Challenges and Solutions in Publishing Phenomenon-Based Chinese Management Research in Top-Tier Journals: My Journey

Aichia Chuang, Ryan Shuwei Hsu, Amy Y. Ou, Xu Huang

Abstract

Phenomenon-based research involves uncovering context-specific mechanisms underlying complex organizational realities and, when applied to Chinese contexts, offers valuable potential to extend and refine global management theories. Drawing on three illustrative studies on person–environment fit (Chuang, Hsu, Wang, & Judge, 2015), CEO humility (Ou, Waldman, & Peterson, 2014), and authoritarian leadership (Huang, Chiu, Lam, & Farh, 2015) respectively, this editorial highlights how each exemplifies different stages in the evolution of theories, from indigenous, middle-range insights to universal, general frameworks. In doing so, it addresses challenges and potential solutions for publishing phenomenon-based Chinese management research in premier journals. Across these cases, several recurring challenges emerge, including difficulties in positioning context-specific findings within existing theoretical frameworks, translating culturally embedded constructs for international audiences, and balancing cultural authenticity with global understanding. The authors also reflect on practical challenges such as building research partnerships and gaining organizational support within Chinese contexts. By comparing experiences across these studies, this editorial offers guidance on how phenomenon-based research can deepen theoretical innovation while maintaining methodological rigor and practical relevance. Lastly, it argues that Chinese management research plays a vital role in advancing universal management knowledge and offers opportunities for future research.

Keywords

evolution of theories; indigenous research; phenomenon-based research; universal research

Artificial Intelligence and Firm Technological Diversification: Unveiling the Distinctions Between Related and Unrelated Domains

Dong Wu, Xiru Chen, Jingwen Li

Abstract

Artificial intelligence (AI) is revolutionizing the way firms pursue technological diversification (TD), yet its distinct effects on related and unrelated diversification remain insufficiently explored. Based on the knowledge-based view, this study examines the distinct effects of AI on related and unrelated TD to elucidate AI’s specific role in facilitating both the optimization of existing knowledge and the exploration of new domains. Using a multi-period difference-in-differences model and panel data from China’s listed manufacturing firms (2013–2022), our empirical analysis demonstrates that AI significantly promotes firm TD, particularly in unrelated TD. Additionally, we identify that core-technology competence strengthens the positive effect of AI on unrelated TD, while knowledge stocks weaken it. These results contribute to the literature on TD by underscoring the role of AI. Practically, the study offers actionable insights for managers to harness AI in balancing exploration and exploitation within their TD strategies.

Keywords

artificial intelligence, core-technology competence, knowledge stocks, related technological diversification, technological diversification, unrelated technological diversification

Attention to Whom? AI Adoption and Corporate Social Responsibility Toward Human Employees

Jie Lyu, Shiyue Wang, Chenhao Hu

Abstract

The rapid evolution of artificial intelligence (AI) has profoundly reconfigured the contemporary workplace, redefining the interactions among human employees, AI systems, and organizational processes. Yet, most research adopts a tool-centric view, overlooking how AI’s emergence as an alternative working agent reshapes managerial attention and employee welfare. Drawing on the attention-based view (ABV) and a dual-agent model, we theorize that AI adoption activates two opposing mechanisms: a human attention gain mechanism, where collaboration needs heightened focus on employees and increased employee-related corporate social responsibility (ECSR), and an AI attention shift mechanism, where deep AI embedding redirects attention toward AI, suppressing ECSR. Using panel data from 2575 Chinese listed firms (2013–2023), we find an inverted U-shaped relationship between AI adoption and ECSR. Moreover, industry AI substitution risk sharpens and left-shifts this curve, while top management team (TMT) functional diversity and employee stock ownership flattens and right-shifts it. These findings advance research on AI adoption, managerial attention, and employee-focused CSR by illuminating how attention allocation in dual-agent contexts shapes ethical and strategic outcomes, offering actionable insights for balancing human–AI integration with sustained employee welfare.

Keywords

AI-human relationship, artificial intelligence, attention-based view, CSR, ECSR

Mutual Monitoring: How TMT Faultlines Affect Corporate Fraud

Da Teng, Mengge Li, Shuai Chen, Qi Ai

Abstract

We develop and test a theoretical model to investigate the effects of faultlines within the top management team (TMT) on corporate financial fraud. We propose that TMT faultlines can generate mutual monitoring among factional subgroups in the executive suite, which reduces fraudulent behavior. We also examine the contingent roles of subgroup configuration and the TMT members’ tenure overlap in shaping the relationship between TMT faultlines and financial fraud. The mutual monitoring effect is likely to be stronger when the TMT has a balanced subgroup configuration and shorter TMT members’ tenure overlap. We test our argument in the context of publicly listed firms in China. This article extends the mutual monitoring perspective of corporate governance and has important research implications for the corporate financial fraud literature.

Keywords

groups and teams, governance, panel data analysis, quantitative methods, top management team

Harnessing Transformational Leadership to Curb Unethical Pro-Group Behavior: Roles of Group Potency and Leader–Organization Fit

Mingyun Huai, Xingyu Pang, Lida L. Zhang, Jiping Li, Long W. Lam

Abstract

Previous research mainly emphasizes relational factors that drive employees to engage in unethical behaviors to benefit their group, overlooking the role of ability-related mechanisms. However, understanding the ability-related mechanisms not only deepens our insight into unethical pro-group behaviors but also informs effective strategies for reducing such behaviors. Drawing upon social cognitive theory, we propose that employees who perceive low group potency are more likely to engage in unethical pro-group behaviors. In this regard, transformational leadership can reduce these unethical behaviors by increasing employees’ perception of group potency. Furthermore, we suggest that this effect is particularly salient when employees perceive a high leader–organization fit. We conducted an experiment and a multi-source, multi-wave field study to empirically test this theoretical model. Our research contributes to the literature on behavioral ethics and transformational leadership and provides practical implications for reducing unethical pro-group behaviors in the workplace.

Keywords

leader–organization fit, perceived group potency, transformational leadership, unethical behavior, unethical pro-group behaviors

Surviving Abusive Supervision: The Roles of Attribution and Impression Management

Dan Ni, Xiaoming Zheng, Jiaxin Lin, Yirong Guo, Lindie H. Liang

Abstract

Drawing on attribution theory and impression management research, we investigate when and how abused employees engage in different coping strategies and what the interpersonal consequences of the coping strategies are for employees. Specifically, from an employee actor–based perspective, we develop and test a dual-path-mediated moderation model that represents the double-edged sword effect of abusive supervision. Using data from 444 front-line employees, we find that injury initiation motives attribution enhances the positive relationship between abusive supervision and revenge motivation, which in turn is positively related to intimidation, exemplification, and supplication. Conversely, performance promotion motives attribution strengthens the positive relationship between abusive supervision and motivation to reconcile, which in turn is positively associated with ingratiation, self-promotion, and exemplification. Intimidation and supplication are then related to increased interpersonal conflict with leaders, while ingratiation is related to reduced interpersonal conflict with leaders. Theoretical contributions, practical implications, and limitations are discussed.

Keywords

abusive supervision, attribution, impression management, interpersonal conflict, motivation

Appointment-based CEOs’ Internal Alliances and Carbon Performance: International Evidence

Qi Fang, Xiaomeng Charlene Chen, Jun Hu, Le Luo

Abstract

This study examines how internal CEO alliances, defined as social and structural ties between CEOs, subordinate executives, and board members, influence corporate carbon performance. Drawing on data from 36 countries over the period 2002–2023, we find that strong internal alliances are associated with weaker carbon performance, suggesting that concentrated internal power may hinder firms’ emission reduction efforts. However, this adverse effect is significantly moderated by various organizational and institutional factors. Specifically, it is attenuated in contexts characterized by stringent environmental regulation, robust media oversight, high regulatory quality, and greater board gender diversity. At the individual level, CEO characteristics such as hometown affiliation and older age also appear to reduce the negative influence of internal alliances. These findings advance our understanding of how CEO power dynamics interact with external and internal governance mechanisms to influence firms’ climate-related outcomes.

Keywords

board, carbon performance, CEO, corporate governance, internal alliance