the construction of "Internet+" development funds, "Internet+" venture capital funds, "Internet+" technology incubator base and other means, continue to stimulate the regional "Internet+" vitality and improve the effectiveness of "Internet+", and then continue to enhance the "Internet+" comprehensive level; Second, we must pay full attention to the spatial non-equilibrium characteristics of the comprehensive development of "Internet+". Governments at all levels should change their respective concepts of politics. They should actively strengthen their own "Internet+" construction, and actively seek interaction and cooperation from among regions and regions, actively strengthen bench-marking, continue to make up for shortcomings. Regional policy of comprehensive level of coordinated development, actively breaking the spatial non-equilibrium constraint of "Internet+"; Third, narrowing the development gap between regions is a top priority for the implementation of "Internet+". On the one hand, the government must increase the inclination of the "Internet+" policy in the central and western regions, and fully guide its cooperation with the eastern region to promote the rapid development of the "Internet+" development elements to the central and western regions. On the other hand, the government should carry out overall planning and coordination of "Internet+", and form a new structure of inter-regional and urban-rural "Internet+" development interaction between regions, breaking time and space restrictions of "Internet+" and promoting regional "Internet+" integration process; Fourth, it is difficult for the central and western regions to rely solely on the market′s self-regulation mechanism to narrow the gap in the "Internet+" comprehensive level. The central government should strengthen and play the role of macroeconomic regulation and control. It is necessary to coordinate the development of different regions under the overall framework and promote regional development. 
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    Influencing mechanism of intelligent manufacturing ecosystem on intelligent transition of manufacturing enterprises
    Meng Fansheng, Song Peng
    2022, 43(4): 37-45. 
    Abstract ( 250 )  
       At present, the technological environment of the world′s manufacturing industry is undergoing profound changes. The fourth industrial revolution led by intelligent manufacturing is developing rapidly in European and American developed countries. To adapt to global manufacturing technology innovation, "Made in China 2025" regards "intelligent manufacturing" as a strategic choice for building an innovative country and reshaping the advantages of manufacturing industry based on the deep integration of new generation information technology and manufacturing industry. In order to speed up the transformation of China′s manufacturing industry towards intelligent manufacturing and take the lead in the fourth industrial revolution, this paper explores how the Intelligent Manufacturing Ecosystem affects the intelligent transformation process of manufacturing enterprises by drawing on the ecosystem theory of biology. A theoretical model was established to explain the influence path of behavior and evolution characteristics of Intelligent Manufacturing Ecosystem on intelligent transformation of manufacturing enterprises. A structural model was built and tested empirically. This paper studied the internal mechanism and the indirect effects of individual behavior and system evolution in Intelligent Manufacturing Ecosystem of intelligent transformation in manufacturing enterprises. The conclusion of the study provides theoretical basis and effective suggestions for the breakthrough of "isolated island of technology application", the efficient integration of intelligent manufacturing resources and the acceleration of intelligent transformation of manufacturing industry.
        The Intelligent Manufacturing Ecosystem is composed of intelligent manufacturing resource suppliers, users, government agencies and other necessary participants. These components form a dynamic whole with cooperative relationship to achieve the goal of intelligent manufacturing of products in the manufacturing process. This paper analyzes the behavior and evolution characteristics of Intelligent Manufacturing Ecosystem and proposes the hypothesis about the impact of Intelligent Manufacturing Ecosystem on the intelligent transformation of manufacturing enterprises. The application of intelligent manufacturing technology is affecting the intelligent transformation. There is mediating effect of the behavior and evolution characteristics of Intelligent Manufacturing Ecosystem in the path between intelligent manufacturing technology and the intelligent transformation. Specifically, intelligent manufacturing technology and environmental sensing have a positive impact on intelligent interconnection. Then those factors can promote the evolution of Intelligent Manufacturing Ecosystem and accelerate the intelligent transformation of enterprises.
        In this paper, structural equation model is used to verify the research hypothesis. The application of intelligent manufacturing technology, intelligent interconnection, environmental sensing, system evolution, intelligent manufacturing transformation were developed as latent variables. The latent variables were measured by designing scale and questionnaire. The correlation between variables was analyzed by Amos. The correctness of the theoretical hypothesises were verified through model overall test and direct effect path test. Indirect utility confidence interval and the significance level of indirect effect was reevaluated by using bootstrapping technology. Indirect impact of remote mediation model was Tested by PRODCLIN. 
        The empirical results show that intelligent manufacturing technology can bring direct transformation benefits to enterprises. To a large extent, the Intelligent Manufacturing Ecosystem accelerates the intelligent transformation of enterprises and indirectly improves the transformation efficiency. The indirect effect is the mechanism that Intelligent Manufacturing Ecosystem influences intelligent transformation of manufacturing enterprises through its individual behavior and evolution characteristics. Further analysis of the empirical results leads to three main conclusions. First, the application of intelligent manufacturing technology enhances the action ability of individuals in the Intelligent Manufacturing Ecosystem which includes the interconnection level of intelligent manufacturing cooperation network and the ability of sensing and responding to the external environment. The improvement of the level of intelligent interconnection is mainly manifested on the improvement of the internal technology integration and application ability of enterprises and the formation of intelligent manufacturing cooperation network alliance. The improvement of environmental sensitivity is mainly manifested on the promotion of enterprise′s ability of user demand perception and dynamic matching in technical environment based on intelligent manufacturing system. Second, interconnection and open perception among enterprises promotes the evolution of Intelligent Manufacturing Ecosystem, and constantly improves intelligent manufacturing technology standards, industry standards and data standards. The resources of intelligent manufacturing technology have a diversification trend and provide standard and comprehensive technical support for manufacturing enterprises. Third, current data reflect the status that the interconnection of sample enterprises is at low level and the evolution of Intelligent Manufacturing Ecosystem is not perfect according to the point estimates of mediating effect. Therefore, making full use of intelligent interconnection to promote the evolution of Intelligent Manufacturing Ecosystem is an important way to accelerate the intelligent transformation.
        According to the research conclusion, the following management implications are proposed. In terms of enterprise management, manufacturing enterprises should seek sufficient support of intelligent manufacturing resources from Intelligent Manufacturing Ecosystem in the process of building intelligent manufacturing system. On the macro level, industrial alliance mechanism should be used to solve cooperation problems. Government, academic institutions and influential enterprises should lead the formation of Intelligent Manufacturing Alliance. "Chinese standard" for intelligent manufacturing industry should be established. 
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    Development of big data, business environment optimization and regional innovation performance
    Wang Xinliang, Du Zhuangzhuang, Liu Fei
    2022, 43(4): 46-55. 
    Abstract ( 230 )  
        Under the realistic contradiction of surging input of innovation factors but slow growth of innovation output in China, this paper aims to improve regional innovation performance and promote high-quality economic development, in combination with the current reality of unbalanced regional development, this paper starts with the development strategy of big data to explore the theoretical mechanism and practical path of optimizing the business environment and improving regional innovation performance, so as to provide theoretical support for deepening the understanding of  optimization of the business environment, as well as providing theoretical support for constructing the path of optimizing the business environment, making up the regional "weak links" and enhancing innovation performance.
       Based on the analysis of the theoretical mechanism of business environment affecting regional innovation performance and the regulatory mechanism of big data development, this paper deduces the following two hypotheses: one is that optimizing business environment can improve regional innovation performance by reducing transaction costs, and there are regional differences in the direct and indirect effects of optimizing business environment affecting regional innovation performance; the other is big data development has a positive moderating effect on the relationship between optimizing business environment and improving regional innovation performance, but the moderating effect is different in different regions.
        In order to test the reliability of the above hypothesis, this paper constructs a dynamic panel model based on the municipal data and 722 private enterprises′ regional integration panel data from 2008 to 2017, and uses the SYS-GMM estimation method for empirical test. The results show that: first, although the optimization of business environment is conducive to improving regional innovation performance in general, but it has heterogeneity in different cities, showing the unbalanced characteristics of " non provincial capital strong, provincial capital weak ". Second, the combination of big data development and business environment optimization is the key to improve regional innovation performance, especially for provincial capital cities, but limited by the ability of technological learning, this effect is uncertain for non-provincial capitals. Third, the unbalanced regional characteristics of the optimization effect of business environment are due to the differences between cities in the intermediary role of transaction cost: in provincial capital cities, big data development can stimulate the intermediary role of transaction cost, enhance the indirect role of optimizing business environment, reverse the unbalanced regional characteristics of "non provincial capital strong, provincial capital weak", and comprehensively stimulate the innovation performance improvement effect of business environment optimization.
        According to the above conclusions, this paper proposes to improve regional innovation performance and promote high-quality economic development from the following two aspects: first, according to the characteristics and weaknesses of different cities, promote gradually the development of big data, expand the business environment optimization space of provincial capital cities, actively deal with the "digital divide" problem of non-provincial capital cities, and enhance the marginal effect of improving the business environment on regional innovation performance. Second, focus on the reform of business environment in non-provincial capital cities, improve the understanding of officials on optimizing the business environment, guide the local government to formulate property rights protection, administrative approval, innovative services and other programs according to their own reality, and then create a characteristic model to drive the optimization of business environment in similar regions finally form a harmonious relationship between government and enterprises, and promote the overall innovation vitality of the region.
        Compared with previous studies, the main progress of this paper is reflected in the following aspects: first, on the basis of previous studies on the relationship between business environment and enterprise innovation performance, we are committed to opening the "black box" of business environment affecting regional innovation performance, clarifying the transmission mechanism of "business environment--transaction cost--regional innovation performance", and deepening the recognition of "optimizing business environment". Second, based on the analysis of the regulatory mechanism and effect of big data development affects the relationship between business environment and regional innovation performance, this paper discusses the important application value of big data development in enhancing regional innovation performance, so as to provide theoretical support for tapping the application potential of big data and promoting high-quality development; Third, combined with the characteristics of China′s regional unbalanced development, this paper discusses the important role of big data development in balancing regional development, and proves that mining the development potential of big data combined with the characteristics of regional development can make up for the "short board" of regional development, enhance the marginal effect of optimizing business environment, and promote regional balanced development.
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    The driving path of data enabling on the servicization of manufacturing enterprises
    Jiang Junfeng, Shang Yanying
    2022, 43(4): 56-65. 
    Abstract ( 261 )  
       On the one hand, big data makes it possible to integrate more complementary resources in a wider range, and the supply capacity of manufacturing services is increasingly concentrated; on the other hand, big data also provides more forms of realization and access to meet service needs, and the demand for manufacturing services is increasingly heterogeneous; how to respond to the triple impact of data enabling on the supply side, demand side and matching of manufacturing servicization determines the success or failure of manufacturing services. 
        From the supply side, the existing research emphasizes the improvement of data enabling and the realization of some improvements, such as real-time response speed, adaptive flexibility and the possibility of large-scale personalized manufacturing. However, how data enabling affects the implementation environment and implementation process of these improved capacity states of enterprises is still unclear, and it is not clear how data enabling can maximize its benefits under the business model on the demand side of manufacturing enterprises. 
       From the perspective of "supply-demand" matching, the driving path of data enabling on the servicization of manufacturing enterprises in Midea is analyzed by the framework of business model innovation (BMI) with the help of the grounded theory (GT). The driving process and the management practice and the influences of data enabling on the business model innovation and servicization of the manufacturing enterprises are deeply analyzed and clarified, which results in the corresponding proposition. The research shows that: (1) the linkages between the data enabling and the servicization of manufacturing enterprises are constitute by the concurrent of the strategic orientation, the data feature utilization and multi-agent real-time interaction, which is followed by resource utilization as the common medium and ended in the three dimensions of value creation, value delivery and value capture. (2) the dynamic driving process of data enabling on the servicization of manufacturing enterprises is characterized in "Data Enabling - Industrial Digitization Capability, Product Data Utilization Capability, Customer Value Interaction Capability Enhancement - Combination of Industrial Servicization, Customer Servicization and Value Servicization". The construction of enterprise-customer-upstream and downstream multi-agent participation in the interactive environment is conducive to the service transformation of manufacturing enterprises and the matching of demand and supply in the context of interactive development and transmission. 
        The introduction of the demand side in the business model innovation expands the roles of data enabling in the servicization of manufacturing enterprises and provides theoretical guidance with "supply-demand" matching as the core for manufacturing enterprises servicization. It expands the connotation of data enabling, demonstrates the industrial digitization ability, product data utilization ability and customer value interaction ability of data enabling. The research is helpful to form a process explanation of service to manufacturing enterprises, enrich the theoretical connotation of service and business model innovation, and answer the specific ability required by manufacturing enterprises. The object of data enabling is expanded from supply side to demand side, and its influence on the matching of the two is taken as the direct reason of service transformation. The situation, path and mechanism of service theory of manufacturing enterprises are improved, and the important role of enterprise-customer-upstream and downstream multi-agent environment construction in manufacturing service is emphasized.
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    Research on the effect of digital technology application on enterprise innovation
    Wen Huwei, Wang Shengyun
    2022, 43(4): 66-74. 
    Abstract ( 492 )  
       With the revolution of information technology, digital technologies are being embedded into the process of products and services with unprecedented breadth and depth. It not only penetrates into the value chain of product design, manufacturing and marketing, but also promotes the digitization, networking and intelligent development of manufacturing industry, and fundamentally changes the innovation ecosystem of manufacturing enterprises. The integration of digital technology and industrial development has gone beyond the traditional innovation theory. However, there are relatively few studies discussing the innovation activities of manufacturing firms in the new scenarios of innovation ecosystem. Whether Chinese manufacturing enterprises can achieve a successful transformation by the application of digital technology? How does the digital technology affect enterprise innovation? And what is the mechanism of its effect? 
       With the increasing popularity of digital technology, a growing body of literature has analyzed the role of digital technology in manufacturing transformation and upgrading. Due to the limitation of data, these studies generally adopt the methods of qualitative discussion and case analysis, and there is no empirical evidence to validate the innovative effect of digital technology. Fortunately, the nationwide projects of smart city construction in China, which started in 2012, can be regarded as an exogenous event for manufacturing firms to apply digital technology. Therefore, we define a time dummy variable to indicate whether the time is before or after the intervention of smart city construction, and divide manufacturing enterprises into two groups according to the digital intensity. Then we design the quasi-natural experiment method to carry on the empirical analysis. 
       Specifically, this paper investigates the effects of digital technology application on enterprise′ R&D investment and innovation output by using the difference-in-difference (DID) and quasi difference-in-difference(QDID)method. The method can effectively identify causal relationships without suffering from selection bias. We employ an unbalance panel data of Chinese A-share listed manufacturing enterprises of the Shanghai and Shenzhen Stock Exchanges from 2007 to 2017. We use the variables R&D intensity and intangible assets ratio, which define as the ratio of R&D expenditures to the annual income of a firm and the ratio of intangible assets to total assets, represent the explained variables of R&D investment and innovation output. According to previous studies in the field of innovation, the control variables include enterprise size, enterprise age, return on assets, Tobin′s Q, the ratio of liability to total asset, the ratio of fixed assets to total assets, share of major shareholders and ownership. We also control the industry fixed effect and time fixed effect, which capture the time invariant characteristics of manufacturing industry and trend characteristics, respectively. Our financial data are collected from the China Stock Market and Accounting Research (CSMAR) database.
       Firstly, this paper displays descriptive statistics for two group of manufacturing enterprises. According to descriptive statistical, there are grouping differences of the two variables —— R&D intensity and intangible assets ratio —— between treatment enterprises and control enterprises. The grouping differences may be due to the exogenous impact of digital technology, or the differences of enterprise characteristics. We need to further investigate whether the exogenous event incurs the increase of R&D investment and intangible assets ratio of enterprises or not.
    Secondly, we use the univariate DID estimation to test for the grouping differences of enterprise innovation. Specifically, the mean values of enterprise innovation are calculated across samples belonging to the treatment group versus the control group over the sample periods before versus after the intervention of smart city construction. Judging by the testing results for the DID estimation, the application of digital technology has a statistically significant effect on R&D intensity at the 5% significance level, while the effect on intangible assets ratio is insignificant at 1% level. In addition, the null hypothesis of no difference between the two groups is rejected, and thus may distort the evaluation of causality. 
       Thirdly, in order to identify the causality of digital technology and enterprise innovation, this paper introduces regression-based DID method to control enterprise characteristics. In terms of enterprises′ R&D intensity, the regression coefficients are significantly positive at the 1% level, indicating that the application of digital technology has a significant effect on enterprises′ R&D investment. In terms of enterprises′ intangible assets ratio, the coefficient of DID model is not significant and the T value is 1.38, while the coefficient of QDID model is significantly positive at the level of 10%. It indicates that the digital technology has significantly positive effect on the innovation output of treated enterprises, and this conclusion is not the same as univariate DID estimation. The robustness test shows that the above conclusion is still true. There is strong evidence that the digital technology application has significant effect on enterprise innovation.
       Fourthly, this paper divides the combination of digital technology and manufacturing industry into two types: the integration mode of machine coupling and substitution and the collaborative mode of group information interaction. We investigate the influence of the integration mode and the collaborative mode on enterprise innovation, respectively. For the integration mode, the effect of digital technology on R&D investment is significant, while the effect on innovation output is not significant. More time is needed to exert an effect on innovation output for intelligent manufacturing. For the collaborative mode, both the effects on R&D investment and innovation output are significant, the digital technology has promoted the prosperity of product innovation and business innovation. 
        Finally, this paper divides our sample firms into two groups of state-owned enterprises (SOEs) and non-state-owned enterprises (non-SOEs) and examine the treatment effect separately for each of the two subsamples based on DID regression. We also divide our sample firms into three groups according to firm size and investigate the heterogeneity effects. It can be concluded that there are heterogeneity effects of digital technology on enterprise innovation. Because of the advantages of digital resources, the treatment effects are significantly larger for SOEs and for large-sized enterprises.
        Our findings are enlightening for enacting better policies involving digital technology. For example, supporting policies for intelligent manufacturing, encouraging technological innovation of manufacturing enterprises, and reducing the digital divide of non-SOEs and private enterprises.
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    An exploration of the antecedents and realization paths of digitalization-oriented strategic renewal:A study from the organizational unlearning perspective
    Cui Miao, Zhou Xiaoxue
    2022, 43(4): 75-82. 
    Abstract ( 298 )  
       In the context of new industrial revolution, changes in the external technology environment such as big data, cloud computing have brought great challenges to many traditional industries. In order to keep up with the environments and occupy a place in the market competition, traditional enterprises in manufacturing, retail and other industries have seized the opportunities of digital technology and committed themselves to digitalization-oriented strategic renewal, which refers to the digital oriented innovation activities in product-market fields such as digital product development and digital channel expansion carried out by traditional enterprises in order to comply with the trend of digital economy. For traditional enterprises, how to realize digitalization-oriented strategic renewal has become a key issue.
       Considering that micro practice research in digital context is just emerging, there is a lack of research on how top-bottom and bottom-up strategic activities promote digitalization-oriented strategic renewal. This paper choose entrepreneurial orientation and organizational improvisation as the top-bottom and bottom-top antecedents of digitalization-oriented strategic renewal. In addition, organizational learning, that is, new knowledge acquisition, is considered to be an effective factor driving strategic renewal, but some studies have shown that new ideas and practices cannot be integrated into the organization before abandoning outdated knowledge. In the digital economy, traditional enterprises must unlearn the outdated concepts, conventions in order to innovate and realize digitalization-oriented strategic renewal. Based on the above research gaps, this paper proposes a research framework of "strategic activities-unlearning- digitalization-oriented strategic renewal" for traditional enterprises in the digital economy.
        Specifically, this paper adopts the design of mixed research method, trying to solve two problems: first, based on the survey method, this paper analyzes the impact of entrepreneurial orientation and organizational improvisation on digitalization-oriented strategic renewal through organizational unlearning (Study 1). Second, based on the case study method, this paper discusses the path of traditional enterprises to achieve digitalization-oriented strategic renewal through organizational unlearning (Study 2). 
        Through 232 valid questionnaires, Study 1 finds that entrepreneurial orientation and improvisation can promote the two dimensions of digitalization-oriented strategic renewal. The results show that unlearning can promote digital exploratory innovation, but the effect of digital exploitive innovation is not significant. Finally, we identify two paths to realize digitalization-oriented strategic renewal, namely "entrepreneurial orientation-unlearning-digital exploratory innovation" and "organizational improvisation-unlearning-digital exploratory innovation". Study 2 adopts the case of Haier to further analyze the two paths for digitalization-oriented strategic renewal, as well as the different modes of unlearning in the top-bottom and bottom-up paths. In the top-bottom path, entrepreneurial orientation promotes digital exploratory innovation activities by breaking the organizational structure that restricts organizational renewal and change. In the bottom-up path, organization improvises to promote digital exploratory innovation activities by changing employee functions and roles, workflow.
        The theoretical contributions of this study include: (1) This paper enriches the micro practice research of digitalization-oriented strategic renewal; and proposes that entrepreneurial orientation and organizational improvisation are top-bottom and bottom-up strategic activities respectively. (2) As a special type of organizational learning, less attention has been paid to the role of unlearning in strategic renewal. This paper analyzes the role of unlearning in digitalization-oriented strategic renewal of traditional enterprises, and finds that unlearning can promote digital exploratory innovation activities. (3) This paper introduces a new explanatory perspective, taking unlearning as an intermediary variable, and discusses the intermediary role of unlearning between strategic activities and digitalization-oriented strategic renewal. Among them, entrepreneurial oriented activities can help traditional enterprises better seize opportunities and make use of new ideas; improvisational activities indicate that employees will take the initiative to question the long-standing ideas and practices in the organization, and take innovative measures to adjust.
    The management implications of this study include: (1) Traditional enterprises can promote digitalization-oriented strategic renewal through top-bottom entrepreneurial oriented activities and bottom-up organizational improvisation activities. Entrepreneurial orientation is conducive to identifying and discovering new market opportunities. Senior managers should encourage employees to break the rules and use digital technology to explore new business areas. Improvisation is beneficial for employees to respond to new opportunities in real time. The rules of improvisation should be made clear in enterprises, and employees should be encouraged to perform related tasks creatively under this guidance. (2) Unlearning is an effective way for traditional enterprises to break the path dependence and organizational inertia in the digital economy. Traditional enterprises should abandon outdated concepts, knowledge or practices in order to make room for the new knowledge.
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    An exploratory study of the processes and mechanisms of the digital transformation of traditional companies
    Lu Baozhou, Yin Zhentao, Zhang Yan
    2022, 43(4): 83-93. 
    Abstract ( 458 )  
       Digital transformation is defined as the use of new digital technologies to enable strategic changes in organizations. Companies, particularly those in traditional industries, now are increasingly considering digital transformation as a strategic way to deal with the dynamic environment and to gain strategic advantages. Although a variety of diversified organizations have attempted to achieve organizational transformation by leveraging new digital technologies, this phenomenon of digital transformation has remained surprisingly unnoticed in the literature. In particular, we know very little on the processes and inherent mechanisms of digital transformation in these companies in traditional industries. These knowledge gaps may account for the difficulties encountered by most companies in traditional industries when considering digital transformation.
      To fill these knowledge voids in the literature, this study conducts an explorative analysis on the processes and the underlying mechanisms of digital transformation via a longitudinal case study on a typical company in traditional industries-Double Star Group (DSG). After nearly going bankruptcy in 2012, DSG started a journey of "fulfilling the second undertaking" by primarily leveraging digital technologies (including information technology, the Internet of things, cloud computing, robotics, etc.) to instigate managerial innovations, business model innovations and organizational transformation, and now it has evolved into an international enterprise group with the integration of tire manufacturing, smart equipment, smart logistics (e.g. Robot) and smart cyclic utilization of wasted rubber. The results of the digital transformation at DSG are evident: not only has its profit ratio significantly been improved, but also it has been listed in the "Asia′s 500 Most Influential Brands" and the "China′s 500 Most Valuable Brands" for three consecutive years.
      By applying technology affordance theory and sensemaking theory to the phenomenon of digital transformation and the case analysis, this study uncovers that the digital transformation of traditional companies is a top-down process, including three phases, e.g., the initialization of transformation, the consensus formation of transformation and the actualization of transformation. In each phase, the perceived digital strategic affordance for transformation (i.e., transformation cognition for each phase) arises from the dual social structure composed by both actors and digital technology. This study then further reveals four digital affordances that enable organizational transformation, including the perceived digital strategic affordance, the shared digital strategic affordance, the perceived digital business affordance and the actualized digital business affordance. Sensemaking is the primary mechanism to enable the formation of digital affordance that supports organizational transformation in each phase. Sense-breaking and sense-giving are the primary mechanisms for the actors in higher organizational levels to influence the sensemaking of the actors in lower organizational levels, and thereby, they are the primary mechanisms that enable the process transition in digital transformation. 
       This study reveals the processes of digital transformation for traditional companies and offers deep understandings on the underlying relations among actors, digital technologies and transformation cognitions, providing three contributions to existing research. First, the top-down processual perspective not only helps to provide detailed description and deep explanations to the complex phenomenon, but also is helpful to analyze the conditions and transmitting mechanisms for each phase. Thus, this paper opens the black box of digital transformation processes conducted by the traditional companies, making good complements to the IT-enabled organizational transformation research. Second, existing research that adopted technology affordance theory focused on team and individual level; however, this research rarely paid attention to the strategic level. This study indicates that the dual "actor-digital technology" social structure acts as the foundation of digital transformation, and thereby expands technology affordance theory to the strategic research. The digital affordances enabling organization transformation identified in this study, e.g. the perceived digital strategic affordance, could be used as the constructs to be explored by future studies. Third, this study suggests that digital transformation is significantly different from the IT-enabled organizational transformation. In the digital context, the digital technology begins to fuse with the organizational strategy. This fusion thus embodies not only in the dual "actor-digital technology" structure, but also in the proactive role of actors in making sense of the potentials of digital technologies in enabling transformation. 
       This study also offers two managerial implications for practitioners. First, for government agencies that make polices, this study indicates that digital technologies are the major transformative forces that enable organizational transformation, as well as the new and old kinetic energy conversion in our country. Thus, when making policies and guidance, government agencies should think highly of the effects of transforming, leading and fusing of digital technologies, and guide traditional companies to conduct digital transformation via subsidies, demonstration promotion, etc. Second, this study reveals that digital transformation is a top-down process with a gradual improvement, following the path from "the strategic cognition by the initiator" to "the collective and shared cognition by the key actors" to "the collective cognition by the actors in the operational level". This study then offers the top managers of traditional companies a reference process model that will guide their practices for digital transformation. Digital transformation should pay more attention to the leadership framework and the top-level design, as well as the relationships between digital technologies and human actors in organizations. 
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    An analysis of the knowledge innovation ecosystem to handle the "stranglehold" challenges: The core challenges, theory construction and realization path
    Wang Luyao, Qu Guannan, Juan Rogers
    2022, 43(4): 94-102. 
    Abstract ( 471 )  
       The tension between the international situation and domestic development has made the problem of "Stranglehold" of key technologies an important challenge restricting the sustainable development of my China′s economy and society. Hence, exploring innovative development paths to respond to and solve this challenge has become an important topic in the field of knowledge innovation. Fundamentally, knowledge innovation is the source and foundation of key core technological innovations and breakthroughs. It not only inspires and guides the research and breakthroughs at the source of basic research of key technology, but also acts on each innovation stage from experimentation, development to marketization, providing it with a direct or indirect knowledge base and ideological source. It should be recognized that the so-called " Stranglehold " of key technologies does not only refer to the "stuck" of a single technology, but a non-self-controllable problem of a knowledge cluster formed by a "package" of technologies in the industrial chain of a certain field. From this point of view, the "Stranglehold" challenges of key technologies are a systematic problem. According to the idea of "systematic solution to systemic problems", the overcoming and breakthrough of key technologies is a complex systematic project, which requires the overall design and planning of systematic thinking. 
       Faced with the challenge of "Stranglehold" of key technologies, it is urgent to systematically improve the overall performance of basic research in China. However, the existing knowledge innovation research in China is still based on the "triple-helix" (university-enterprise-government) framework, which cannot reflect the parallel coexistence and co-evolution characteristics of diversified subjects, diversified paths and diversified knowledge innovation modes in the new era. Thus, it fails to find an integrated view or an appropriate framework when researchers look into the "Stranglehold" challenge. To explore the problem of "Stranglehold " from a systematic perspective, it is necessary to establish a theoretical framework of knowledge innovation system that is suitable for the development characteristics of the new era. And use this as a tool to examine the core challenges of China′s current knowledge innovation policies and practice.
       The research focuses on the following topics: Firstly, from the perspective of the evolution of the knowledge innovation paradigm, what are the core challenges of the "Stranglehold " problem of key technologies? Secondly, what are the core features of the "Knowledge Innovation Ecosystem" in the new era, and how to construct a theoretical tool that reflects this multi-agent and cross-layer interaction to describe and analyze the process and mechanism of knowledge innovation? Thirdly, based on the "multi-spiral" ecosystem framework of knowledge innovation in the new era, what are the possible paths to solve the systemic challenges of key technologies? Based on the investigation of the characteristics of the transformation of knowledge innovation paradigm, this study explores the knowledge innovation ecosystem of "N-tuple helices" and to form an embedded dynamic network with fractal characteristics. Besides, this study discusses the feasible path and specific measures to systematically improve China′s scientific research innovation ability in face of the "strangel hold" challenge.
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    How do leading manufacturers cultivate the continuous innovation capacities in key core technologies? 
    Zhang Shuman, Yuan Changhong
    2022, 43(4): 103-110. 
    Abstract ( 194 )  
       China′s manufacturing industry has the most complete industrial system in the world at present, ranking first in the world in terms of scale for 10 consecutive years. However, China′s manufacturing industry is still large but not strong, and key core technologies are "stuck", which has become the key to hinder China from becoming a world power in science and technology. Key core technologies are important tools of our country, which are of great significance for promoting the high-quality development of China′s economy and ensuring national security. Besides, cultivating key core technology innovation capabilities is the key to achieving breakthroughs in key core technologies. Therefore, under the urgent situation, how leading manufacturing companies cultivate continuous innovation capabilities in key core technologies has become an important issue that needs to be solved urgently. 
        At present, the research on key core technologies is still in its infancy. The existing literature is mainly limited to newspapers, news, and policy documents, while rigorous academic research is obviously insufficient. In particular, there is a lack of rigorous academic research on how companies can cultivate continuous innovation capabilities in key core technologies. Besides, although the research on the cultivation of enterprise innovation capacities has made some progress, these studies mainly focus on the cultivation of firm technological innovation capacities, independent innovation capacities, and strategic innovation capacities. Moreover, there is insufficient discussion on the cultivation of enterprise continuous innovation capacities, especially the lack of in-depth analysis of continuous innovation capabilities in key core technologies of leading manufacturing companies. In general, the existing research has not been able to answer the question of how Chinese leading manufacturing companies cultivate continuous innovation capabilities in key core technologies.
       TBEA has continuously achieved major breakthroughs in key core technologies by cultivating continuous innovation capabilities in key core technologies, and has continuously broken foreign technology blockades and market monopolies. Therefore, this study takes TBEA as the example, and deeply explores the key elements of leading manufacturing companies to cultivate continuous innovation capacities in key core technologies. This study reveals that continuous investment in independent innovation, building the in-depth integration of industry-university-research innovation consortium, establishing firm independent innovation platforms, integrating key technologies and innovation resources in the industry through continuous restructuring and mergers & acquisitions, gathering and integrating global scientific & technological innovation resources and integrating into the global innovation chain and industrial chain, and introducing as well as training leading talents in science and technology continuously are key elements to cultivate continuous innovation capacities in key core technologies. Meanwhile, the support of the central and local governments at all levels is the important driving force to cultivate continuous innovation capabilities in key core technologies. 
        This study mainly makes three theoretical contributions: First, this study deeply explores the continuous innovation capabilities in key core technologies of leading manufacturing companies, thus enriching the previous research on firm innovation capabilities. Second, this study specifically investigates the key elements of cultivating the continuous innovation capacities in key core technologies, thus extending the previous research on key core technologies. Third, this research discusses the continuous innovation of leading manufacturing companies, thereby adding to the previous research on enterprise continuous innovation. Besides, this study provides enlightenment for leading manufacturing companies′ practice of breaking through key core technologies, and provides policy implications for the Chinese government.
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    Environmental regulation tools, regional differences and green technology innovation of enterprises——An analysis of China′s provincial panel data based on the system GMM and dynamic threshold
    Chen Yuke, Liu Lantian, Dong Jingrong
    2022, 43(4): 111-118. 
    Abstract ( 219 )  
        China has made great achievements in its economy after 40 years of rapid development. However, the extensive development model adopted by China has led to excessive consumption of natural resources and continuous deterioration of the ecological environment, which seriously affects the economic and social sustainable development of China. Chinese government has attached great importance to the construction of ecological civilization and environmental protection since 2012, proposing to "implement the strictest possible systems for environmental protection, and develop eco-friendly growth models and ways of life", which helped formulate a series of environmental protection policies, and improved the legal system of environmental protection in China. Under the strong advocacy of the Chinese government, enterprises have been carrying out green technology innovation and transforming production modes, to achieve green development. However, due to the objective existence of the differences in economic development and industrial structure among eastern, central and western regions, different environmental policies and measures will inevitably exert different impacts on green innovation activities of enterprises.
       Therefore, based on the industrial provincial panel data of China from 2007 to 2016, this paper uses the systematic GMM model to analyze the impact of diverse environmental regulation tools, including direct regulation, economic incentives and public participation, on green technology innovation in various regions of China, along with its lag effects in the case of regional economic development differences. Moreover, the reasonable environmental regulation interval in different regions is explored in this paper with the dynamic threshold model. This paper draws conclusions as follows: 
       First, different environmental regulation tools exert different lag effects on green technology innovation. In eastern region, economic incentives at both current phase and lag one phase can promote green technology innovation, but the effect caused by direct regulation and public participation on green technology innovation is not significant. With regard to the central and western regions, the direct regulation at the lag one phase can promote the innovation of green technology, while at the current phase, the direct regulation has no significant impact on the innovation of green technology. Even more, economic incentives and public participation have little effect on green technology innovation. Besides, the impacts of the three regulatory tools on green technology innovation are not significant after lag two phase.
       Second, as for the eastern region, economic incentives exert a single threshold effect on green technology innovation. More specifically, the promoting effect of economic incentive on green technology innovation reaches the maximum when the incentive intensity is higher than the threshold value (-8.3404). In central region, the direct regulation exerts a single threshold effect on green technology innovation. Specifically, the direct regulation will significantly promote the innovation of green technology when the intensity of regulation is lower than the threshold value (-0.146). As for western regions, the direct regulation exerts a double threshold effect on the incentive effects of green technology innovation. Particularly, the incentive effect of regulation on the green technology innovation of enterprises will not be obvious when the intensity of regulation is lower than the smaller threshold value (-0.2785). Correspondingly, the effect will be significantly weakened when the intensity of regulation is higher than the larger threshold value (-0.1801). Only when the intensity of regulation is within the range between -0.2785 and -0.1801, the incentive effect of direct regulation on the green technology innovation of enterprises will be optimal.
       Based on the conclusions above, this article gives the following suggestions:
       First, the central government should formulate different environmental regulatory policies and implementation intensity based on the actual situation in different regions. It is generally acknowledged that a sound environmental regulation policy can promote the reasonable allocation of regional resources and maximize their role in the development of green technology innovation. Thus, in the eastern region, the government should focus mainly on economically-stimulated regulatory tools, and the intensity of regulation should be controlled within the optimal regulatory range of promotion, so as to maximize green technological innovation. With regard to the central and western regions, direct regulation tools should mainly be used, and environmental regulation intensity should be strengthened in the central region; specifically, as to the western region, the government should control the intensity of environmental regulation within the optimal range of promotion, give full play to the incentive effect of environmental regulation, to avoid the generation of adverse effects on green technology innovation exerted by too high or low intensity of regulation. 
        Second, a long-term mechanism of environmental management and control should be established as soon as possible in order to improve the environmental governance system. At present, government′s environmental regulation policies are majorly based on direct regulation and economic incentives, while the impact of public participation on green technology innovation is limited. And environmental regulation policies are mainly implemented by the government and enterprises, while social organizations and the public know little about this kind of public information. Therefore, the government should further improve relevant laws and regulations, give full play to the role of social organizations and the public in monitoring environmental governance, and should strengthen the incentives of public participation-based regulatory tools for green technology innovation. A government-led, enterprise-based, social organizations and the public-participation environmental governance system should be established. These measures can encourage enterprises to change from end-of-pipe control to source control, improve their green technology innovation capability and to transform as well as upgrade to green production.
        In the future, the government should further improve relevant laws and regulations, give full play to the role of social organizations and the public in monitoring environmental governance, strengthen the incentives of public participation-based regulatory tools for corporate green technology innovation, and build a government-led, enterprise-based environmental governance system jointly-participated by social organization and the public. These measures can contribute to motivating enterprises to change from end-of-pipe control to source control, improving their green technology innovation capabilities, and transforming as well as upgrading enterprises to green production.
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    Integrated and multi-domained management of research and development projects based on knowledge graph and DSM
    Yang Qing, Chang Mingxing, Wang Qinru, Yao Tao
    2022, 43(4): 119-128. 
    Abstract ( 257 )  
       The new product development (NPD) project is a complex system involving customer needs, product functions and components, organization and other different knowledge fields. These domains or fields interact and influence each other. NPD is undergoing a transformation from "technology-centered" to "customer-centered". Hence, how to integrate customer knowledge into the product development and innovation process has become more and more important. The knowledge graph method related to big data can more objectively and comprehensively analyze the dependency relationship between different domains than traditional methods and dependency structure matrix (DSM) is a useful tool to analyze the relationship between multiple knowledge domains. The knowledge graph method uses the visual method to identify and construct the relationship between entities and attributes, which can more truly show the relationship between entities in the real world.
       Accurate identification of customer needs is basic challenge for developing new products. Knowledge graph related to big data technology can effectively solve this problem. Based on information such as customers′ online behavior, knowledge graph technology can accurately capture customers′ needs and their priorities. At the same time, the knowledge graph can more comprehensively and visually reflect the complex relationships among multiple knowledge domains, such as customer needs, products and organizations involved in the research and development project, and quantify the internal and external relationships of each domain, thus greatly improve the accuracy of data and NPD project management efficiency. However, previous studies on knowledge graph mainly focus on the technical aspects such as how to construct the knowledge graph, but ignore the application of knowledge graph in NPD projects. 
        Thus, this paper proposes the NPD knowledge graph and combines it with dependency structure matrix (DSM) to identify the dependence strength among different domains in NPD projects. First, according to the relationship between customer needs and customers in the NPD knowledge graph, this paper builds models to measure the priority of customer needs. We measure the weight of customer needs according to the number of links between customer needs and customer nodes. Next, combing the DSM and Quality Function Deployment (QFD) method, this paper builds models to derive the dependency strength between functions through the "demand-function" QFD. The dependency between components includes direct and indirect dependency relationship. Then, the function-product DMM (Domain Mapping Matrix) is built to further analyze the dependency between elements in the function and product domains. And the "function-product" MDM (multi-domain matrix) is established through integrating the functional DSM, the product DSM, and function-product DMM. Using the "function-product" MDM, this paper builds models to derive the dependency strength between components through known DSM and MDM. Finally, to improve the algorithm′s stability and reduce the management complexity through the clustering method, this paper presents a two-stage clustering method based on minimizing the Weighted Average Entropy (WAE) which includes External Cluster Average Entropy (ECAE) and Internal Cluster Average Entropy (ICAE). The information entropy represents the order degree of information coordination between elements of internal cluster or external cluster and it is related with the possibility of information exchange.
        An industrial example is used to illustrate the proposed method and model. The results reinforce several managerial practices but also yield new insights, such as how to measure the priority of customer needs, how to derive the dependency strength between components using the "function-product" MDM, and how to clustering the organization based on minimizing the WAE. The example results show that the proposed method can reduce the coordination complexity between clusters and improve the algorithm′s stability.
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    Green finance, environment-biased technological progress and cleanliness of industrial structure
    Zhang Yu, Qian Shuitu
    2022, 43(4): 129-138. 
    Abstract ( 245 )  
       The extensive pattern of economic growth, which is characterized with high investment level, high energy consumption, high pollution emissions, low growth quality, low economic efficiency and low economic output, has brought a incredible high-speed economic growth in the past many years in China. In the meanwhile, the huge resource consumptions and pollution emissions caused by extensive pattern of economic growth are approaching to the limit of environmental capacity gradually. Implementing green development strategy and accelerating industrial structure upgrade have become an important and urgent issue in the current period of economic development. As an important measure to implement the principle of "lucid waters and lush mountains are invaluable assets" and the practice of realizing green development goal, green financial development is directly related to the realization of clean industrial structure and sustainable development. Technology progress is an important channel of financial development impacts on industrial restructuring, and environmental technology progress is the key to resolving the contradiction between economic growth and environmental pollution. When the technological progress with high-energy and high-pollution and the technological progress with low-energy and low-pollution are at different speeds, environmental technological progress shows a certain degree of bias, and the clean technological progress which characterized by low energy consumption and low pollution has an important relationship with the cleanliness of industrial structure, and meanwhile, it is stimulated and constrained by the development of green finance. Thus, in the critical period of economic transformation in China, exploring the impact mechanism of green finance on environment-biased technological progress and cleanliness of industrial structure has important theoretical and practical significance for realizing the high quality and sustainable development of China′s economy.
        Based on the research background, this article reviews the existing literature at home and abroad, and finds that there are still two shortcomings in the current literature: Firstly, the researches about the factors affecting environment-biased technological progress mainly focus on the aspect of environmental regulation, and the researches on the relationship between green finance and environment-biased technological progress are relatively scarce. Meanwhile, the theoretical mechanism of green finance affecting environment-biased technological progress is still unclear. Secondly, the existing researches on the relationship between green finance and industrial structure mainly focus on the relationship between green finance and macroeconomic growth or the effectiveness of green credit policies. The discussion about the mechanism of green finance affecting cleanliness of industrial structure is still insufficient.
        Based on the theoretical framework of the bias of technological progress constructed by Acemoglu et al. (2012), this article expands the theoretical model which including both clean and pollution technology by incorporating green financial development factors, and then studies the inherent mechanism of green finance affecting environment-biased technological progress and cleanliness of industrial structure. Based on the theoretical analysis, this article conducts the quantitative analysis about green finance, environment-biased technological progress and cleanliness of industrial structure by using parameter calibration and numerical simulation method. 
        The results show that environment-biased technological progress is characterized by path-dependence. When the initial technological progress shows clean or pollution bias obviously, the subsequent technological progress will strengthen this feature, thus environment-biased technological progress will show clean or pollution bias continuously. Green finance can influence the relative profit and R&D behavior choices of clean and pollution R&D firms, and then influence environment-biased technological progress through financing scale and financing cost means, and further influence the cleanliness of industrial structure through direct productivity effect, indirect price effect and market size effect. Only when the proportion of financing scale or the interest rate subsidy of the clean R&D department is beyond a certain threshold, green financial development can induce the clean technology successfully, thereby promoting the cleanliness of industrial structure. When the proportion of financing scale or the interest rate subsidy of the clean R&D department is below a certain threshold, the effect of green financial development on the output value of the clean industries is offset by the effect of pollution-based technology progress, so that the output value of the clean industries continues to decline and it is not conducive to the cleanliness of industrial structure. 
       Based on the research conclusions, this article puts forward the following relevant policy recommendations. Firstly, the government should encourage more financial market players to participate in green financial development and increase the scale of green financial supply, and further reduce green financing costs for clean firms. For example, more green credit issued by commercial banks should be encouraged by providing series of targeted policies, such as reserve policy, refinancing policy for commercial banks. Incorporating the participation in green bonds underwriting into the classified evaluations of securities companies, and make it linked to the rating results directly. Secondly, increasing government support for clean technology innovation is necessary, and it will guide and motivate clean technology innovation activities through government-supported technology innovation policies and green financial policies. For example, establishing professional institutions of clean technology innovation by the government through direct funding or cooperation with universities and scientific research institutions. Supporting clean technology innovation through establishing the government green guidance fund, and driving more private capital to participate in clean technology innovation activities through the demonstration effect of government. Thirdly, the government should improve the green industry development policy and achieve coordinated development of green financial development and green industry. On the one hand, the government should give more supports to the clean industries with high added value through implementing several measurements. On the other hand, the government should limit the development of high-pollution and high-energy industries directly by implementing strict environmental protection policies, which will promote the transformation of the traditional economic growth pattern with high energy consumption and high pollution production and alleviate the path dependence of traditional industrial structure, and finally improve the cleanliness of industrial structure continuously.
        The conclusions of this article reveal the intrinsic mechanism and mathematical logic of green finance affecting environment-biased technological progress and cleanliness of industrial structure, which will help to clarify the important role of green technology innovation in improving the cleanliness of industrial structure, and provide direction for the green transformation of industrial structure and green economic development in China. Meanwhile, it can also provide the government with more ideas and strategies on how to formulate targeted green financial policies, clean technology innovation support policies and green industry support policies, which will give full play to the complementary role of existing economic policies and green finance and promote clean technological progress together.
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    Dual innovation synergy and sustainable development of enterprises: The mediating effect of competitive advantages
    Li Ruixue, Peng Can, Lyu Chaolin
    2022, 43(4): 139-148. 
    Abstract ( 255 )  
        Under the increasingly fierce market competition environment, dual innovation has become a magic weapon for enterprises to improve performance and constantly win in the industry. As we all know, dual innovation includes small and micro utilization innovation and exploration innovation with large range and strong degree. Utilization innovation will have a positive impact on the short-term financial performance and long-term competitive advantage of enterprises, while exploration innovation is conducive to the acquisition of long-term competitive advantage. However, there is a certain contradiction between the utilization innovation and the exploration innovation. Too much attention to the utilization innovation is conducive to the improvement of the short-term innovation performance, but it is easy to cause the weak market adaptability of the enterprise products, and the lack of the follow-up development power; too much attention to the exploration innovation is conducive to overcome the technical difficulties of the industry and form a competitive advantage, but the time is too long and the investment is large, and there is no stable economic income as the basis it is difficult to complete exploratory innovation. Therefore, whether the two kinds of innovation activities match well or not will directly affect the innovation performance, which will affect the enterprise performance and future development. The research on the matching problem of dual innovation mainly focuses on how to carry out the utilization innovation and exploration innovation effectively, the factors such as organizational structure, resource environment and dynamic capability and the mechanism of their relationship. Academic circles have agreed that there are two ways to match the dual innovation. One is to balance the two kinds of innovation in the case of limited resources to reduce business risk, and the other is to make full use of the promotion between the two to produce leverage effect. These two matching modes respectively involve two dimensions (aspects) of dual Innovation: dual innovation balance and dual innovation complementarity. However, scholars have different views on the mechanism of the impact of dual innovation balance and dual innovation: some researches show that the balance effect and complementary effect between utilization innovation and exploration innovation will have a positive impact on corporate performance; some researches show that the balanced dual innovations an inverted U-shaped impact on short-term financial performance, which is negatively related to long-term competitive advantage, while the combined dual innovation has a negative impact on corporate performance. It has a positive impact on short-term financial performance and long-term competitive advantage.
           In order to reveal the influence mechanism of dual innovation synergy on the sustainable development of enterprises, this paper studies the relationship between dual innovation synergy and its two dimensions and the sustainable development of enterprises and its five dimensions with the long-term competitive advantage as the intermediary variable. Questionnaire survey was used to collect data from 380 enterprises in Beijing, Shanghai, Shandong and Jiangsu for 8 months. Selection criteria of sample enterprises and filling personnel: sample enterprises carry out dual innovation and pay attention to their synergy for a long time; sample enterprises survive for more than 5 years; questionnaire is filled in by managers above middle and senior level. 226 valid questionnaires were collected, using structural equation model to test the hypothesis and analyze the path. 
         The results show that: (1) the long-term competitive advantage of enterprises with better dual innovation synergy is strong, and the strong long-term competitive advantage is conducive to the sustainable development of enterprises. (2) dual innovation balance and complementarity are conducive to the promotion of long-term competitive advantage, but from the perspective of path coefficient, dual innovation complementarity has a stronger impact on long-term competitive advantage, that is, dual innovation complementarity is more conducive to the promotion of long-term competitive advantage of enterprises. (3) the positive impact of long-term competitive advantage on sustainable development is mainly through improving the level of human resources, technological innovation ability and management ability, which has little effect on the improvement of economic strength and market adaptability. (4) dual innovation balance and complementarity are conducive to the sustainable development of enterprises, but the impact mechanism and path are different: dual innovation balance has a direct role in improving the level of human resources of enterprises, at the same time, it will improve the technological innovation ability, business management ability and the level of human resources of enterprises by improving the long-term competitive advantage; and dual innovation complementarity can directly improve the level of human resources, technological innovation ability, economic strength, market adaptability and management ability of an enterprise, and at the same time, it can improve the level of human resources, technological innovation ability and management ability of an enterprise through long-term competitive advantage. From the perspective of influence dimension and path coefficient, compared with the balance of dual innovation, dual innovation complementarity has a stronger impact on the sustainable development of enterprises. 
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    R&D elements flow, spatial spillover effect and regional innovation efficiency——An analysis of the Spatial Durbin Model based on interprovincial panel data
    Huang Mingfeng, Yao Dongmei
    2022, 43(4): 149-157. 
    Abstract ( 191 )  
       Innovation has become the core driving force of regional economic growth. It is of great significance to study the influence of inter-regional flow of R&D elements and its spatial spillover effect on innovation efficiency. Based on panel data of 30 provinces in China from 2001 to 2016, this paper uses super-efficiency DEA model and improved gravity model to measure the innovation efficiency and R&D elements flow in different regions, and establishes the Spatial Durbin Model to explore the difference of R&D elements flow and its spatial spillover effect on innovation efficiency.
        First of all, through the super efficiency DEA model to evaluate the development level of innovation efficiency in different regions of China. It is found that there is a large gap in innovation efficiency in different regions. The top five regions of average innovation efficiency are mainly located in the eastern region, and the last five regions are all located in the central and western regions. The innovation efficiency gap between regions is obvious. During the investigation, the average value of innovation efficiency in the eastern region has been higher than the national average, although there is a slight decline. It is still the leading region of innovation and development in China; the northeast region has a good momentum of innovation efficiency rise; the innovation efficiency in the central and western regions has been lower than the national average, but the overall development of the central region is stable, and the western region has a fluctuating rise, but the latter has a clear momentum of innovation and development catch-up. 
       Secondly, the improved gravity model is introduced to measure the inter-regional inflow and outflow of R&D elements in each region, and it is taken as the core explanatory variable. Four control variables, namely government support, infrastructure, industrial structure and human capital, are introduced to establish the spatial Doberman model of R&D personnel flow and the spatial Doberman model of R&D capital flow, respectively, so as to further explore the differences. The inflow and outflow of R&D factors among regions and the spatial spillover effect on regional innovation efficiency are different. From the global Moran index test results, it is found that in most years, there is a significant positive spatial autocorrelation of innovation efficiency in China, that is, there is a strong spatial dependence of innovation efficiency in each region, and the innovation efficiency in a region will be affected by the innovation efficiency in neighboring regions, and the regions with high efficiency value tend to cluster in space, while the regions with low efficiency value tend to cluster. 
        Thirdly, from the estimation results of spatial Doberman model, we can see that the inflow and outflow of R&D talents and R&D capital between regions and the spatial spillover effect of R&D capital on innovation efficiency are significantly different. The inflow of R&D talents will promote regional innovation efficiency through direct effect and spatial spillover effect, and the outflow of R&D talents will inhibit the improvement of innovation efficiency, and the inhibition effect of the latter is more than twice of that of the former, that is to say, attracting R&D talents inflow is very important to improve innovation efficiency, but retaining talents, reducing or avoiding R&D talents loss are more critical; R&D capital inflow or "market loss". The "crowding out effect" between government R&D support and enterprise R&D investment has a direct negative impact on innovation efficiency, but it mainly promotes regional innovation efficiency through spatial spillover effect. R&D capital outflow will weaken regional innovation efficiency from both direct effect and spatial spillover effect. 
        Finally, increasing government support and human capital will improve the efficiency of regional innovation. Infrastructure construction is not perfect, which cannot play its due role in promoting the efficiency of innovation. Industrial structure does not play a positive role in the efficiency of regional innovation. Therefore, in order to promote the innovation driven strategy in an all-round way at this stage, we should make full use of the comprehensive implementation of supply side structural reform, start from the supply side, vigorously develop scientific and technological innovation, and change the regional economic development mode from the factor input driven to the scientific and technological innovation driven. 
        Firstly, we need to break down the institutional barriers between regions and stimulate the leading role of the market. Break down the institutional barriers between regions, especially the institutional mechanism that is not conducive to the provincial flow of R&D elements, stimulate the leading role of the market in the rational allocation of resources, take different measures for different R&D elements, reasonably and efficiently guide the harmonious and orderly flow of R&D elements among regions, and expand the spatial spillover radius of R&D element flow. 
        Secondly, give full play to the government′s guiding role and make precise policies for different R&D elements. For R&D talents, it is necessary to improve the salary, welfare and working environment, introduce preferential policies such as zero threshold settlement of highly educated personnel, college students′ entrepreneurial loan support, etc., focus on solving the rigid demand for housing and household registration of knowledge-based talents, accelerate the interconnection between regions with different economic development degrees, and enhance the absorption capacity of R&D talents in regions with insufficient innovation and development capabilities. For R&D capital, local governments should actively promote economic deleveraging, prevent and resolve financial risks, increase equity financing, and give full play to the role of capital market and various financial institutions. 
        Thirdly, fully tap the positive effect of auxiliary elements. Encourage all regions to strengthen the infrastructure construction, promote the transformation and upgrading of industrial structure, attach importance to the cultivation of human capital, fully consider the spatial connection of innovation activities, establish the innovation resource sharing mechanism between adjacent regions, and enhance the interregional exchange and cooperation of innovation resources, so as to comprehensively and efficiently improve the efficiency of regional innovation.
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    R&D investment, marketization degree and specialized operation of enterprises
    Li Yugang, Ye Kaiyue, Wu Peng
    2022, 43(4): 158-164. 
    Abstract ( 187 )  
       Does R&D investment promote or inhibit the enterprise′s specialized operation? Relevant studies have not reached a consensus on this question, and they have also not considered the special background of China′s transition economy in depth. In the few literatures on the relationship between R&D investment and enterprise′s specialized operation, there are also two diametrically opposite views. Some scholars believed that R&D investment can promote enterprise′s specialized operation, while others believed that R&D investment can inhibit enterprise′s specialized operation. This paradox is more obvious in China′s market-oriented transition economy. Due to the large gap in marketization level among different regions, the process of enterprise strategic decision-making is more complicated. The research also found that the institutional environment affects the strategic decisions of enterprises. In emerging economies, the acquisition and utilization of enterprise resources only depends on the market mechanism to a certain extent, and in some cases the non-market mechanism will play a greater role. Therefore, this paper raises two questions: Can R&D investment promote enterprise′s specialized operation? How does the marketization degree affect the relationship between R&D investment and enterprise′s specialized operation?
       R&D investment can promote the output of new knowledge, new technology and new products, which is conducive to improving the core competitiveness of enterprises. It is easier for companies to enter other markets of the industry without entering other industries to increase risk. Leading enterprises with high R&D level will apply technology to other industries, but China is a developing country, and most of the enterprises belong to the catch-up type. Generally speaking, the pressure of external competition is great, and the technical level is at a lower stage. Enterprises that attach importance to R&D are more likely to enhance their core competitiveness through further R&D after gaining a certain competitive position in an industry. In addition, it takes time for companies to transform from R&D investment to the formation of knowledge, technology, products, and strategic decisions. Therefore, we propose that R&D investment can promote enterprise′s specialized operation, and also has a certain lag.
       In regions with high marketization degree, open and fair competition environment provides space for enterprises to expand their business. This makes it possible for enterprises with large R&D investment and high technology level to expand their market. Non-public economies has developed rapidly and information transparency has improved. Faced with the influx of more foreign competitors, enterprises can′t immediately occupy a place and quickly obtain high profits to offset the high risk of entering new fields at the beginning. Therefore, the more dependent enterprises are on R&D to improve their competitiveness, the more they will focus on a specific industry to avoid risks and failures. However, in regions with low marketization degree, the intellectual property protection system is not perfect, the development of the financial market is backward, and factor markets and product markets are distorted. This will restrict the development of enterprises in a specific industry. Therefore, once the scarce resources such as technology are mastered through R&D investment and the use level is low, enterprises will transfer these resources to other industries to seek more development opportunities, leading to a decrease in the degree of specialization. This paper proposes marketization degree has a positive adjustment effect on the relationship between R&D investment and enterprise′s specialized operation.
       The paper used China′s 2008-2014 Shanghai and Shenzhen A-share manufacturing listed companies as samples, and finally selected 410 companies from 31 provinces. Regression analysis was used to test the hypothesis relationship. This study has several findings. R&D investment promotes enterprise′s specialized operation and has the effect of time accumulation. Marketization degree has a positive regulating effect on the relationship between R&D investment and enterprise′s specialized operation. In other words, compared with regions with low marketization level, R&D investment in regions with high marketization level can promote enterprise′s specialized operation more.
        The findings of this paper have important theoretical contributions. First, in typical studies abroad, Galan and Sanchez (2006) pointed out that R&D investment inhibited the enterprise′s specialized operation, which was contrary to the conclusion of this paper. Through careful study, we found that Galan and Sanchez (2006) took American large manufacturing companies in 2002 as the samples, while this paper took Shanghai and Shenzhen A-share manufacturing companies listed from 2008 to 2014 as the research objects. The R&D level of the United States is in a leading position in the world, and the R&D capabilities of its large and mature enterprises have a highest level in the world. In contrast, China′s enterprises generally have a low level of R&D and weak competitiveness. In such an environment, Chinese enterprises that attach importance to R&D will focus on a certain industry for their own development. Second, domestic scholars have only explored the direct impact of institutional factors on the choice of business strategy, but have not realized that the impact of R&D investment on enterprise′s specialized operation will also change under different institutional environments. This paper discusses the moderating effect of marketization degree on R&D investment and enterprise′s specialized operation. This not only excavates the rule of institutional environment′s effect on enterprise operation, but also enriches the mechanism of institutional theory.
        This paper also provides the practice enlightenment for the enterprise management strategy decision-making. First, from the perspective of enterprises, enterprises in developed countries are in the leading position in the industry and have strong competitiveness. With the increase of R&D investment and the improvement of technology level, enterprises will realize diversification through technology sharing. However, Chinese companies are still focused on catch-up and generally have a low technology level, which cannot be compared with that of developed countries. With the increase of R&D investment, Chinese enterprises are more helpful to improve their competitiveness in the industry by strengthening specialized operation. This can avoid the failure caused by resource dispersion. Second, from an institutional perspective, we find that the more market-oriented the region, the more intense the competition. In order to cope with the pressure of external competition in the same industry, enterprises that attach importance to R&D should stick to the main industry. In China, the more developed the region, the more obvious the positive relationship between R&D investment and enterprise′s specialized operation.
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    The dominant logic: Connotations, research topics and future prospects
    Zhang Lu, Han Yuqi, Yan Zichun, Cui Minjie, Zhang Qiang, Wu Yujie
    2022, 43(4): 165-176. 
    Abstract ( 233 )  
       Dominant logic theory, as a methodology to guide enterprises to construct organizational cognition and generate action practices to shape competitive advantages, has attracted academic attention. At present, the research of dominant logic is mainly about the combination of service-oriented logic, innovation management, marketing and so on, the evolution from commodity dominant logic to service dominant logic, and the interpretation of the relationship between service-oriented dominant logic and value co-creation. Although this provides a rich theoretical basis for Chinese scholars to carry out relevant research, the existing research lacks the basic knowledge of the dominant logic theory from the perspective of the whole process of theoretical development, fails to systematically sort out its theoretical development context and hot issues, and lacks common theoretical basis to build knowledge framework. As a result, it is difficult for the academic circle to summarize and explore the local extension application of the dominant logic theory based on the existing literature, and the practice circle cannot accurately refine the core management ideas to guide the enterprise innovation practice based on the existing research. Therefore, it′s very necessary for the dominant logic theory literature systematically comb, further clarify the basic knowledge of content, and the research category of overall development, is advantageous for the related academics dominate the logical theory knowledge architecture and hotspot issues and development process to carry out academic research and boosting development and perfection of the dominant logic theory system. 
        Based on WOS database and CNKI database, this paper conducts retrieval in both Chinese and English to obtain sample data, adopts the research method combining bibliometrics and induction, systematically combs sample literature from the perspective of the whole process of theoretical development, and clarifies the development context and research hotspots of the dominant logic theory.
        In order to systematically understand the research status of dominant logic, this paper firstly conducts descriptive statistics on the sample literature, discovers that: the research on dominant logic in China started late, but its annual publication fluctuation trajectory is generally similar to that of international research; the research hotspots of dominant logic involve the research directions represented by high-frequency keywords such as service-dominant logic, co-creation, management, performance, innovation and strategy; the research on dominant logic has evolved from exploring "the internal relationship between enterprise multiple strategies and performance", to "responding to market demand to improve service capacity", and then to "attaching importance to create value with consumers to gain competitive advantage".
       Secondly, this paper clarifies the origin of dominant logic and finds that this concept has been applied from psychology and philosophy to the field of strategic management. It refers to a potential rule of internal operation of an organization. At the same time, this paper gives a clear definition of the concept of dominant logic. In addition, this paper differentiates the concept of dominant logic from similar concepts such as manager cognition, organization cognition and organization practice.
       Finally, this paper explores the application and expansion of dominant logic theory, summarizes its formation mechanism, action mechanism and characteristics, and then constructs the knowledge framework. On this basis, this paper puts forward the future development direction, guides scholars to enrich the localization research of shared cognition of senior management team and the coexistence operation mechanism of multi dominant logic within enterprises, and further deepen the internal mechanism of dominant logic, in order to provide theoretical reference for Chinese scholars to deepen the theoretical research of dominant logic from the theoretical level, from the practical level, it provides a reference for enriching the management experience of enterprise executives in making strategic decisions and changing the internal dominant logic.
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    The effect of trust asymmetry and network embedding on team innovation mechanism
    Qu Gang, Lu Xin, Wang Qi
    2022, 43(4): 177-184. 
    Abstract ( 147 )  
       Innovation is an important driving force for enterprises to maintain a competitive advantage and promote sustained economic growth. The high failure rate of tasks generally faced by innovation teams makes it a key reason for restricting the innovation and development of enterprises. Existing studies have found that teamwork formed by team members based on their knowledge of each other is an important prerequisite for reducing innovation failure rates. Transactive memory system is a cognitive division mechanism that fully utilizes and coordinates knowledge in different fields within the team to achieve efficient division of labor and collaboration, and has an important impact on the innovation performance of the team.
        By combing the relevant literature, this study found that there are still the following theoretical issues to be explored about the impact of the interactive memory system on the performance of innovative teams: First of all, the existing literature on the antecedents of the formation of transactive memory system is limited to team characteristics, team communication, etc., ignoring the influence of general phenomenon of trust asymmetry on the interactive memory system. Secondly, most of the existing studies have explored the formation mechanism and value boundary of transactive memory system based on the characteristics and types of tasks, but little attention has been paid to the important situational factor of team social network structure. 
        This paper focuses on the interference of trust asymmetry on the active cooperative behavior of team members may be an important factor in the formation of transactive memory system. Therefore, this paper constructs a theoretical model of "trust asymmetry-transactive memory system-innovation team performance" to investigate the antecedents and value effects of transactive memory system, and to reveal the boundary conditions of the value creation of transactive memory system from the perspective of network embedding.
        In this paper, a mobile application software project design team composed of students from a university is selected to carry out experimental research, and empirical analysis methods are used to test the reliability and validity of the data and verify the hypothesis. The research found that: firstly, transactive memory system has a significant positive impact on the performance of innovative teams, and its mechanism of action can be summarized as three paths: promotion of team creativity, increasing task efficiency and improvement of member satisfaction. Secondly, trust asymmetry is not conducive to the formation and development of transactive memory systems. Asymmetric trust will trigger the knowledge hiding behavior of team members, which is not conducive to the identification, retrieval and coordination of each other′s knowledge, and hinders the effective operation of transactive memory system. Furthermore, social networks among members have significant boundary effects. The centralization of network can significantly weaken the inhibitory effect of trust asymmetry on the transactive memory system, but at the same time reduce the positive contribution of transactive memory system to team performance.
        The research conclusions not only expand the related research on the performance-driven mechanism of innovative teams from the perspective of trust asymmetry, but also reveal the boundary conditions of transactive memory system driving innovative team performance from the perspective of network embedding, which has important practical significance for improving team and enterprise innovation performance: First, enterprises should pay full attention to the positive effect of team transactive memory system on team division and collaboration and its outstanding contribution to team performance. Second, enterprises should continuously strengthen the trust environment of the innovation team and optimize the knowledge coordination effect of transactive memory system. Third, enterprises should dynamically adjust the network embedding characteristics of members according to the evolution law of team goals, so as to maximize the value contribution of transactive memory system.
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    Venture capital, internationalization strategy and enterprise innovation performance——Based on the research of China′s GEM listed companies
    Hao Chen, Zhang Weiguo, Li Mengya
    2022, 43(4): 185-191. 
    Abstract ( 210 )  
       With the increasingly fierce competition in the global market, Chinese companies have gradually begun to try international operations, and internationalization strategies have increasingly become a regular option for Chinese companies′ overall strategies. When entering into overseas markets, start-ups may face more serious obstacles and difficulties due to their "new creation weakness". As an investor with a natural and highly compatible nature with startup companies, venture capital has played a key role in the growth and development of the company. However, few scholars have considered the impact of venture capital on the choice and implementation of corporate internationalization strategies. In addition, with the continuous development of international innovation networks, companies in emerging economies have also adopted international operations as a key strategy for the growth and development of enterprises. However, the existing researches on the relationship between internationalized operations and corporate innovation performance mainly take developed countries as research objects and have not yet obtained consistent research results. Moreover, unlike developed countries′ internationalization paths based on ownership and technological advantages, enterprises in emerging economies have relatively weak innovation capabilities. Acquiring more advanced technologies and improving innovation capabilities are often important drivers of their internationalization strategies. Therefore, in China, an emerging economy with relatively insufficient innovation capabilities, how does the implementation of internationalization strategy affect the innovation performance of enterprises? 
        However, in the existing literature, when examining the relationship between internationalization strategies and corporate innovation performance, the differences between the depth of internationalization and the extent of internationalization on corporate innovation performance have not been distinguished, but some scholars find that the effects of internationalization in different dimensions on corporate performance and corporate value are not consistent. At the same time, the existing literature does not consider the regulatory role of the important factor of venture capital in studying the impact of internationalization strategies on corporate innovation performance. 
        Based on this, this article attempts to make up for the above research gap. Taking the companies listed on the Shenzhen Stock Exchange′s Growth Enterprise Market from 2010 to 2016 as research objects, this paper explores the impact of venture capital on the company′s internationalization strategy through two-dimensional subdivision of international operations. And further investigate whether the internationalization strategy can improve the innovation performance of the enterprise and how the venture capital affects the effect of the internationalization strategy on the innovation performance of the enterprise. The research finds that: (1) venture capital intervention has a positive effect on the formulation and implementation of the enterprise′s internationalized depth strategy and breadth strategy; (2) the implementation of the internationalized in-depth development strategy by the company can significantly improve the innovation performance of the company. However, the international breadth development strategy has failed to have a positive impact on the innovation performance of enterprises, but venture capital intervention can positively regulate the relationship between the depth of internationalization or the breadth of internationalization and the innovation performance of enterprises. When an enterprise receives the support of venture capital, the implementation of an international development strategy by the enterprise, whether it is to deepen the depth of internationalization or expand the breadth of internationalization, can significantly improve the innovation performance of the enterprise, that is, the involvement of venture capital can effectively enhance the role of innovation value-added of international development strategies, and thus enhanced the positive impact of internationalization strategy on the enterprise innovation performance. After further investigating the differences of whether the venture capital institutions exited after the company went public and the role of venture capital institutions with different characteristics in regulating the relationship between internationalization strategies and corporate innovation performance, it is found that venture capital institutions can only adjust the relationship between internationalization strategy and corporate innovation performance by continuing to hold shares after the company is listed. When private background, foreign background, high-reputation background venture investment intervention, long-term investment period of venture capital institutions, joint investment strategies of multiple institutions, and ability to participate in corporate governance, venture capital are more positively regulated the relationship between the internationalization strategy and the innovation performance of enterprises, and the promotion effect of the implementation of internationalization strategies on the innovation performance of enterprises is more significant. 
        On the one hand, the research results not only help to enrich the research perspective in the field of internationalization behaviors of enterprises, but also expand further the relevant mechanism for venture capital to play an innovative value-added role, and on the other hand, the difference in the impact of internationalization behaviors of different dimensions on corporate innovation performance can provide useful inspiration and reference for Chinese enterprises to improve effectively their innovation ability and accelerate their pursuit of innovation under the background of high-quality development.
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    The effect of social insurance premium reduction policies on enterprise technology innovation
    Li Xiuyu, Shi Yaya, Hao Wenwen
    2022, 43(4): 192-200. 
    Abstract ( 185 )  
       Under the downward pressure of domestic and foreign economy, "Tax reduction and Fee reduction" has become an important means to enhance the vitality of enterprises and promote high-quality development. Different from other tax policy reforms, the social insurance premium reduction policy will affect the development of enterprises through two aspects: financial capital and human capital. However, the impact and mechanism of the policy on the high-quality development of enterprises are not clear. Based on this, this paper takes the social insurance premium reduction policy implemented by various prefecture level municipal governments as an exogenous event, using difference-in-difference (DID) model, and examines the impact of the social insurance premium reduction policy on the high-quality development of enterprises from the micro perspective of enterprise technological innovation. The results show that the social insurance premium reduction policy is conducive to improve the level of enterprise technological innovation. Further analysis shows that the social insurance premium reduction policy mainly promotes enterprise technological innovation by increasing R&D investment and optimizing personnel structure, but there are differences in the impact of the two paths: it can promote enterprise substantive innovation and strategic innovation through R&D investment, and it can only promote enterprise substantive innovation through personnel structure. Finally, the heterogeneous analysis shows that the above effects are more significant in state-owned enterprises and enterprises with better regulatory environment. The research conclusions of this paper not only provide incremental evidence for the research in the field of "Labor economics and Micro enterprise behavior", but also provide theoretical support for "Tax reduction and Fee reduction" and other business environment optimization measures. Innovation is the strategic support for building a modern economic system, but the lack of innovative talents, excessive tax burden on R&D talents and high labor cost are all important factors to inhibit enterprise innovation. 
       The research conclusion has important policy enlightenment and practical significance. First, under the downward pressure of the economy, how to revitalize enterprises has become an important problem for high-quality economic development. Since 2015, the central government has repeatedly announced the policy of reducing social insurance rates. The goal of the social insurance premium reduction policy is to "release water to raise fish" and obtain the long-term and high-quality development of enterprises and economy at the expense of the government′s short-term interests. However, the implementation of the policy of tax reduction and fee reduction has brought huge financial pressure to the government. What is the significance of the implementation of the tax reduction and fee reduction policy and whether it needs to be continued has become a prominent problem faced by the current government′s finance work. This paper finds that the implementation of social insurance premium reduction policy can promote enterprise technological innovation. It provides confidence and theoretical evidence for the implementation of the social insurance premium reduction policy. Secondly, for enterprises, the dividend of the social insurance premium reduction policy is not only to reduce the burden, improve cash flow and anti-risk ability. The research of this paper shows that the social insurance premium reduction policy can improve the personnel structure and promote the level of technological innovation of enterprises. Therefore, enterprises should seize this policy dividend, further optimize the personnel structure, and realize the improvement of quality and efficiency through the upgrading of their own innovation level.
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    Directors′ and officers′ liability insurance and enterprise innovation
    Zhou Donghua, Luo Shengzhe, Zhao Yujie
    2022, 43(4): 201-208. 
    Abstract ( 224 )  
       In 2012, the 18th National Congress of the Communist Party of China elevated enterprise innovation to a national development strategy, and since then, both enterprise innovation input and innovation output have been greatly enhanced. However, compared with developed economies, China′s enterprise innovation is still in the primary stage of innovation, and the innovation achievements are mostly focused on process and product innovation, and there is still room for development in the deep level of innovation such as functional innovation and chain innovation. In fact, enterprise innovation is not an overnight process, but a process that requires companies to make efforts to wrestle with external uncertainty, and this process is of high probability of failure, which lead to a lack of incentives for managers to invest in innovative projects. More realistically, if an innovation project fails, managers are likely to face a reduction in their future compensation, or even lawsuits from investors, as well as career disruptions. Therefore, it is critical in solving the problem of innovation by increasing management′s tolerance for the uncertainty of innovation activities, reducing the risk to their career and reputation, and motivating and maintaining their motivation to sustain innovation activities.
       The relationship between manager incentives and the level of technological innovation in enterprises has always been a hot topic in academic research. The existing research mainly discusses the impact of corporate incentives on enterprise innovation from the perspectives of salary incentives, salary stickiness, equity incentives and employee stock ownership plans. However, there are few articles from the perspective of insurance incentives, and through the risk transfer mechanism of insurance, to study its impact on enterprise innovation. In order to make up for the lack of research, this paper intends to use the risk transfer mechanism of insurance as an entry point to explore the impact of insurance incentives on enterprise innovation.
       In order to further answer the research questions, this paper explores the relationship between D&O liability insurance and enterprise innovation, and what kind of path does D&O liability insurance play in enterprise innovation. This paper puts forward the hypothesis that the purchase of D&O liability insurance is significantly positively related to the ability of enterprise innovation. Through multiple regression analysis, the data is analyzed and the hypothesis relationship is verified. The results show that the purchase of D&O liability insurance can improve the level of enterprise risk tolerance and promote the level of technological innovation.
        The conclusions of this paper can be drawn as follows: Firstly, as a means of transferring enterprise risk, D&O liability insurance transfers the risk of liability that may be faced to the insurance company, thus providing the managers with a "disclaimer clause" and lifting the managers. The layer of worries about career risk makes it unnecessary to worry too much about personal financial losses caused by mistakes in decision-making, which helps to adjust the risk aversion characteristics of managers, so that investment in high-risk and uncertain projects is no longer excluded, more willing engage in high-risk innovation projects to effectively enhance the enterprise′s ability to innovate. This conclusion further provides a feasible means for improving the level of innovation of enterprises, and provides effective evidence for the promotion of D&O liability insurance in China.
        Secondly, this paper finds that, on the one hand, the purchase of D&O liability insurance can protect directors, supervisors and senior executives from litigation accountability caused by negligence, and diversify the risk of claims faced by managers into corresponding insurance costs. Thereby, the enterprise′s risk-taking ability is enhanced, and the managers becomes relatively aggressive in investment, thereby enhancing its enthusiasm for innovation and making it more willing to carry out innovation activities. On the other hand, D&O liability insurance can place insurance enterprises in the position of external regulators, through effective external supervision of the enterprise, helps to reduce the degree of information asymmetry, ease the agency conflict between shareholders and managers, inhibit the opportunistic tendency of managers, and encourage managers to take risks and risk more. But more valuable projects, thereby increasing the level of enterprise risk-taking. This conclusion further clarifies the mechanism of the enterprise′s purchase of D&O liability insurance.
         Finally, through a series of analysis of macro and micro characteristics heterogeneity of enterprises, this paper finds that the relationship between D&O liability insurance and enterprise innovation of state-owned listed enterprises, listed enterprises with low concentration of shares and non-two-in-one listed enterprises, is more significant. The relationship between D&O liability insurance and enterprise innovation of listed enterprises in high-tech industries and listed enterprises with high degree of marketization, is more significant.
        This paper also has practical significance for enterprises to purchase D&O liability insurance to promote enterprise innovation. This paper finds that D&O liability insurance plays an important role in enterprise innovation, which provides a theoretical basis for promoting purchase D&O liability insurance in China, and provides a practical reason for listed enterprises to purchase D&O liability insurance. It also provides a theoretical basis for the implementation of the "Several Opinions of the State Council on Accelerating the Development of Modern Insurance Service Industry" promulgated in 2014. On the other hand, the results of this paper are also instructive to the adjustment of enterprise innovation policies. Given the impact of D&O liability insurance on enterprise innovation, local government should be committed to building a good liability insurance legislation, judicial, law enforcement and regulatory mechanisms to create an environment in which liability insurance is applied in enterprises to help enterprises better exert their innovative vitality, thus having a positive impact on China′s technological innovation and upgrading.
       The enlightenments of this study are as follows: The possible contributions of this paper are as follows: (1) This paper enriches the research on the influencing factors of enterprise innovation. In recent years, the research on enterprise innovation has spanned the interdisciplinary fields of law, psychology and sociology, but little paper study it′s effect from the perspective of insurance, this paper explores the impact of D&O liability insurance on enterprise innovation from the perspective of D&O liability insurance, which further expands the relationship between external corporate governance mechanisms and enterprise innovation. (2) Revealing the mechanism of D&O liability insurance to promote enterprise innovation. Although scholars′ research also involved D&O liability insurance and enterprise innovation, it often did not study the mechanism of D&O liability insurance and innovation. This paper studies the impact mechanism of the purchase of the D&O liability insurance on the innovation of the enterprise from the perspective of the level of risk-taking, which enriches the corporate governance effect of the D&O liability insurance.
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