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Based on upper echelons theory, this study aims to explore the impact of senior management’s academic experience on corporate risk-taking and analyze the pathways and potential moderating effects of this relationship.

This study uses panel data of Chinese A-share listed companies in the Shenzhen Stock Exchange and Shanghai Stock Exchange from 2008 to 2020. An ordinary least squares model is used to test the hypothesis.

The results indicate that senior management’s academic experience suppresses corporate risk-taking, with investment level and cash reserves being two important channels. The moderation effect test shows that the inhibitory effect becomes more pronounced when senior managers with academic backgrounds occupy chief executive officer or chief financial officer roles. Conversely, when academic executives possess overseas/financial backgrounds or increase their compensation incentives, the strength of this disincentive effect diminishes. Moreover, our extended research finds that this inhibitory effect is more pronounced in state-owned companies and those within a strong Confucian cultural environment. Additionally, senior management’s academic experience positively correlates with both current and future market returns and company value.

This study contributes to the development of top management team building and corporate governance practices. Additionally, it furnishes investors with valuable insights into assessing the risk level of companies through the characteristics of their top management teams, thereby facilitating informed investment decision-making and improving capital market resource allocation efficiency.

This paper aims to investigate whether managerial overconfidence has an impact on investment inefficiency beyond its influence on the use of internal financing or whether internal financing behaves as a full intermediary.

The study employed three dependent variables, namely business investment scale, overinvestment and underinvestment, and analyzed data from 282 firms across five different industries listed in 11 Middle East/North Africa (MENA) countries between 2013 and 2019 using regression analysis via least square dummy variable (LSDV).

The findings indicate that while internal financing can provide funding for investment opportunities and address capital shortages, it may also result in overinvestment, particularly in companies led by overconfident managers.

Stakeholders, including shareholders and board of directors, should pay attention to the chief executive officer (CEO)'s behavioral aspects such as overconfidence in decision-making while undertaking new investment projects. Additionally, regulators and policymakers in emerging markets like MENA should re-evaluate the corporate governance framework, devise a corporate governance index and promote boardroom gender diversity as it can significantly reduce risk.

This study adds to the limited research on the impact of managerial overconfidence on investment efficiency in the MENA region. By focusing on this region, which has unique economic, political and social characteristics, the study provides new insights into the role of behavioral biases in investment decision-making in emerging markets.

This study advances network brokerage theory by examining both benefits-driven and altruistic brokerage behaviors within the mutual fund retail markets of emerging economies.

Using a methodological combination of netnographic observations and in-depth interviews with fund investors, social influencers, sales agents and staffs from do-it-yourself (DIY) investment platforms, it uncovers the digital evolution of the mutual fund industry.

Our findings illuminate a significant pivot from traditional retail channels to third-party DIY investment platforms, a change accelerated by the recent pandemic. This shift underscores a critical theoretical extension by spotlighting the altruistic actions of social influencers, or key opinion leaders (KOLs), challenging the prevalent focus on solely benefits-driven motives in network brokerage literature. Furthermore, the study reveals a diminishing significance of arbitrage network brokering amidst the industry’s digital overhaul.

Concluding with an insightful discussion on its implications to policymakers and practitioners and acknowledging potential limitations, this research offers valuable perspectives for understanding the dynamics of network brokerage in the context of digital transformation within consumer financial markets.

This study aims to examine how virtual influencers (VIs) affect purchase intentions in tourism and hospitality e-commerce live streaming (THCLS) by focusing on the roles of VIs’ source credibility, trust in products, trust in VIs, emotional engagement, parasocial relationships and influencer–product congruence.

Survey data from 416 active viewers of VIs in THCLS were analysed using partial least squares structural equation modelling.

This study highlights the importance of the VIs’ source credibility, which positively affects trust in the product, trust in VIs and emotional engagement. However, source credibility does not have a positive impact on parasocial relationships. Trust in products positively influences trust in VIs. Emotional engagement and trust in VIs significantly influence parasocial relationships, which, positively affects purchase intentions. Influencer–product congruence strengthens the link between parasocial relationships and purchase intentions but does not moderate the relationship between trust in VIs and purchase intentions. No significant gender differences were observed, although minor discrepancies were noted in the effect of trust in products on trust in VIs. The importance–performance map analysis revealed that parasocial relationships are the most important factor influencing purchase intentions, while influencer–product congruence has the highest performance, trust in products is the least important and VIs’ source credibility has the lowest performance.

This study provides actionable insights for marketers leveraging VIs in the THCLS sector, emphasizing strategies to enhance VI credibility, foster parasocial relationships, ensure influencer–product congruence and adopt gender-neutral marketing approaches to effectively influence purchase intentions.

This study offers theoretical and practical insights into the role of VIs in THCLS, illuminating their impact on consumer behaviour and purchase intentions.

This study empirically investigates the moderating effect of institutions (including formal institutions and informal institutions) on the relationship between FDI and regional technology-based entrepreneurship in China’s emerging economy.

By collecting data on technology-based entrepreneurship at the regional level in China, our final balanced panel comprises 81,926 technology start-ups in 29 provinces at the regional level from 2000 to 2014.

The results show that FDI is critical to encouraging technology-based start-ups. We also argue that the institutions positively moderate the relationship between FDI and regional technology-based entrepreneurship. This study supports the negative interaction effect of FDI and corruption on technology-based entrepreneurship in eastern regions, suggesting that corruption weakens FDI’s entrepreneurial enthusiasm.

This study contributes to the literature by highlighting the critical role of regional formal institutions in moderating the positive effects of FDI on technology-based entrepreneurship. This enriches the knowledge spillover theory of entrepreneurship and the OLI paradigm, offering a fresh perspective on this complex relationship. Additionally, it provides nuanced insights into how corruption, as an informal institution, interacts with FDI in different regional contexts.

This paper aims to examine the role of local/provincial government in influencing corporate social and environmental reporting (CSER) in China, and more specifically, how the underlying economic and political factors associated with local government have influenced the quality of CSER.

The authors used 234 environmentally sensitive companies listed on the Shanghai and Shenzhen Stock Exchanges during 2013 and 2015 as the research sample to test the relationship between CSER and local government’s political connection and economic prioritisation and the potential mediating effect of local economic prioritisation.

The analysis provides evidence that local/provincial government’s political geographical connectedness with the central government has directly and positively influenced the level of CSER, while local prioritisation of economic development has a direct but negative effect on CSER in China. In addition, local/provincial prioritisation of economic development has mediated the relationship between local–central political geographical connectedness and CSER.

While local/provincial governments are heavily influenced by the coercive pressure from the central government, they also act in their own political and economic interests in overseeing CSER at the local level. This study raises the question about the effectiveness of the top-down approach to improving CSER in China and suggests that the central government may need to focus more on coordinating and harmonising different local/provincial governments’ interests to enable achieving a common sustainability goal.

The authors provide evidence revealing how the economic and political contexts of local government have played a significant role in shaping CSER in China. More specifically, this paper addresses a gap in the literature by highlighting the importance of local government oversight power for CSER development and how such oversight is determined by local prioritisation of economic development and political geographical connectedness of local and central governments.

Over the past decade, artificial intelligence (AI) technologies have rapidly advanced organizational management, with many organizations adopting AI-based algorithms to enhance employee management efficiency. However, there remains a lack of sufficient empirical research on the specific impacts of these algorithmic management practices on employee behavior, particularly the potential negative effects. To address this gap, this study constructs a model based on the psychological ownership theory, aiming to investigate how algorithmic management affects employees’ knowledge hiding.

This study validates the model through a situational experiment and a multi-wave field study involving full-time employees in organizations implementing algorithmic management. Various analytical methods, including analysis of variance, regression analysis and path analysis, were used to systematically test the hypotheses.

The study reveals that algorithmic management exerts a positive indirect influence on knowledge hiding through the psychological ownership of personal knowledge. This effect is particularly pronounced when employees have lower organizational identification, highlighting the critical role of organizational culture in the effectiveness of technological applications.

This study is among the first empirical investigations to explore the relationship between algorithmic management and employee knowledge hiding from an individual perception perspective. By applying psychological ownership theory, it not only addresses the current theoretical gap regarding the negative effects of algorithmic management but also provides new theoretical and empirical support for the governance and prevention of knowledge hiding within organizations in the context of AI algorithm application. The study highlights the importance of considering employee psychology (i.e. psychological ownership of personal knowledge) and organizational culture (i.e. organizational identification) under algorithmic management. This understanding aids organizations in better managing knowledge risks while maximizing technological advantages and effectively designing organizational change strategies.

This study aims to investigate the impact of viewing different types of digital environment images on college students’ positive emotions, nature relatedness and environmental preference. This aimed to address the gap in empirical studies regarding the effects of digital environment images on these psychological constructs.

This study used a three-group experimental between-subjects design. Participants (48 undergraduate students) were divided into three groups, each viewing a different set of digital images (nature, city or object). Pre- and posttest measures assessed positive emotions and nature relatedness, whereas environmental preference was measured after image viewing. One-way analysis of variance and post hoc Tukey’s honestly significant difference (HSD) tests were used to analyze the data.

Viewing digital nature images elicited significantly higher positive emotions, nature relatedness and environmental preference compared to viewing city or object images. In addition, environmental preference for the digital object group was marginally higher than the city group.

This study was limited by its relatively small sample size. Although further research is needed to investigate the underlying mechanisms behind the observed effects, this study provides valuable implications for education, economic dimensions and public policy initiatives, encouraging the development of pro-environmental attitudes and behaviors.

The findings suggest that incorporating digital nature images into learning activities can promote positive emotions, nature relatedness and environmental preference among college students. This has implications for the design of digital learning environments, especially for those with limited access to natural environments.

By promoting positive emotions and nature relatedness, digital nature experiences can contribute to emotional well-being and potentially foster pro-environmental behaviors. This can have implications for promoting sustainable lifestyles and environmental conservation efforts.

This study provides original empirical evidence on the impact of viewing digital environment images on several psychological constructs. It highlights the potential of digital nature experiences as a complement to direct nature exposure, particularly for those with limited access to natural environments. These findings contribute to the growing body of literature on the benefits of digital nature experiences and have implications for various fields, including education, environmental psychology and human–computer interaction.

Adopting the context, input, process and product (CIPP) evaluation assessment model, this study aims to achieve three objectives: (1) to identify the characteristics of educational activities conducted by the International Table Tennis Federation (ITTF) museum; (2) to explore the key factors that promote and optimize the educational objectives of the ITTF museum and (3) to develop a framework that attempts to unpack the complex and dynamic processes of activities conducted by the ITTF museum.

A qualitative research using in-depth interviews was conducted to explore the functions and activities of the ITTF museum.

The path of educational activities carried out is expressed in four aspects: (1) educational background including philosophy and purpose, advantages possessed and the learning needs and readiness of the audience; (2) the resource input includes resource allocation, venue structure, funding channels and the basis of activity program design; (3) the educational activity process includes external cooperation and exchange, the specific content of the activity programs, the teaching strategies and methods during the activities and the response to the challenges of the epidemic and (4) the results of the activities include the number of audience and population distribution, evaluation and feedback of the activities, ways and means of promoting the activities and difficulties and challenges faced.

In the follow-up studies, quantitative research can be conducted by developing a questionnaire based on the current study’s findings. Evaluation scales can be set to continue to enrich and improve the uncovered research content, which is conducive to promoting the objectives of the ITTF museum and giving full play to the educational function, thus enriching the research of sports museums.

The contributions of this study are as follows. First, it enriches the application of the CIPP assessment model in the context of sports museums. It helps the ITTP museum better perform its educational function and provides a reference for future activities of sports museums.