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    The Relationship among Proactive Personality, Knowledge Sharing and Employee's Innovation Behavior
    Zhang Zhengang, Yu Chuanpeng, Li Yunjian
       2016, 28 (4): 123-133.  
    Abstract1478)      PDF (1110KB)(5407)      

    Based on the two cognitive perspectives:individual and situational characteristic, this paper tests the relationship among proactive personality, knowledge sharing and employee's innovation behavior using multiple regression analysis of linear models through 199 staffs' questionnaire surveys. In addition, based on trait activation theory, innovation climate's moderating effect between the relationship of proactive personality with knowledge sharing and employee's innovation behavior is also tested. Results of the regression analyses suggest that proactive personality has a positive impact on the employee's innovation behavior, and knowledge sharing has a moderating role between proactive personality and employee's innovation behavior. The results also show that innovation climate negatively moderates the relationship of proactive personality with knowledge sharing and employee's innovation behavior. Higher innovation climate weakens the proactive personality's positive influence to knowledge sharing and employee's innovation behavior. These results further support the basic idea of the trait activation theory. Therefore, creating a good innovation climate to make up the "inadequate" of employee's initiative is a feasible path for managers.

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    To Disperse or to Concentrate: Customer Concentration and Firm Performance
    Zhao Shan, Li Guihua
    Management Review    2023, 35 (2): 294-305.  
    Abstract557)      PDF (1279KB)(960)      
    Maintaining the relationship with major customers is one of the important sources for firms to obtain competitive advantages and high profits. However, financial dependence and resource allocation for a few major customers may lead to suboptimal results for the overall performance of firms. Based on the data of A-share listed companies in Shanghai and Shenzhen from 2008 to 2017, this paper empirically tests the relationship between customer concentration and firm performance and the potential mechanism of internal and external factors on the relationship. The results show that customer concentration has a negative impact on firm performance; the relationship-specific investment and industry competition degree both aggravate the negative impact of customer concentration on firm performance; by dividing listed companies into state-owned companies and non-state-owned companies according to the ownership, the study further finds that the negative impact of customer concentration on the performance of non-state-owned enterprises is significantly higher than that of state-owned ones. The research results provide theoretical leverage and practical reference for firms to implement customer relation management and resource allocation decisions.
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    U-shaped Curve Relationship between Guanxi and Performance and the Moderating Effect of Marketization Process
    Lu Tingyu, Zhang Xubing, Zhou Yuting, Zhuang Guijun, He Yong
    Management Review    2025, 37 (7): 141-153.  
    Abstract159)      PDF (1333KB)(174)      
    Building on institutional theory, this paper examines the impact of distributor-supplier interpersonal guanxi and government-business guanxi on sales performance, as well as the moderating roles of government information transparency and the marketization index. Drawing on 223 paired survey responses from distributors and suppliers in a business-to-business context, as well as government information transparency, marketization index and gross sales, the authors reach following conclusions. First, there is an inverted U-shaped relationship between interpersonal guanxi and sales performance, while government-business guanxi exhibits a U-shaped relationship. Second, government information transparency strengthens the inverted U-shaped relationship between interpersonal guanxi and sales performance, while the marketization index weakens this effect. Third, government information transparency enhances the U-shaped relationship between government-business guanxi and sales performance, while the marketization index weakens this effect. Additionally, we discuss the theoretical contributions, practical implications, limitations, and future research directions.
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    The Influence of Enterprise Negative Events on Brand Extension Evaluation: The Mediating Effect of Perceived Sense of Betrayal
    Li Yalin, Jing Fengjie
       2016, 28 (11): 129-139.  
    Abstract476)      PDF (1130KB)(1355)      

    Given the increasing occurrence of enterprise negative events, the paper explores how different types of enterprise negative e-vents affect consumers' evaluations of brand extension through the mediator variable of the consumers' perceived sense of betrayal as well as the regulation effect of the psychological distance and brand fit. The research finds that different type of negative events has quite different influence on consumers' evaluations of brand extension through the mediator variable of the consumers' perceived sense of be-trayal. While a subsequent study finds that the psychological distance and brand fit have regulating effects, indicating that closer psycho-logical distance leads to higher perceived sense of betrayal. But the brand fit has some protective effect and it reduces the effects of per-ceived sense of betrayal on brand extension evaluation, i.e. the lower the brand fit is, the smaller effect the perceived sense of betrayal will have on brand extension evaluation.

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    An Empirical Study on the Impact of Online Reviews on Consumers' Purchasing Intention
    Du Xuemei, Ding Jingyu, Xie Zhihong, Lei Lifang
       2016, 28 (3): 173-183.  
    Abstract1460)      PDF (1331KB)(8639)      

    Online word-of-mouth (WOM) has been playing an increasingly important role in consumers' purchasing decisions for the reason that Internet has greatly amplified the influence of WOM on consumers. This paper researches the online review which is one of the main forms of online WOM. It firstly develops a conceptual model for online reviews' power on consumers' purchasing intention which includes the receiver professional ability as the control factor, then raises corresponding hypotheses. Finally, the model and the hypotheses are tested and revised by empirical methods. The results of this paper show factors of functional value including the quantity, the quality and the titer of the comments affect consumers' purchasing intention positively. Besides, factors of receiver's mental representations including perceived risk, involvement and trust propensity have positive influence on online reviews' power on consumers' purchasing intention. Meantime, the receiver professional ability adjusts the relationships between the quality as well as the quantity of the comments and consumers' purchasing intention, but not the relationship between perceived risk and consumers' purchasing intention.

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    How to Make Your WeChat Brand Posts Popular?——Empirical Evidence from Well-known Brands
    Peng Chenming, Zhang Sha, Zhao Hong
       2016, 28 (12): 176-186.  
    Abstract397)      PDF (1148KB)(897)      

    WeChat is the largest and youngest mobile social networking app in China. Due to its massive number of users, high user stickiness, and low marketing costs, many companies have used WeChat as a new communication tool to push branded posts to their subscribers. Compared to other social media sites such as Facebook, WeChat is relatively new and has unique features. Thus, there are too few theories that guide companies to implement effective WeChat communication strategies. Based on 334 WeChat posts from 8 wellknown brands across 4 industries, this study investigates possible drivers of WeChat post popularity (measured by the number of reads/likes). Our results show that how a post is positioned, how long it is posted, and how informative it is affect both the number of reads and the number of likes. The presence of promotional information in the post title only affects the number of reads. We also find a marginal significant negative effect of the (warm) color of the cover picture on the number of reads. However, vividness and entertainment do not have a significant effect on WeChat post popularity.

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    Literature Review on Multilateral E-commerce Platforms: Theoretical Evolution, Regulatory Focus, and China's Issue
    Duan Litao, Lu Chaonan, Li Sirui, Peng Geng, Lv Benfu
    Management Review    2023, 35 (11): 179-193.  
    Abstract450)      PDF (1861KB)(359)      
    Multilateral e-commerce platforms have penetrated into all walks of life, but there are relatively few theoretical studies on multilateral e-commerce platforms. We first review the development of platform theory. Platform theory originated from the study of two-sided market, and then with the development of Internet technology, the research focus gradually shifted to multilateral e-commerce platform. At present, the research on multilateral e-commerce platforms still lacks a systematic theoretical framework, and mainly focuses on explaining the new phenomena and problems accompanying multilateral e-commerce platforms. On the basis of summarizing the literature, this paper summarizes the focus of research on the regulation of multilateral e-commerce platforms according to some realistic performances:price discrimination, algorithm collusion and platform monopoly, and puts forward two main problems faced by China's multilateral e-commerce platforms. Finally, this paper summarizes the research status of platforms at home and abroad, and puts forward three issues for future research on multilateral e-commerce platforms:the definition of platform boundary, the governance of platform economy and the anti-unfair competition regulation.
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    Mitigating Turnover Intention Caused by Perceived Overqualification: The Three-order Interaction of Organizational Belongingness and Need of Belonging
    Chen Lanlan, Jiang Xinhui, Wang Maolin, Wang Yanling, Chen Nannan
    Management Review    2024, 36 (6): 169-182.  
    Abstract301)      PDF (2312KB)(262)      
    The present research shifts the eyesight to need of relatedness, proposing that organizational belongingness can effectively buffer the impact of perceived overqualification on turnover intention. The job embeddedness model provides a theoretical basis for developing this hypothesis. Furthermore, drawing upon a “needs-supplies fit” perspective, the research identifies the boundary condition of the moderating effect - specifically, the level of an employee’s need of belonging. This leads to the development of a three-order interaction model. The expected significant three-order interaction is found in Study 1. In contrast to Study 1, Study 2’s sample consists of 261 factory workers with different education levels. Moreover, Study 2 supports the notion that turnover intention can predict objective voluntary quitting one year later. This study contributes new theoretical and practical implications for reducing the turnover tendency among employees with high perceived overqualification.
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    The Mechanism of How Organizational Green Culture Influences Firm Frugal Innovation: The Role of Green Supply Chain Learning and Green Organizational Identity
    Ye Jiangfeng, Qin Weiwang, Hao Bin
    Management Review    2024, 36 (6): 146-156.  
    Abstract300)      PDF (1761KB)(399)      
    Frugal innovation, as a new innovation paradigm under resource-constrained situation, can avoid excessive consumption of production resources and ecological environment. It promotes firms’ value innovation and social sustainable development, facilitating the realization of the “carbon neutral and carbon peak” target. Although the practice and study of frugal innovation have been actively carried out, the formation mechanism of frugal innovation need to be further explored. Based on the survey data of 224 questionnaires from manufacturing firms in the Yangtze River Delta region, this study aims to determine the impact of organizational green culture on frugal innovation and thus proposes a moderated mediation model to explore the mediating effect of green supply chain learning (green supplier learning and green customer learning) and the moderating effects of green organizational identity in the above process. The results show that organizational green culture has a significant positive impact on frugal innovation. Green supplier learning and green customer learning mediate the relationship between organizational green culture and frugal innovation. Green organizational identity positively moderates the mediating effect of green supplier learning and green customer learning on the relationship between organizational green culture and frugal innovation. This study enriches and deepens the application of organizational culture theory, organizational learning theory and organizational identity theory in firms carrying out frugal innovation, and provides an unprecedented insight into the formation mechanism of frugal innovation.
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    Investment Strategy of Cryptocurrency Market Based on Disposition Effect and Momentum Effect
    Liu Shuai, Fang Yong, Wang Shouyang
    Management Review    2024, 36 (6): 94-106.  
    Abstract288)      PDF (1433KB)(258)      
    This paper selects capital gains overhang as a proxy variable for disposition effect, using public data and measurement methods to empirically test and confirm the existence of disposition effect and momentum effect in the cryptocurrency market. Three types of investment strategies have been designed for an investment pool that contains only cryptocurrency assets and no other traditional assets under the guidance of disposition effect and momentum effect. The investment targets of this paper are not only some cryptocurrencies with large market capitalization, such as Bitcoin and Ethereum, but more varieties, accounting for more than 95% of the total market value of all cryptocurrencies. Under various parameter settings, the investment strategy that combines these two effects outperforms any strategy based on a single effect, and the three types of investment strategies directed by investor irrational behavior guidance are all better than the equal weight model which are robust and universal. In particular, this paper also discusses the duration of the momentum effect and disposition effect in the cryptocurrency market, the parameter selection of capital gains overhang and the ordering period parameter setting of the momentum strategy. It is found that the cryptocurrency market changes faster than the stock market, and the iteration cycle is shortened a lot. In addition, the momentum effect lasts no more than two weeks and the impact of disposition effect on the rate of return are within half a month in the cryptocurrency market. It is only valid to use daily data or higher frequency data to calculate the amount of capital gains overhang and to conduct back-testing to test the existence of disposition effect. On the contrary, the use of low-frequency weekly data is invalid. When the ordering period of the momentum strategy exceeds half of the duration of the momentum effect, the momentum strategy is not significantly affected by the ordering period parameter.
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    Rookie Independent Directors and Stock Price Crash Risk
    Cao Feng, Zhang Xueyan
    Management Review    2023, 35 (8): 268-282.  
    Abstract353)      PDF (1317KB)(406)      
    Rookie independent directors (RIDs) refer to those who serve as independent directors for the first time and lack experience in the board of directors. Will they lead to ineffective supervision due to their lack of independence and experience or lead to more effective supervision because they are motivated to build personal reputation and more independent? This paper explores the above questions from the perspective of stock price crash risk which has a significant impact on the capital market and investors and can comprehensively reflect the supervision effect of the RID. Research findings:RIDs increase the risk of stock price crash. Further analysis shows that when RIDs have industry expertise, a not very busy schedule, an academic background, overseas experience and exposure to a strict legal environment, their positive impact on the stock price crash risk is weakened. The mechanism test shows that poor performance of RID (as evidenced by their lack of dissenting voices or resulting in lower quality of corporate information disclosure), which is the path through which RIDs influence the risk of stock price crash. On the one hand, this study enriches the literature on the RIDs and stock price crash risk. On the other hand, it has enlightening significance for deeply understanding the governance behavior and effect of RIDs, improving the mechanism of selecting and hiring independent directors, and promoting the steady and healthy development of capital market.
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    Interpersonal Trust and Knowledge Hiding Behavior: The Joint Moderating Effects of the Personal Reputation Concern and Perceived Uncertainty
    Wang Peng, Zhu Fangwei, Song Haoyang, Bao Xiaona
       2019, 31 (1): 155-170.  
    Abstract759)      PDF (1395KB)(1008)      

    Inhibition of knowledge hiding is a prerequisite to achieve benign knowledge interaction between employees in an organization. Existing researches on knowledge hiding mainly focus on the impact of hiding behavior, with little quantitative study of its antecedent variables. Based on the convergence perspective of the knowledge-based view, social exchange theory, this paper analyzes the impact of interpersonal trust on the knowledge hiding behavior, and verifies the moderating function of personal reputation concern and uncertain perception (environment uncertainty, motivational climate uncertainty, personal competency uncertainty). By a questionnaire survey to 450 employees from 267 companies in Liaoning, Shandong, Beijing and other provinces and municipalities, the authors empirically analyze 396 pieces of valid data. The result shows that:interpersonal trust can inhibit knowledge hiding behavior; personal reputation concern and perceived uncertainty play a remarkable moderating role in the interpersonal trust and knowledge hiding. Personal reputation concern, environmental uncertainty and motivational climate uncertainty have a remarkable joint-moderating effect on the relationships between interpersonal trust and knowledge hiding, but not on the personal competence uncertainty. The results are of certain significance in guiding the decision-making and management of knowledge hiding behavior.

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    Research on the Construction Mechanism of Data-driven Dynamic Capabilities of Traditional Manufacturing Enterprises: Based on the Case Study of Digital Practice of Wahaha Group Co., Ltd.
    Chen Yu, Chen Yantai, Xie Fuji
    Management Review    2023, 35 (10): 340-352.  
    Abstract529)      PDF (1421KB)(1265)      
    Traditional manufacturing enterprises are facing both new opportunities and challenges in the digital environment. How to build data-driven dynamic capabilities is the key to the success of traditional enterprise transformation. Taking Hangzhou Wahaha Group Co., Ltd. as a case study, this paper discusses the construction mechanism of data-driven dynamic capabilities. There are some main findings as follows. First, the data-driven dynamic capabilities of traditional manufacturing enterprises are composed of four dimensions: data-driven opportunity perception capability, data-driven industrial chain synergy capability, data-driven organizational transformation capability and data-driven value ecosystem capability. Second, these four capabilities can be subdivided into 13 main categories. Third, these four capabilities are progressive and mutually reinforcing. Among them, data-driven opportunity perception capability is the basis and prerequisite. Data-driven industrial chain synergy capability is the key and means of implementation. Data-driven organizational transformation capability is the guarantee and the supporting condition. Data-driven value ecosystem capability is leverage, with an amplification effect. The contribution of the paper is that a four-dimensional analysis framework is proposed, then the sources and interaction mechanisms of different dimensions are deeply analyzed. The conclusion of the paper has implications for how traditional manufacturing enterprises should carry out digitalization and transform digital resources into their data-driven dynamic capabilities.
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    The Double-edged Sword Effect in Organizational Behavior Research: Typical Patterns and Strategy Suggestions
    Zhang Jiaojiao, Luo Wenhao
    Management Review    2022, 34 (9): 195-207.  
    Abstract632)      PDF (1371KB)(2120)      
    Mainstream organizational scholars tend to look at either the positive or negative influence of independent variables on dependent variables. However, this simple approach contrasts with the complicated phenomena in management practices. It is also less conducive to the meaningful integration of different studies. As a result, research on the double-edged sword effect has emerged in recent years. Though there are increasing studies examining the double-edged sword effect, it is worth noting that the interpretation of the effect remains unclear, the underlying mechanism is ambiguous, and the corresponding research pattern is often inappropriately used. By systematically analyzing 137 organizational behavior studies demonstrating the double-edged sword effect in both Chinese and English, this study clarifies the nature of the double-edged sword effect, identifies two major motives for conducting research on the topic, and classifies the existing research pattern into three main types (direct effect, indirect effect and moderating effect) and six sub-types. This study also offers five explanations of the potential theoretical basis for research on the double-edged sword effect. Finally, we offer practical suggestions for future researches. The present study is expected to demonstrate the potential contribution of researches on the double-edged sword effect, and to inspire more valuable future studies.
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    The Path Mechanism of Regional Digital Computing Power Affecting the Total Factor Productivity of Enterprises—An Analysis from the TOE Perspective
    Du Yang, Zhong Meirui, Xu Jun
    Management Review    2026, 38 (6): 3-16.  
    Abstract137)      PDF (1916KB)(96)      
    Digital computing power is the key for a country to energizing innovative development, accelerating digitalization and stimulating the growth of digital economy. It is of great research significance to deeply analyze the complex influencing mechanism of digital computing power from the perspective of innovation theory. Taking digital computing power as the technical main body, this paper logically constructs a TOE-based analytical framework (TOE is short for Technology-Organization-Environment) to systematically analyze the interaction process between digital computing power and the innovation system, and reveal the paths and mechanisms by which regional digital computing power has a cross-level and cross-subject effect on the total factor productivity of enterprises. Based on the panel data of provincial and listed enterprises in China from 2016 to 2022, this paper measures the development level of regional digital computing power in China. With the fixed effect model as the benchmark, the effect of regional digital computing power on the total factor productivity of enterprises is verified. The main conclusions include: Regional digital computing power can promote the growth of total factor productivity of enterprises. This conclusion passes two robustness tests, namely 2SLS-IV and GMM estimation. In terms of influence path, regional digital computing power promotes the growth of total factor productivity of enterprises by enhancing the level of regional digital governance, deepening the integration of digital and real industries, and promoting the digitalization of enterprises. Heterogeneity analysis indicates that this promoting effect is more pronounced in non-state-owned enterprises, non-high-tech enterprises, enterprises in eastern regions, and enterprises in regions where production follows behind. This paper provides important perspectives and suggestions for the development of regional digital computing power and enterprise innovation management, which are important for China’s strategic layout of “east data computed in the west” and the development of new quality productivity in enterprises.
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    Impact of Traffic Accessibility on Regional Economic Vitality: A Quasi-natural Experiment Based on High-speed Railway Operation
    Wei Shanshan, You Jiaxing, Sun Qian
    Management Review    2026, 38 (6): 17-27.  
    Abstract99)      PDF (1277KB)(76)      
    Based on a sample of 94,889 fine-grained observations from 20 industries in 331 cities from 2005 to 2020, this paper uses the opening of high-speed railways as a quasi-natural experimental scenario to examine the impact of transportation accessibility on regional economic vitality using the Difference-in-Differences method. The empirical test finds that the opening of high-speed railways significantly stimulates the economic vitality of the region, which is the result of three effects: population agglomeration, capital agglomeration and market agglomeration. However, this impact is not balanced and there is a siphoning effect, i.e., the enhancement brought about by the opening of high-speed railways is more pronounced in regions with comparative economic or locational advantages. This paper enriches our understanding of the positive externalities of transportation accessibility from the perspective of regional economic vitality, and provides positive policy references for China’s optimization of high-speed rail layout, sustained improvement of livelihood construction, and promotion of high-quality economic development.
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    Study on the Influencing Factors of Chinese Medical Insurance Fund Development: Based on Provincial Panel Data
    Zhao Jiuyang, Guo Kun
    Management Review    2023, 35 (8): 71-84.  
    Abstract339)      PDF (2634KB)(362)      
    National health is a fundamental condition of economic and social development, and national medical insurance is an important institutional arrangement to promote national health. The stable operation of medical insurance fund, which functions as the "lifeline" of the medical insurance system, is a premise and foundation of the sustainable development of health care system, which also depends on the level of economic and social development. This paper theoretically analyses the important factors influencing medical insurance fund operation as well as the influence mechanism of the related factors. Then based on dataset of 31 provinces and cities worker medical insurance fund and related indicators, factors affecting the fund income, expenditure and the total balance are explored respectively using panel regression model for empirical analysis. It can be found that there are many factors affecting the medical insurance fund operation and development in the aspects of macro-economic level, micro-economic level, medical resource demand and supply, and urban employee health insurance participation structure. Further, the influencing factors in different regions are different to some extent.
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    The Cyclical Transition Characteristics of the Bull and Bear States in China's Stock Market: Based on the DMCPSO-HSMM Model
    Yang Jie, Feng Yun, Yang Hao
    Management Review    2024, 36 (11): 3-13.  
    Abstract448)      PDF (3327KB)(5827)      
    This paper studies the periodic transition of the state of China’s stock market and discusses the time-varying distribution characteristics of returns of CSI300 in depth. By introducing the dynamic population reorganization based on the K-means + + clustering algorithm and the chaotic search strategy into the standard particle swarm optimization algorithm, a dynamic multi-population chaotic particle swarm optimization algorithm is proposed, and the initial values of hidden semi-Markov model are further optimized based on this algorithm. The empirical analysis shows that there exist three states in China’s stock market, namely the bear, bull, and volatile markets. A bull market generally follows a bear market, and after a bullish situation, the market has a greater probability of turning to a volatile situation. The volatile state and the bearish state play key roles in the leptokurtic and heavy-tailed characteristics of the stock market, respectively. Based on the decoding results, a mode transformation network is constructed using the coarse-grained method, and key hub modes are identified. Further analysis is conducted on the co-movement of bull and bear states of large-, medium-, and small-cap stocks. There is a significant cyclical polarization between large-cap and medium-or small-cap stocks. Finally, we propose a more accurate out-of-sample forecasting method for the hidden semi-Markov model and prove the practical value of our model via a simple market timing strategy.
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    Can the Development of New-generation Artificial Intelligence Optimize the Urban Industrial Structure?—From the Dual Perspectives of Efficiency Improvement and Coordinated Development
    Cao Yuping, Liu Jingwei
    Management Review    2026, 38 (6): 28-43.  
    Abstract63)      PDF (3106KB)(70)      
    Starting from the dual perspectives of efficiency improvement and coordinated development, and based on a deep understanding of the general purpose meta-technology characteristic of the new-generation artificial intelligence (AI) as a new form of productive force, this paper systematically explains the intrinsic theoretical mechanism through which AI influences the optimization of urban industrial structure, both in terms of heightening and rationalizing the structure, by improving resource allocation and enhancing the unbalanced innovation capacity across the primary, secondary, and tertiary industries. Using the phased establishment of the National New Generation Artificial Intelligence Innovation and Development Experimental Zones as a quasi-natural experiment, the study employs a staggered difference-in-differences (DID) approach for policy evaluation. The results show that the development of new-generation AI has promoted industrial structure heightening, but suppressed its rationalization. The mechanism analysis reveals that the disparity in effects arises because new-generation AI exacerbates the imbalance in innovation capacity between the three industries although it enhances resource allocation efficiency and overall innovation capacity. Heterogeneity analysis indicates that with the improvement of factors such as population mobility, digital inclusive finance, marketization, and the level of openness, new-generation AI can more effectively promote industrial structure heightening, while mitigating its suppressive effect on industrial structure rationalization. This paper provides an analytical framework for understanding the creative destruction effects of new-generation AI on industrial structure transformation and offers insights into the path of building a modern industrial system.
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    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.  
    Abstract591)      PDF (1244KB)(1198)      
    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.
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