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Chinese Journal of Management

	2025 Vol.22 Issue.11 Published 2025-11-01

	1981	Research on the Innovative Path of Digital Management for Service Brands: A Case Study of Country Garden Smart Communities
		ZHAO Hong，ZHANG Jingyi，YAO Ge，ZHANG Yingli
		Taking Country Garden’s smart community as the research object, and based on the “motivation—behavior—outcome”analysis framework, this research explores the digital management innovation path of service brands in the context of digital empowerment. The results show that the digital management innovation path of smart community service brands follows a three-stage pattern: the motivation stage driven by pressure and challenge identification; the action stage focusing on digital empowerment, ecosystem construction, and value co-creation; and the result stage where outcomes emerge, reflecting management innovation. Digital empowerment promotes the ecological synergy effect in service brand management innovation by linking stakeholders and forming a highly collaborative innovation ecosystem that enhances market adaptability and sustainable innovation potential. The innovation path possesses modularity and scalability, allowing firms to deconstruct and reorganize key elements, thereby achieving flexible responses and cross-industry replication.
		2025 Vol. 22 (11): 1981- [Abstract] ( 44 ) [HTML 1KB] [ PDF 2786KB] ( 129 )

	1993	Research on the Evolution Path of Enterprise Technological Innovation Ecosystem under the Situation of Technical Blockade—Based on the Case Study of Hisense Chip Technology Development
		LI Zhigang，XU Haiqing，YOU Sheng，NIU Lu，GAO Jun
		This study conducts a longitudinal case study on Hisense Group’s breakthrough in chip technology at Hisense Group, combining technology innovation ecosystem and resource orchestration theory, to explore the breakthrough path of its key core technologies. The study shows that the breakthrough of key core technologies exists in three stages, divided into three stages according to their phased innovation boundaries: the stage of local technology catch-up in the existing technology track; the stage of comprehensive technology catch-up in the existing technology track; and the stage of comprehensive technology iteration in the new technology track. Due to the differences in resources in each stage, different technological innovation ecosystem structures and resource allocation forms have been formed, namely, the basic technological innovation ecosystem structure with aggregated resource structuring as the mainstay, the breakthrough-type technological innovation ecosystem structure with coupled-type resource capacity building as the mainstay, and the disruptive technological innovation ecosystem structure with enabled resource leveraging as the mainstay.
		2025 Vol. 22 (11): 1993- [Abstract] ( 18 ) [HTML 1KB] [ PDF 4507KB] ( 97 )

	2005	The Moderation Effect in Management Research：from Statistical Significance to Practical Significance
		ZHENG Lu，WANG Lina，LONG Lirong，MENG Fanxing，Alexander Scott English
		Nowadays, management researchers commonly rely on statistical significance when testing the moderation effects. However, statistical significance is not equivalent to practical significance. This study has four purposes. First, this study described the difference between the statistical significance and the practical significance of the moderation effect. Second, this study applied the method of bibliometrics to analyze the published studies between 2011 and 2023 with reported moderation effects in four top-tier management journals in China, i.e., Journal of management world, Nankai Management Review, Acta Psychologica Sinica and Chinese Journal of Management. The results show that Chinese management researchers have paid more attention to the practical significance of the moderation effect, but the magnitude of the practical significance reported was not substantial. Third, we further introduced two analytical strategies for evaluating the practical significance of moderation effects: Deviation R-square (ΔR2) and the absolute discrepancies between the dependent variable’s predicted values from two regression models. Finally, this study illustrated the two analytical strategies for testing the practical significance of the moderation effects using the raw data of a recently published study.
		2025 Vol. 22 (11): 2005- [Abstract] ( 23 ) [HTML 1KB] [ PDF 1504KB] ( 75 )

	2018	Research on the Impact of Enterprise Digitization on Capacity Utilization
		CHEN Zili，ZHU Guilong
		From the perspective of investment efficiency, this study introduces R&D investment as a moderating variable, constructs a moderated mediation effect model, and empirically tests the relationship mechanism and influencing factors between enterprise digitization and capacity utilization. The study found that digitization can improve capacity utilization by inhibiting over-investment and alleviating under-investment, the mediating effect of investment efficiency between digitization and capacity utilization is regulated by R&D investment. Heterogeneity analysis found that the capacity improvement effect of digitization is more significant in non-ROE-owned enterprises and non-overcapacity industries.
		2025 Vol. 22 (11): 2018- [Abstract] ( 19 ) [HTML 1KB] [ PDF 1228KB] ( 84 )

	2028	Research on the Impact of Data Element Utilization on Enterprise Total Factor Productivity
		ZHU Kang，TANG Yong，ZHANG Na
		Based on the texts describing the utilization of data elements in the annual reports of listed companies in China from 2012 to 2022, this paper uses text analysis and machine learning models to measure the utilization index of enterprise data elements, and empirically empirically examines the impact of data element utilization on the total factor productivity of enterprises (TFP). The results show that the utilization of data elements significantly promotes the improvement of enterprise TFP. Mechanism analysis shows that the use of data elements can improve the TFP of enterprises through the factor allocation effect and the digital technology innovation effect. Heterogeneity analysis shows that the role of the role of data element utilization in improving the TFP of enterprises is more significant in non-state-owned enterprises, large-scale enterprises, and high-tech enterprises.
		2025 Vol. 22 (11): 2028- [Abstract] ( 16 ) [HTML 1KB] [ PDF 1294KB] ( 88 )

	2037	The Mechanism of Self-Sacrificing Leadership on Team Resilience: A Conservation of Resources Theory Perspective
		WANG Lei，QIAN Caixuan，YOU Shuyang
		Based on conservation of resources theory, this study explores the influence mechanism and boundary conditions of self-sacrificial leadership on team resilience using data collected at three time points from 215 leader-subordinate dyads across 73 teams. The results show that self-sacrificial leadership positively influences team resilience, with collective energy mediating this relationship. Team power distance moderates the indirect effect of self-sacrificial leadership on team resilience via collective energy. Specifically, compared with high power distance, lower team power distance strengthens both the positive impact of self-sacrificial leadership on collective energy and its indirect effect on team resilience. Meanwhile, team goal clarity moderates the indirect effect of self-sacrificial leadership on team resilience through collective energy. Specifically, compared with low goal clarity, higher team goal clarity enhances both the positive impact of collective energy on team resilience and the indirect effect of self-sacrificial leadership on team resilience.
		2025 Vol. 22 (11): 2037- [Abstract] ( 19 ) [HTML 1KB] [ PDF 1425KB] ( 86 )

	2048	Research on the Impact of Algorithmic Management on Employee Cooperation Behaviors in Intelligent Transformation of Manufacturing Enterprises
		LI Jin，YAO Zhuoran，QIN Weiping
		Based on Attachment and Sensemaking Theory, and addressing the contradictions between employees’ need for team belonging and “dehumanization”, as well as the game between information needs and “algorithmic black box”, this study examines the impact of algorithmic management on employees’ team cooperation behaviors. By analyzing 473 matched questionnaire responses from 37 teams operating in intelligent workshops, we found that algorithmic management-related phenomena, such as digital alienation and information opacity, stimulate employees’ social and cognitive motivations. Consequently, these motivations heighten employees’ need for belonging and information. To fulfill these needs, employees engage in more team cooperation behaviors. In other words, employees’ belonging needs and information needs mediate the influence of algorithmic management on their cooperation behaviors. Furthermore, team reflexivity positively moderates this relationship, amplifying the stimulatory effect of algorithmic management on employees’ needs and cooperation behaviors.
		2025 Vol. 22 (11): 2048- [Abstract] ( 12 ) [HTML 1KB] [ PDF 1355KB] ( 78 )

	2059	Research on the Impact of Employee Leadership Potential on Leader Delegation Under the Effect of Positive Empathy
		YU Zheng，ZHANG Xing
		Based on the traits of employees in the construction industry and applying Social Comparison Theory, this study takes employees of subsidiaries under a large-scale Chinese construction group as the research object. It empirically analyzes the mechanism by which employee leadership potential influences leadership delegation, explores the mediating effect of positive empathy, and examines the moderating effects of organizational competitive climate and core self-evaluation. The findings revealed that due to leaders’ unique resource advantages, downward comparisons can more easily yield rich psychological benefits, fostering empathy toward employees with leadership potential. This, in turn, promotes leaders’ positive delegation behaviors, enhancing employees’ sense of shared organizational interests and driving high organizational performance. Further research indicates that when the competitive climate within an organization is at a low level, subordinates’ leadership potential can effectively bridge the relational distance with senior leaders, prompting empathetic behaviors and subsequently increasing leaders’ motivation and actions toward delegation. Additionally, when leaders have a higher degree of core self-evaluation, subordinates’ high-potential leadership attributes also stimulate leaders’ high-level delegation behaviors, serving as an indirect effect of subordinates’ leadership potential.
		2025 Vol. 22 (11): 2059- [Abstract] ( 16 ) [HTML 1KB] [ PDF 1281KB] ( 79 )

	2069	Research on the Impact of Enterprise-Union Coupling Relationship on the Occupational Commitment of Online Delivery Workers
		ZHANG Yuesheng，ZHAO Wei，CUI Dengfeng，SHAN Hongmei
		Based on the theory of meaning construction(sensemaking), this study develops a theoretical model to examine the impact of the enterprise-union coupling relationship (EUCR) on the occupational commitment of online delivery workers. By analyzing data from 356 paired questionnaires collected in three stages, the study explores the underlying mechanisms and boundary conditions of this relationship. The findings reveal that the EUCR significantly enhances the occupational commitment level of online delivery workers, and its effect exceeds that of platform enterprises acting as a single subject. Work meaningfulness serves as a mediator between the EUCR and occupational commitment, while achievement motivation not only strengthens the positive relationship between the EUCR and work meaningfulness, but also enhances the indirect effect of work meaningfulness between the EUCR and the occupational commitment.
		2025 Vol. 22 (11): 2069- [Abstract] ( 14 ) [HTML 1KB] [ PDF 1357KB] ( 62 )

	2079	The Effects of Institutional Pressure on the Growth of Manufacturing Entrepreneurial Enterprises
		SHAN Biaoan，LI Bingxi，XU Yuqiao，ZHANG Yongji
		This study explores the paths and mechanisms through which enterprises achieve growth under institutional pressure by integrating new institutional theory, resource-based theory, and enterprise growth theory. Based on the data of Chinese manufacturing enterprises listed on the GEM from 2010 to 2023, this study examines the impact of institutional pressure on organizational growth and its underlying mechanism. It reveals that different types of institutional pressure（coercive pressure, normative pressure, and mimetic pressure）have a significant positive impact on enterprise growth. Moreover, R&D investment and digital transformation are identified as key influencing paths, playing a mediating role in the relationship between institutional pressure and enterprise growth.
		2025 Vol. 22 (11): 2079- [Abstract] ( 19 ) [HTML 1KB] [ PDF 1239KB] ( 60 )

	2087	Research on Multiple Driving Paths of SRDI Enterprise Co-Innovation Performance from the Perspective of Configuration
		ZHANG Haihong，TANG Menglan
		Based on the analysis framework of “technology-organization-environment”, this study adopts a configurational perspective to build a co-innovation performance driving model for Specialized, Refined, Differential, and Innovative (SRDI) enterprises. Using fsQCA method to analyze the driving effects of different antecedent conditions on co-innovation performance, this study explores the configuration path of co-innovation performance driven by internal and external factors of SRDI enterprises and examines the complementary substitution relationship between configuration conditions. The study further investigates the differences in the co-innovation performance driving mechanism across industrial chain heterogeneity node. The study finds that SRDI enterprise co-innovation performance is the result of multiple antecedent conditions spanning technology, organization and environment. There are several driving paths for SRDI enterprises, including internal technology-driven forced by complex environment, internal and external technology dual-driven supported by enterprise scale, and internal technology integration and symbiosis under the linkage of organizational environment. Among them, the driving paths between the chain owner enterprise and the on-chain enterprise are different. In addition, there are many equivalent complementary relations and substitution relations among technology, organization and environmental conditions.
		2025 Vol. 22 (11): 2087- [Abstract] ( 29 ) [HTML 1KB] [ PDF 2898KB] ( 95 )

	2097	Identification and Impact Mechanism Study of Doctors’ Work Engagement in Online Health Communities
		WU Hong，ZHANG Li
		Based on the job demand-resource model, this study uses a web crawler to obtain 10-month panel data from the Haodf.com online platform. The BERT model is employed to identify two aspects of their work engagement, “absorption” and “vigor”, based on the doctors’ actual communication texts. This study empirically examines the impact of work resources and work demands on doctors’ work engagement in online health communities and further discusses the relationship between doctors’ work engagement and performance. The research finds that there is an inverted U-shaped relationship between patient needs and doctors’ work engagement; work resources (the number of doctors offering online services in the same hospital and whether the doctor participates in an online medical team) positively affect doctors’ work engagement; doctors’ work engagement positively influences their economic performance, and this relationship is positively moderated by the complexity of the disease.
		2025 Vol. 22 (11): 2097- [Abstract] ( 16 ) [HTML 1KB] [ PDF 1493KB] ( 58 )

	2107	The Impact of Answer Quality and Respondent Social Capital on Knowledge Refinement Behavior in Technical Q&A Communities
		XIE Yuling，ZHAO Quanwu，WANG Yi
		Drawing on goal orientation theory, this study explores how answer quality and respondent social capital in technical Q&A communities influence refiners’ learning-oriented and performance-oriented motivations to drive knowledge refinement behavior, and further examines the moderating role of question quality characteristics. An empirical analysis of 74,474 Q&A data from Stack Overflow yields the following findings: a significant U-shaped relationship exists between answer quality and knowledge refinement behavior. Respondent social capital has a significant positive impact on knowledge refinement behavior. Question difficulty weakens the influence of answer quality and respondent social capital on knowledge refinement behavior, while question popularity amplifies their positive effects.
		2025 Vol. 22 (11): 2107- [Abstract] ( 16 ) [HTML 1KB] [ PDF 1521KB] ( 54 )

	2117	The Impact of IoT Platform Service Fee Models on Innovation Strategy Choices of the Smart Device Manufacturer
		LI Xiufeng，PU Xujin，GENG Xueyi
		Based on the important role of IoT platforms in the smart transformation of the manufacturing industry, a game theory model is used to explore the impact of different charging models of IoT platforms on software and hardware innovation, profits, and social welfare. The research results show that: technological spillovers promote manufacturers to improve their hardware innovation level, driving IoT platforms to enhance their service level; the service subscription pricing model can stimulate innovation investment, and when the platform’s software service efficiency is high, both manufacturers can achieve higher profits and consumer surplus; when the complementary effect of the collaboration between smart product software and hardware increases, both the IoT platform and the manufacturer will enhance their innovation levels. When the substitution effect increases, the innovation motivation of both the IoT platform and the manufacturer decreases, but since the manufacturer can gain from technological spillovers, they are more motivated to increase innovation investment in hardware.
		2025 Vol. 22 (11): 2117- [Abstract] ( 15 ) [HTML 1KB] [ PDF 1230KB] ( 72 )

	2126	A Study on the Spillover Effects of State-Owned Enterprises’ Corporate Social Responsibility Along the Supply Chain
		GU Han，WANG Rui，YU Jihai
		Drawing upon dyadic panel data of supplier-state-owned enterprise (SOE) customer relationships among Chinese A-share listed companies from 2010~2021, the study explores how SOEs drive their suppliers to fulfill social responsibilities toward multiple stakeholders. It finds that SOEs can promote their supplies to balance economic and social responsibilities, with a stronger driving effect on suppliers with higher geographical proximity. After testing endogeneity and robustness through multiple methods, the above conclusions remain valid. Further analysis reveals that the mechanisms through which SOEs drive suppliers’ social responsibility are their own demonstration level and information sharing and dissemination enabled by top management ties. Heterogeneity tests indicate that the particularities of SOEs in terms of property rights and macro policy orientation lead to heterogeneity in their driving effect; in addition, suppliers’ dependence on SOE customers, suppliers’ political connections, the administrative level of SOE customers, and regional development level can all influence the driving effect of SOEs.
		2025 Vol. 22 (11): 2126- [Abstract] ( 20 ) [HTML 1KB] [ PDF 1305KB] ( 92 )

	2137	Impact Research of ESG Performance on Corporate Fraud
		LI Qing，CHEN Lin
		Taking A-share listed firms in Shanghai and Shenzhen from 2011 to 2022 as samples, this paper studies the effect of ESG performance on corporate fraud. The results show ESG performance can inhibit fraud occurrence, reduce fraud frequency, and effectively restrain fraud. The mechanism test shows that ESG performance has changed the five drivers of fraud risk factor theory through three paths, and constrained the fraud. The first is the resource support path, which reduces financing constraints in funds and improves revenue in business. The second is the multi-dimensional governance path, which increases analysts and investors attention in external governance, inhibits executives self-interested behavior and alleviates information asymmetry in internal governance. The third is cost deterrence path, which increases revenue cost in the economic side, and increases reputation cost in the non-economic side. Expansive analysis finds that fraud constraint effect of ESG performance is more significant in firms with low information transparency, low environmental uncertainty and better market and legal environment. Moreover, improving ESG performance can also have an after-the-fact remedial effect after the fraud, reducing delisting probability and bankruptcy risk in the future.
		2025 Vol. 22 (11): 2137- [Abstract] ( 21 ) [HTML 1KB] [ PDF 1270KB] ( 83 )

	2147	Research on the Impact of Intelligent Manufacturing on Enterprise Debt Financing Cost
		XIU Zongfeng，WANG Shihao，WANG Jie，ZHANG Ying
		This study takes listed firms in China’s A-share manufacturing industry from 2007 to 2021 as research samples, and empirically examines the impact of intelligent manufacturing on the cost of corporate debt financing for the first time. The results show that intelligent manufacturing can significantly reduce debt financing costs, indicating that intelligent manufacturing empowers corporate debt financing behavior; intelligent manufacturing can reduce debt financing costs by improving the efficiency of enterprise resource allocation; productive intelligent manufacturing has a stronger inhibitory effect on corporate debt financing costs than collaborative intelligent manufacturing; intelligent manufacturing has a stronger promoting effect on short-term loans and accounts payable financing for enterprises; the inhibitory effect of intelligent manufacturing on corporate debt financing costs is stronger when corporate R&D investment is lower, and industry competition is higher.
		2025 Vol. 22 (11): 2147- [Abstract] ( 17 ) [HTML 1KB] [ PDF 1578KB] ( 51 )

	2158	Futures Price Prediction and End Effect Control Based on a Decomposition-Reconstruction Hybrid Model
		JIANG Xuchu，LI Ming，WEI Zichen，LI Bin
		This study develops a rolling forecasting model for commodity futures prices based on a decomposition-reconstruction mechanism to address challenges associated with nonlinearity, strong noise, and endpoint effects. The methodology comprises four steps: performing multi-scale decomposition on the price series using the ICEEMDAN algorithm, selecting features from each sub-sequence via Adaptive Lasso, merging the sub-sequences via an optimization algorithm for reconstruction, and building a forecasting model using an extreme learning machine (ELM). Empirical evaluations on multiple futures varieties show favorable forecasting performance in both level and directional dimensions. Additional back-testing of trading strategies demonstrates that the proposed model outperforms several benchmarks in terms of cumulative returns, win rate, and risk metrics. The results indicate that controlling endpoint effects can substantially improve the predictive performance of decomposition-prediction models and exhibit strong applicability in commodity futures markets.
		2025 Vol. 22 (11): 2158- [Abstract] ( 16 ) [HTML 1KB] [ PDF 2848KB] ( 66 )

	2169	Research on the Impact of R&D Investment on Supply Chain Resilience
		DING Xiaojuan，ZHOU Zejiang
		Taking A-share listed companies on the Shanghai and the Shenzhen Stock Exchanges from 2009 to 2022 as research samples, the study examines the impact of corporate R&D investment on supply chain resilience and its mechanism based on signaling theory and transaction cost theory. The findings reveal a significant positive correlation between corporate R&D investment and supply chain resilience. Mechanism tests indicate that R&D investment can send positive signals to stakeholders and reduce supply chain transaction costs, thereby enhancing both the resistance and recovery capacities of the supply chain and ultimately improving its resilience. A heterogeneity analysis based on the characteristics of enterprises shows that the positive impact of R&D investment is more significant in the samples with a higher degree of digital transformation and more internal R&D experience. Furthermore, the positive correlation between R&D investment and supply chain resilience is more pronounced during periods of high macroeconomic prosperity and in regions with a high degree of intellectual property protection.
		2025 Vol. 22 (11): 2169- [Abstract] ( 20 ) [HTML 1KB] [ PDF 1228KB] ( 67 )

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