Most Down Articles

Published in last 1 year | In last 2 years| In last 3 years| All| Most Downloaded in Recent Month| Most Downloaded in Recent Year|

Most Downloaded in Recent Month

Please wait a minute...


For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails

Select

Digital Transformation and R&D Manipulation of Manufacturing Enterprises—Restrain or Intensify R&D Manipulation? Zhu Hao, Li Lin, Cai Dan, He Jianhong Management Review    2025, 37 (3): 123-135.   Abstract （215）      PDF （1255KB）（218）       Knowledge map    In the process of accelerating digital transformation, enterprises may go to two extremes: one is to restrain R&D manipulation by using data advantages to alleviate information asymmetry and the other is to intensify R&D manipulation by worsening information asymmetry. Based on the data of China’s A-share listed manufacturing companies from 2012 to 2020, this paper examines the effect of digital transformation on R&D manipulation and the mechanism underlying the effect. The results show that the digital transformation of manufacturing enterprises can effectively restrain R&D manipulation, as evidenced by s significant decrease in their abnormal R&D investment. The mechanism test shows that digital transformation can exert “information effect” and “signal effect” to optimize information supply and strengthen market supervision, alleviate information asymmetry from inside and outside, and then restrain R&D manipulation; Heterogeneity analysis finds that this restraining effect is more significant in state-owned enterprises and high-tech enterprises where innovation information is highly asymmetric and enterprises whose executives have R&D background. Digital transformation can help manufacturing enterprises improve innovation quality by restrain R&D manipulation. This study enriches the understanding of the microeconomic results of digital transformation, and provides a reference for the government to better implement industrial policies to stimulate enterprise innovation. Reference | Related Articles | Metrics

Select

Fund "Holding Together": Performance and Crash Risk Su Zhi, He Xu, Zhang Yongji Management Review    2024, 36 (3): 30-44,145.   Abstract （198）      PDF （1462KB）（517）       Knowledge map    From 2006 to 2020, China’s mutual funds “held together” four times, each of which witnessed a process of deepening and rapid disintegration. In this paper, we take China’s open-ended active equity funds as a sample and use the funds’ shareholding matrix and industry matrix to construct a fund overlap index to study their “holding together” and its impact on them. The results show that: first of all, China’s funds have obviously similar stock portfolio and industry portfolio, funds show obvious characteristics of “holding together” and “holding together” can significantly improve the performance of funds; second, “holding together” help funds with weaker investment abilities and more conservative investment styles to achieve higher returns, but it is not conducive to funds with stronger investment abilities. Further research finds that “holding together” increases fund crash risk, which is not conducive to the stability of the securities market. The research of this paper is of great significance to the investment strategy selection of fund managers and the prevention of fund market risks. Reference | Related Articles | Metrics

Select

A Case Study on the Ecological Dominance of Technologically Leading Enterprises in Emerging Technology Innovation Ecosystems He Jianhong, Su Yuan, Li Lin, Gao Ping Management Review    2025, 37 (8): 276-288.   Abstract （190）      PDF （3323KB）（430）       Knowledge map    Enabling technologically leading enterprises to acquire and maintain ecological dominance in the emerging technology innovation ecosystem is an important measure for nurturing “chain leaders” and enhancing the autonomy of the innovation chain industry chain. However, this goal often faces challenges such as dynamic environmental changes, resource misallocation within the enterprise, and strategic misalignment. The paper, based on the “Condition-Action-Outcome” analytical approach, takes CATL as a case study, and divides the process of acquiring and maintaining dominance in the emerging technological innovation ecosystem into two stages: “riding on the wind” and “achieving long-term success.” It explores how CATL, guided by strategic thinking, orchestrates resources to acquire and sustain its dominance, and constructs a process model for technologically leading enterprises to gain and maintain dominance in emerging technological innovation ecosystems. The findings are as follows. First, the coupling of the external industrial environment and technological environment opens a window of opportunity for enterprises to develop strategic foresight and strategic symbiosis thinking based on different stages of ecosystem dominance development. Second, implementing different resource orchestration methods based on the resource differences at various development stages is key to improving resource orchestration efficiency, locking in and amplifying existing advantages, and thereby acquiring and maintaining ecosystem dominance. The research conclusions provide valuable insights for technologically leading enterprises in acquiring and maintaining dominance in emerging technology innovation ecosystems in a complex and ever-changing environment, thereby providing beneficial guidance for nurturing and growth of technologically leading enterprises. Reference | Related Articles | Metrics

Select

“Chengyi” in Brand Communications—Theoretical Construction and Scale Development of Consumers’ Perceived Sincerity Yang Sixiao, Song Kun, Lu Cheng Management Review    2025, 37 (6): 128-140.   Abstract （207）      PDF （4958KB）（456）       Knowledge map    As Chinese consumers pay more attention to the experience in brand communications, the word “Chengyi” frequently appears in consumer reviews. The marketing communication of international brands in the Chinese market is especially easy to trigger the problem of “Chengyi”. Although “Chengyi” has long been regarded as a key concept by brands, it is rich in meaning in the Eastern discourse system, and the field of marketing management lacks in-depth explanation and application of “Chengyi” from Chinese cultural roots. This study proposes the significance of Consumers’ Perceived Sincerity in brand communication. Based on the review of Confucian literature, this construct is defined formally. Using interviews and questionnaire surveys, this study develops the Consumers’ Perceived Sincerity Scale and determines its four-dimension structure. The reliability and validity of the scale are tested and prove to be well-performing. Through theoretical analysis and empirical research, the construct is distinguished from similar constructs in previous studies. In addition to providing a measure for further investigation of Consumers’ Perceived Sincerity, this study provides a new perspective and framework for brand analysis and management of marketing communications. Reference | Related Articles | Metrics

Select

The Introduction of Traffic Restriction Policy, the Shaping of Traffic Behavior and the Effect of Carbon Reduction Gao Ziming, Lv Yang Management Review    2026, 38 (3): 3-13.   Abstract （127）      PDF （1233KB）（98）       Knowledge map    The Third Plenary Session of the 20th Central Committee of the Communist Party of China has clearly put forward the goal of enhancing the system of ecological civilization and concurrently advancing carbon reduction, pollution mitigation, green development, and sustainable growth. This initiative calls for the promotion of green, low-carbon production practices alongside fostering the adoption of low-carbon living patterns. This paper focuses on the implementation of vehicle driving restrictions across different cities, employing a multi-time-point difference-in-differences approach to assess these policies' additional impact on carbon emission reductions, beyond their effects on traffic congestion and air quality improvement. Our findings indicate that such driving restrictions effectively lower overall carbon emissions by curtailing the number of vehicles used for daily commutes, dampening the public's inclination to rely on private cars, and steering them toward more environmentally friendly modes of transportation. It is noteworthy that regional economic traits, industrial composition, traffic conditions, financial frameworks, and urban layouts display varying degrees of diversity. Consequently, to bolster local mechanisms for green and low-carbon development, it is imperative to not only enforce “command-and-control” measures but also harmonize the interplay between production, lifestyle, and environmental conservation. Enhancing the public transit and road infrastructure systems and endorsing green, low-carbon travel options among the populace are critical actions towards this end. Reference | Related Articles | Metrics

Select

An Empirical Study on the Complexity of China's Real Estate Market Zhang Pinyi, Yang Juanni Management Review    2022, 34 (7): 47-56.   Abstract （323）      PDF （1301KB）（3845）       Knowledge map    The abnormal fluctuations of the real estate market and the uncertainty of the impact of economic policy adjustments on the real estate market have drawn great attention of the government and scholars. Based on the theory of complexity science, this paper uses complexity methods to study the complexity characteristics of China's real estate market by correlation dimension tests, Lyapunov index tests, dissipative entropy method and R/S analysis method. The results imply that China's real estate system has the non-linear characteristics of "spikes and thick tails" and the chaotic characteristics of inherent randomness and sensitivity to initial values. Moreover, under the monetary policy, the real estate system is in an orderly state, with the characteristics of dissipative structure, long-term memory and self-similar fractal structure. Therefore, China's real estate system cannot achieve an orderly situation by itself, and it is necessary to combine with the continuous monetary policy regulation to achieve a healthy and orderly development of the real estate market. Reference | Related Articles | Metrics

Select

Comparative Advantage of Regional Talent Dividends and Cross-regional Capital Flows: Based on the Perspective of Cross-regional M&As Zhang Mingmei, Jiang Xuanyu, Zhu Bing, Yang Yuemiao Management Review    2026, 38 (3): 28-40.   Abstract （80）      PDF （2549KB）（79）       Knowledge map    Based on the background of promoting market-oriented allocation of capital and advancing high-quality population development to support Chinese modernization, we investigate how the comparative advantage of regional talent dividends influences the orderly and free cross-regional capital flows from the perspective of corporate cross-regional mergers and acquisitions (M&As). The paper finds that: (1) The comparative advantage of regional talent dividends in target provinces significantly increases the frequency and scale of cross-regional M&As by local acquirers, indicating that population quality has become a new driving force for cross-regional capital flows in China; (2) This positive relationship becomes notably more pronounced when acquirers face critical demand for high-quality talents, especially in enterprises that are technology-intensive, highly digitalized, or possess significant industry potential, proving that talent acquisition becomes a new motivation for cross-regional M&As; (3) Talent acquisition-driven cross-regional M&As yield positive economic consequences, including the upgrading of the labor structure within acquiring enterprises and the creation of synergies from mergers; (4) A target province that has lower labor costs or impresses on acquirers for its trustworthiness will lead acquirers to expect lower integration costs and go in for talent-based cross-regional M&As. Our results contribute to the literature on regional comparative advantages and corporate cross-regional M&As by integrating the perspective of population quality. They also provide practical implications for improving talent introduction and education policies at all levels of government and for guiding the orderly and free cross-regional capital flows. Reference | Related Articles | Metrics

Select

Vertically and Horizontally: Customer Concentration, Coupling Coordination Degree and Firm Performance Shi Jinyan, Yu Conghui, Li Yanxi Management Review    2024, 36 (6): 229-242.   Abstract （263）      PDF （1692KB）（928）       Knowledge map    This research explores the impact of customer concentration (CC) on firm performance from the perspective of vertical supply chain, and further discusses the moderating effect of the coordinate interaction and competitive coercion between customers from the perspective of horizontal supply chain. Based on the data of Shanghai and Shenzhen A-share listed companies and their top five customers, the empirical results show an inverted U-shaped relationship between CC and firm performances, which is more pronounced in non-stateowned enterprises. Furthermore, we build a set of customer coupling coordination degree metrics from the perspective of major customers’ purchasing behavior, and find that the inverted U-shaped relationship between CC and firm performance is strengthened by customer coupling coordination degree. In other words, the improvement of customer coupling coordination degree will strengthen both the positive relationship between moderate concentration and firm performance and the negative relationship between over-concentration and firm performance. This paper deepens the research into the mechanism of how CC influences firm performance, and provides empirical evidence for explaining the impact of principal relationship in supply chain on firm performance from multiple perspectives. Reference | Related Articles | Metrics

Select

The Effect of Accessibility of High-speed Railway on Sustainable Urban Development Xue Bin, Chang Kexin, Liu Bingsheng Management Review    2026, 38 (3): 14-27.   Abstract （100）      PDF （1274KB）（76）       Knowledge map    As an important development field of integrated infrastructure investment and construction, high-speed railway has a profound impact on the economic and social development of cities in terms of its accessibility. To explore the impact of high-speed railway accessibility on sustainable urban development, this study constructs a sustainable urban development index system to measure the level of sustainable development of 29 cities in China from 2009 to 2020. This study adopts the spatial Dubin model (SDM) to investigate the spatial spillover effect of high-speed rail accessibility on sustainable urban development, and then uses mediating effect model and threshold effect model to reveal the transmission mechanism and threshold effect between high-speed rail accessibility and sustainable urban development. The results show that: (1) The increase in the degree of AHSR (accessibility of high-speed railway) significantly improves the SUDS (sustainable urban development score), and shows a significant spatial spillover effect; (2) The AHSR promotes the SUDS by increasing the scientific and technological expenditures, the level of labor productivity, and the density of the road network of the city; (3) The impacts of the degree of AHSR on the SUDS are non-linear, and the degree of these impacts are closely related to the threshold interval of the scientific and technological expenditures, the level of labor productivity, and the density of the road network of the city. This study puts forward policy recommendations in terms of strengthening investment in the high-speed rail industry and rationally arranging the layout of high-speed rail connections; establishing input assessment criteria to maximize the efficiency of return on investment in scientific and technological expenditures; strengthening the link effect between the development of high-speed railway and the level of labor productivity; and strengthening the impact effect of high-speed railway on the density of the road network, with a view to providing a scientific basis for sustainable urban development in the future. Reference | Related Articles | Metrics

Select

More Willing to Learn from Similar Creative Role Models? The Effects of Similarity with Creative Role Model on Employee Creativity Pan Xiaoqing, Li Bo, Zhu Renqi, Liu Zhiqiang, Pan Lin Management Review    2026, 38 (3): 130-146.   Abstract （67）      PDF （1359KB）（59）       Knowledge map    Based on the social cognitive theory, this study theorizes a cross-level moderated mediation model about the differential effects of similarity with creative role model on employee radical and incremental creativity. By conducting an experimental study of 165 participants and a multi-stage and multi-source field survey of 123 R&D teams, this study finds that the similarity with creative role model is positively related to employee radical and incremental creativity through the chain mediating effect of creative self-efficacy and creative process engagement. Besides, compared with incremental creativity, the similarity with creative role model has a stronger indirect effect on radical creativity. In addition, the findings also show that the team status promotion criteria positively moderates the indirect relationships between similarity with creative role model and radical and incremental creativity. The findings of this study provide important theoretical and practical implications for organizations to set creative role models to drive employee creativity, especially radical creativity. Reference | Related Articles | Metrics

Select

Research on the Mechanism of How Digital Empowerment Influences Service Adaptability Innovation in Manufacturing Enterprises Li Fengshu, Su Moting, Ye Jiangfeng, Liu Jingdong Management Review    2026, 38 (3): 68-79.   Abstract （80）      PDF （1370KB）（55）       Knowledge map    In the era of the digital economy, service innovation paradigms are rapidly shifting toward adaptability. Facing the challenges of a volatile, uncertain, complex, and ambiguous (VUCA) environment, manufacturing enterprises must leverage adaptive service innovation as a strategic fulcrum to build core competitiveness and advance industrial transformation and upgrading. However, existing research has not sufficiently explained how digital empowerment influences adaptive service innovation in manufacturing through multi-stage transmission mechanisms, particularly with respect to the systematic identification of key mediating pathways and boundary conditions. Grounded in dynamic capability theory, this study develops a theoretical model elucidating the impact of digital empowerment on adaptive service innovation in manufacturing enterprises. The model examines the mediating roles of strategic flexibility and supply chain agility, as well as the moderating effects of environmental turbulence. Empirical results reveal that: (1) digital empowerment exerts a significant positive influence on adaptive service innovation; (2) strategic flexibility and supply chain agility partially mediate the relationship between digital empowerment and adaptive service innovation; and (3) market turbulence positively moderates the link between digital empowerment and supply chain agility, while technological turbulence positively moderates the link between digital empowerment and strategic flexibility. By systematically uncovering the mechanisms through which digital empowerment drives adaptive service innovation, this study enriches theoretical understanding of the “digitalization-servitization-innovation” transformation pathway and offers new explanatory insights for research on the digital servitization transformation of manufacturing enterprises. Reference | Related Articles | Metrics

Select

An Analytical Framework of Derivatives Sniper Attack Risk Based on the Case Study of Tsingshan Group’s Forced Liquidation Incident in LME Nickel Xu Yang, Bu Hui Management Review    2024, 36 (2): 257-272.   Abstract （522）      PDF （3628KB）（926）       Knowledge map    The nickel futures prices on the London Metal Exchange (LME) experienced a sharp surge during the two trading days from March 7th to 8th, 2022. As a result, Tsingshan Holdings Group, a Chinese company heavily involved in nickel hedging, suffered a significant loss, which marks another risk event where a domestic enterprise participating in overseas derivative trading was targeted by international capital. This paper provides a detailed case analysis of the sniper activity among “LME nickel futures incidents”, and proposes an analytical framework for analyzing sniper events and sniper risk in the futures market from four dimensions: objective conditions, market environment, sniper strategies, and sniper motivation behind. The study reveals that the weak physical delivery capacity caused by cross-hedging became an objective condition for Tsingshan Group to be targeted, and the market environment of low-level nickel inventories triggered by geopolitical risks further limited Tsingshan Group's inventory control and delivery capacity. The design of LME contracts exposes trading positions and motivations, while the LME trading system facilitates short-term price manipulation and other sniper behaviors, allowing the inference of the using contract, timing, and price manipulation ways employed in this sniper attack. Analysis of large position reports reveals that the essence of this sniper attack may be a battle for nickel resources. Finally, this study utilizes event analysis to confirm that the sharp increase in nickel futures prices on March 7th, 2022, was driven by trading factors rather than fundamental factors. The analytical framework proposed in this research, which combines case analysis, data analysis, and empirical analysis, is of significant value in identifying sniper risks, recognizing market manipulation, and better evaluating related risks for early warning and prevention. Reference | Related Articles | Metrics

Select

Does the “Productivity Paradox” Exist in IT Investment of Chinese Manufacturing Enterprises?—An Analysis from the Perspective of Skill-biased Technical Change Fu Chenyu, Yang Yanlin Management Review    2026, 38 (3): 55-67.   Abstract （57）      PDF （1347KB）（54）       Knowledge map    Accelerating the deep integration of new-generation information technology with the real economy is an essential path to foster new quality productive forces, promote the high-quality development of manufacturing industry, and achieve new industrialization. Based on the general-purpose and skill-biased characteristics of information technology (IT), this paper analyzes the direct mechanism and complementary mechanism through which IT investment influences the total factor productivity (TFP) of manufacturing enterprises, and conducts an empirical analysis using the data of A-share listed companies in China's manufacturing industry from 2007 to 2022. Study results show that IT investment can significantly improve enterprise TFP, and there exists a complementary effect between IT investment and the structure of labor skills, which can strengthen the promoting effect of IT investment on enterprise TFP. Furthermore, heterogeneous analysis reveals that there is a strong complementary effect between highly educated labors and IT software investment, which is beneficial to improving the TFP level of non-state-owned enterprises and enterprises in strategic emerging industries. Highly skilled labors exhibit a complementary effect with both IT hardware and software investment, significantly enhancing the enterprise TFP across different ownership structures and those in strategic emerging industries. Therefore, to further leverage the critical role of IT investment in optimizing the supply structure, this paper recommends continuously promoting the deep integration of informatization and industrialization, enhancing support for enterprise IT investments, guiding enterprises to optimize resource allocation, and accelerating the development of a highly skilled workforce. Reference | Related Articles | Metrics

Select

Tunneling or Signaling? An Analysis on Big Shareholder Participation and SEO Discount Wang Huacheng, Liu Jinzhao, Gao Shenghao, Qing Xiaoquan Management Review    2020, 32 (9): 266-279.   Abstract （411）      PDF （1376KB）（504）       Knowledge map    This paper investigates the role of big shareholder in SEO pricing under different pricing mechanisms. For SEOs using fixed-price mechanism, the SEO discount is higher when big shareholders get involved and this relation is more pronounced for firms in a poor environment of corporate governance. In contrast, the discount for SEOs employing auction pricing mechanism is lower when big shareholders participate and this relation is stronger for more opaque firms. These results imply that big shareholders tunnel through suppressing offer price only under fixed-price mechanism. In auction pricing mechanism, big shareholder participation releases good signal and thus decreases SEO discount. Reference | Related Articles | Metrics

Select

Non-working Time Cyber Leisure in the Context of Digital Intelligence: Conceptualization, Measurement and Mechanisms Underlying the Leisure's Influence on Thriving at Work Zhang Lanxia, Zhao Songyan, Li Sihui Management Review    2026, 38 (3): 117-129.   Abstract （57）      PDF （2338KB）（43）       Knowledge map    In the context of digital intelligence, the boundaries between work and life are increasingly blurred, and employees need to flexibly switch roles and states in different fields and scenarios. To enhance employees' work vitality, some enterprises have used digital technology to creatively carry out the practice of non-working time cyber leisure across space and time. Although non-working time cyber leisure and its impact on employees' work and life have attracted attention from all walks of life, relevant academic results are not yet available due to the lack of clear conceptual definition and effective measurement tools. To fill this gap, this paper aims to clarify the connotation of non-working time cyber leisure, and based on grounded theory, constructs a measurement model that includes three dimensions: “social interaction communication”, “organizational value construction”, and “welfare system building”. Then, using a standard scale development process, a measurement scale for non-working time cyber leisure is developed. On this basis, based on conservation of resources theory, the positive impact of non-working time cyber leisure on employee thriving at work and the moderating role of trait mindfulness in the relationship between non-working time cyber leisure and mastery and control, problem-solving thinking and thriving at work are verified. This not only enriches the theoretical system of non-working time cyber leisure, but also provides a basis and suggestions for organizations to explore the management practices of non-working time cyber leisure. Reference | Related Articles | Metrics

Select

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 （293）      PDF （1381KB）（274）       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

Select

Modeling and Analysis of the Impact of Artificial Intelligence on Industry Innovation Jia Hongxing, He Saike, Zhang Peijie Management Review    2026, 38 (3): 108-116.   Abstract （52）      PDF （1915KB）（42）       Knowledge map    With continuous breakthroughs of Artificial Intelligence (AI) technology, governments worldwide have successively launched funding support plans and related policy support plans to drive technological innovation in various industries through the innovative momentum of AI. Exploring AI technology's development is important for the spillover effects of innovation in various industries. However, the existing work mainly focuses on qualitative analysis and local prospects, lacks data-driven in-depth modeling and quantitative analysis, and it is difficult to fully perceive the impact of AI technology on innovation in the entire industry. This paper analyzes the penetration rate of AI technology and its impact on industry innovation based on more than 30 years of patent data in the United States by constructing a patent citation network. Results show that the penetration rate of AI technology in various industries is continuously rising, and the importance of industry patents is more prominent after citing AI patents. Further layered analysis of these industry patents shows that only a small number of patents (top 20%) promote industry innovation, while the contribution of bottom patents (last 50%) to the value of industry innovation is small, and even less than patents that do not cite AI technology. These results have practical implications for governments to formulate scientific AI support plans and guide efficient allocations of social resources. Reference | Related Articles | Metrics

Select

How does Climate Risk Impact the Stock Market? —From the Perspective of Physical Risk and Transition Risk Long Wen, Wang Bingqian, He Xiaoluo Management Review    2026, 38 (2): 56-68.   Abstract （105）      PDF （2232KB）（88）       Knowledge map    In this paper, climate risk is measured from two aspects: physical risk and transition risk. Specifically, temperature, sea level, precipitation are used to measure physical risk. And LDA method is used to analyze Chinese climate policy texts, from which we extract seven policy themes and then measure transition risks through the theme intensity. Based on the Fama-French factor model, this paper finds that both physical risk and transition risk have a significant negative impact on the excess return of the stock market, and enterprises with higher carbon emission intensity have a weak ability to resist the two kinds of risk shocks, while enterprises with larger scale have a strong ability to resist physical risk and a weak ability to mitigate transition risk. From the perspective of different climate risks degree, enterprises may be more susceptible to the impact of transition risk when facing high physical risk, and this negative impact is 5 times stronger than when they face low physical risk. This paper further explains the main effect with market expectations. The results show that the negative impact of physical risk is amplified by the effect of investors’ pessimistic expectations, while in the confront of transition risk, this effect and the information disclosure effect play a hedging role. Reference | Related Articles | Metrics

Select

The Effect of Charismatic Leadership on Followership: A Moderated Mediation Model Jia Jianfeng, Niu Xueyan, Zhao Ruonan, Li Zhigang Management Review    2021, 33 (6): 181-191.   Abstract （574）      PDF （1244KB）（1083）       Knowledge map    With the flat development of organizations and the embodiment of the value of human capital, employees’ followership has increasingly become a key to enhancing enterprise competitiveness and maximizing corporate benefits. As an influential factor, charismatic leadership style plays an important role in inspiring followership. Based on the conservation of resources theory, this research collects a sample of 223 employees’ data by questionnaire at three time points. Hierarchical regression and bootstrap are adopted to reveal the relationship between charismatic leadership and followership, the mediating effect of psychological availability and the moderating effect of perceived human resource management strength, thus building a moderated mediation model. The research shows: Firstly, charismatic leadership has a positive influence on followership. Secondly, psychological availability partially mediates the relationship between charismatic leadership and followership. Thirdly, perceived human resource management strength plays a positive moderating role between charismatic leadership and psychological availability. Fourthly, perceived human resource management strength also moderates the mediating role of psychological availability. The research results not only confirm the mechanism of charismatic leadership on followership, uncover the black box of influencing process and discover the boundary conditions, but also enrich the utilization of conservation of resources theory. At the same time, this research provides practical enlightenment for managers to develop charismatic leadership style in organizational situations to enhance employees’ followership. Reference | Related Articles | Metrics

Select

Does Local Government Innovation Attention Promote the Development of New Quality Productivity of Enterprises? Xu Yan, He Luyao Management Review    2026, 38 (3): 80-94.   Abstract （60）      PDF （1299KB）（41）       Knowledge map    This paper utilizes data from A-share listed companies and prefecture-level cities from 2015 to 2022 to construct indicators for local government innovation attention and enterprises' new quality productive forces, exploring the effects and mechanisms through which local government innovation attention empowers the development of enterprises' new quality productive forces. The findings reveal that “rule-based” local government innovation attention promotes the development of enterprises' new quality productive forces. Mechanism analysis shows that “rule-based” local government innovation attention facilitates the development of enterprises' new quality productive forces through four channels: optimizing the innovation environment, advancing industrial modernization, strengthening fiscal incentives, and enhancing talent support. Heterogeneity analysis indicates that “rule-based” local government innovation attention has a more pronounced effect on enterprises with low financing constraints, high resource allocation efficiency, and high supply chain efficiency. Further analysis demonstrates that improving both the external environment (including economic policy, market competition, and green governance) and the internal environment (such as ownership structure and organizational management) amplifies the promoting effect of “rule-based” local government innovation attention on the development of enterprises' new quality productive forces. Reference | Related Articles | Metrics