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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 （429）      PDF （1198KB）（314）       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 （361）      PDF （1242KB）（251）       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 （343）      PDF （11018KB）（258）       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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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 （249）      PDF （1620KB）（406）       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 （242）      PDF （1215KB）（155）       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 （239）      PDF （1501KB）（140）       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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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 （226）      PDF （1326KB）（157）       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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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 （225）      PDF （1750KB）（174）       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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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 （224）      PDF （1334KB）（196）       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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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 （218）      PDF （1185KB）（192）       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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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 （217）      PDF （1381KB）（186）       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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A Study on Predicting Green Credit Default Risk of Publicly Listed Companies through a Hybrid Deep Learning Model Chen Wei, Zhou Quanshi, Chen Zhensong, Yao Yinhong Management Review    2025, 37 (9): 27-41.   Abstract （200）      PDF （2649KB）（123）       Knowledge map    In recent years, green credit has played an increasingly important role in promoting the construction of China’s green financial system and facilitating high-quality economic development. However, default activities of listed companies in green credit may pose a trust crisis in the financial market and hinder the achievement of the "dual carbon" goals. Therefore, accurately identifying and predicting the green credit default risk of listed companies has become a focus in both academia and the industry. To address this, this paper first constructs a comprehensive measure of default risk, by incorporating the proportion of green credit defaults and the credit ratings of entities. And we process feature engineering by excavating the characteristics of green credit data for listed companies. Subsequently, a hybrid deep learning model, named AE-MACNN-LSTM, is designed by incorporating an AutoEncoder mechanism and various neural networks to predict the green credit default risk of listed companies. Finally, an empirical test is conducted based on samples of A-share listed companies in China. The results indicate that the proposed method achieves significant improvements in multiple evaluation metrics, such as high recall rates and AUC values. This research provides a novel perspective for identifying and mitigating the green credit risk of listed companies, offering valuable insights for the government and investors to timely grasp the dynamics of corporate green credit. Reference | Related Articles | Metrics

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The Double-edged Sword Effect of the Use of Intelligent Machines on Employees'Work Engagement: A Stereotype Content Model Approach Zhan Xiaojun, Zhou Wenjun, Wang Tao Management Review    2025, 37 (5): 180-190.   Abstract （197）      PDF （2002KB）（163）       Knowledge map    The usage of intelligent machines (AI, robots, and algorithms) has changed the way employees work. Given the workplace complexity arising from the interaction between employees and intelligent machines, it is critical to understand how the usage of intelligent machines on their work engagement. Based on the stereotype content model, this study explores the double-edged sword effect of employees' perception of the usage of intelligent machines on their work engagement through 325 valid samples. The results show that for employees with low AI identity, the usage of intelligent machines reduces their warmth perception, thus inhibiting their work engagement; for employees with high AI identity, the usage of intelligent machines enhances their competence perception, thus promoting their work engagement. This paper opens the black box of the mechanism of how the usage of intelligent machines influences employees' work engagement and broadens the research field of stereotype content model, thus helpful for organizations to effectively combine intelligent machines with employee work, for employees to reasonably recognize intelligent machines, and for both organizations and employees to benefit from succeed artificial intelligence. Reference | Related Articles | Metrics

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Institutional Foundations and the Spark of Innovation: A Commentary on the 2025 Nobel Prize in Economics Liu Meng, Liu Xielin Management Review    2025, 37 (10): 3-9.   Abstract （188）      PDF （1163KB）（155）       Knowledge map    This paper provides a systematic review of the foundational contributions made by Joel Mokyr, Philippe Aghion, and Peter Howitt, the 2025 Nobel laureates in Economics, to the understanding of “innovation-driven economic growth”. The three scholars jointly constructed a systematic framework for understanding how innovation drives economic growth from different dimensions: Mokyr, adopting a historical perspective, profoundly revealed the importance of the institutional environments and cultural beliefs that sustain innovation, emphasizing the foundational role of an open knowledge ecology and a culture of growth in nurturing sustained innovative dynamism; meanwhile, Aghion and Howitt, building on the Schumpeterian growth model, transformed the insight of “creative destruction” into verifiable micro-mechanisms, articulating the inverted-U relationship between competition and innovation and the “escape-competition effect”, which means firms engage in “quality‐ladder” type innovations in pursuit of monopoly rents, thereby constructing a dynamic balance between creation and destruction. Their research inherits and extends the theoretical traditions of Solow, Romer, Schumpeter, and the institutional school, collectively demonstrating that sustained economic growth depends on an ecosystem that fosters innovation, tolerates failure, and ensures the free flow of knowledge. The institutional implications for China’s new era of innovation-driven high-quality economic development are as follows: To achieve a strategic shift from the “catch-up paradigm” to the “frontier paradigm”, it is necessary to move beyond simply increasing research and development investments. The focus must be on fostering a culture that encourages exploration, establishing a fair and competitive market mechanism, and implementing tailored industrial policies that align with different stages of development. These efforts will lay a solid institutional and cultural foundation for leading innovation. Reference | Related Articles | Metrics

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Digital Intelligence-driven Retail Ecosystem Model and Its County-level Practice: The Case of Yidu Tian Xin, Lu Zhaoxu, Ren Jianing, Tao Ye, Sheng Huizhan Management Review    2025, 37 (5): 265-276.   Abstract （185）      PDF （1660KB）（178）       Knowledge map    Analyzing the chain retail business models under the commercial environment of a county and promoting the digital and intelligent transformation of local retail enterprises is helpful for the county's economic growth, labor employment, and the cultivation of new quality productive forces in retail. We take the fat headquarters-thin store model, virtual retail model, and ecosystem retail model based on virtual business theory as the theoretical framework, and conduct a case study on Yidu, the only county-level retail enterprise that ranks among the top 20 convenience stores in China. We systematically summarize the business model of county chain convenience stores from the perspectives of development strategy, site selection, assortment management, data decision-making, community group buying, and business intelligence of chain retail operations. On this basis, we propose a retail ecosystem model driven by data and intelligence. Our research findings transcend the limitations of traditional convenience store theory, which posits that convenience stores are primarily concentrated in core urban areas and developed regions. We also expand the research on county-level retail, business ecosystems, and new quality productive forces in retail. In this way, we provide retail business models and a path for counties to accelerate the development of the distribution industry, promote labor employment, and drive regional economic growth. 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 （184）      PDF （6132KB）（238）       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

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The Formation Path and Mechanism of Cross-border Integration of Business Models in the Context of Digital Transformation: Hybrid Research Based on Grounded Theory and fsQCA Wang Bingcheng, Sun Yuxin, Zhao Jingyi Management Review    2025, 37 (5): 277-288.   Abstract （180）      PDF （1326KB）（214）       Knowledge map    Digitization has blurred industry boundaries and promoted industrial integration. Many enterprises choose to gain competitive advantages through cross-border integration of multiple business models. However, existing researches lack a systematic analysis of its driving factors and formation paths. This paper first uses classical grounded theory to extract the driving factors for cross-border integration of business models in the context of digital transformation, and then uses a combination of NCA and fsQCA methods to configure and analyze these factors, in order to explore the formation path and mechanism of cross-border integration of business models in the context of digital transformation. The findings are as follows. (1) The cross-border integration of business models in the context of digital transformation is influenced by resource and capability factors such as unabsorbed slack resources, cross-border knowledge search and digital technology embedding, external environment insight, organizational coordination flexibility and employee skill malleability; (2) The above six factors cannot constitute the necessary conditions for cross-border integration of business models, but improving external environmental insight and cross-border knowledge search level plays a relatively universal role in achieving cross-border integration of business models; (3) There are four groupings that drive the cross-border integration of business models, which can be categorized as stepby-step, employee-technology matching, rapid advancement, and flexible response based on the extension of employees' skills, led by the dual elements of cross-border knowledge resources and environmental insights. The research conclusion provides systematic thinking and useful insights for enterprises on how to achieve cross-border integration of business models in the context of digital transformation. Reference | Related Articles | Metrics

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An Investigation of the Inverted U-Shaped Relationship between Digital Transformation and Top Management-Employee Pay Dispersion Li Conggang, Chen Meng, Xu Rong Management Review    2025, 37 (6): 27-39.   Abstract （179）      PDF （1393KB）（136）       Knowledge map    Grounded on the optimal contract and organizational change perspectives, this study investigates the effect of digital transformation on top management (TM)-employee pay dispersion. Based on the data from Chinese listed companies between 2007 and 2020, the results reveal an inverted U-shaped relationship between digital transformation and TM-employee pay dispersion. Besides, this inverted U-shaped relationship is strengthened by enterprise-employee relationship, that is, the stronger the enterprise-employee relationship, the steeper the inverted U-shaped relationship. Further deconstruction analysis shows that TM pay increases linearly with increasing levels of digital transformation, whereas employee pay decreases first and then increases with increasing levels of digital transformation, showing a U-shaped relationship. Our findings deepen the understanding of common prosperity in digital transformation. Reference | Related Articles | Metrics

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Costs of Bottom-line Mentality: The Cross-level Effect of Supervisor Bottom-line Mentality on Employees’ Performance Zhang Lei, Yang Hongtao, Yao Nan, Shi Hangyu Management Review    2025, 37 (8): 155-166.   Abstract （179）      PDF （1241KB）（111）       Knowledge map    The narrow cognitive mode of supervisor bottom-line mentality in the workplace has increasingly garnered attention due to its destructive nature. The effectiveness of supervisors’ bottom-line mentality at the team level in predicting employees’ individual-level work performance warrants investigation. This study utilizes the affective events theory to develop a cross-level moderated mediation model. Employing a paired sample comprising 64 supervisors and 300 employees, this study investigates the relationship between supervisor bottom-line mentality and employees’ work performance, emphasizing the mediating influence of employee anger and the moderating impact of team mindfulness. The findings indicate that supervisor bottom-line mentality has negative effects on employees’ work performance. Employee anger plays a mediating role in the relationship between supervisor bottom-line mentality and employees’ work performance. Team mindfulness negatively moderates the impact of supervisors’ bottom-line mentality on employee anger. Furthermore, the indirect relationship above is negatively moderated by team mindfulness such that such a relationship is weakened when team mindfulness is high. Reference | Related Articles | Metrics

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How does the Digitalization of Business Model Elements and Their Governance Co-create Value? A Case Study of Beike's “New Living” Model Jiang Jihai, Zhang Xue Management Review    2025, 37 (4): 265-275.   Abstract （176）      PDF （1246KB）（118）       Knowledge map    Digital technology drives business model innovation and facilitates the digitalization of business model elements to co-create value. Therefore, it is essential and urgent to depict the digitalization process and governance mechanisms. This paper uses case study method to explore the process of digitalization of business model elements and mechanism of data governance for value co-creation from the perspective of transaction structure and the practice of Beike. The findings are as follows. First, the digitalization process of the “New Living” model’s elements-houses, customers, and agents-exhibits distinct characteristics, namely authenticity and visualization, labeling and identification, professionalism and measurability, respectively. Second, data governance coupled with combined elements reshape the interaction relationship between houses, customers, and agents through different mechanisms to achieve value co-creation. Finally, data are governed through four paths: transactional relationship, informational relationship, interactional relationship, and cooperative relationship. Specifically, transactional relationship co-creates value by meeting customer needs through intelligent recommendations and scenario extensions; informational relationship improves industry efficiency through dynamic matching and resource sharing; interactional relationship enhances the professionalism of service providers through service upgrades and trust-building; and cooperative relationship maximizes resource benefits through standardization and collaborative cooperation. Reference | Related Articles | Metrics