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    The Impact of Global Key Shipping Channel Disruption on Supply Chain—Case Study on the Grounding of Ever Given in Suez Canal
    Li Dengyuhui, Jiao Jianbin, Wang Shouyang, Zhou Guanghui
    Management Review    2025, 37 (2): 237-248.  
    Abstract338)      PDF (10371KB)(143)      
    The safety and smooth flow of key shipping channels is a prerequisite for supply chain operations. The grounding of Ever Given led to a six-day blockage of the Suez Canal, disrupting the international trade and logistics supply chain seriously. It set the highest record for container shipping in terms of vessel tonnage, congestion degree, and economic loss. This paper scrutinizes the whole process of the grounding of Ever Given and the structural risks faced by the Suez Canal route. The impact is analyzed from the perspectives of the chain reaction of global supply chain, the international crude oil price fluctuation, large-scale congestion in ports, the rapid growth of shipping price, and impacts on China’s foreign trade. Then, this paper summarizes the implications of this blockage for global supply chain risk management, and provides guidance for impact assessment and emergency management of the possible disruptions caused by other blockages of key shipping channels.
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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.  
    Abstract320)      PDF (1242KB)(225)      
    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.
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    Measurement of Regional Green Development and Exploration of Its Spatial Network
    Su Yi, Fan Qiming
    Management Review    2025, 37 (2): 19-30.  
    Abstract307)      PDF (10618KB)(121)      
    This paper constructs a green development evaluation index system based on DPSIR model, and explores its spatial network structure on the basis of measuring regional green development level. The results are as follows. (1) Green development is not balanced among regions. The level of green development in each region can be divided into four categories: mature type, rapid development type, gradual promotion type and early growth type. Economically developed regions are more likely to generate development advantages through “response + drive”, while resource-dependent and traditional industry-intensive regions lag behind in green development due to lack of innovation. (2) In the space network, inter-regional connectivity is strong and there is no strict hierarchical structure, which is conducive to promoting inter-regional cooperation and complementarity. However, the stability of the network is weak, and a high-quality regional cooperation pattern has not yet been formed. (3) Location factors, rather than capacity factors, are the key to whether a region can occupy an important position in the space network. Compared with regions at high levels of green development, regions at low levels of green development are more likely to produce spillover effects. The research results provide ideas for further promoting high-quality green development in China. On the one hand, all regions should pay attention to the coordinated development of DPSIR elements, open up the transformation channel of “policy-response-driving force”, excavate the driving path from productivity to “pressure reduction-state improvement-green welfare”, and explore the high-quality development path according to local conditions. On the other hand, it is necessary to break the barriers between regions, give play to the role of specific regional ties, stimulate the leading role of green areas, increase support for weak green areas, build a spatial pattern of green, low-carbon and high-quality development, and promote coordinated regional development.
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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.  
    Abstract304)      PDF (11018KB)(234)      
    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.
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    Mechanism of Value Co-creation in Construction Projects with the Integrated Digital Delivery Mode: A Service Ecosystems Perspective
    Wang Guangbin, Yang Yuchen, Zhang Wenjuan, Liu Gang, Cao Dongping
    Management Review    2025, 37 (1): 257-272.  
    Abstract298)      PDF (1947KB)(136)      
    In the context of national high-quality development requirements, value-driven strategies have become a pivotal direction in professional management in construction. Integrated Digital Delivery (IDD) is an innovative execution mode for realizing value delivery in construction projects. This study focuses on the value co-creation process within the IDD mode from a service ecosystems perspective, utilizing the Structured-Pragmatic-Situational case study methodology to establish a value co-creation mechanism model. This study reveals that: (1) the value co-creation within the IDD mode is based on a service ecosystem characterized by a loosely coupled actor-to-actor oriented network; (2) institutions govern the relationships between actors across regulative, normative, and cognitive dimensions, guiding decisions and actions based on project value; (3) digital technologies enable cross-phase collaboration, facilitating the integration and simplification of project workflows; (4) interaction is a crucial antecedent to value co-creation, enabling actors to engage in each other’s value creation processes; (5) the value emergence from the heteropathic resource integration is the cornerstone of value creation within the IDD mode. This study innovatively abstracts construction projects as service ecosystems, revealing how the IDD mode facilitates value co-creation through the interplay of various elements, and making a theoretical contribution to the studies of value co-creation in construction projects and the theoretical framework of service-dominant logic.
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    Local Government Debt Expansion and Corporate Trade Credit Supply
    Wu Yuhui, Mo Yifan
    Management Review    2025, 37 (3): 3-16.  
    Abstract280)      PDF (1240KB)(159)      
    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.
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    Can Executive Opportunistic Stock Selling Restrictions Improve Stock Price Informativeness? Evidence from the “New Regulation on Insider Selling” in China
    Huang Wan, Luo Hong
    Management Review    2025, 37 (2): 3-18.  
    Abstract279)      PDF (12694KB)(163)      
    It is of great significance to effectively regulate executives’ selling behaviors to promote the long-term, stable and healthy development of capital market. Based on the “New Regulation on Insider Selling” in China and using data from A-share listed companies from 2012 to 2021, this paper investigates the impact of restricting executives’ opportunistic stock selling on stock price informativeness. The results show that restricting executives’ opportunistic stock selling can help improve stock price informativeness. This effect is more significant when the selling scale is large and when there are stock sales by core executives. Moreover, this promotion effect is also strengthened for firms that are exposed to a poor information environment and prone to manipulate information disclosure. Further analysis suggests that restricting executives’ opportunistic stock selling can promote firm-level information collection by external investors, as evidenced by wider institutional shareholdings and more attention from investors. In addition, restricting executives’ opportunistic stock selling makes a firm’s current stock price more reflective of its future earnings. The main conclusion still holds after a series of robustness tests. Overall, this paper enriches the literature on both insider trading supervision and stock price informativeness, and has enlightenment for regulatory authorities to improve the design of stock selling system and promote the high-quality development of capital market.
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    The Double-edged Effect of Perceived Algorithmic Control on Work Engagement of Gig Workers
    Luo Jinlian, Zhang Chao, Zhao Chenfang, Zhong Jing
    Management Review    2025, 37 (2): 175-186.  
    Abstract275)      PDF (11005KB)(154)      
    Based on conservation of resources theory and social identity theory, this paper builds a model to explore the mechanism of how perceived algorithm control affects the level of gig workers’ work engagement. By analyzing and testing 385 valid empirical data collected from takeout riders, online ride-hailing drivers and instant delivery workers, this paper examines the “double-edged sword” effect of perceived algorithmic control on the work engagement of gig workers. The results indicate that perceived algorithmic control has a “double-edged sword” effect on the work engagement of gig workers, perceived algorithmic control may, on the one hand, improve the role clarity of gig workers and, on the other hand, lower work engagement by causing a loss of work autonomy. Furthermore, perceived algorithmic procedure fairness may also strengthen the ability of perceived algorithmic control to improve gig workers’ work engagement through role clarity and mitigate its ability to weaken their work engagement through job autonomy, i.e., the higher the perceived algorithmic procedure fairness is, the better able perceived algorithmic control is to facilitate gig workers’ work engagement by increasing their role clarity, while the lower the perceived algorithmic procedure fairness is, the more likely perceived algorithmic control is to dampen gig workers’ work engagement by diminishing their job autonomy.
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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.  
    Abstract246)      PDF (2560KB)(122)      
    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.
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    How Startups Achieve Disruptive Innovation in the Digitalization Era: Dynamic Marketing Capability Perspective
    Wu Chunlin, Zhao Tianyue, Cao Xin, Ouyang Taohua
    Management Review    2025, 37 (1): 273-288.  
    Abstract229)      PDF (1960KB)(173)      
    The new generation of information technology has brought new opportunities for disruptive innovation. In the fiercely competitive market scenario, startups can gain mainstream market share and achieve rapid advancement through disruptive innovation. This paper conducts a vertical case study on Tiying Media, a startup company, to explore the evolutionary process and underlying mechanisms of disruptive innovation achieved through dynamic marketing capabilities empowered by digitalization. The findings are as follows. Firstly, compared to traditional disruptive innovation, in the context of digitalization, disruptive innovation in startups has leading, sharing, and leapfrogging characteristics in terms of innovation motivation, innovation process, and innovation results, and is an advanced extension of traditional disruptive innovation. Secondly, startups utilize digital resources to empower dynamic marketing capabilities, forming an integrated framework of “data absorption - data collaboration - data transformation”. Through the dynamic alignment of internal capabilities and external demands, startups drive continuous disruptive innovation. Thirdly, startups leverage digital resources to establish technological chains, business platforms, and value ecosystems, facilitating exponential growth and leading the digital transformation of the whole industry, thus achieving comprehensive and multidimensional disruptive innovation. This paper constructs a dynamic process model for achieving disruptive innovation in startups within a digital context. It not only addresses the limitations of traditional innovation theories in the era of the digital economy but also holds significant practical value for startups in seizing opportunities for digital transformation and upgrading, thereby facilitating latecomer advantages and contributing to the strategic goal of realizing “Digital China”.
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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.  
    Abstract222)      PDF (1198KB)(282)      
    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.
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    How does Business Ecosystem Drive Urban Economic Resilience:A Configuration Analysis Based on Complex Systems View
    Zhao Yunhui, Liang Yuqi, Feng Taiwen, Du Yunzhou
    Management Review    2025, 37 (2): 57-71.  
    Abstract219)      PDF (13422KB)(123)      
    Improving the urban economic resilience can help cities more effectively respond to external shocks caused by multi-dimensional and multi-type risks, and thus achieve high-quality development. Finding out how to optimize business environment to drive urban economic resilience is the key for government policy development, and also an important issue in management research. In this paper, we construct a two-dimensional construction of “risk-resistant process - industrial structure state”, and conduct a configuration analysis based on 245 cities by NCA and fsQCA methods to explain how business environment drives urban economic resilience. The study shows that: (1) single factors of business environment do not constitute the necessary condition for generating high urban economic resilience, but improving the level of public services, human resources and financial services plays an important role in generating high urban economic resilience; (2) “multiple concurrencies” of business environment factors generate diverse configurations of high urban economic resilience. To be specific, urban economic resilience is driven through the optimization or substitution of business factors. The 4 types of business environment show that there are multiple paths to generate high urban economic resilience; (3) a favorable business environment can drive industrial structure upgrading and thus drive urban economic resilience. The findings can provide important insights for Chinese cities to optimize their business environment, cope with external shocks, and shape high economic resilience.
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    How does Carbon Emissions Trading Affect the Total Factor Productivity of Enterprises?
    Li Zhiguo, Wang Jie, Wang Bohan
    Management Review    2025, 37 (2): 31-43.  
    Abstract215)      PDF (10429KB)(84)      
    Given the lack of empirical evidence from China regarding whether carbon emission trading as a typical market-driven environmental regulation mechanism can trigger the Porter effect and improve the total factor productivity of enterprises, this paper uses the method of difference in difference in differences (DDD) to design a quasi-natural experiment of the pilot policy of carbon emission trading, and applies the spatial econometrics to explore, from the micro level, the influence of carbon emission trading on the total factor productivity (TFP) of enterprises and the mechanism underlying the influence by constructing a vertical and horizontal spillover weight matrix between industries. The results show that carbon emission trading can improve the total factor productivity of enterprises and induce inter-industry policy spillover effect, and the direct impact of carbon emission trading on the total factor productivity of enterprises presents an inverted U-shaped dynamic characteristic. The impact of carbon emissions trading on the total factor productivity of enterprises has typical heterogeneity characteristics. The total factor productivity of state-owned enterprises and small-scale enterprises is affected more significantly by policies. The mechanism analysis shows that carbon emission trading can affect the total factor productivity of enterprises through R&D effect, transformation effect and cost effect. Meanwhile, the impact of carbon emission trading on the total factor productivity of enterprises is moderated by enterprises’ internal characteristics (financial mismatch, human capital) and external characteristics (administrative intervention).
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    Risk Spillover and Dynamic Conduction among Oil, Gold and Stock Markets: New Evidence from Implied Volatility
    He Meng, Zhu Xuehong, Chen Jinyu, Liao Jianhui
    Management Review    2025, 37 (1): 3-15.  
    Abstract212)      PDF (2603KB)(446)      
    The outbreak of COVID-19 has had a systematic impact on global financial markets. Based on a new perspective of implied volatility, a cutting-edge risk spillover network model is adopted to comprehensively examine the intensity, scale, and time-varying characteristics of risk spillovers among oil, gold, and major global stock markets. Then, based on the marginal spillover analysis method, the sources and dynamic transmission paths of risk spillovers among oil, gold, and stock markets are observed. The results show that there is a significant and asymmetric risk spillover effect among global oil, gold and stock markets, and the effect increased rapidly in the COVID-19 period, during which the spillover index reached its peak. The oil and gold markets are important sources of risk in the stock market, and the mainland Chinese stock market is the most important exporter of risk. After the outbreak of the epidemic, especially during the first two circuit breakers in the US stock market, the intensity of risk spillovers in the oil market and the Brazilian stock market increased sharply. With the effective control of the domestic epidemic, the mainland Chinese stock market has gradually transformed into a risk-taker.
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    Why Leader’s Trust Hurt the Relationship between Peers? Feeling Trusted and Workplace Ostracism: A Social Comparison Perspective
    Lu Hailing, Zhang Xin, Duan Guang, Wang Yongli, Yang Yang, Liu Dege, Lv Haoran
    Management Review    2025, 37 (1): 166-176.  
    Abstract209)      PDF (1306KB)(261)      
    Feeling trusted is a crucial part of trust research. Previous researches on the consequences of feeling trusted have largely developed along two paths: the first has examined the impact of feeling trusted on employees, and the second has examined the impact of feeling trusted on the relationships between employees and their leaders. However, there is no current research exploring the potential impact feeling trusted on the relationships between employees and their peers. To fill this gap, drawing on social comparison theory, we conduct an experiment and a multi-source field study to explore the effect of employees feeling trusted by supervisors on being envied by peers, which in turn influences employees workplace ostracism. Furthermore, we examine the moderating effect of perceived intraorganizational competition on the relationship between feeling trusted on being envied. We find that perceived intraorganizational competition moderates the indirect effect of feeling trusted on workplace ostracism via being envied, such that the indirect effect will be stronger and positive when perceived intraorganizational competition is high and will be weaker when perceived intraorganizational competition is low.
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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.  
    Abstract197)      PDF (1620KB)(300)      
    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.
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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.  
    Abstract196)      PDF (1501KB)(128)      
    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.
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    Research on the Influence of Uncertainty Perception on Employee Resource Crafting—Based on Cognitive Appraisal Theory
    Wu Huanwei, Sun Meiquan
    Management Review    2025, 37 (1): 127-140.  
    Abstract191)      PDF (1402KB)(125)      
    In recent years, the turbulent global environment and frequent public crises have caused many uncertainties in the work and life of employees, affecting the acquisition and utilization of their resources. Therefore, the resources crafting in specific social situations is particularly important. Based on the cognitive appraisal theory, this paper focuses on the perspective of resource, adopts the methods of linear regression and structural equation model, and explores the impact of employees’ uncertainty perception on resource crafting through different ways. The results show that uncertainty perception positively affects avoidant resource crafting through threat appraisal, and on the other hand, it affects approaching resource crafting through challenge appraisal in a turbulent social environment. Furthermore, job remodeling self-efficacy (JCSE), as a key cognitive resource, moderates the relationship between uncertainty perception and threat appraisal and challenge appraisal. This paper reveals the antecedents and process mechanisms of two resource crafting in the current turbulent and changeable social environment, and provides important reference for organizational intervention in employee resource crafting under the pressure of uncertainty.
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    Review and Perspectives in Inclusive Leadership: Based on Bibliometric Methods
    Li Yeye, Tang Ningyu
    Management Review    2025, 37 (2): 199-213.  
    Abstract190)      PDF (21806KB)(97)      
    Inclusive leadership is a leadership style that promotes and harnesses the power of diversity. In the context of employee diversity, inclusive leadership has attracted extensive attention from both researchers and practitioners as an emerging leadership style that maximizes the benefits of diversity. This paper presents a quantitative analysis of the knowledge base and research themes in inclusive leadership research, both domestically and internationally. Leveraging a sample of 330 inclusive leadership articles and 12,210 references from the Web of Science and China Knowledge Network (CNKI) databases, we employ bibliometric methods to explore annual trend, co-author analysis, geographical distribution, publication, co-citation analysis, keyword co-occurrence, and cluster analysis. The evolution of inclusive leadership research is visualized through keyword co-occurrence time zone map to compare the trajectory and trend over time (2006 to 2021) and the differences between those published in Chinese Journals and in overseas journals. Practical implications and future directions for inclusive leadership studies are discussed.
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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.  
    Abstract190)      PDF (1326KB)(126)      
    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.
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