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Competitiveness is an important personality trait that has been studied in various disciplines and has been shown to predict critical work outcomes at the individual level. Despite this, the role of competitiveness in groups and teams has received scant attention amongst organizational researchers. Aiming to promote future research on the role of competitiveness as both an adaptive and maladaptive trait – particularly in the context of work – the authors review competitiveness and its effects on individual and team stress and Well-Being, giving special attention to the processes of cohesion and conflict and situational moderators. The authors illustrate a dynamic multilevel model of individual and team difference factors, competitive processes, and individual and team outcomes to highlight competitiveness as a consequential occupational stressor. Furthermore, the authors discuss the feedback loops that inform the different factors, highlight important avenues for future research, and offer practical solutions for managers to reduce unhealthy competition.

This research investigates the impact of corporate donations on the cost of equity capital. We argue that corporate donations reduce firm risk and improve reputation, affecting the cost of equity.

We employ a large international sample of 44 countries from 2002 to 2019. We use several econometric methods and conduct a range of sensitivity tests to examine the robustness of findings.

We find that corporate donations reduce the cost of equity capital. In terms of economic significance, the study shows that one standard deviation increase in corporate donations leads to a 12.9 to 14.9 basis point decrease in the cost of equity capital. The additional analyses reveal that donation patterns, country-specific attributes and macroeconomic characteristics likely influence the findings. Our results are robust to a batch of sensitivity tests, including GMM regression analysis and tests with alternative measures for corporate donations and the cost of equity capital.

Our research findings have practical implications. Policymakers can encourage firms to undertake philanthropic activities to reduce business risk, which benefits both firms and investors.

We contribute to the theoretical discussion about the role of corporate philanthropy. We argue that firm risk is reduced due to philanthropic activities such as corporate donations. Overall, our results suggest that corporate donations affect worldwide external financing costs.

The purpose of our study is to investigate the effects of politically-connected boards (PCBs) on over-(under-)investment in labor. We also examine the impacts of the supervisory board (SB)’s optimal tenure on the association between PCBs and over-investment in labor.

We constructed the proxy for PCBs using a dummy variable set to 1 (one) if a firm has politically-connected boards and zero (0) otherwise. For the robustness check, we used the number of politically-connected members on the boards as the proxy for PCBs.

We find that the presence of PCBs reduces over-investment in labor. Consistent with our prediction, we found no significant association between PCBs and under-investment in labor. We also find that the SB with optimal tenure strengthens the negative association between PCBs and over-investment in labor. In our channel analysis, we find that the presence of PCB mitigates over-investment in labor through a higher dividend payout ratio.

Due to the unavailability of data in firms’ annual reports regarding the number of poorly-skilled and highly skilled employees, we were not able to examine the effect of low-skilled and high-skilled employees on over-investment in labor. Also, we were not able to examine over-(under-)investment in labor by drawing a distinction between general (generalist) and firm-specific human capital (specialist) as suggested by Sevcenko, Wu, and Kacperczyk (2022). Generally, it is more difficult for managers to hire highly-skilled employees, specialists in particular, thereby driving the choice of either over- or under-investing in the labor forces. In addition, in the firms’ annual reports, there is no information regarding temporary employees. Therefore, if and when such data become available, this would provide another avenue for future research.

Our study offers several practical implications and insights to stakeholders (e.g. insiders or management, shareholders, investors, analysts and creditors) in the following ways. First, our study highlights significant differences between capital investment and labor investment. For instance, labor investment is considered an expense rather than an asset (Wyatt, 2008) because, although such investment is human capital and is not recognized on the firm’s balance sheet (Boon et al., 2017). In addition, labor investment is characterized by: its flexibility which enables firms to make frequent adjustments (Hamermesh, 1995; Dixit & Pindyck, 2012; Aksin et al., 2015), its non-homogeneity since every employee is unique (Luo et al., 2020), its direct impact on morale and productivity of a firm (Azadegan et al., 2013; Mishina et al., 2004; Tatikonda et al., 2013), and its financial outlay which affects the ongoing cash flows of a firm (Sualihu et al., 2021; Khedmati et al., 2020; Merz & Yashiv, 2007). Second, our findings reveal that the presence of PCBs could help to reduce over-investment in labor. However, if managers of a firm choose to under-invest in labor in order to obtain better profit in the short-term through cost saving, they should be aware of the potential consequences of facing a financial loss when a new business opportunity suddenly arises which requires a larger labor force. Third, our findings help stakeholders to re-focus on the labor investment. This is crucial due to the fact that labor investment is often neglected by those stakeholders because the expenditure of labor investment is not recognized on the firm’s balance sheet as an asset. Instead, it is written off as an expense in the firm’s income statement. Fourth, our findings also provide insightful information to stakeholders, suggesting that an SB with optimal tenure is more committed to a firm, and this factor plays an important role in strengthening the negative association between PCBs and over-investment in labor.

First, our findings provide a valuable understanding of the effects of PCBs on over-(under-)investment in labor. Stakeholders could use information disclosed in the financial statements of a publicly-listed firm to determine the extent of the firm’s investment in labor and PCBs, and compare this information with similar firms in the same industry sector. Second, our findings give a better understanding of the association between investment in labor and political connections , which are human and social capital that could determine the long-term survival and success of a firm. Third, for shareholders, the appointment of board members with political connections is an important strategic decision to build political capital, which is likely to have a long-term impact on the financial performance of a firm; therefore, it requires thoughtful consultation with firm insiders.

Our findings highlight the role of PCBs in reducing over-investment in labor. These findings are significant because both investment in labor and political connections as human and social capital can play an important role in determining the long-term survival and success of a firm.

Corporate ESG performance has attracted widespread attention from various sectors of society. This paper aims to investigate whether analysts’ ESG attention can convey additional information to the market and consequently influence stock pricing efficiency.

Using A-share listed companies from 2014 to 2021 as the research subjects, this paper employs a deep learning algorithm, word2vec, to construct an ESG dictionary. Text analysis is then applied to create an analysts’ ESG attention index, delving into its impact on stock pricing efficiency.

Empirical research reveals that: (1) Analysts' ESG attention effectively enhances stock pricing efficiency, with a more significant impact from analysts’ attention to environmental (E) and social (S) factors compared to governance (G); (2) Further analysis indicates that this effect becomes more pronounced when there is higher disparity in corporate ESG ratings, greater marketization in the province where the company is located, and a higher institutional ownership percentage and (3) The mechanism by which analysts' ESG attention influences stock pricing efficiency is through an elevation in investor attention and stock liquidity. Additionally, it is observed that analysts prioritize ESG information to enhance their reputation and business capabilities.

From the perspective of ESG rating divergence, this paper innovatively uses analyst reports to construct ESG attention indicators and analyzes their impact on the efficiency of stock pricing.

Metadiscourse is an important dialogue technique used in productive knowledge building to help a group evaluate and advance their knowledge progress. Previous studies have identified and defined various types of metadiscourse. However, there is scant knowledge about how different metadiscourse types emerge among different groups or what implicit correlations lie between progressive discourse and metadiscourse. Moreover, research on how different types of metadiscourse influence groups' knowledge advancement and artifacts is still inadequate. Therefore, this study aims to further examine the roles that different types of metadiscourse play in the collaborative knowledge building community on both a fine-grained (i.e. progressive discourse) and coarse-grained (i.e. group knowledge advancement and group artifacts) level.

Data for this study are drawn from the behaviour of undergraduate students participating in a 12-week course at a key university in China. On the fine-grained level, epistemic network analysis (ENA) is applied to illustrate how metadiscourse promotes the development of progressive discourse. On the coarse-grained level, two different chi-square tests are conducted to examine the roles of different types of metadiscourse in groups' knowledge advancement and artifacts.

The analysis allowed several conclusions to be drawn. First, the types of metadiscourse that students most often adopted were reflecting on ideas development (RD) and commenting on ideas (CI); they less frequently adopted setting group goals (SG) and making group plans (MP). Second, most types of metadiscourse correlated with developments in progressive discourse, particularly RD and CI. Third, the metadiscourse types RD, CI and coordinating group efforts (CE) played essential roles in knowledge advancement. Fourth, higher-quality artifacts could be created by using the metadiscourse type reviewing the state of knowledge building progress (RP).

A more profound comprehension of the role that metadiscourse plays in the collaborative knowledge building community not only contributes to the literature in the knowledge building field but also carries a significant meaning in regulating community, promoting learner agency and sustained knowledge, and consequently improving collaborative learning performance.

Artificial Intelligence (AI) is widely used in higher education teaching and learning. This trend of AI integration will continue to emerge within the education system. To stay ahead of the curve in the education realm, educators shall involve the usage of AI in teaching activities, assessments, and learning experiences. This book chapter aimed to highlight the challenges faced by higher education while proposing refined solutions to educators in involving the usage of AI tools in their teaching pedagogy. The suggested solutions were drafted from three different perspectives of AI to be integrated into its curriculum, namely the 3As triadic approach. Activities are identified as the essential asset to fostering a collaborative learning environment encouraging students to make use of cocreated AI in activities creation. Meanwhile, assessment preparation requires rigorous restrictions on AI usage to portray higher order thinking skills while abiding by ethical guidelines and legal framework. Academic content is prudent in ensuring latest findings and research are credible while bridging the gap between interactive academic materials with students' learning outcomes. Concurrently, we highlighted several approaches to achieve AI collaborative learning and enhance students' experience.

Artificial Intelligence (AI)-powered technologies are revolutionising the landscape of education, ushering in a myriad of possibilities and challenges. This article delves into the dual nature of AI-driven tools in education, spotlighting pivotal advancements like automated grading, personalised learning algorithms, online monitoring, content filtering, AI-based learning tools, Chat Generative Pre-trained Transformer (ChatGPT) and standardised testing (ST) platforms. Ultimately, the examination reveals a spectrum of advantages, risks and considerations associated with AI-driven educational applications. Employing the PRISMA protocol, this study systematically reviews peer-reviewed literature concerning the implementation and ethical implications of AI in higher education. The analysis incorporates 36 scholarly articles, uncovering the entrepreneurial advantages of AI, such as tailored learning experiences, self-assessment opportunities, heightened efficiency, skill enhancement and reduced educational disparities. Concurrently, the research identifies potential hazards, including user profiling, plagiarism, academic integrity breaches and excessive reliance on technology that may hinder creative learning dynamics. Crucial concerns emerge, encompassing the possible devaluation of educators' roles, privacy issues inherent in personalised learning platforms and the intrusive nature of online surveillance. Additionally, the study highlights biases embedded within AI algorithms and apprehensions regarding job displacement within the academic community. To steer AI integration responsibly within higher education, the investigation explores ethical frameworks and models, offering pragmatic suggestions for institutions. Recommendations advocate for a balanced approach, emphasising judicious AI utilisation and the formulation of institutional policies. This chapter's distinctiveness lies in its innovative stance, striving to reconcile the technical and entrepreneurial benefits of AI applications with the preservation of creativity in higher education contexts.

Although several studies evidence the positive outcomes of facilitation coaching style in various professional settings, it has received less attention in the health-care context. Thus, drawing on previous research and the tenets of Self-Determination Theory (Deci and Ryan, 1985), Job Demands-Resources Theory (Demerouti et al., 2001) and Conservation of Resources Theory (Hobfoll, 1989), this study aims to investigate the relationship between facilitation coaching style and adaptive performance in health-care professionals, considering a serial mediation mechanism in which job-related anxiety and informal field-based learning are antecedents of positive psychological capital (PsyCap).

Self-reported data were collected from 253 Romanian health-care professionals using a cross-sectional research design.

The authors found that facilitation coaching style reduces job-related anxiety and promotes informal field-based learning, thereby improving PsyCap and, ultimately, contributing to higher adaptive performance.

These results emphasize the critical role of facilitation coaching style in the health-care sector and provide actionable insights for health-care organizations seeking to enhance their staff’s adaptive performance and, consequently, patient care.

This study explores a novel conception of corporate social responsibility (CSR) hybridity and investigates its effect on returns following CSR announcements and the moderating role of aspirational CSR talk.

Based on an event study of 136 Chinese companies’ CSR announcements, this study empirically insights into an overall tension between the short-term firm performance (FP) loss and medium-term FP success of CSR hybridity.

First, CSR hybridity has a negative impact on short-term FP. Second, although there is positive effect on medium-term FP, this influence is not permanent. Third, aspirational CSR talk has a moderating role on the positive relationship between CSR hybridity and FP. These results point to the unique features of hybridity that require time to diffuse the impacts.

First, by adopting new concept of CSR hybridity, this study contributes to the literature by considering better solutions to integrate strategic CSR. Second, by investigating the complexity of the CSR hybridity–FP dialogue, the results provide insights into the questions of why and when organizations could be incentivized to adopt hybrid CSR approaches. Third, this study contributes to the CSR–FP and stakeholder literature by demonstrating that aspirational talk is key in CSR’s medium-term success. The implication of this is a growing pressure on companies’ CSR communications with investors through managerial talk that depicts organizational ambitions for CSR engagement.