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Does the Development of Digital Economy Narrows the Income Gap between Urban and Rural Areas?—Empirical Evidence from Chinese Cities Li Zhen, Chang Zhongze, Dai Wei, Wang Shaobin Management Review    2025, 37 (4): 61-71.   Abstract （417）      PDF （1198KB）（295）       Knowledge map    Narrowing the income gap between urban and rural areas is one of the most important ways to promote common prosperity. At the same time, the world has entered the digital era, and the digital economy has had a significant impact on the income gap between urban and rural areas. This paper explores the theoretical logic and specific mechanism of the impact of digital economy on the urban-rural income gap. Using the data of 290 cities in China, this paper makes an empirical analysis by constructing the digital economy index system and using the fixed-effect model, generalized moment estimation, panel threshold model and other methods. The results show that there is a significant U-shaped relationship between digital economy and urban-rural income gap, which is well supported by robustness test and endogeneity test. Mechanism analysis shows that digital economy can narrow the urban-rural income gap by promoting the level of urbanization. Threshold regression analysis shows that the effect of digital economy development on urban-rural income gap is regulated by per capita GDP and the proportion of science and technology expenditure in GDP. Based on the theoretical analysis and empirical results, this paper puts forward some targeted policy suggestions to narrow the urban-rural income gap. Reference | Related Articles | Metrics

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Digital Technology Adoption and Employment Structure: Empirical Evidence from Listed Companies Guan Rong, Wang Heting, Wang Huijuan Management Review    2025, 37 (8): 3-15.   Abstract （346）      PDF （1242KB）（241）       Knowledge map    The transformation and development of enterprises applying digital technology is the kernel guarantee to promote the high-quality development of China’s digital economy, and the resulting impact and influence on the micro labor market is an issue that needs to be urgently resolved for the development of the country’s major strategies. Based on the data of Chinese listed companies from 2011 to 2020, this paper takes a micro perspective to explore the impact of digital technology application on the employment structure of enterprises and the mechanism underlying the impact. It is found that the application of digital technology has an “inverted U-shaped” relationship with the total number of employees and the number of unskilled employees, but there is a significant positive relationship with the number of skilled employees, indicating that the application of digital technology can help optimize the employment structure of enterprises and thus has an empowering effect. Further analysis reveals that the application of digital technology affects the employment structure of enterprises mainly by enhancing innovation capability, affecting the level of skill premium, and improving productivity. The spillover effect of digital technology on enterprises varies significantly, depending on their production scale, social burden and likelihood of being substituted. The relevant conclusions bring more empirical support for clarifying the mechanism of how digital technology influences the employment structure of enterprises, and provide certain policy insights for promoting the integration of digital technology with the real economy. Reference | Related Articles | Metrics

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The Structure and Evolution of Industrial Embodied Carbon Emission Flow Network in China under the Constraint of Carbon Peaking Wang Zhaohua, Wang Shuohan, Li Hao, Wang Song, Zhang Shuang Management Review    2025, 37 (4): 3-16.   Abstract （328）      PDF （11018KB）（250）       Knowledge map    The upstream and downstream of the industrial production process are highly correlated, so changing the existing production process is bound to bring about transformations in the whole industrial system. Therefore, in order to achieve the carbon peak in the industrial sector, it is necessary to study the embodied carbon emission flow relationship between different industries to promote carbon emission reduction collaboratively. In this paper, we compile China’s input-output tables of 2025 and 2030 based on GRAS method and use expanded environment input-output model (EEIO) and social network analysis method (SNA) to identify the characteristics of the structure and evolution of the embodied carbon emission flow networks of China’s industrial chain during 2010 to 2030. The results show that during 2010 to 2030, the embodied carbon emissions of the power sector show a rapid rising trend, while those of petrochemical, chemical, non-metallic mineral products, smelting and pressing of mental decrease between 8% and 30%. As for the perspective of network structure, chemical, non-metallic mineral products and mental smelting and pressing sectors are the main embodied carbon “importers”, while electric power, chemical and special equipment manufacturing sectors are the main embodied carbon “suppliers”. Electric power sector, chemicals and specialized equipment manufacturing contribute 40% of the intermediation capacity in embodied carbon emission network. Under the constraint of carbon peak target, the center of embodied carbon network is gradually transferred to the tertiary industry, and electric power, service and transportation sectors become important “bridge” in the process of embodied carbon transfer. Reference | Related Articles | Metrics

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Local Government Debt Expansion and Corporate Trade Credit Supply Wu Yuhui, Mo Yifan Management Review    2025, 37 (3): 3-16.   Abstract （304）      PDF （1240KB）（171）       Knowledge map    This paper empirically examines the impact of government debt expansion on corporate trade credit supply and its underlying mechanisms based on hand-collected and compiled comprehensive data on local government debt and financial data of non-financial listed companies on the Shanghai and Shenzhen stock exchanges from 2007 to 2019. The findings show that government debt expansion has a significant inhibitory effect on corporate trade credit supply, and the effect is more pronounced in enterprises that are non-state-owned, small-scaled, and exposed to less industry competition. The mechanism test reveals that the expansion of government debt scale aggravates the financing constraints, operational risks, and tax burdens of enterprises, thereby reducing their trade credit supply. Further research shows that government debt expansion shortens the supply period of trade credit and lowers its quality. This study provides reference and guidance for strengthening government debt governance and preventing systemic financial risks. Reference | Related Articles | Metrics

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The Dynamic Process of Overcoming Liability of Ecosystem Integration and Ecosystem Configuration Combination: A Case Study and an fsQCA Analysis Gao Yaqi, Cai Wenxuan, Shi Xianwei Management Review    2025, 37 (3): 261-275.   Abstract （279）      PDF （2560KB）（130）       Knowledge map    The concept of liability of ecosystem integration (LoEI) expands the scope of discussions on liability of foreignness (LoF) and liability of outsider (LoO). Regarding the influencing factors of companies going overseas, LoEI broadens the scope of responsibilities that foreign entrants may face and proposes the establishment of a multi-layered local ecosystem to be effective in the host country market, but the process mechanism of how companies overcome LoEI has not yet been explored. This paper uses case analysis and NCA and fsQCA methods, taking legitimacy acquisition as a clue to analyze the dynamic process mechanism of how overseas enterprises overcome LoEI, and explore the combination of ecosystem configurations that affect the level of overseas enterprises overcoming LoEI. The study concludes that: (1) the dynamic process model of LoEI includes three stages: encountering LoEI at the initial market entry period, maintaining LoEI at the market development period, and defending LoEI at the period of external shocks; (2) ecosystem configuration combinations that produce high LoEI-overcoming levels include institutional distance, Gini index, urbanization rate, foreign capital inflow, trade competitive advantage, and economic complexity. The research provides theoretical support and guidance for overseas enterprises and economically open countries to achieve high local ecosystem embeddedness and build their development environment. Reference | Related Articles | Metrics

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Cross-regional Government Data Co-governance under the Perspective of Open Government Data: A Quadrilateral Evolutionary Game Analysis Wu Sen, Yang Zhengfan, Shan Zhiguang, He Huixia, Wei Guiying Management Review    2025, 37 (3): 136-148.   Abstract （250）      PDF （10255KB）（111）       Knowledge map    There are regional differences in the process of government data opening in China, and the lack of mobility and coordination of government open data in different regions seriously hinders the aggregation and utilization of cross-regional heterogeneous data. Therefore, it is necessary for multi-party participants to collaborate in data governance and promote cross-regional government data co-governance in order to further explore the value of open data. This paper constructs a quadrilateral evolutionary game model of data co-governance that includes the central government, two cross-regional government data open platforms at the same administrative level, and data utilization groups to explore the equilibrium strategy and strategy stability of multi-party participation in government data co-governance. It also combines the simulation analysis of data related to two local governments in 2022 to study key factors such as policy differences and data utilization groups’ behavior on the evolutionary path. This paper finds that: the central government’s subsidy mechanism for data utilization groups can promote their information feedback, which in turn promotes data co-governance of open government data platforms in the two regions, and as the satisfaction level of co-governance increases, the central government shifts from the punishment mechanism to the subsidy mechanism for platforms; the cross-incentive mechanism under the subsidy mechanism can alleviate the free-rider behavior of platforms in government data co-governance and realize collaborative data co-governance in the two regions; the implementation of differential incentives under the penalty mechanism under specific conditions can avoid the prisoner’s dilemma of the two regional platforms and realize the collaborative data co-governance. Finally, policy and management suggestions are put forward from the perspective of each government data co-governance participant to provide a reference for cross-regional local governments to implement government data co-governance on open data. Reference | Related Articles | Metrics

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Dynamic Analysis of Financial Innovation, Risks and Supervision Based on Tripartite Evolutionary Game Gong Qingbin, Diao Xundi, Wu Chongfeng Management Review    2025, 37 (7): 3-14.   Abstract （237）      PDF （1620KB）（380）       Knowledge map    Based on the strategic interaction and behavioral assumptions of financial institutions, investors and market regulators, a tripartite evolutionary game model of the financial innovation is constructed. The study establishes a time-varying return matrix for the game by taking account of the correlation between investor participation and market risk levels, as well as their impacts on participant behavior. With the dynamical system method, the equilibria of the model are solved, and the asymptotic stability conditions of equilibria are investigated. The result shows that the mixed strategies are not evolutionary stable strategies (ESS). The evolutionary dynamics are influenced by many factors such as the risk level of financial innovation, the efficiency of supervision, the innovation costs, and investment costs. In order to achieve the low-risk regulatory goals, regulators need to take measures to reduce regulatory costs, improve regulatory efficiency, and increase input costs of high-risk financial products. The numerical simulations further demonstrate the complexity of market dynamics under different parameter conditions, as well as the impact of regulatory policy on market evolution. When there are multiple equilibria, regulators should take several measures simultaneously by changing the initial market conditions and equilibrium stability conditions. This study enriches the theoretical research on financial innovation and regulation, and provides significant implications for formulating and adjusting regulatory strategies. Reference | Related Articles | Metrics

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A Research into the Mechanism of How New Infrastructure Projects Drive Integrated Urban-Rural Development Wu Guobin, Li Yuhan, Yang Fan, Li Yulong Management Review    2025, 37 (9): 3-14.   Abstract （232）      PDF （1215KB）（152）       Knowledge map    New infrastructure has great potential to promote integrated urban-rural development. Based on the panel data of 31 provincial-level administrative regions in China from 2012 to 2021, this paper applies spatial lag modeling to test the mechanism of how new infrastructure drives integrated urban-rural development. The results demonstrate that the new infrastructure has a driving effect on integrated urban-rural development, and there is a significant spatial spillover effect. The three types of new infrastructure, namely information-based infrastructure, integrated infrastructure, and innovation infrastructure, all have a positive effect on integrated urban-rural development. Specifically, the effect of information-based infrastructure relies on the digital economy, the effect of innovation infrastructure relies on industrial structure upgrading, and the effect of integrated infrastructure can be transmitted through both the digital economy and industrial structure upgrading. Therefore, the investment and construction of the three types of new infrastructure should be planned scientifically, considering the digital economy and industrial structure of the region, and the interregional planning of new infrastructure should be strengthened, to give full play to the spatial spillover effect of the new infrastructure, and to promote integrated urban-rural development. Reference | Related Articles | Metrics

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Emission Reduction Effect of Low-carbon Transition in Power System: Analysis from the Perspective of Structure Optimization Zhang Guoxing, Gao Xiulin, Yang Yang, Yu Lean, Liu Chuanbin Management Review    2025, 37 (5): 3-16.   Abstract （227）      PDF （1501KB）（133）       Knowledge map    Promoting structural decarbonization of the power system, the largest source of CO2 emissions in China, is conducive to slowing down urban carbon emissions and realizing the carbon peaking and carbon neutrality goals. On the basis of decomposing the production data of all power plants of 6000 kW and above in China (14,570 plants in total) to the city level, this paper uses the panel data of 274 urban power production terminals from 2015 to 2019 to analyze the impact of low-carbon transformation of power system on urban carbon emissions and the spatial differences by using a spatial metro-logy model. With the aid of LMDI decomposition analysis, the future carbon emission paths of power systems in seven regions are predicted under two policy scenarios. The results show that:(1) Compared with thermal power generation, renewable energy generation can effectively reduce urban carbon emissions in Central, South, Southwest and Northwest China; (2) The clean transformation of power generation structure can effectively inhibit the increase of urban carbon emissions, and there is a positive spatial spillover effect. Specifically, when the share of renewable energy generation increases by 1%, urban carbon emissions fall by an average of 2.1%; (3) Regional policy scenario analysis shows that power systems in Northwest and Southwest China will be the first to achieve the peak of carbon emissions, while those in North and East China will be the last, and all regional power systems will achieve the peak goal successively in 2026-2030. At present, the overall proportion of clean energy power generation is still small, and it is necessary to fully tap and utilize the potential of wind, sunlight and other renewable energy power generation while promoting power generation technology innovation, and continue to enhance the positive role of renewables in urban carbon reduction and green governance. Reference | Related Articles | Metrics

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Industry-University-Research Cooperation, Internal R&D and Enterprise Breakthrough Innovation: From the Perspective of Knowledge-based Theory Liu Feiran, Li Shijie Management Review    2025, 37 (3): 101-110.   Abstract （214）      PDF （1212KB）（180）       Knowledge map    Based on the knowledge-based theory, this paper discusses the mechanism of how industry-university-research cooperation (IURC) and internal R&D (IRD) influence the breakthrough innovation of enterprises, and focuses on the internal and external integration mechanism in breakthrough innovation. The results show that: First of all, both IURC and IRD have an inverted U-shaped influence on breakthrough innovation, the underlying mechanism lies in their nonlinear influence on the firm’s knowledge base and the mediating effect of the knowledge base. Secondly, enterprises suffer from “NIH syndrome” in IURC, as plenty of IRD reduces the persistence and peak value of the positive effect of IURC. The internal mechanism is that IURC can improve the breadth of knowledge, while IRD will narrow the knowledge of enterprises, as a result of which, IRD makes IURC less able to promote the breadth of knowledge base. Based on the sample of China’s listed companies and patents’ information, this paper provides empirical evidence for the theoretical hypotheses, and provides new ideas for enterprises to achieve breakthrough innovation from the perspective of balancing and coordinating internal and external innovation. Reference | Related Articles | Metrics

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When Is the Structural Hole Conducive to Firms' Innovation?—A Comparative Study of Coopetition Network and Non-coopetition Network Zhang Na, Xu Min, Bi Yanran, Gao Wenyue, Xu Lili Management Review    2025, 37 (4): 128-141.   Abstract （214）      PDF （1326KB）（139）       Knowledge map    Based on social network theory, competitive theory and industrial technology life cycle model, this paper constructs a research framework to test the impact of the location of structural holes in coopetitive network and non-coopetitive network on innovation performance under different industrial technology life cycles. The results show that when the development of industrial technology is in the growth stage, the enterprise innovation is promoted by the structural hole position in both the coopetitive network and the non-coopetitive network. When the development of industrial technology enters the mature stage, the position of the structural hole in the coopetitive network has no effect on the innovation of enterprises, but it can promote enterprises with high knowledge stock. The position of the hole in the non-coopetitive network inhibits the innovation of enterprises. Based on the above findings, enterprises need to take corresponding countermeasures according to the different stages of the industrial technology life cycle to optimize the coopetitive network and non-coopetitive network structure, so as to improve their technological innovation ability. Reference | Related Articles | Metrics

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Study on the Impact of Energy Structure Optimization on the High-quality Development of China's Economy Feng Mei, Wei Tao, Lan Lan, Chen Yiqing Management Review    2025, 37 (4): 33-45.   Abstract （212）      PDF （1185KB）（168）       Knowledge map    Energy is an important factor related to the national economic lifeline and social stability, and its structural optimization is of significant significance for promoting high-quality economic development in China. This paper takes data from 30 provinces in China from 2007 to 2020 as samples and uses a systematic GMM model to explore the impact of energy structure optimization on high-quality economic development from both supply and demand sides. The study finds that energy production structure and consumption structure optimization have a significant positive impact on high-quality economic development in China; There are positive government governance effects and energy investment effects on the supply side and demand side, respectively; There is regional heterogeneity in the impact of energy structure optimization on high-quality economic development in China. Among them, the promotion effect of energy production structure optimization on high-quality economic development is significant in the central region, while the promotion effect of energy consumption structure optimization is significant in the eastern and central regions. In summary, this study not only provides strong empirical support for the positive role of energy structure optimization in promoting high-quality economic development, but also provides useful reference and inspiration for continuing to deepen the energy revolution and promote higher quality economic development in China. Reference | Related Articles | Metrics

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How can Leader-Subordinate Critical Thinking Congruence Affect Creative Problem-solving? Chain Mediation and the Intervention Effect of Job Creativity Requirement Tu Xingyong, Zhang Qiao, Dong Yanan, Jiang Jing, Yang Baiyin Management Review    2025, 37 (4): 142-155.   Abstract （211）      PDF （1334KB）（182）       Knowledge map    Critical thinking is a basic dimension of the cognitive spectrum and is considered to be the most recognizable label for improving the creative output of subordinates. However, previous studies have ignored the differential effects and internal mechanisms of different combinations of “leader-subordinate” critical thinking on subordinates’ creative problem-solving. In order to gain a lasting competitive advantage in this “innovation-driven” context, we need to re-understand critical thinking and the constructive role it generates. Because critical thinking is not isolated from the field of Chinese organization and management. On the contrary, it provides certain annotations for individual behavior. In this sense, taking its essence, insight and glow the influence of critical thinking on individual behavior is different from the past, which has certain theoretical value and practical enlightenment. In order to remedy these deficiencies and fully reveal the different demands driven by cross-linking of thought, this paper takes the cognitive consistency theory as the upper theory by introducing the perspective of leader-subordinate matching, establishes a chain mediation model in which exploration behavior and resource acquisition act on subordinates’ creative problem-solving through subordinates’ critical thinking and leaders’ critical thinking, and describes in detail the moderating role of creative work requirements in this model. Based on the job demand-resource theory, this paper reveals the conditional intervention mechanism of creative work requirements in the process of improving creative problem-solving, responds to the situational differences generated by creative results, and provides further empirical support for high-quality improvement of creative problem-solving and accumulates local evidence. Polynomial regression and response surface analysis techniques are applied, a multi-source time lag is designed to reduce common method bias, by analyzing 269 leaders and employees paired data at two time points. It is found that: the higher the consistency between the leader’s critical thinking and the subordinate’s critical thinking, the higher the subordinate’s exploratory behavior. Compared with the situation of “high leader critical thinking and low subordinate critical thinking”, the exploration behavior of subordinates is not significantly increased in the case of “low leader critical thinking and high subordinate critical thinking”. The consistency of critical thinking between leaders and subordinates influences creative problem-solving through the chain mediation of exploration behavior and resource acquisition. Job creativity requirement plays a moderating role in the relationship between resource acquisition and creative problem-solving, and further, it has a conditional effect on the consistency of critical thinking between leaders and subordinates through the chain mediation of exploration behavior and resource acquisition. This paper explores and details the potential mechanism of how different combinations of leader-subordinate critical thinking influence creative problem-solving, provides more explanation paths for the intertwine drive of leadership and subordinates, and provides inspiration for the innovative competition of employee exploration behavior and creative problem-solving. Reference | Related Articles | Metrics

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The Theoretical Logic and Level Measurement of New-quality Productive Forces Development under the Perspective of Artificial Intelligence Chen Xiaohong, Huang Chengdong, Yuan Yige, Tang Xiangbo Management Review    2025, 37 (11): 3-14.   Abstract （207）      PDF （1750KB）（160）       Knowledge map    Grasping the developmental patterns of productivity under the perspective of artificial intelligence holds significant value for propelling the qualitative transformation of productivity. This paper incorporates the transformative characteristics of AI into the theoretical analytical framework and systematically elucidates the conceptual connotations of the new type of productivity. Based on the three-factor theory of productivity, it reveals the theoretical logic through which the productivity system achieves qualitative leaps by renewing the connotations of its elements and optimizing their combinations, under the context of AI altering the modes of social production. On this basis, the paper further summarizes the measurement indicators of the three elements of productive forces from the perspective of AI and proposes a framework for measuring new-quality productive forces. It then uses this framework to assess the current state of new-quality productive forces at the provincial level. From a spatial dimension, the visualization of the characteristics of new-quality productive forces development reveals a polarization phenomenon among provinces and a stepwise development pattern of “coastal—riverine—inland” regions. Meanwhile, the regional imbalanced development of new-quality productive forces overlaps to some extent with that of economic levels, although some provinces at relatively lower economic levels have already shown a trend of using new-quality productive forces to achieve economic catch-up. This paper aims to enrich the theoretical system of new-quality productive forces and provide decision-making support for the practical application of AI in driving qualitative changes in productive forces by measuring the level of new-quality productive forces development. Reference | Related Articles | Metrics

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The Deterrent Effects of Regulatory Penalties: Empirical Evidence from Rating Agencies Zhang Xinmin, Ding Xuan, Yang Daoguang Management Review    2025, 37 (3): 17-27.   Abstract （202）      PDF （1235KB）（152）       Knowledge map    In China’s bond market, government regulation is the basic force to maintain the orderly development of the bond market, and is the top-level foundation behind many factors affecting the bond market. Using samples of medium-term notes, corporate bonds and enterprise bonds issued by Chinese listed companies from 2014 to 2021, this paper examines the impact of regulatory penalties on credit rating agencies. The results show that the credit rating level decreases significantly after the regulatory punishment event, as the regulatory punishment has “deterrent effect”; further, this effect is more significant for non-state-owned credit rating agencies and bond issuers with poor information environment, while warning penalties and penalties from National Association of Financial Market Institutional Investors do not have “deterrent effect”. An examination on the economic consequences of “deterrent effect” shows that although the regulatory penalty increases the second type of errors of credit rating agencies, it reduces the first type of errors and the overall rating errors, indicating that although the “deterrent effect” causes the rating agencies to be overly cautious, it improves the rating accuracy on the whole. In addition, regulatory penalties significantly increase the information content of bond credit rating and improve the mismatch between bond credit rating and default risk. Finally, the dynamic test results show that the “deterrent effect” of regulatory penalties does exist, but only in short term and unsustainably. Finally, this paper has important implications for credit rating agencies to improve bond rating behavior and for bond market regulators to improve regulatory governance measures. Reference | Related Articles | Metrics

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Measurement, Pathway, and Influencing Factors of Carbon Transfer in High-energy Consuming Industries Based on Industrial Transfer Li Meng, Wang Yanan, Li Qiao, Chen Wei, Liu Zengming, Yu Qianyu Management Review    2025, 37 (3): 28-41.   Abstract （200）      PDF （1261KB）（154）       Knowledge map    This study uses a Multi-Regional Input-Output Model (MRIO) to calculate the transfer of high-energy-consuming industries and carbon emissions among 30 provinces in China for the years 2002, 2007, 2012, and 2017. It compares the inter-provincial and inter-industry transfer paths of industries and carbon emissions. Multi-Scale Geographically Weighted Regression Model (MGWR) is applied to examine the impact of environmental regulations, industrial structure, energy intensity, and urbanization on carbon transfers. The results show that the pathways of transfer for high-energy-consuming industries and carbon emissions are similar but not completely linked. The trend of industrial transfer shifting northward is gradually weakening, but carbon transfer continues to move in the same direction. There are significant differences when examining specific industries. The construction industry is the largest transferring industry, primarily transferring out from Shanghai. The province with the most carbon transfer from the construction industry is Zhejiang. The study on factors influencing carbon transfers indicates that environmental regulations and energy intensity have a positive impact on carbon transfers, while urbanization and industrial structure have a negative impact. Reference | Related Articles | Metrics

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The Impact of Cooperative Conflict Management on Team Creativity: A Dual Moderated Mediation Model Shen Li, Wu Xuezhen Management Review    2025, 37 (3): 177-189.   Abstract （191）      PDF （1303KB）（174）       Knowledge map    The traditional Chinese concept of “harmony but diversity” has promoted the development of cooperative conflict management methods within teams. Does such conflict management method affect team creativity? Based on the action learning theory, this study constructs a dual-moderation mediation model. Through an empirical research and analysis of 412 questionnaires from leaders and employees in 77 teams, it explores and tests the influence of cooperative conflict management on team creativity and the mechanism underlying the influence. The research results indicate that cooperative conflict management positively predicts team creativity, and team reflection plays a mediating role between cooperative conflict management and team creativity. Leader mindfulness and team task complexity can positively moderate the facilitative effect of cooperative conflict management on team reflexivity, while also significantly moderating the indirect effect of cooperative conflict management on team creativity through the mediating mechanism of team reflexivity. The results of this study deepen the theoretical research of team conflict management in China, emphasize the importance of leader mindfulness, and provide practical enlightenment for organizations and leaders to stimulate team creativity through cooperative conflict management. Reference | Related Articles | Metrics

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Social Trust and Enterprise Top Management Team Stability Liu Xiaoyuan, Yu Yanzhou, Zhang Guangli, Pang Shoulin Management Review    2025, 37 (3): 164-176.   Abstract （186）      PDF （1641KB）（122）       Knowledge map    This study focuses on the effects of regional social trust on the stability of the enterprise top management team (TMT). As the levels of social trust vary greatly between regions in China, this paper develops a theoretical logic of the effects of social trust on the enterprise TMT stability, based on the institutional theory and viewing from the perspective of social norms, and empirically tests the effects of social trust on the enterprise TMT stability as well as the moderating effect of performance below the aspiration level and market environment by using the data of social trust and Chinese A-share listed firms. The results show that: the higher the level of regional social trust, the stronger the TMT stability; performance below the aspiration level negatively regulates the positive relationship between social trust and enterprise TMT stability; and the market munificence and market instability in the market environment positively and negatively affect the relationship between social trust and enterprise TMT stability, respectively. Based on the above conclusions, management implications are provided for the enterprise TMT governance and the enhancement of regional trust levels. Reference | Related Articles | Metrics

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The Impact of Artificial Intelligence Use on Employee Work Performance: Based on the Functional and Relational Perspectives Wei Wei, Yang Lele Management Review    2025, 37 (10): 162-173.   Abstract （184）      PDF （1381KB）（148）       Knowledge map    With the widespread use of AI in the workplace, AI has gradually become a collaborator in employees’ work and has a profound impact on employees’ behavioral performance. The impact of AI use on employees’ work performance still needs to be explored in depth. Based on social cognitive theory, this paper explores the mechanism of how AI use influences employee work performance from the functional perspective and the relationship perspective respectively. An independent research is conducted using scenario experiment method and questionnaire method. The results of scenario experiments show that AI use has a positive impact on employee work performance. The questionnaire results show that AI use has a positive impact on employee work performance through width self-efficacy, and AI use will also have a positive impact on employee work performance through process participation. Width self-efficacy and process participation play a mediating role in the impact of AI use on employee work performance. The indirect effect of AI use on employee performance through breadth self-efficacy and process participation is stronger when AI training is stronger.The research results further expand the research on the impact of AI use on employee performance, providing practical implications for employee performance management in the intelligent workplace. Reference | Related Articles | Metrics

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Research on Digital Innovation Ecosystem Governance System of Manufacturing Enterprises—Based on Dynamic Capability Perspective Xu Haiqing, Yun Lexin, Dong Xiaoyu Management Review    2025, 37 (4): 276-288.   Abstract （180）      PDF （6132KB）（220）       Knowledge map    The establishment and continuous development of a digital innovation ecosystem is an important approach to conforming to the trend of the digital economy era and promoting the rapid development and transformation of enterprises. However, few studies have focused on the significant influence of governance systems on the evolution of digital innovation ecosystems. This paper takes manufacturing enterprises as the research object and explores the development of the governance system of the digital innovation ecosystem they have established. The following conclusions are drawn: (1) The governance system of the digital innovation ecosystem, based on the hierarchical theory, goes through three stages: “strong stability governance (weak innovation governance) -stability and innovation governance synergy-strong innovation governance (weak stability governance)”. In each stage, detailed governance also has hierarchical governance capabilities. (2) Based on the dynamic capability theory, this paper studies the governance system existing in the evolution process of the digital innovation system, proposes a governance system model based on the evolution process of digital governance dynamic capabilities, and analyzes the primary and secondary levels of governance capabilities in different stages and summarizes them. This paper reveals the dynamic adjustment rules of the governance system of the digital innovation ecosystem of manufacturing enterprises. Through the coupling research of dynamic capability theory and digital innovation ecosystem theory, it expands the research boundary and provides certain guidance for manufacturing enterprises to establish the governance system of the digital innovation ecosystem. Reference | Related Articles | Metrics