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    20 May 2024, Volume 45 Issue 5 Previous Issue    Next Issue

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    Development trends, current dilemmas, comparative gaps and countermeasures for China′s innovation capacity
    Du Mei, Ren Shengce, Cao Yougen
    2024, 45(5): 1-10.  DOI: 10.19571/j.cnki.1000-2995.2024.05.001
    Abstract ( 391 )  
        The Global Innovation Index (GII) report, as an evaluation index with a wide range of innovation areas, not only provides an overview of global innovation capacity trends, but also fully reflects the strengths and weaknesses of China′s innovation capacities. By combing the GII 2011-2022 innovation capacity data, this paper analyzed the trends of global innovation capacity and China′s innovation capacities in the current situation, realistic difficult position, and comparative gaps. The results showed that: (1) the development of global innovation capacity is characterized by leading by the European regions, running in parallel with the North American regions, and following by the East Asian, Southeast Asian and Oceania regions. (2) China′s comprehensive innovation capacities are on a positive trend, but there are some problems in the main pillars of innovation inputs and outputs, such as the institutions are still lacking, human capital and research, the infrastructure need to be strengthened, and the creative outputs are still insufficient. Furthermore, in terms of sub-criteria, China′s innovation capacities have a significant advantage in the indicators of scale and quantity due to its population size, latecomer advantage and national system, but there is still room for improvement in the ecology, education, market and business operation models, and creativity. (3) There are gaps between China′s innovation capacities and those of others in institutions, human capital and research, and market sophistication, but not in knowledge and technology outputs and creativity outputs. The conclusion has enriched the related research on China′s innovation capacity evaluation and comparative gaps, and will provide countermeasures for government to improve China′s innovation capacity. 
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    An industrial change driven by digital technology: A research review and prospect
    Xie Weihong, Zheng Diwen, Li Zhongshun, Wang Yongjian Wang Ligang
    2024, 45(5): 11-21.  DOI: 10.19571/j.cnki.1000-2995.2024.05.002
    Abstract ( 542 )  
        As digital technology rapidly advances, its role in driving industrial transformation and innovation has become increasingly critical. Although existing literature has explored this area, there is still significant room for deep analysis and construction of theoretical frameworks. In response to this, this study employed a systematic literature review method to statistically analyze 103 pieces of literature on the theme of digital technology-driven industrial transformation published between 2001 and 2022 in UTD24 and FT50 journals. Building upon the conceptual delineation of digital technology-driven industrial transformation, this study constructed a comprehensive knowledge analysis framework that includes four categories: industrial digitalization application, industrial digitalization expansion, industrial digital transformation, and industrial digital change. Furthermore, based on the ABC (Antecedents-Behaviors-Consequences) analysis framework, it synthesized a thematic framework for digital technology-driven industrial transformation research, centered around influencing factors, operational processes, and impact effects. The study also proposed future research directions in three primary areas: exploration of micro-mechanisms, assessment of policy effects, and impacts on the social environment. The research results will not only provide a complete and systematic theoretical framework for scholars in this field, facilitating deeper academic exploration, but also will offer valuable theoretical guidance for the formulation of industrial policies and management practices.
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    Research on the mechanism of technological innovation systematization capability assisting breakthroughs of key core technologies
    Sun Zhongyuan, Dou Qian, Lou Xuming, Cheng Long
    2024, 45(5): 22-33.  DOI: 10.19571/j.cnki.1000-2995.2024.05.003
    Abstract ( 237 )  
        Technological innovation systematization capability is a strategic direction for construction of a technologically strong country, and it plays a crucial role in the breakthroughs of key core technologies by innovation entities under the new situation. If key core technologies are not firmly grasped, they will inevitably pose a certain threat to national industrial chain security issues. Existing research has pointed out that breakthroughs of key core technologies mainly rely on the effective improvement of the technological innovation systematization capability of the innovation entities. However, the mechanism by which the technological innovation systematization capability assists innovation entities in achieving breakthroughs of key core technologies is still unclear. Therefore, exploring the relationship between technological innovation systematization capability and key core technology breakthroughs from the perspective of innovation entities network will help to open the black box of the internal mechanism between them. This exploration has important theoretical and practical significance for China′s innovation entities to overcome the "bottleneck" problem of key core technologies.The research classifies technological innovation systematization capability into organizational systematization capability and technological systematization capability. Organizational systematization capability includes local collaboration capability and overall collaboration capability, and technological systematization capability includes knowledge sharing capability and knowledge combination capability. From the perspective of innovation entities network, technological innovation systematization capability can help innovative entities achieve breakthroughs in key core technologies from two aspects: organizational systematization capability and technological systematization capability. From the perspective of innovation entities network, this study proposed a hypothesis to explore the relationship between technological innovation systematization capability and key core technology breakthroughs, aiming to investigate the influence mechanism of organizational systematization capability and technological systematization capability on key core technology breakthroughs.This study selected the universities/research institutes and enterprises engaged in the AI industry research as research objects, and obtained 15429 patents applied by the above innovation entities for joint inventions in the field of AI in 2010-2019 from the patent retrieval database of the China National Intellectual Property Administration. Gephi software was employed to preprocess the data by constructing cooperative networks and knowledge networks. Additionally, a negative binomial regression model was selected for hypothesis testing based on the characteristics of the data.The specific conclusions are as follows: Firstly, both local and overall collaborative capabilities in organizational systematization capability can effectively enhance key core technology breakthroughs, indicating that the direct and indirect linkage relationships in cooperation networks have a significant impact on key core technology breakthroughs. Secondly, the organizational knowledge sharing capability and knowledge combination capability in the technological systematization capability can effectively enhance key core technology breakthroughs, indicating the important role of knowledge exchange and knowledge combination in the innovation entities′ knowledge network in key core technology breakthroughs. Thirdly, knowledge sharing capability and knowledge combination capability play a chain mediating role in the relationship between organizational systematization capability and key core technology breakthrough, indicating that the impact of organizational systematization capability and technological systematization capability in the innovation subjects′ technological innovation systematization contribute to the inherent logic of key core technology breakthroughs.Compared to existing research, the possible unique contribution of our paper includes two aspects. On the one hand, existing research quantitatively discussed the relationship between technological innovation systematization capability and key core technology breakthroughs. Our paper quantitatively verified the internal impact mechanism between technological innovation systematization capability and key core technology breakthroughs using the patent data from the AI Industry. This will provide new evidence supporting innovative entities in achieving breakthroughs of key core technologies by fostering technological innovation systematization capability. On the other hand, compared to the current research on the relationship between technological innovation systematization capability and key core technology breakthrough, in our paper, we constructed a research framework from the perspective of the innovation entities network, which express as "local collaboration ability/overall collaboration ability - knowledge sharing ability - knowledge combination ability - key core technology breakthrough". The framework enabled a comprehensive analysis of the internal mechanism between technological innovation systematization capability and key core technology breakthrough. This will offer new insights into implementation mechanisms of key core technology breakthroughs.
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    Research on the organizational inertia construction mechanism of the enterprises with digital transformation under digital technology affordance actualization
    Wu Xianyun, Su Jingqin, Yang Daohong, Zhang Yajie
    2024, 45(5): 34-42.  DOI: 10.19571/j.cnki.1000-2995.2024.05.004
    Abstract ( 203 )  
        The emergence of digital technology presents an opportunity for traditional enterprises to overcome organizational inertia during digital transformation. Based on the theory of digital technology affordance actualization, this paper launched a case study on the digital transformation process of Midea to analyze the mechanism of digital technology affordance on the construction of organizational inertia. It was found that in the process of digital transformation (1) “Digital Technology Affordance-Resource Integration-Organizational Inertia Construction” is an effective path for traditional enterprises to construction of organizational inertia. Among them, different types of organizational inertia have different digital technology affordance and resource integration strategies. Under the meaning-making affordance, traditional enterprises construct data decision-making cognitive inertia through diffusion-exploitation resource integration. Under the architecture replacement affordance, traditional enterprises construct agile organizational structure inertia through diffusion-exploration resource integration. (2) Digital technology affordance is the power source of organizational inertia construction, which pulls traditional enterprises to construct new organizational inertia, including meaning-making affordance and architecture replacement affordance. (3) Resource integration is the process of the digital technology affordance actualizing, and traditional enterprises construct new organizational inertia through the shaping mechanism of resource integration. Under the driving of digital technology meaning-making affordance, enterprises build data decision-making cognitive inertia through the analogical shaping mechanism of resource integration; under the drive of architectural replacement affordance, enterprises construct agile organizational structure inertia through the inheritance shaping mechanism of resource integration. The study will not only extend the theoretical research on the construction of organizational inertia in the context of digital transformation, but also provide more theoretical guidance and management enlightenment for the digital transformation of traditional enterprises in China.
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    Innovation of design thinking: Its development, process mechanism and practice rules
    Tao Jinyuan, Chen Jin
    2024, 45(5): 43-55.  DOI: 10.19571/j.cnki.1000-2995.2024.05.005
    Abstract ( 169 )  
         The key to cultivating an organization′s core competitiveness lies in the adept resolution of intricate problems and the pursuit of innovative solutions, which demands a foundation built upon a scientific and standardized methodology.The innovation of design thinking, offers a dynamic approach to problem-solving, but its decentralized application can lead to fragmentation and empiricism. It is significant to systematically explore the development of design thinking, consolidate its philosophical underpinnings, and provide a comprehensive elucidation of its theoretical framework, process mechanisms and practical principles.This paper employed literature visualization, comparative analysis to delineate the trajectory, focal points, and research network concerning design thinking theory, constructed an analytical framework rooted in the connotation structure of dialectical materialism methodology and its logic of causality process.Through this framework, the paper systematically dissected the core elements and process mechanisms to the innovation of design thinking. The research findings are: (1) Innovation of design thinking is dedicated to addressing intricate problems and evolves continuously in response to practical needs. (2)Innovation of design thinking adheres to the value orientation of humanism and the effectuation logic of pragmatism. (3) Innovation of design thinking advocates for the systematic integration of the nonlinear iterative mechanism, comprehensive practical tools, and interdisciplinary fields. (4) Practical principles, applicable to the overall innovation process and each thematic step, play a crucial role in ensuring the efficiency of innovation. The study has furnished organizations with a systematic theoretical foundation and equipped them with ample tools to foster problem-oriented innovation, and then enhanced overall innovation performance and cultivated core competitiveness. Simultaneously, the conclusions offer valuable insights for advancing the development of Chinese innovation theory. It serves as a guide for accelerating China′s innovation development strategy, leveraging the strengths inherent in the Chinese political system. 
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    A study of the science-based start-ups having traversed the "Valley of Death"
    Wang Haiyan, Li Na, Zhang Qingzhi
    2024, 45(5): 56-64.  DOI: 10.19571/j.cnki.1000-2995.2024.05.006
    Abstract ( 163 )  
    In recent years, science-based start-ups have emerged in the fields such as biopharmaceuticals, nanotechnology, and new materials, benefiting from the convergence of scientific knowledge. These science-based start-ups play a pivotal role in translating fundamental scientific theories into practical applications, resulting in a consistent growth in their quantity and an escalating impact on the landscape of innovation. Nevertheless, due to their dependence on emerging scientific knowledge, many of these firms encounter the daunting "Valley of Death" as they traverse the gap between foundational scientific theories and product development. The process of science-based start-ups having traversed this "Valley of Death" is a complex systemic endeavor, where a single condition is insufficient to guarantee success. Moreover, interactions among critical conditions may exist, rendering previous reliance on quantitative models inadequate for accurately identifying their pathways to survival. To inform the formulation of informed science development policies, mitigate developmental risks, and facilitate the transition of these firms across the "Valley of Death," a diversified and holistic perspective is needed to assess their trajectories. Therefore, this study employed the fsQCA method to conduct a configurational analysis of 44 science-based start-ups in the United Kingdom.Based on a comprehensive literature review, we constructed an integrative analytical framework aimed at driving science-based start-ups to successfully traverse the "Valley of Death." Subsequently, a sample source of firms in the British biomedicine sector was selected, and a case information database for science-based start-ups was compiled using the data provided by REF 2014. Finally, the fsQCA method was applied to analyze the pathways taken by the science-based start-ups to traverse the "Valley of Death." The study revealed that the transition of science-based start-ups across the "Valley of Death" is the outcome of the complex interplay of multiple conditional variables. Three distinct patterns of drivers for enterprise survival emerge, characterized as being technology capability-driven, university-driven and funding-driven, with technology capability playing a central role, and funding-driving being the most prevalent pattern.From this study, we can draw the following conclusions. Firstly, technical capability directly impacts the survival and development of science-based start-ups, serving as the core competitive advantage of these firms. Secondly, the findings underscore the critical roles played by external funding and university collaborations in the early stages of development for science-based start-ups. Extensive financing provides the necessary financial resources to support research and development activities while also helping to mitigate the risks associated with commercializing novel technologies. Universities not only offer ample cutting-edge knowledge to these firms but also create an environment conducive to their survival.Thirdly, effective management practices are identified as a key factor in achieving business success. Strategic planning aids science-based start-ups in identifying market opportunities and pursuing them, while boards with complementary skills facilitate the acquisition of the correct skills and expertise necessary to support their growth. Finally, the study further emphasized the importance of increased financial support from the public sector for science-based start-ups. Policymakers can provide fiscal incentives and regulatory backing to encourage venture capital investment in science-based early-stage firms. This research has broadened the applicability of related theories, offering valuable insights for science-based start-ups seeking to traverse the "Valley of Death".
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    Research on the innovation of corporate digital responsibilities under the metaverse mobile internet
    Liu Haijian, Li Jichen, Li Ying, Lyu Qingxuan
    2024, 45(5): 65-74.  DOI: 10.19571/j.cnki.1000-2995.2024.05.007
    Abstract ( 282 )  
        With the deepening integration of digital technology, the boundaries of multi-stakeholder responsibilities and content have undergone significant changes in the Web 3.0 metaverse mobile internet. However, current research on corporate social responsibility in the context of the metaverse faces urgent issues such as conceptual ambiguity, unclear boundaries, and a lack of integration in frameworks. Therefore, it is worthwhile for them further exploring systematically the content of corporate social responsibility under the context of Web 3.0. Standardizing the governance of corporate digital responsibility, and achieving multi-agent collaborative value creation are also significant. Taking the perspective of corporate digital responsibility, with AI companies as the research object, this study, based on a literature review, summarized the characteristics of the metaverse and corporate digital responsibility, and at the same time defined the digital responsibility and digital governance of AI companies in the context of the metaverse by constructing a research framework for corporate digital responsibility and its digital governance separately. It was found that: (1) Corporate digital responsibility is embodied in the normalization of data values and technological innovation in the metaverse ecosystem. The resulting changes have generated in corporate digital responsibility management subjects, performance carriers and digital supervision. (2) The purpose of corporate digital responsibility governance is to achieve a digital responsibility governance ecosystem with multi-stakeholder interaction. It is mainly achieved through three paths: strengthening individual governance of technology developers, linking the governance of "virtual digital humans" and "perceptual intelligent humans", and governing the digital business community. The conclusions will enrich the literature of corporate digital responsibility in the context of Web 3.0, and it will also provide reference for standardizing corporate digital responsibility practices. 
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    Distance effect, organizational learning order and innovation ability: A longitudinal case study of Haier Group
    Wu Huabin, Yang Lei, Jiang Chunyan
    2024, 45(5): 75-84.  DOI: 10.19571/j.cnki.1000-2995.2024.05.008
    Abstract ( 142 )  
         Chinese enterprises are facing direct competition with global leaders in both domestic and international markets. While some representative enterprises have successfully caught up, a common challenge remains: weak innovation capability. Relying on methods such as introduction, imitation, and reverse engineering can lead to the pitfalls of technological catch-up. Enhancing innovation capability can provide sustainable competitive advantages to enterprises. However, the fundamental question of how the distance effect influences innovation ability remains inadequately addressed, and contradictory viewpoints exist within the academic community regarding its impact on innovation enhancement. This paradox can be attributed to the misconception of organizational search as a static process when, in reality, it represents a dynamic process of organizational learning. By examining how the distance effect influences enterprise innovation capability through the lens of organizational learning theory, we can illuminate the intricate relationship between the distance effect and innovation capability. This, in turn, will enable us to offer insights for resolving the aforementioned paradox.In 2012, Bingham & Davis introduced the concept of "organizational learning order", an extension of organizational learning theory. This concept marks a transition from the conventional linear learning process to an interactive discourse on various learning processes, with potential mutual influences among them. Consequently, the organizational learning order perspective is well suited for investigating how enterprises coordinate diverse learning modes in response to the distance effect. It also sheds light on their ability to assimilate external knowledge and engage in iterative learning processes, ultimately enhancing the mechanism of enterprise innovation capability. From the organizational learning sequence perspective, we conducted a longitudinal comparative study to analyze the specific organizational learning sequences employed by enterprises within Haier Group operating in the refrigerator and washing machine industries. This analysis aimed to enhance the innovation capability of these enterprises under the influence of the distance effect.This study revealed that each developmental stage manifests a distinct organizational learning order. Firstly, the study′s results indicated that each developmental stage presents distinct organizational learning orders. During various development stages, Haier refrigerators and Haier washing machines followed diverse organizational learning orders. The iterative application of six organizational learning orders (namely, learning from learning-learning from learning, learning from learning-experiential learning, learning from experience-learning, learning from experience-learning, learning from experience-learning, learning from experience-learning, learning from experience-learning, learning from experience-learning) significantly contributed to the improvement of their innovation capabilities.Secondly, the organizational learning order dynamically aligns with the impact of the distance effect. When firms expand across international borders, they initially engage in experiential learning, irrespective of the proximity of technological distances. The predominant organizational learning pattern when crossing national borders is characterized by a sequence of experiential learning followed by more experiential learning. Local explorations consistently commence with experiential learning, although the precise organizational learning order varies in accordance with technological distance. The choice of the initial learning mode is not fixed when expanding across regional boundaries, and interspersed organizational learning orders prevail. For instance, these orders may involve borrowed learning, experiential learning, borrowed learning, or experiential learning in various combinations.Thirdly, the types of organizational learning orders exert varying influences on the enhancement of innovation capabilities. A repeated order of learning from experience-learning from experience may lead to a cycle of "introducing-backward-introducing-backward", which has a limited effect on the enhancement of the innovation capability of enterprises. On the other hand, two types of organizational learning orders, namely, experience learning-learning from experience and learning from experience-learning from experience, are generally problem-oriented and have more obvious effects on the improvement of the innovation capability of enterprises in the short term. The three organizational learning order types of learning from experience, learning from experience, and learning from experience have significant long-term effects on the improvement of firms′ innovation capabilities.The findings of the study will, firstly, respond to the call for research on "focusing on the process of technological catching-up of latecomer firms", deepen the understanding of the catching-up mechanism of latecomer firms, and further enrich the research on latecomer firms beyond the stage of catching-up with a focus on the enhancement of innovation capability. Secondly, it will open the black box of the process of the distance effect on innovation capacity enhancement, introduce the organizational learning order into it, provide a new perspective for research on the impact of the distance effect on enterprise innovation capacity, and enhance the explanatory power of the organizational learning order in the process of enterprise innovation capacity enhancement. Finally, it will deepen the organizational learning theory by setting the research situation in the analysis process, pointing out that the distance effect affects the choice of organizational learning order, expanding the research on the scenario and antecedents of organizational learning order in the related literature, and enriching the related research on organizational learning order.
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    Scenescape-driven cross-regional innovation system: The key factors and future development
    Chen Congbo, Chen Juan, Hu Dengfeng
    2024, 45(5): 85-93.  DOI: 10.19571/j.cnki.1000-2995.2024.05.009
    Abstract ( 148 )  
       The importance of cross-regional innovation systems under a new nationwide system is obvious, but existing research is insufficient in discussing cross-regional innovations caused by digital technology progress. This paper studied the key factors and future research trends of scenario-driven cross-regional innovation systems. Based on the scenario theory, cross-regional innovation system is defined as the coupling system between regional subsystems formed by integrated innovation scenarios. The cross-regional innovators have constructed some fusion innovation scenarios in virtual space through digital technology, and the conceptual formula is “virtual space + imagination structure + fusion regional spirit → fusion innovation scenario”. It was found that cross-regional innovation systems can serve coordinated regional development, innovative development strategy and innovative governance of new nationwide system in China. It was also found that future research directions include cognitive renewal, construction path and governance logic under backgrounds of innovation scenario virtualization, innovation subject decentralization, and innovation governance. The research results have enriched and expanded the theory of regional innovation system, and will provide corresponding enlightenment in micro and regional policy making levels.
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    A study on the influential effect of digital technology on regional innovation performance from the perspective of innovation ecosystem
    Wang Jing, Chen Jing, Li Shuyan
    2024, 45(5): 94-104.  DOI: 10.19571/j.cnki.1000-2995.2024.05.010
    Abstract ( 228 )  
         The innovation ecosystem is an important support for accelerating the formation of a high-quality regional economic pattern, and the accelerated release of digital productivity has brought huge dividends to regional innovation. Based on the provincial panel data from 2013 to 2019, using the multiple mediation model, moderation model, threshold regression model, and spatial model, combined with the niche theory and synergy theory, this study explored the relationship between digital technology and regional innovation performance from the perspective of innovation ecosystem. The following conclusions are drawn from this study: (1) from the perspective of the innovation ecosystem, digital technology can significantly improve regional innovation performance, and has the greatest impact on the performance of the technology subsystem, followed by commercial and scientific subsystems; (2) in the path of digital technology affecting regional innovation performance, the niche suitability of each subsystem and the collaboration between subsystems not only have a parallel mediating effect, but also a chain mediating effect; (3) the niche breadth of technology and business subsystems can positively moderate the relationship between digital technology and regional innovation performance; and (4) the development of digital technology has strengthened the pattern of innovation polarization. Based on this, each region needs to attach importance to the linkage innovation between subsystems, and it is also necessary to establish a long-term innovation cooperation mechanism among regions in the digital context to enhance overall innovation from point to face. This paper has not only expanded the theoretical perspective of research on digital technology driven regional innovation, but also provided reference and inspiration for various regions to shape multidimensional ecological advantages through digital technology.
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    Research on  the impact of innovative industrial clusters on the total factor productivity of cities
    Liu Jun, Guo Lihong, Zhang Wukang
    2024, 45(5): 105-113.  DOI: 10.19571/j.cnki.1000-2995.2024.05.011
    Abstract ( 207 )  
         Innovative industrial clusters are important carriers of China′s innovation-driven development strategy and important policy tools to promote regional innovation. Based on the policy practice of "innovative industrial clusters", this paper used the panel data of 281 prefecture-level cities in China from 2010 to 2019, and used the progressive DID model to evaluate the impact, mechanism and regional heterogeneity of innovative industrial clusters on urban total factor productivity. The study found that innovative industrial clusters can significantly improve urban total factor productivity, and the conclusion is robust. The mechanism analysis showed that innovative industrial clusters can promote urban total factor productivity by promoting technological innovation, and technological innovation has a mediating effect in the impact path. The regional heterogeneity analysis showed that the policy effect of innovative industrial clusters is significant in central and eastern China. The research conclusion will have certain policy implications for further building innovative industrial clusters, guiding the rational allocation of innovative resources among regions, and promoting the optimization and upgrading of urban industrial structure.
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    Formation laws of the boundary-spanning technology innovation network of manufacturing enterprises:A study based on the dual meta & dual degree perspectives
    Wang Xueyuan, Huang Jiasai
    2024, 45(5): 114-124.  DOI: 10.19571/j.cnki.1000-2995.2024.05.012
    Abstract ( 185 )  
        In view of the low degree of technology correlation and lack of effective innovation cooperation among enterprises in China, the 20thNational Congress of China clearly put forward the integration development strategic decision of large, medium and small enterprises. For manufacturing enterprises, as the main force of innovation, it is urgent to establish a boundary-spanning technology innovation network (BSTIN) in which large-scale manufacturing enterprises act as the core, and upstream and downstream supporting enterprises in the supply chain and the cross-field complementary enterprises cooperate with each other. The "dual meta" and "dual degree" technology innovation have become an important strategic choice for enterprises. Therefore, it is of great significance to explore the law of coordinated interaction of manufacturing enterprises to form BSTIN for improving the systematic technology competitive advantage of manufacturing enterprises.Aiming at a series of problems, such as unclear growth elements of BSTIN, lack of the dual meta &dual degree boundary-spanning accurate guidance for the overall network growth research, unclear start-up timing of the dual meta & dual degree, and neglect of research on dynamic transformation rules of different types of networks, this paper analyzed the differences and dynamic transformation rules of different types of BSTIN from the dual meta & dual degree perspectives, so as to effectively facilitate the growth of innovation network and improve the technology innovation competitive advantage. BSTIN is divided into exploratory breadth BSTIN (A), exploratory depth BSTIN (B), incremental breadth BSTIN (C), and incremental depth BSTIN (D). Based on the epistemology and complex network theory, and after comprehensively considering node & network covariates variables and the subject & object, the factors that affect the formation of BSTIN were extracted, namely such four node variables as knowledge siphon(KS), professional matching(PM), ripple extension(RE), and imprinting inheritance(II); and such four network covariates variables as multi knowledge combination network(MKCN), medici network(MN), dynamic network(DN), and inertial network(IN). The influence tendency of the eight variables on BSTIN formation was theoretically demonstrated.In this paper, ERGM model was used to determine the specific elements of different networks, and NCA method was adopted to carry out necessity and robustness tests. Based on this, NK model was used to determine the factors interacting order and mechanism, and the verification was made based on typical cases, thus revealing the network formation transformation rules. The specific research results were obtained as follows:Result 1: The results showed that the common key elements of BSTIN are mainly reflected in the subject attributes, with the dual meta highlighting knowledge base, and the dual degree highlighting dynamic connection while heterogeneous integration, gradient transfer, multiple expansion, and professional deep cultivation elements affecting the formation of exploratory, incremental, wide, and deep BSTIN respectively. Result 2: The optimal order of A, B, C and D are as follows: KS→RE→DN→MN, MN →II→IN→PM→KS, PM→RE→DN→MN→ MKCN, MKCN→II→IN→PM, and the attraction mechanism, centripetal mechanism, combination mechanism and pull mechanism are demonstrated respectively.Result 3: The path transformation rules of different types of manufacturing enterprises′ BSTIN formation were revealed. Knowledge and subject attributes determine the transformation between dual meta BSTIN, while dual degree boundary-spanning transformation emphasizes the adjustment of knowledge, subject attributes and subject behavior, and the incremental-exploration dualmeta adjustment is earlier than the breadth-depth dual degree adjustment. The transformation between A and B, C and D reflects the logical transformation path of end-to-end circular upgrading, so as to promote the technology innovation network to achieve a higher quality through the interlacing of boundary-spanning depth and breadth. A and C, B and D transformation reflects the different choice focus and development direction, so as to achieve exploratory or incremental technology innovation goals, and the network needs to adjust the direction first, following the degree transformation.This paper will provide important enlightenment for the construction of BSTIN for manufacturing enterprises. Manufacturing enterprises can select the necessary factors for network formation according to different network construction types. According to the optimal order and mechanism, a specific network formation law of "first dual meta and then dual degree" is formed, which provides an important decision basis to grasp the overall logic, and this paper will provide effective guidance for manufacturing enterprise to objectively recognize the dynamic transformation rule of network formation and scientifically adjust the key points of network management.
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    Research on the impact of boundary-spanning search and organizational resilience on green technological innovation of firms
    Wang Juanru, Liu Jieyi
    2024, 45(5): 125-133.  DOI: 10.19571/j.cnki.1000-2995.2024.05.013
    Abstract ( 200 )  
        As the society pays more attention to environmental issues and the development of a green, low-carbon economic system, manufacturing firms begin to regard green technological innovation as an effective strategy to obtain sustainable competitive advantage. However, existing research has paid little attention to the relationship between boundary-spanning search and green technological innovation. Therefore, it is worth clarifying the role of boundary-spanning search on green technological innovation. Drawing on knowledge-based theory and resource orchestration theory, this study explored the influence of boundary-spanning search on green technological innovation, and examined the mediating role of organizational resilience and the moderating role of knowledge orchestration capability. To test the theoretical model, we selected manufacturing firms as research object. The results indicated that:(1) Reactive boundary-spanning search and proactive boundary-spanning search have significant positive influence on green technological innovation. (2) Reactive boundary-spanning search positively affects organizational internal resilience, while proactive boundary-spanning search positively affects organizational external resilience. (3) Organizational internal resilience partially mediates the relationship between reactive boundary-spanning search and green technological innovation, and organizational external resilience partially mediates the relationship between proactive boundary-spanning search and green technological innovation. (3) Knowledge orchestration capability plays a significant moderating role between boundary-spanning search and organizational resilience, and moderates the mediated effect of organizational external resilience between proactive boundary-spanning search and green technological innovation.This study has made several theoretical contributions. First, this study uncovers the effects of two boundary-spanning search on green technological innovation, and enriches the research on antecedents of green technological innovation. Second, the result finds that boundary-spanning search impacts organizational resilience, and reveals the differential impacts of two types of boundary-spanning search on organizational resilience. Third, this study uncovers the partial mediating role of organizational resilience, and enriches the antecedents of organizational resilience. Fourth, this study finds the moderating role of knowledge orchestration capability, and clarifies the effect of knowledge orchestration capability on green technological innovation.This study also has some management implications. First, firms should develop a scientific plan for boundary-spanning search, and strengthen the establishment of formal and informal external cooperation networks. Second, firms should establish crisis awareness and cultivate a long-term vision, pay attention to searching for knowledge ahead of competitors, and carry out diversified cooperation. Third, firms should enhance internal members′ interaction, reconfigure existing green resources and technological capabilities, and attach importance to green intelligent manufacturing.
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    An analysis of the evolution of technological innovation in Sino-foreign joint ventures
    Liu Ting, Tong Tong, Zhang Manjiao
    2024, 45(5): 134-142.  DOI: 10.19571/j.cnki.1000-2995.2024.05.014
    Abstract ( 126 )  
     The Chinese-style technological innovation is not only the primary driving force for promoting high-quality development in China, but also a core element for realizing the Chinese-style modernization. Sino-foreign joint ventures, as the important outcome of China′s rational utilization of foreign investment and deepening of Reform and Opening-up, play a significant role in the Chinese-style technological innovation. By systematically combing the specific contextual background of technology innovation in Sino-foreign joint ventures within the context of China′s modernization development and the evolution logic of China′s macro policies, this paper explored the characteristics, patterns, and evolutionary path of their technological innovation. The study showed that: (1) The technological innovation of Sino-foreign joint ventures has gone through three stages: the embryonic stage, i.e. “market for technology” stage (1978-late 20th century), the exploration stage, i.e. the technology introduction, assimilation, absorption and re-innovation stage (late 20th century-2017), and the development stage, i.e. the independent technology innovation stage (2017-present). Significant changes have occurred in the innovation patterns, dominance of key and core technologies, and the strength of technological innovation capabilities in each stage; (2) The technological innovation of Sino-foreign joint ventures has experienced a spiral upward trajectory characterized by progress, twists and cycles; (3) The dynamic alignment between the reality of technological innovation and the evolution logic of macro policies has driven the transition of technological innovation stages in Sino-foreign joint ventures, and eventually paving a Chinese-style technological innovation path that is different from such countries as the United States, Japan, and South Korea. This study will provide a reference for understanding the intrinsic logic of dynamic evolution of Chinese-style technological innovation, an insight for the development direction of Chinese-style innovation theory research, and will be of great significance for an in-depth understanding of China′s high-quality development and Chinese path to modernization.
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    Core elements and incentive mechanism for promoting the transformation of scientific and technological achievements: A multi-case study based on "Three Reforms"
    Duan Yongbiao, Dong Xinyu
    2024, 45(5): 143-152.  DOI: 10.19571/j.cnki.1000-2995.2024.05.015
    Abstract ( 235 )  
        Accelerating the transformation of scientific and technological achievements (TSTA) is an important part of implementing the innovation-driven development strategy, promoting the high-quality development of economy and society, and enhancing the comprehensive competitiveness of the country. This paper built an analytical framework based on expectation theory, selected five universities as research samples through field research and in-depth interviews, and used multiple case studies to investigate the pilot project of the "Three Reforms" of TSTA in Shaanxi Province (single-listed management of scientific and technological achievements, evaluation of technology transfer personnel and title evaluation, and funding of horizontal research project balances). The study found that: the "Three Reforms" in Shaanxi Province have achieved remarkable results and provided valuable experience for the reform and innovation in the field of TSTA. The high promotion is an important driving force of the "Three Reforms".Policy supply, organizational leadership, innovation drive and resource gathering are the core elements to accelerate TSTA. Among them, policy supply is the guarantee and leadership of TSTA. Organizational leadership is an important driving force for TSTA. Innovation drive is the key and kernel of TSTA. Resource gathering is an important support and cornerstone for TSTA. In addition, to promote TSTA, we need to start from the core elements, strengthen individual incentive, organizational incentive and process incentive, and enhance the performance of TSTA.Based on the findings of the study, three policy insights are proposed. First, the innovation of the institutional mechanism for TSTA should be promoted.We should strengthen the strategic deployment and top-level design, improve the incentive mechanism for TSTA, and improve the evaluation and assessment system of scientific research achievements and the regulatory mechanism. Secondly, it is necessary to strengthen the synergy between different subjects. We should explore the TSTA in the industry, academia and research collaborative innovation, through government guidance, market mechanisms and other ways, build up the service alliance platform for the results of the transformation, strengthen the synergies between universities, enterprises, research institutions, scientific and technological associations and other subjects, and promote the connection of the whole chain of industry, academia, research and use. Third, we must continue to stimulate TSTA. We should promote the landing of relevant policies with a high level of promotion, focus on the core elements of TSTA, and bring together the synergy of resources. Through incentives, subsidies, rent reductions and other initiatives, we should stimulate the willingness of researchers, enterprises and other relevant subjects to participate in TSTA. This paper has broadened the discussion on the influencing factors and incentive mechanism of TSTA, made up for the inadequacy of the existing research that pays less attention to the common influencing factors of TSTA, enriched the multi-case research results of TSTA at the level of the implementation effect, and laid a theoretical foundation for the subsequent research on TSTA. At the same time, this study has provided a certain reference for the government to further enhance the effectiveness of TSTA. This paper has refined the core elements of TSTA and put forward the systematic enhancement ideas of promoting TSTA, which can help guide the policy makers to fully consider the synergy between the elements and the main body in the design of policies and mechanisms for TSTA, and will also provide a focus point for the promotion of the effectiveness of TSTA.
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    Research on the impact of mixed ownership reform on digital transformation of state-owned enterprises
    Ren Le, Wang Qianwen, Chen Yan
    2024, 45(5): 153-162.  DOI: 10.19571/j.cnki.1000-2995.2024.05.016
    Abstract ( 203 )  
       The reform of mixed ownership is an important measure for state-owned enterprises to improve their internal governance structure and improve the degree of marketization. In the context of vigorous development of digital economy, it is worth exploring whether state-owned enterprises can empower digital transformation through mixed ownership reform. This paper selected the state-owned listed companies from 2008 to 2021 as the research sample, and empirically examined the impact and mechanism of mixed ownership reform on the digital transformation of state-owned enterprises with the help of a fixed-effect model. The results showed that: (1) mixed ownership reform can significantly promote the digital transformation of state-owned enterprises; (2) the promotion effect of mixed ownership reform on the digital transformation of state-owned enterprises is mainly achieved by inhibiting the managerial myopia and increasing the degree of strategic aggressiveness; (3) among Chinese central state-owned enterprises, companies where there is the relatively controlling position of state-owned shareholders and state-owned enterprises with high degree of competition in the relative industry, the promotion effect of mixed ownership reform on the digital transformation of state-owned enterprises is more significant. This paper will enrich the research on the economic consequences of the mixed-ownership reform of state-owned enterprises, reveal the internal mechanism of mixed-ownership reform to promote the digital transformation of state-owned enterprises, and provide empirical evidence for further promoting the digital transformation of state-owned enterprises and promoting the high-quality development of the digital economy.
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    Comparison of corporate philanthropy behavior patterns and research of their formation mechanism
    Li Yi, Wei Peiye
    2024, 45(5): 163-171.  DOI: 10.19571/j.cnki.1000-2995.2024.05.017
    Abstract ( 148 )  
        Corporate philanthropy is an important part in exerting the role of the third distribution and promoting common prosperity. Why and how corporations engage in philanthropy are two core issues. Starting from the institutionalism theory of organizational analysis, this paper constructed an integrated explanation chain along the logic of "environmental factors → mechanism→ corporate philanthropy model", and used a comparative analysis of typical cases to comprehensively compare the similarities and differences of different corporate philanthropy behavior models from five dimensions: philanthropy motivation, action subjects, activity fields, partners and participation means, and reveals their generation mechanisms. This paper found that the corporate philanthropy behavior model is the result of the joint action of the technological environment and the institutional environment. The technical environment and its efficiency mechanism are fundamental forces that affect corporate philanthropy. Meanwhile, corporations are also influenced by regulatory, normative and cognitive mechanisms. The different combinations of dominant mechanisms shape the diversity of corporate philanthropy behavior models.Specifically, when the efficiency mechanism works alone, corporations consider conducting philanthropy activities as a more efficient way to achieve strategic objectives, including establishing a good image, repairing corporate reputation in negative events, expanding the market, reducing research and development costs, strengthening employees′ loyalty, and increasing the viscosity of business partners. These types of corporations select philanthropy activities around business, choose organizations with national organizational systems and pervasive influence to cooperate, and value the strategic functions of philanthropy and voluntary participation.When regulatory mechanisms play a leading role, corporations try to maintain government relations legally through philanthropy activities, so that they can avoid government interference, seek political rents, and obtain financing convenience. Through philanthropy activities, corporations can actively comply with official policies and respond to national strategies. These types of companies value the official background of nonprofit organizations and prefer to use administrative strategies to conduct philanthropy activities and manage volunteering.When the role of normative mechanisms is prominent, corporations aspire to play the role of corporate citizens through philanthropy, giving back to their communities, solving social problems and responding to social needs. These types of corporations choose the field and content of philanthropy activities around social problems they care about, tend to cooperate with grassroots nonprofit institutions that are highly compatible with their philanthropy missions and are willing to cultivate nonprofit institutions′ programs and promote the infrastructure construction of the philanthropy sector. When the role of cognitive mechanisms becomes prominent, corporations try to undertake the cultural mission reasonably through philanthropy, including following the guidance of values, responding to cultural expectations, practicing traditional notions, and shouldering the expected social responsibilities. The philanthropy direction and financial investment of these types of corporations are strongly influenced by entrepreneurs′ personal values. The traditional cultural characteristics in philanthropy activities and voluntary participation are relatively strong.The main policy implications of this paper are that corporations of different natures and industries are dominated by different environments and mechanisms to shape their philanthropy behaviors. Specifically, state-owned enterprises are more affected by the regulatory mechanism, while private enterprises are relatively more exposed to the cognitive mechanism. C-end enterprises are more influenced by the efficiency mechanism, while B-end enterprises are more influenced by the normative mechanism. Our findings suggest that the government should accurately find the core shaping force of corporations′ philanthropy behaviors, pay more attention to the stability and sustainability of donations, and be more sensitive to the preferences and characteristics of corporate voluntary participation. Based on that, the government can mobilize resources accurately and guide more corporations to engage in philanthropy and the third distribution. Under this, nonprofit organizations can also more effectively develop and maintain corporate donors.
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    Research on the mechanism of innovative leader to promote employees′ radical innovation
    Zhang Haitao, Zhang Jianjun, Xu Hexian, Xiong Ding, Liu Wenxing
    2024, 45(5): 172-181.  DOI: 10.19571/j.cnki.1000-2995.2024.05.018
    Abstract ( 216 )  
       Innovative leader is an important factor affecting employees′ innovation. However, in the context of increasingly prominent importance of innovation, how innovative leader affects employees′ radical innovation has not been answered by existing studies. Based on the functional leadership theory and the social information processing theory, this study constructed a mediating model of the influence of innovative leader on employees′ radical innovation, and explored the moderating effect of traditionality. Based on the three-wave data of 53 enterprise leaders and 315 subordinate employees, the cross-hierarchical regression and R mediation analysis were carried out. The results showed that innovative leader has a significant role in promoting organizational innovation climate and employees′ radical innovation behavior. Organizational innovation climate plays a significant role in promoting employees′ radical innovation behavior. Organizational innovation climate plays a positive mediating role in the influence of innovative leader on employees′ radical innovation behavior. Traditionality negatively moderates the relationship between organizational innovation climate and employees′ radical innovation behavior. The study has highlighted the value of innovative leader in influencing employee innovation, provided a unique theoretical perspective for understanding the specific mechanism of innovative leader′s impact on employees′ radical innovation behavior, and will provide some theoretical and practical reference for stimulating employees′ radical innovation behavior from the perspective of leadership and organizational innovation climate. 
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    Research on the impact of population aging on digital transformation of enterprises
    Wang Leixi, Liu Hongxun, Yu Nutao
    2024, 45(5): 182-192.  DOI: 10.19571/j.cnki.1000-2995.2024.05.019
    Abstract ( 276 )  
         Under the background that the government is vigorously developing the digital economy but the digital transformation of Chinese enterprises is progressing slowly, it is of great significance to clarify the factors hindering the digital transformation and explore possible solutions. Taking Shanghai-Shenzhen A-share listed firms from 2008 to 2020 as a sample, this paper used the mediator effect model to investigate the impact of population aging on enterprises′ digital transformation and the mechanism behind it. The results suggested that population aging has a dampening effect on the digital transformation of enterprises. After using instrumental variable method, difference-in-differences method under the propensity score matching and dynamic panel model to alleviate the potential endogenous problems, the research conclusion is still hold true. The mechanism tests found that population aging impedes corporate digital transformation by reducing the capacity for digital technology innovation, reducing digital transformation subsidies, and increasing excess tax burden. The heterogeneity analysis showed that the dampening effect of population ageing on digital transformation is mainly found in SMEs and non-state-owned firms, but this negative effect can be attenuated by increasing the level of intellectual property protection and increasing the level of competition in the banking sector. This paper has theoretically enriched the research related to the influencing factors of digital transformation and the economic effects of population aging. In practice, this paper will not only provide decision-making references for mitigating the adverse consequences of population aging, but also bring positive inspirations for promoting the digital transformation of Chinese enterprises.
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