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    20 April 2024, Volume 45 Issue 4 Previous Issue    Next Issue

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    Research on the impact of digital transformation strategy on the digital innovation performance of enterprises
    Yu Jiang, Bai Yutong, Meng Qingshi, Chen Feng
    2024, 45(4): 1-11.  DOI: 10.19571/j.cnki.1000-2995.2024.04.001
    Abstract ( 851 )  
       China′s digital transformation and innovation development trends have attracted widespread attention. The report of the 20th National Congress of the Communist Party of China clearly pointed out that reinforcing the principal role of enterprises in innovation and giving full play to the guiding and supporting role of key high-tech enterprises. How corporate strategies can improve digital innovation performance and promote the development of the digital economy is now a hot topic in industry and academia. Based on 1,612 unbalanced panel data of A-share listed digital enterprises in China from 2007-2017, this paper studied the mechanism of the impact of digital transformation strategy on corporate digital innovation performance. The research results showed that: (1) corporate knowledge absorptive capacity plays a partially mediating role in digital transformation strategy and corporate digital innovation performance; (2) the nature of ownership positively moderates the positive relationship between knowledge absorptive capacity and digital innovation performance; and (3) the concentration of ownership negatively moderates the positive contribution of knowledge absorptive capacity to digital innovation performance. This study will help enterprises clarify the digital innovation performance path, help companies succeed in digital innovation, enhance the digital innovation capabilities of Chinese companies, and serve the development of the digital economy.
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    A configuration study of the relationship between the multi-dimensional linkage of organizational changes and the innovations of state-owned enterprises
    Guo Changwei, Zhou Luoxuan, Wang Fengbin
    2024, 45(4): 12-19.  DOI: 10.19571/j.cnki.1000-2995.2024.04.002
    Abstract ( 222 )  
        For state-owned enterprises (SOEs) aiming to create an innovative milieu, tackling intrinsic structural challenges is pivotal. Rooted in the "Structure-Process-Boundary" framework, this study investigated the linkage effect of centralization, specialization, reward individualization, intra-organizational collaboration, and inter-organizational cooperation on firm innovation. Through a qualitative comparative analysis of 50 cases of SOEs′ innovation, this paper identified three configurations that contribute to high level of innovation: open platform, honeycomb collaboration, and concentrated network. In contrast, three configurations—closed centralization, rigid incentive, and internal dispersion—are found leading to low-level of innovation. The comparisons between configurations indicated the importance of harmonizing either centralized or decentralized structures with collective or individualized reward systems and the inherent value of inter-organizational cooperation. These findings shed light on the complex causal relationship between the organizational multi-dimensional change and the realization of innovation in SOEs. Beyond enhancing the configurational theory in the domain of organizational change, our insights will urge managers to embrace both holistic and dialectical methodologies when discerning the overarching effect of organizational change on innovation, and will provide strong support for the continuous promotion of firm innovation and development through appropriate organizational design. 
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    Research on the process mechanism of digital innovation and capability reconfiguration in manufacturing enterprises
    Zhang Zhengang, Hu Antao, Ye Baosheng
    2024, 45(4): 20-31.  DOI: 10.19571/j.cnki.1000-2995.2024.04.003
    Abstract ( 233 )  
       Digital innovation, as a new innovation paradigm for manufacturing enterprise, its connotations and implementation processes are becoming a focus of research in academia and industry. Based on the literature on digital innovation, digital capabilities and the theory of strategy-capability matching, this paper studied the process mechanism of digital innovation and digital capability reconfiguration in manufacturing enterprises. Through a longitudinal case study of Gree Electric Appliances, the results of study are as follows: Firstly, the implementation process of digital innovation in manufacturing enterprises can be divided into three stages: digital process innovation, digital product innovation and digital service innovation. Digital innovation strategies can be guided by three types: efficiency-oriented, novelty-oriented and convergence-oriented. Secondly, the three digital capabilities of digital synergy, digital innovation diffusion and digital value-added play a leading role respectively. The ways of reconfiguring digital capabilities include evolutionary reconfiguration, substitution reconfiguration and co-creation reconfiguration. Thirdly, there are differences in the process mechanism of implementing digital innovation strategies to reconfigure digital capabilities at different stages of digital innovation. Specifically, in the stage of digital process innovation, efficiency-oriented digital innovation forms digital synergy capabilities through evolutionary reconfiguration. In the stage of digital product innovation, novelty-oriented digital innovation forms digital innovation diffusion capability through substitution reconfiguration. In the stage of digital service innovation, convergence-oriented digital innovation forms digital value-added capabilities through co-creation reconfiguration. This paper opened up the "black box" of the process for manufacturing enterprises to implement digital innovation strategies and reconfigure their digital capabilities, thus providing theoretical guidance and practical inspiration for manufacturing enterprises to carry out digital innovation activities.
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    Research on the collaborative construction of the innovation ecosystem of new energy vehicle enterprises
    Zhou Quan, Cheng Mengting, Wu Shaobo, Zeng Li
    2024, 45(4): 32-41.  DOI: 10.19571/j.cnki.1000-2995.2024.04.004
    Abstract ( 270 )  
        The new energy automobile industry is an important part of China′s innovative economy. From the perspective of collaborative innovation, it is necessary for new energy vehicle enterprises to construct the innovation ecosystems for innovative development. This paper selected the new energy vehicle company BYD as the research object, used the longitudinal case study method to analyze the collaborative mechanism and influencing factors of innovation ecosystem construction by BYD and other innovation entities. The research results showed: (1)Strategic collaboration, organizational collaboration and resource collaboration  are three fundamental mechanisms for constructing the new energy vehicle innovation ecosystem. They jointly support the construction and development of the ecosystem by providing strategic orientation, organizational guarantee and resource foundation. (2)The complexity and diversity of technological innovation, cooperation preference and trust and industrial policies influence the ecosystem construction, which need to play positive roles under collaborative mechanism. This study has made up the deficiency of research on collaborative mechanism in innovation ecosystem construction, and put forward practical suggestions for the new energy vehicle enterprises.
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    Research on the resistance path of business model innovation under the background of digital transformation
    Wang Bingcheng, Sun Yuxin, Huang Yao
    2024, 45(4): 42-51.  DOI: 10.19571/j.cnki.1000-2995.2024.04.005
    Abstract ( 174 )  
         The digital transformation of enterprises not only requires the completion of digital technology updates and iterations, but also the use of digital technology to disrupt the underlying logic of value creation and acquisition, and to change or create new business models. However, in practice, many enterprises still adhere to their existing organizational structure and management model, and are more inclined to maintain the status quo, resist business model innovation, leading to a decline in market share, declining performance, and even being eliminated, such as Kodak′s bankruptcy, Nokia′s decline, and Yahoo′s decline. It can be seen that in the context of a transitional economy, enterprises need to constantly change their business models, and resisting business model innovation is the key to losing competitive advantage. Therefore, how to weaken the resistance to business model innovation in enterprises has become an important issue. It is necessary to clarify the formation path and internal mechanism of business model innovation resistance, and provide corresponding theoretical guidance for solving the problem of business model innovation resistance in the context of digital transformation.At present, few scholars reverse study the problem of business model innovation, and the research on innovation resistance mainly focuses on consumers. Few scholars have dealt with the problem of business model innovation resistance in the process of enterprise transformation, and its action path and internal mechanism still lack sufficient theoretical attention. Based on this, this paper uses the procedural grounded theory approach to conduct an in-depth analysis of 8 typical enterprises that are resistant to business model innovation, and builds a theoretical model of business model innovation resistance under the background of digital transformation.The study found that, the resistance to business model innovation is different from the resistance to product innovation, which covers the resistance of enterprises to changing the comprehensive logic of the overall business model elements. According to the differences in context and dominant factors, the business model innovation resistance of enterprises in the context of digital transformation can be divided into four categories, namely, the "hanging back" type of business model innovation resistance arising from the fact that enterprises are afraid to innovate, the "self-limiting" type of business model innovation resistance due to the multiple constraints on enterprises, the "powerless" type of business model innovation resistance due to the lack of enterprise capabilities, and the "self-contented" business model innovation resistance arising from enterprises being satisfied with the stable business status. The four types of business model innovation resistance can be explained by risk decision theory, path dependence theory, resource-based theory and performance feedback theory.The contribution of this study is mainly reflected in the following aspects: (1) In terms of theoretical value, firstly, this study proposes the concept of resistance to business model innovation, which not only enriches the research system of business model innovation and expands the scope of previous research on innovation resistance that was mostly consumer centered, but also helps to distinguish it from related variables such as product innovation resistance, deepening the understanding of business model innovation resistance in existing research. Secondly, this study explores the classification model and mechanism of enterprise business model innovation resistance under the background of digital transformation, which helps to reveal the heterogeneity process of different types of business model innovation resistance, and provides a theoretical basis for understanding why enterprises resist business model innovation and how to better promote business model innovation. (2) In terms of practical value, this study has deepened the industry′s understanding of the resistance of enterprises to business model innovation in the context of a transitional economy, providing reference for enterprises to overcome obstacles to business model innovation and promoting business model innovation practices in the context of digital transformation.
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    Research on the evolution of latecomer firms′ market cognition from the perspective of disruptive innovation
    Zhang Guangyu, Zhang Yao
    2024, 45(4): 52-61.  DOI: 10.19571/j.cnki.1000-2995.2024.04.006
    Abstract ( 128 )  
        The realization of disruptive innovation by latecomer firms not only involves the transgression of technological performance but also needs to break the disadvantage of market cognition and be tested by the market. However, existing studies have not yet paid attention to the importance of market cognition and have not systematically analyzed its mechanism and evolution. Therefore, this paper adopted a longitudinal multi-case approach, by selecting cases of corporate disruptive innovations such as Didi, Meituan, and Airbnb to examine the evolutionary path of market cognition. The findings of this paper are as follows: (1) the market cognition of latecomer firms shows an evolution of states such as differentiated image, excellent status, and leader status to drive firms through start-up, catch-up, and maturity phases to achieve disruption of traditional incumbents; (2) during the start-up period, driven by niche-inducing motivations, latecomer firms adopt shaping mechanisms such as detachment actions and value construction. In turn, they can achieve new market entry by forming a differentiated image; (3) during the catch-up period, driven by competition-driven factors, latecomer firms adopt transformative mechanisms such as intensified actions and reorientation. In turn, they realize new market advancement by establishing the status of excellence; (4) during the maturity period, driven by future trend-led factors, latecomer firms adopt segregation mechanisms such as separation actions and future leadership. In turn, they become emerging industry leaders and complete the evolution of market cognition. The theoretical research model in this paper has provided some valuable managerial insights to guide latecomer firms to break through the market cognition disadvantage and realize disruptive innovation. 
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    Research on identification method of disruptive technology based on patent mining and Gompertz Model
    2024, 45(4): 62-72.  DOI: 10.19571/j.cnki.1000-2995.2024.04.007
    Abstract ( 209 )  
        Disruptive technology has become an important starting point to promote a new round of technological change. Accurate identification of disruptive technology is of great significance to grasp the opportunities of technological change and then to lay out technological innovation strategies. Existing research focuses on the single-dimensional characteristics of technology or market, and the systematic identification method of the comprehensive "technology-market" dimension is still in the exploratory stage. Therefore, this paper started from the characteristics of disruptive technologies, constructed a systematic identification method based on patent mining and Gompertz model, and conducted empirical research and robustness testing. The research findings are as follows: (1) Disruptive technology has the dual dimension feature of the "technology market", which can be identified layer by layer in a "funnel" manner around four basic characteristics: cutting-edge, uniqueness, influence, and diffusion. (2) A systematic identification method for disruptive technologies was adopted based on patent mining and the Gompertz model, which can achieve systematic identification of disruptive technologies. (3) The empirical research on power lithium battery technology showed that the disruptive technology identification method constructed in this paper can improve the efficiency of the identification process and the accuracy of the identification results, effectively overcoming the limitations of subjective judgment. This method has made a breakthrough to the limitations of incomplete feature information acquisition and low accuracy of recognition results in existing recognition methods, aiming to provide more scientific method support for early recognition of disruptive technologies.  
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    Research on the impact of OFDI dynamic decision on the ambidextrous innovation leap of enterprises
    Xiao Deyun, Tan Yiyang, Wang Zongjun
    2024, 45(4): 73-82.  DOI: 10.19571/j.cnki.1000-2995.2024.04.008
    Abstract ( 148 )  
       Ambidextrous innovation leap is of significant importance in continuously stimulating enterprises′ innovation vitality and utilizing the role of enterprises as the main body of innovation. However, established studies have paid little attention to the influencing factors of ambidextrous innovation leap. Internationalization is one of the factors affecting innovation of enterprises. Therefore, this paper examined the impact of outward foreign direct investment (OFDI) dynamic decision on ambidextrous innovation leap from the perspectives of investment speed and breadth by using the data of China′s A-share listed companies from 2016 to 2021 and constructing an industry-time dual fixed effect model. The research results indicated that: (1) Accelerating the OFDI speed significantly promotes the leap from exploitative to exploratory innovation and inhibits the leap from exploratory to exploitative innovation. (2) The OFDI breadth weakens the promoting effect of accelerating OFDI speed on the leap from exploitative to exploratory innovation and the inhibiting effect on the leap from exploratory to exploitative innovation. (3) Heterogeneity testing found that accelerated OFDI by non-state-owned enterprises has a stronger promoting effect on the leap from exploitative to exploratory innovation and a weaker inhibiting effect on the leap from exploratory to exploitative innovation compared with state-owned enterprises. Compared with developing economies, accelerating OFDI to developed economies has a stronger promoting effect on the leap from exploitative to exploratory innovation and a weaker inhibiting effect on the leap from exploratory to exploitative innovation. The findings will expand the research perspective on the innovation effects of OFDI by enterprises and provide management and policy insights for the enterprise and the government to promote ambidextrous innovation leap.
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    Research on the evolution of regional military-civil S&T collaborative innovation ecosystem based on the multi-agent game
    Guo Tao, Luo Chengfei, Zhang Hongyu
    2024, 45(4): 83-92.  DOI: 10.19571/j.cnki.1000-2995.2024.04.009
    Abstract ( 168 )  
    Regional military-civilian S&T collaborative innovation is the key point and breakthrough to implement the military-civilian integration development strategy and innovation-driven development strategy at the regional level, and is also an important measure to improve the overall efficiency of the national innovation system and drive regional innovation development. However, there are still problems in the current regional military civilian technology collaborative innovation, such as diverse innovation entities and their interest demands, unclear cost sharing and benefit distribution mechanisms. The innovation management paradigm from the traditional perspective has been unable to meet the practical needs of regional military-civilian S&T collaborative innovation development, and it is urgent to introduce an innovation ecological perspective to solve the obstacles of regional military-civilian S&T collaborative innovation. Compared with previous innovation system theories, the innovation ecosystem theory uses stronger biological metaphors to carry out dynamic evolution analysis of the mechanism of action among various innovation agents, providing a more suitable analytical framework for solving the above problems. Therefore, introducing the theory of innovation ecosystem into the research of regional military-civilian S&T collaborative innovation and promoting the transition and evolution of the research paradigm of regional military-civilian S&T collaborative innovation from the conventional "innovation system" to "innovation ecosystem" is helpful to more deeply reveal the complex interaction between the main innovative subjects, elements and environment of military-civilian S&T collaborative innovation. Regional collaborative innovation ecosystem of military and civilian S&T is a complex network system of interaction, symbiosis, competition and dynamic evolution formed to realize the continuous emergence of military and civilian S&T innovation and integrate regional superior resources. In addition to the common characteristics of innovation ecosystem such as systematicness, symbiosis, diversity, dynamics and self-organization, it also has the unique characteristics of limited openness, cooperative target diversification, coexistence of state-led and market regulation. The formation and evolution of the regional military-civilian S&T collaborative innovation ecosystem is a process that gradually breaks the constraints of time and space, from low-level innovation to high-level innovation, from the inefficient construction stage to the advanced maturity stage. The dynamics of system evolution come from the interaction and feedback loop between the innovation population, the innovation population and the external innovation environment. In the process of evolution, the innovative populations in the system maintain a symbiotic relationship of competition and cooperation. In other words, under the action of internal and external driving forces, repeated games will be played within and between innovative populations, and the game results will ultimately affect the evolution direction of the system. Based on above research, this paper introduced the perspective of innovation ecosystem into the study of military-civilian S&T collaborative innovation, and analyzed the characteristics and evolution mechanism of regional military-civilian S&T collaborative innovation ecosystem. An evolutionary game model with military enterprise, private enterprise and local government as the key innovation subjects was constructed. Taking Heilongjiang Province as an example, the effects of benefit distribution, cost sharing and policy subsidies on the behavior of key innovation entities and system evolution were analyzed with numerical simulation. The results showed that: (1) In the case of reasonable cost sharing, even if the local government does not intervene in the military-civilian collaborative innovation, military and private enterprises will still choose to continue to cooperate in the collaborative innovation of S&T. The cost sharing coefficient has no significant influence on the strategy evolution direction of local governments. With the evolution and development of the system, local governments will eventually choose not to intervene in military-civilian collaborative innovation. (2) The fair distribution of benefits is conducive to promoting continued collaboration between military and private enterprises. In the case of unbalanced benefit distribution, the party with less benefit tends to choose the exit strategy, and the system evolution tends to disintegrate. When the distribution of benefits is extremely unbalanced, the government tends to take intervention strategies to maintain the stability of the system. (3) Whether or not local governments provide financial subsidies and how strong or weak the subsidies are will not have a fundamental impact on the evolution direction of the collaborative strategy between military and private enterprises. The sensitivity of private enterprises to financial subsidies is stronger than that of military enterprises, and appropriate financial subsidies are conducive to promoting the positive evolution of the system.
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    Ecological innovation of the scenario-empowered business model for the logistics delivery of home-based heavy cargo
    Wang Fu, Zhao Anran, Liu Junhua, Chang Qing, Han Liping, Cui Ying
    2024, 45(4): 93-100.  DOI: 10.19571/j.cnki.1000-2995.2024.04.010
    Abstract ( 97 )  
     In recent years, the scenario-empowered ecological innovation of the business model for the logistics delivery of home-based heavy cargo has received high attention from both academia and industry. Using a combination of exploratory single case study and procedural grounded analysis, this paper took Ririshun Logistics as an example to explore and refine the mechanism and path of scenario-empowered ecological innovation of the business model for logistics delivery of home-based heavy cargo. The results of this study indicated: (1) Logistics delivery of home-based heavy cargo is based on the evolution of three types of delivery expectations, namely "product functions-service utility-scenario experiences", and empowers the ecological innovation of the business model depend on the logic of "product functionalization", "service utility", and "scenario experience". (2) The delivery of home-based heavy cargo is based on the supply chain, guided by the value chain, and channeled through the scenario chain. According to the 3-chains matched delivery of "scenario chain-value chain-supply chain", they are empowered by the ecological innovations of the business models. (3) Logistics delivery of home-based heavy cargo through the creation of "expectation chain-willingness chain-scenario chain", relying on the change of logic of "due to goods-due to people-due to scenarios", and utilizing the selective configuration of "delivery scenarios-delivery expectations-delivery context" to empower the ecological innovations of business models. (4) The essence of ecological innovation on the business model for the logistics delivery of home-based heavy cargo lies in the evolution of user delivery expectations, utilizing the U2D and C2M modes for reverse supply chain reconstruction, and realizing the utility of delivery in terms of "the right time-the right place-the right user-the right feeling". This article not only reveals the connotation of the scenaro-empowered ecologica innovation of the business model for the logstics deliyery of home-based heavy cargo, but also provides new ideas for further research.
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    Research on the influence of construction of pilot free trade zones on the innovation of Chinese enterprises
    Tian Chengshi, Xiang Ruibing, Zhang Yanchao
    2024, 45(4): 101-110.  DOI: 10.19571/j.cnki.1000-2995.2024.04.011
    Abstract ( 232 )  
    As the bridgehead of China's new round of institutional innovation and the policy change of the development zone under the characteristic mode of "learning by doing" by the government, the construction of the pilot free trade zone has become an important starting point to achieve the goal of high-quality economic development in China. This paper takes the establishment of the pilot Free trade zone as a "quasi-natural experiment" and uses the difference method to investigate the influence of the construction of the pilot free trade zone on the innovation activities of enterprises. The research finds that: Establishment of free trade area for the promotion of enterprise innovation can have a significant and steady, but there is a certain gap between specific policy effect and experience cognition, free trade area construction of large and medium-sized cities and small and medium-sized enterprises, state-owned enterprises, enterprise innovation promoting effect compared with smaller cities are more significant, large-scale enterprises and private owned enterprise, Inland and the third batch of pilot Free trade zones have a stronger incentive effect on enterprise innovation than coastal and the first and second batch of pilot Free trade zones. From the perspective of mechanism, although the construction of pilot free trade zones helps to promote enterprise agglomeration, improve the level of tax incentives, and reduce institutional transaction costs to a certain extent, it mainly promotes enterprise innovation through tax incentives in "policy rent". In addition, the pilot Free trade zone mainly affects the innovation of enterprises in the region, and there is no significant innovation spillover effect on enterprises in neighboring cities. The conclusions of this paper not only enrich the literature on the promotion of enterprise innovation by development zone policies, but also provide important theoretical basis and policy enlightenment for how to construct pilot free trade zones according to local conditions and better play their innovation incentive effect
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    Research on the impact of construction of pilot free trade zones on corporate R&D investment: An analysis based on the moderating effect of marketability process
    Jiao Yongxiang, Yang Hong′en, Wang Ya, Yu Hailin
    2024, 45(4): 111-120.  DOI: 10.19571/j.cnki.1000-2995.2024.04.012
    Abstract ( 127 )  
       In the context of technology blockade in developed countries and the urgent need to change the momentum of domestic economic growth, China needs to increase R&D investment to speed up the transformation of innovation achievements into real productive forces. Therefore, how to increase corporate R&D investment through free trade zone (FTZ) construction and marketability process promotion is of great practical significance for China to implement the innovation-driven strategy and realize the self-reliance of science and technology. Based on mathematical models and typical facts, this paper first deduced the theoretical relationship between FTZ construction, marketability process and corporate R&D investment, then used the data from 2012 to 2020 at the regional and listed company levels, and made an empirical analysis through the time-varying difference-in-differences (DID) model, the modulating effect test model and the mechanism test model. It was found that FTZ construction can significantly promote corporate R&D investment, not only in the cities, but also in the provincial-level regions, and it has policy replication effect. Marketability process has significantly enhanced the promotion effect of FTZ construction on corporate R&D investment, and the two have synergistic R&D effect. However, there is significant heterogeneity in the modulating effect of the sub-indicators of marketability process. The coordinated promotion of FTZ construction and the marketability process can significantly reduce regional capital mismatch and enhance corporate outward internationalization, but cannot reduce regional labor mismatch. The conclusion of this paper is conducive to further improving corporate R&D investment effect in the FTZ from the perspective of marketability process, and it will also provide certain policy enlightenment for building the FTZ into a high-quality development demonstration zone in China.
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    Research on the mechanisms of variability in academic entrepreneurial models from the perspective of role reconstruction
    Li Dahai, Sun Wenhui, Yu Huijuan, Shan Jingzhu, Sun Yang
    2024, 45(4): 121-129.  DOI: 10.19571/j.cnki.1000-2995.2024.04.013
    Abstract ( 98 )  
        Academic entrepreneurship encompasses various types and serves as a significant mechanism for driving the transformation of scientific and technological achievements. Investigating the origins, interrelations, and transformation mechanisms of academic entrepreneurship holds vital theoretical and policy implications. This study employed a case study approach and drew upon such theories as role identification, attention-based view, and resource orchestration to explain the reasons for the diversity in academic entrepreneurship from three aspects: attention allocation structure, resource allocation methods and behavior. From a dynamic process perspective, it investigated the relationship between role reconstruction and academic entrepreneurial behavior. The results revealed that different types of academic entrepreneurship can be defined by three-dimensional characteristics, namely, the role identity of academic entrepreneurs, their attention focus, and resource allocation methods. The self-identity of academic entrepreneurs stands as the fundamental determinant of their academic entrepreneurial behavior. Academic entrepreneurship is a dynamic process, and academic entrepreneurs drive role reconstruction while engaging with and understanding the market, ultimately selecting an appropriate academic entrepreneurial approach. In the process of role reconstruction, value orientations and the transformation of resource allocation patterns lead to shifts in the specific modes of academic entrepreneurship. This study innovatively constructed an analysis model to explain the reasons for the diversity of academic entrepreneurship models and the internal correlation of various models, described the timing characteristics and driving mechanism of the transformation of academic entrepreneurship models, deepened the understanding of the development law of academic entrepreneurship, thus having some reference values for further optimizing the policy environment of academic entrepreneurship.
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    Research on bilateral matching of "star-ups and incubators" and its impact on enterprise innovation investment
    Zhang Shuhui, Wu Xueqin
    2024, 45(4): 130-137.  DOI: 10.19571/j.cnki.1000-2995.2024.04.014
    Abstract ( 119 )  
         Incubators represent an essential policy instrument pivotal in catalyzing innovation within entrepreneurial ventures. Exploration of the symbiotic relationship between incubators and entrepreneurial entities holds substantial significance in augmenting the developmental effectiveness of these enterprises, thereby fostering a robust ecosystem conducive to innovation and entrepreneurship. This study, centering on incubators and their resident enterprises, delved into the dynamics of their mutual selection and matching processes grounded in the principles of bilateral matching theory. Furthermore, it conducted empirical examinations to ascertain the influence of these matching paradigms on the innovation investment strategies of the enterprises involved.The study presented herein discovered that: (1) The actual connections formed between incubators and entrepreneurial ventures closely comply with a two-sided matching process, wherein factors like company size, growth prospects, entrepreneurial background, team composition, and the attributes and prowess of the incubator play a vital role in establishing a stable alliance; (2) A robust alignment between startups and incubators markedly fosters innovation investment; and (3) Financial limitations serve as an intermediary influence linking the suitability of the startup-incubator pairing and the enterprises′ innovation investments. These outcomes suggest that a consistent partnership between incubators and entrepreneurial entities aids in matching the incubation market′s resource supply with demand and in forming trust-based relationships. This harmony eases financial hurdles for companies, thereby facilitating increased investment in innovation. This paper will offer novel viewpoints and strategic suggestions for the optimal distribution of resources within the entrepreneurial incubation arena to enhance innovation financing.
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    Research on the influence path of VAT credit refund on digital transformation of enterprises
    Zhang Renjie
    2024, 45(4): 138-146.  DOI: 10.19571/j.cnki.1000-2995.2024.04.015
    Abstract ( 219 )  
        The digital transformation of enterprises is the micro-foundation for the development of digital economy, and it is also the necessary way to build digital China. How to play the incentive effect of fiscal and taxation tools to promote the digital transformation of enterprises is particularly urgent. Based on the data of China′s A-share listed companies from 2014 to 2020, we constructed a difference-in-differences (DID) model to investigate the impact and path of the 2018 VAT credit refunds policy on enterprise digital transformation. The study found that (1) the VAT credit refund can significantly promote the digital transformation of enterprises, and its effect is more obvious for enterprises at the growth stage, traditional industries and regions with good network infrastructure. (2) The mechanism test showed that capital, technology and talent are the three channels of influence, and the VAT credit refund strengthens the digital transformation of enterprises by easing financing constraints, increasing R&D investment and promoting human capital upgrading. (3) The economic consequences test found that digital transformation helps constrain firms′ strategic behavior, and significantly inhibits tax avoidance activities. This paper will provide empirical clues on the path and logic of tax instruments to incentivize enterprises′ digital transformation, which will intuitively inspire for further increasing tax cuts and improving targeted tax incentives.
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    Impact of financial and innovation goals on the distance of corporate venture capital investment
    Xie Yundian, Dong Jing
    2024, 45(4): 147-156.  DOI: 10.19571/j.cnki.1000-2995.2024.04.016
    Abstract ( 107 )  
        Firms are, in reality, often complex decision-making systems with multiple goals, while existing theoretical discussions mostly focus on their responses to a single goal. This paper took corporate venture capital (CVC) as a research context to examine how corporate investors′ negative attainment discrepancies on both financial and innovation goals jointly affect the geographic distance of CVC investments. Using A-share listed firms that have made CVC investments from 2008 to 2018 as a sample, this paper made an empirical study and the results showed that firms′ unrealized financial goals drive distant CVC investments, while unrealized innovation goals inhibit distant investments. When there are negative attainment discrepancies on both goals, the impact on CVC investments′ geographic distance depends on firms′ organizational slack and the industry growth potential (environmental munificence). For firms with more organizational slack or higher environmental munificence, unrealized financial goals will intensify the negative relationship between negative attainment discrepancies on the innovation goals and CVC investments′ geographic distance. On the contrary, when firms have less organizational slack or operate in less munificent industries, unrealized financial goals will weaken the negative relationship between negative attainment discrepancies on innovation goals and geographic distance. This paper theoretically expanded firms′ decision-making under dual goals and will provide new insights into the geographical strategy of CVC investments in different performance feedback conditions.
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    Nonlinear influence of environmental regulation on heterogeneous green technology innovation
    Zheng Bingyun, Xu Manlin, Li Sui
    2024, 45(4): 157-165.  DOI: 10.19571/j.cnki.1000-2995.2024.04.017
    Abstract ( 162 )  
       Environmental regulation and green technology innovation are important factors to achieve high-quality economic development. The influence relationship of the two factors is a hot issue in academic circles. The existing literature focuses on the impact of environmental regulation on the overall green technology innovation. This paper further subdivided the overall green technology innovation, constructed a mathematical model, deduced the impact mechanism of environmental regulation on heterogeneous green technology innovation, and employed the panel data collected from 30 provincial-level regions in China from 2010 to 2019 to establish static and dynamic panel regression models for empirical testing. The empirical research drew several conclusions. Firstly, with the improvement of environmental regulations, the trend of overall green technology innovation and clean production technology innovation decrease first and then increase, indicating a U-shaped relationship between the both types of technology innovation and environmental regulations. Secondly, the level of environmental regulation has a positive impact on pollution control technology innovation. Thirdly, in terms of controlling variables, enterprise size promotes overall green technology innovation; the ownership structure promotes clean production technology innovation, but it is not conducive to pollution control technology innovation; the degree of trade openness has a promoting effect on the innovation of pollution control technology; the effect of R&D on different types of green technology innovation varies. Based on the research findings, some policy recommendations are proposed to promote green technology innovation in terms of environmental regulatory intensity, environmental regulatory measures, enterprise scale and trade openness.
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    Quantity or quality: The impact of environmental information disclosure on green innovation
    Liu Yi, Yin Yunlong, Yang Xu
    2024, 45(4): 166-174.  DOI: 10.19571/j.cnki.1000-2995.2024.04.018
    Abstract ( 224 )  
        Green innovation is the key to achieving the win-win goal of fostering economic development and reducing environmental pollution. This paper innovatively took the "green innovation quantity" and "green innovation quality" as different representations of the green innovation. On this basis, we took China′s Shanghai and Shenzhen A-share heavy polluting listed companies as a sample, and studied the impact of environmental information disclosure on firms′ green innovation by using the mediating effect model and moderating effect model. The results showed that: (1) Environmental information disclosure forces the listed companies to increase the number of green innovations, but reduces the quality of green innovation. This conclusion is still valid after a series of robustness tests. (2) Environmental information disclosure exacerbates short-termism, which crowds out high-quality green innovations. (3) Improving the management ability and increasing the shareholding ratio of long-term institutional investors can correct the green innovation formalism of enterprises. Our results will not only contribute to a more comprehensive understanding of the logical relationship between environmental information disclosure and green innovation, but also provide practical evidence for further optimization of environmental governance and promotion of enterprises′ core competitive capability.
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    Influence of personalized recommendation of short-videos on users′ information adoption intention
    Zhang Shengtai, Yang Yang, Yuan Yiwei, Yang Hongjun, Zhang Mengtao
    2024, 45(4): 175-184.  DOI: 10.19571/j.cnki.1000-2995.2024.04.019
    Abstract ( 327 )  
        "Five minutes on TikTok, one hour on earth"! In recent years, the academia has focused a lot of attention on short-video social networks, which have become one of the most important sources of information and daily entertainment for users. Few academics, however, have examined in-depth how TikTok and other short-video viewers perceive and understand the platform technology and how this influences the users′ psychological requirements and behavioral patterns. When using the TikTok platform, users′ information behavior is primarily that of information adoption. However, there is currently relatively little research on how likely users are to adopt the information on platforms for short-videos, like TikTok. It is unclear whether the distinctive features of short-video sites like TikTok will have a different effect. Second, one of the key features of short-video platforms like TikTok is in the form of personalized recommendation. According to some academics, users will be less ready to adopt information if perceived customization is too strong. On the platforms for short-videos like TikTok, nevertheless, this conclusion has not been tested. It has not been investigated whether perceived personalization will affect users′ psychological resistance or negative psychology. Finally, there are still some conflicts and contradictions in the current research on the impact of information narrowing, and it is necessary to further verify the impact of information narrowing. The impact of perceived personalization and information narrowing for short-videos, such as TikTok, has also not been established. To seek reasonable solutions to these issues, this study empirically examined the information adoption intention of users of short-video platforms by using TikTok as an illustration, and using the Stimulus-Organism-Response (S-O-R) model.In this study, the primary data collection method used is questionnaire surveys. The measurement of relevant variables mainly adopted the currently available relevant scales, and the Likert five-level scale was used as the measurement tool. A total of 480 questionnaires were collected, and 435 valid questionnaires were obtained after eliminating some invalid ones. Our hypotheses were essentially confirmed by analyzing the data obtained from the questionnaires. First, the findings demonstrated that perceived personalization benefits information narrowing. Contrary to other studies, this one discovered that perceived personalization lowers the psychological resistance among users and raises their intention to adopt new information. Users′ perceived personalization and information adoption intention do not interact nonlinearly. In contrast to earlier studies, it was also found that information narrowing also lowers users′ psychological resistance and raises their intention to adopt new information. The impacts of perceived personalization and information narrowing on information adoption intention are partially mediated by psychological resistance.By introducing a new research setting, new research variables, and new research model, this study broadened the study of information adoption intention. The findings of the study showed that it is not viable to completely depend on earlier research when examining users′ perceptions of personalization on short-video platforms like TikTok and that further research is necessary. This study enriched the research field of perceptual personalization and provided some reference for other scholars to explore the perceptual personalization of users on short-video platforms such as TikTok. Besides, this study adopted the quantitative way to further verify the existence of information narrowing. As for the variable of information narrowing, this study′s findings differ from those of earlier studies, which offers a fresh theoretical foundation and new support for related research in this field. The findings of the study demonstrate that "Information Cocoons" is directly tied to user psychology as well as the algorithms used for short-video recommendations and other applications. The phenomena of "Bad money drives out good" in the communication sphere must therefore be avoided through the combined efforts of platform managers, news media and readers. In order to further strengthen recommendation algorithms and customer satisfaction, platform management should pay close attention to the findings of this study.
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    Research on the impact of conflicts among members of brand communities on their knowledge sharing willingness
    Zhang Yin, Zheng Haidong, Zhang Qianhui, Sun Xiaohui
    2024, 45(4): 185-192.  DOI: 10.19571/j.cnki.1000-2995.2024.04.020
    Abstract ( 132 )  
        Knowledge sharing among members of brand communities is the foundation for their survival, but the impact of negative interactions such as conflicts on knowledge sharing has yet to be studied. This research drew on the equity theory to construct a model of the impact mechanism of cognitive and emotional conflicts on their willingness to share knowledge among brand community members, and tested the aforementioned model through a series of experiments. The research found that: (1) Cognitive and emotional conflicts both negatively affect the members′ willingness to share knowledge, and the perception of interactional justice among community members completely mediates the above relationships; (2) Community members agree on the negative regulation of the relationship between community conflicts and the perception of interactional justice; (3) Compared with no brand response, brand response can more effectively reduce the impact of interactional justice perception on the willingness to share knowledge, but there is no difference in the strength of the moderating effects of different response methods. This study has enriched and developed the research on the antecedents of knowledge sharing in virtual communities, online conflict and conflict management, while providing practical implications for the management of brand communities.
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