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The escalating instances of financial distress (FD) in corporate houses across the globe, call for immediate attention from policymakers, practitioners and academics equally. This study aims to examine how board gender diversity (GD) and information disclosures (ID) interact with each other to drive FD.

The authors apply dynamic panel data analysis on a sample of 255 Indian-listed firms from 2016 to 2023 to arrive at the econometric results.

The main findings indicate that while ID exacerbates distress, GD reduces it. In addition, GD also interacts with ID to curtail the adverse effects of disclosures on FD. Therefore, GD acts like a stone that kills two birds simultaneously, first by reducing the distress directly and second by limiting the negative effects of disclosures on distress.

This study extends the understanding of the implications of GD and complements existing research by investigating its direct and indirect impact on FD. It builds on the analysis to propose that GD can foster resilience against adverse FD situations. The findings should apply to other emerging nations after careful consideration of country-specific factors.

The purpose of this paper is to explore the potential of generative AI-driven self-directed learning from the perspective of top management in the Sri Lankan software industry. By applying open innovation theory, the study aims to understand how business leaders perceive the integration of generative AI tools in organizational learning processes. The insights gained are intended to inform and encourage top management to promote generative AI-driven self-directed learning within their organizations.

The research utilized a qualitative approach, conducting semi-structured interviews with eight senior managers from IT companies in Colombo, Sri Lanka. Data was synthesized and analyzed thematically to identify patterns and insights regarding generative AI-driven self-directed learning and its organizational impact.

The study reveals that top management in Sri Lanka's software industry perceives generative AI-driven self-directed learning positively. This perception is rooted in the alignment of such learning with open innovation principles, emphasizing knowledge sharing, collaboration and the integration of external expertise to drive innovation. Generative AI tools empower employees to access diverse knowledge sources, fostering continuous learning and adaptability. Leaders recognize these tools' potential to enhance organizational innovation ecosystems and competitive advantage. The findings suggest that active support from top management, customized training programs and a culture that embraces continuous learning and innovation are crucial for successful implementation.

This paper uniquely explores generative AI-driven self-directed learning through the lens of top management in Sri Lanka's software industry, integrating open innovation theory to highlight its potential in enhancing organizational knowledge, collaboration and competitive advantage.

The model of pay-for-knowledge incentivizes individuals with financial rewards for sharing their expertise, facilitating a transactional exchange between knowledge providers (sellers) and seekers (buyers). While this model is effective in promoting paid contributions, its influence on free knowledge exchanges remains ambiguous, creating uncertainty about its overall impact on platform knowledge ecosystems. This study aims to explore the mechanim of how knowledge payment influences free knowledge contribution. Based on relational signaling theory, this study posits that a buyer’s payment for knowledge acts as a positive relational signal in the buyer–seller relationship and examines how the signaling effect varies across different social contexts through attribution theory.

This paper empirically tests the hypotheses by analyzing a data set comprising 630 instances from 359 unique knowledge sellers on Zhihu, a prominent knowledge-sharing platform in China. This paper use zero-inflated negative binomial models to conduct this analysis.

The findings reveal that when buyers pay for knowledge, this action positively influences sellers to contribute knowledge for free. However, the strength of this influence is moderated by the platform’s social functions: appreciation feedback tends to weaken this effect, while social network ties enhance it.

Prior research has predominantly focused on the financial incentives of pay-for-knowledge and its spillover effects on unpaid users’ activities. This study shifts the focus to the social dimensions of pay-for-knowledge, arguing that buyer-initiated knowledge payments signal buyers’ commitment to foster reciprocal relationships with sellers. It expands the literature on the relationship between knowledge payment and contribution, moving beyond financial incentives to include social factors, thus enriching our understanding of the interplay between paid and free knowledge activities. Additionally, the empirical evidence supports the efficacy of pay-for-knowledge in promoting both free and paid contributions within knowledge-sharing platforms.

Silence is a commonly seen phenomenon at the workplace. However, little is known about the cause and effect of leader silence. Drawing on the affective events theory, we develop a moderated mediation model to examine the effect of subordinates’ creative deviance on leader's authoritative silence and test the moderating effect of subordinates’ political skills.

Our research adopts a novel bottom-up perspective to investigate the subordinates’ influence on leader silence. A two-wave survey study involving 196 corporate team leaders in China was employed.

We found that leader’s workplace anxiety mediated the relationship between subordinates' creative deviance and leader's authoritative silence and subordinates’ political skills moderated the mediating effect.

Our research contributes to the leader silence literature in three folds. First, we employ the AET framework to study leader silence from the emotional perspective. Second, this research adopts a bottom-up angle to reveal the influence of subordinates’ behavior on leader silence. Third, the political skills lens offers novel explanation of why the anxious emotions triggered by followers’ creative deviance vary among leaders.

This study aims to explore whether seeking recommendations for doctors from offline word-of-mouth or online reviews influences patient satisfaction after treatment, and how the source of recommendation affects this effect.

Using a unique dataset of more than three million reviews from a popular Chinese online health community, this study used the coarsened exact matching method and built fixed-effect models to conduct empirical analysis.

The results suggest that selecting doctors according to recommendations can improve patient satisfaction and mitigate their dissatisfaction when encountering service failures. However, online recommendations were found to be less effective than offline sources in improving patient satisfaction.

This study provides important insights into patient satisfaction and doctor-patient relationships by revealing the antecedents of satisfaction and the potential for improving this relationship. It also contributes to the understanding of how recommendations in the healthcare context can improve patient satisfaction and alleviate the negative impact of service failures.

Although online reviews have become a key source of information for consumer purchasing decisions, little is known about how the concreteness of language used in these reviews influences perceptions of deception. This study aims to address this important gap by drawing on psycholinguistic research and Language Expectancy Theory to examine how and when the concreteness of online reviews (abstract vs concrete) impacts consumers’ perceived deception.

Two scenario-based experiments were conducted to examine how the concreteness of online reviews (abstract vs concrete) influences consumers’ perceptions of deception, considering the mediating role of psychological distance to online reviews and the moderating effects of Machiavellianism (Mach) and reviewer identity disclosure.

Online reviews that include concrete language lead to lower perceived deception by reducing consumers’ psychological distance from the review. For consumers with higher levels of Mach, online reviews written in abstract (vs concrete) language result in higher perceived deception via psychological distance, while for consumers with lower Mach, online reviews written in concrete (vs abstract) language result in higher perceived deception via psychological distance.

To the best of the authors’ knowledge, this study is one of the first to highlight the relevance of linguistic style (i.e. concrete review vs abstract review) on consumers’ perceived deception toward online reviews in the context of e-commerce.

The framework enables managers of online retailing platforms to identify the most effective strategies to decrease consumers’ perceived deception via the appropriate utilize of linguistic styles of online reviews.

This study contributes to both theory and practice by deepening knowledge of how and when the concreteness of online reviews (abstract vs concrete) affects consumers’ perceived deception and by helping managers of online retailing platforms make the most effective\ strategies for reducing consumers’ perceived deception toward online reviews during online shopping.

This paper aims to explore the current stage of biodiversity preservation in higher education institutions (HEIs), using samples from German universities and investigating three different dimensions, namely, existing approaches, challenges and future developments.

Semistructured expert interviews were conducted with employees from 14 German Universities. To analyze the data, both deductive and inductive methods of content analysis were conducted to systematically code the results.

This research shows that efforts for biodiversity preservation are frequently made in the areas of student and staff initiatives, green space management, as well as in research and teaching. However, German HEIs face numerous hurdles such as interest conflict, lack of prioritization and financial restrictions, some of which are difficult to overcome. In the future, HEIs should seek a deeper integration of biodiversity into curricula to further raise biodiversity awareness.

This study provides practical implications by providing good practices, which can serve as a guide for implementing measures for biodiversity preservation. By understanding the struggles and future expectations, stakeholders and policymakers could promote targeted measures and relevant policies to advance biodiversity initiatives at and beyond universities. Moreover, the research shows the importance of involving students and staff actively in the planning and executing stage for biodiversity preservation through initiatives to achieve green campuses.

The paper presents an essential research field which is still in its earlier stage. To the best of the authors’ knowledge, it is the first study that focuses on German Universities in this context. This study adds value in providing in-depth insights into this topic to raise awareness of biodiversity preservation in both practice and research.

The rapid evolution of digital innovation has significantly revolutionized the business landscape for entrepreneurs. Embracing digital innovation is crucial for all stakeholders to achieve sustainable development goals (SDGs) and promote sustainability. However, there is little understanding of how entrepreneurial leadership in developing nations has proactively responded to the challenge of digital innovation. Based on Drucker’s productivity theory, this study examines the relationship between entrepreneurial leadership (EL), digital orientation (DO) and digital capability (DC) as predictors of digital innovation (DI). The proposed model aims to establish the causal connections between variables and elucidate the complex interplay between digital innovation and the resulting outcome of sustainable performance (SP).

Two research studies were carried out in the Chinese IT industry to assess the efficacy of the theoretical framework among IT workers. Study 1 utilized a three-week, two-week time-lagged design (N = 299), while Study 2 used a two-week, four-week survey design (N = 341). The study used Smart-PLS 4.0 for data analysis.

The results showed that entrepreneurial leadership significantly impacts employee digital orientation and digital capabilities, fostering digital innovation. Moreover, digital innovation has a significant impact on sustainable performance.

The study’s findings allow authors to contribute to the existing scholarship on employee digital orientation, digital capabilities, digital innovation and sustainable performance in an emerging economy.

Revenue management (RM) is a significant technique to improve revenue with limited resources. With the macro environment of dramatically increasing transit capacity and rapid railway transport development in China, it is necessary to involve the theory of RM into the operation and decision of railway passenger transport.

This paper proposes the theory and framework of generalized RM of railway passenger transport (RMRPT), and the thoughts and methods of the main techniques in RMRPT, involving demand forecasting, line planning, inventory control, pricing strategies and information systems, are all studied and elaborated. The involved methods and techniques provide a sequential process to help with the decision-making for each stage of RMRPT. The corresponding techniques are integrated into the information system to support practical businesses in railway passenger transport.

The combination of the whole techniques devotes to railway benefit improvement and transit resource utilization and has been applied into the practical operation and organization of railway passenger transport.

The development of RMRPT would provide theoretical and technical support for the improvement of service quality as well as railway benefits and efficiency.

While the expatriation literature has explored cultural adjustment in considerable depth, it has largely overlooked the influence of cultural diversity in an expatriate’s home country. This study aims to address this shortcoming by investigating how home-country cultural diversity affects expatriate adjustment.

This study adopts a qualitative, inductive approach based on semi-structured interviews with a small number of Malaysian managers on international assignment in the Greater Brisbane area of Queensland, Australia.

The two key and related observations from the interviews are that, firstly, the existence of sizeable and profoundly distinct ethnic groups in an expatriate’s home country serves as an aid to successful adjustment, as it enhances cross-cultural understanding and communicative skills. Secondly, the positive effects of home-country cultural diversity are particularly felt by expatriates from ethnic minority groups in the home country due to their in-group and out-group interactions at home as well as their additional linguistic arsenal.

Multiculturalism is a polarising and contentious topic in the public debate in many countries around the world, frequently used for differing political purposes. But in a globalising world, it is unlikely to disappear any time soon, making it imperative for academic research to develop a better understanding of the phenomenon, from as many angles as possible, including from an international business perspective.

This study addresses an under-researched topic, namely how cultural diversity within an expatriate’s home country impacts adjustment. From the findings, this study also introduces a theoretical model for use in future research.