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The “Germanwings” air crash in 2015 in which 150 people were killed highlighted the challenges pilots working in the aviation industry face. Pilots regularly work for extensive periods in inhospitable and high-pressure operational conditions, exposing them to considerable work-related stress. This has raised calls for a more systemic cultural change across the aviation industry, championing a more holistic perspective of pilot health and well-being. The study aims to explore how peer coaching (PC) can promote an inclusive psychosocial safety climate enhancing pilot well-being and can mitigate hazardous attitudes and dysfunctional behaviours.

Adopting an interpretative phenomenological analysis (IPA), semi-structured interviews and questionnaires were conducted with military and civilian peer coach/coachee pilots and key industry stakeholders, totalling 39 participants. The research provided significant insights into the perceived value of PC in promoting both pilot health and mental well-being (MW) and flight safety across the aviation industry.

The study highlights four key PC superordinate themes, namely, coaching skills, significance of well-being, building of peer relationships and importance of confidentiality and autonomy. Such combined themes build reciprocal trust within peer conversations that can inspire engagement and effectively promote personal well-being. The contagious effect of such local interventions can help stimulate systemic cultural change and promote a positive psychosocial safety climate throughout an organisation and, in this case, across the aviation industry. This study provides a PC conceptual framework “Mutuality Equality Goals Autonomy Non-evaluative feedback, Skill Confidentiality Voluntary Supervisory (MEGANS CVS),” highlighting the salient features of PC in promoting MW.

The study highlights the salient features of PC and its role in promoting peer conversations that enable personal transition, openness and acceptance. This study also highlights how PC and well-being can be used to encourage inclusivity and engagement, thereby strengthening institutional resilience.

This study highlights how PC that can assist HRM/HRD professionals to embed a more inclusive and salutogenic approach to MW that can reshape organisational cultures. This study highlights the significance and link of workplace stress to hazardous attitudes and dysfunctional behaviours. It further notes that whilst the MEGANS CVS peer coaching framework has been applied to pilots, it can also be applied across all sectors and levels.

This study highlights the value of PC as an inexpensive means to engage at the grassroots level, which not only improves personal performance, safety and well-being but by building peer relationships can also act as a catalyst for positive and deep organisational cultural change.

This study offers the MEGANS CVS framework that exposes insights into PC practice that can assist HRM/HRD professionals embed a more inclusive and salutogenic approach to health and well-being that can reshape organisational cultures. This study highlights the significance and link of workplace stress to hazardous attitudes and dysfunctional behaviours, and whilst this framework has been applied to pilots, it can also have relevance across all sectors and levels. This study calls for a “salutogenic turn,” employing MW and PC to transform organisational capabilities to be more forward-thinking and solution-focused, promoting an inclusive “just culture” where leaders positively lead their people.

Chatbots are increasingly engaged in service marketing. Some academics and managers think using anthropomorphism chatbots will improve positive attitudes and behaviors in the customer journey, but at a high degree of anthropomorphism, consumers may experience negative emotions such as fear and disgust due to the feeling that the robots resemble humans too much, which is known as the uncanny valley effect. Therefore, the authors aim to explore whether chatbot anthropomorphism will promote or limit the development of the customer journey and explore the moderating factors and the antecedent factors affecting consumers' perceptions of chatbot anthropomorphism.

The authors collected 72,782 unique data points from 42 articles and 82 samples using a meta-analysis. Based on the stimuli-organism-response (SOR) model, the impact of anthropomorphic chatbots on the consumer journey was discussed.

The authors’ findings show that chatbot anthropomorphism positively impacts the customer journey but not their negative attitudes. Further moderator analysis reveals that the impact depends on service result, chatbot gender and sample source. The chatbot anthropomorphism is significantly influenced by social presence cues, emotional message cues and mixed cues.

This research contributes to the chatbot anthropomorphism literature and offers guidance for managers on whether and how to enhance chatbot anthropomorphism to facilitate the customer journey and improve service sustainability.

The objective of the study was to explore the factors influencing the career decisions of students doing the students' undergraduate (UG) and postgraduate (PG) programmes from urban private universities/colleges in the Indian context.

Career decision-making is determined by different factors and is contextual. The present study explores and identifies the prominent factors influencing career decision-making. A pool of 33 questions was developed, and these questions were initially administered to a sample of 233 students. Principal component analysis with Varimax Rotation identified salient factors. In the second study, confirmatory analysis was performed based on the opinion of 304 students.

The study shows that the student's career deciding factors include (1) career clarity, (2) career exploration, (3) career reward and recognition and (4) career initiative for professional and personal growth.

The study focussed on career-deciding factors for UG and PG students from urban universities/colleges in the Indian context and the findings can be used for planning career counselling interventions.

The research analyzes the influence of three environmental triggers, i.e. awareness, concern and knowledge on environmental attachment and green motivation that affect tourists' pro-environmental behavior in the Pakistan’s tourism industry. Furthermore, this study has analyzed the moderating role of moral obligation concerning environmental attachment and green motivation on tourists' pro-environmental behavior.

Data were gathered via a structured questionnaire by 237 local (domestic) tourists of Pakistan. Furthermore, the data were examined by employing SmartPLS.

Findings demonstrate that all three environmental triggers have a positive and significant relationship with environmental attachment and green motivation. Accordingly, environmental attachment and green motivation promote tourists' pro-environmental behavior. Furthermore, the moderating role of moral obligations has also been incorporated in the study. The finding reveals a strong and positive relationship among environmental attachment and tourists' pro-environmental behaviors during high moral obligations. In contrast, moral obligations do not moderate association between green motivation and tourists' pro-environmental behavior. Therefore, competent authorities should facilitate tourists to adopt environmentally friendly practices; which will ultimately promote pro-environmental behavior.

This study provides useful insights regarding the role of tourism in fostering environmental attachment and green motivation that sequentially influence tourist pro-environmental behavior. Secondly, this research has employed moral obligations as a moderator to identify the changes in tourists’ pro-environmental behavior based on individuals' ethical considerations. Hence, the study provides an in-depth insight into tourists' behavior. Lastly, the present research offers effective strategies for the tourism sector and other competent authorities to increase green activities that can embed the importance of the environment among individuals.

Exploiting an innovative measure of corporate culture based on machine learning and earnings conference calls, this study aims to investigate how corporate culture is influenced by hostile takeover threats. To sidestep endogeneity, this study uses a unique measure of takeover vulnerability principally based on the staggered implementation of state legislations, which are plausibly exogenous.

In addition to the standard regression analysis, this study also executes a variety of other empirical tests such as propensity score matching, entropy balancing and an instrumental variable analysis, to demonstrate that the results are robust. The final sample includes 27,663 firm-year observations from 4,092 distinct companies from 2001 to 2014.

This study documents that more takeover exposure weakens corporate culture considerably, consistent with the managerial myopia hypothesis. Threatened by the takeover risk, managers tend to behave myopically and are less likely to make long-term investments that promote strong corporate culture in the long run. Additional analysis focusing on a culture of innovation, which is especially vulnerable to managerial myopia, produces similar evidence.

To the best of the authors’ knowledge, this study is the first to explore the effect of takeover susceptibility on corporate culture using a distinctive metric of corporate culture based on textual analysis.

This study aims to conduct a bibliometric analysis of sustainable tourism research published in Scopus-indexed journals covering the period from 1997 to 2021. Articles published during these 25 years were subjected to science mapping and performance analysis to propose potential areas for future research.

A bibliometric analysis using performance analysis and science mapping was conducted on 1,754 research papers retrieved from the Scopus database using the keyword “sustainable tourism.” Biblioshiny and VOSviewer are commonly used bibliometric tools. Science mapping techniques use coauthorship, keyword co-occurrence and co-citation analyses.

This study revealed the sustainable tourism publications’ spatial and temporal patterns, indicating a yearly growth rate of 19.9% during a 25-year period. The study identified Stefan Gossling as the most influential author, the “Journal of Sustainable Tourism” as the leading journal and Australia as the most productive country in sustainable tourism literature. The study used co-citation analysis to identify five thematic clusters, namely, reconceptualization and criticism, the role of residents, eco-labeling and the role of stakeholders, community-based tourism and the shift toward establishing sustainability indicators and effective governance and policymaking. The coauthorship analysis identifies the most influential author in collaborative efforts, and the most common pattern of collaboration is between researchers from different institutions in the same country, such as China and the Philippines, followed by collaborations between authors from other countries. The keyword co-occurrence analysis uncovered keywords that aligned with theme clusters generated from the co-citation analysis.

This study comprehensively uncovers five thematic clusters that have never been extracted so far in the literature. Also, it attempts to fill the gaps related to sustainable tourism by suggesting directions for future research.

There is an extensive research stream devoted to evaluating host country political risk as it relates to foreign investment decisions, and in today’s geopolitical climate, this type of risk is becoming increasingly salient to business leaders. Despite notable advancements related to understanding the importance of government-related risk, inconsistent conceptualizations and findings remain. Thus, the purpose of this paper is to offer a comprehensive overview of how host country political risk has been conceptualized, measured and studied in relation to multinational enterprises' (MNEs’) investment decisions. After reviewing the relevant literature, five major aspects of non-violent (government type, public corruption, leadership change) and violent (armed conflict, terrorism) political risk were identified. The organization and review of each aspect of political risk provide insights on fruitful directions for future research, which are discussed.

To identify research articles on political risk and foreign investment, 13 leading management and international business journals were searched using relevant keywords (January 2000 to January 2023). Moreover, reviewing articles from these journals led to locating and reviewing additional relevant articles that the authors cited. Keyword searches were also conducted on Google Scholar and Web of Science in an effort to identify relevant articles outside of the 13 targeted journals.

Both violent and non-violent aspects of host country political risk have been studied in relation to MNEs' investment decisions. Specifically, five major aspects of host country political risk were identified (government type, public corruption, leadership change, armed conflict and terrorism). Although the general consensus is that risk related to the government often creates obstacles for MNEs, conceptualizations, measures and findings in prior research are not uniform.

This paper provides a comprehensive overview of host country political risk and foreign investment. In doing so, the aspects of political risk are identified, organized and overviewed.

The disposition effect remains one of the most significant investor behavior puzzles. This study aims to consolidate the knowledge, explore current dynamics, elicit trends and offer future research directions to demystify the disposition effect.

This study applies the hybrid review method. It first used bibliometric analysis (212 documents), followed by content analysis (54 articles) to analyze the breadth and depth of literature on the disposition effect.

This study presents performance analysis and science mapping. It identifies five main research streams: evidence, implications and mitigation techniques; theoretical explanations; investor biases and hedonic framing; attributes, beliefs and preferences; and implications for asset pricing and market efficiency. This study further offers future research directions for disposition effect research.

This study deploys sequential bibliometric and content analysis. A meta-analysis of quantitative articles could provide specific insights regarding the disposition effect. Besides, this study is based on Scopus-indexed journals only.

This study benefits investors and portfolio managers as they learn effective ways to guard against the disposition effect. Policymakers may tweak tax laws to incentivize long-term holding, and regulators can run investor education campaigns to minimize the disposition effect’s consequences effectively.

To the best of the authors’ knowledge, this is probably the first hybrid review of high-quality, contemporary articles on the disposition effect that offers science mapping, research streams, future research directions and a succinct summary of theories, contexts, characteristics and methods deployed in the field of research.

This paper aims to study the role of self-concept in consumer relationships with anthropomorphised conversational artificially intelligent (AI) agents. First, the authors investigate how the self-congruence between consumer self-concept and AI and the integration of the conversational AI agent into consumer self-concept might influence such relationships. Second, the authors examine whether these links with self-concept have implications for mental well-being.

This study conducted in-depth interviews with 20 consumers who regularly use popular conversational AI agents for functional or emotional tasks. Based on a thematic analysis and an ideal-type analysis, this study derived a taxonomy of consumer–AI relationships, with self-congruence and self–AI integration as the two axes.

The findings unveil four different relationships that consumers forge with their conversational AI agents, which differ in self-congruence and self–AI integration. Both dimensions are prominent in replacement and committed relationships, where consumers rely on conversational AI agents for companionship and emotional tasks such as personal growth or as a means for overcoming past traumas. These two relationships carry well-being risks in terms of changing expectations that consumers seek to fulfil in human-to-human relationships. Conversely, in the functional relationship, the conversational AI agents are viewed as an important part of one’s professional performance; however, consumers maintain a low sense of self-congruence and distinguish themselves from the agent, also because of the fear of losing their sense of uniqueness and autonomy. Consumers in aspiring relationships rely on their agents for companionship to remedy social exclusion and loneliness, but feel this is prevented because of the agents’ technical limitations.

Although this study provides insights into the dynamics of consumer relationships with conversational AI agents, it comes with limitations. The sample of this study included users of conversational AI agents such as Siri, Google Assistant and Replika. However, future studies should also investigate other agents, such as ChatGPT. Moreover, the self-related processes studied here could be compared across public and private contexts. There is also a need to examine such complex relationships with longitudinal studies. Moreover, future research should explore how consumers’ self-concept could be negatively affected if the support provided by AI is withdrawn. Finally, this study reveals that in some cases, consumers are changing their expectations related to human-to-human relationships based on their interactions with conversational AI agents.

This study enables practitioners to identify specific anthropomorphic cues that can support the development of different types of consumer–AI relationships and to consider their consequences across a range of well-being aspects.

This research equips marketing scholars with a novel understanding of the role of self-concept in the relationships that consumers forge with popular conversational AI agents and the associated well-being implications.

The purpose of this study is to shed light on the impact of economic policy uncertainty (EPU) on asset redeployability. Capitalizing on a novel measure of asset redeployability, the authors explore the effect of economic policy uncertainty (EPU) on redeployable assets using a unique text-based measure of EPU. Asset redeployability is an important aspect of sustainability that has been largely overlooked. More redeployable assets can be repurposed for a variety of uses, lessening the necessity for new products and thus conserving natural resources.

In addition to the standard regression analysis, the authors execute a variety of robustness checks, i.e. propensity score matching, entropy balancing, instrumental-variable analysis, GMM dynamic panel data analysis and use Oster’s (2019) approach for testing coefficient stability. Importantly, the authors incorporate firm fixed effects in the analysis, which helps mitigate endogeneity due to unobservable firm characteristics.

Based on an immense sample of over 200,000 observations over three decades, the results reveal that greater uncertainty raises asset redeployability significantly. The findings corroborate the managerial prudence hypothesis. The future deployment of assets is less predictable in times of increased uncertainty. Consequently, during uncertain times, it is more prudent to have assets that can be redeployed for multiple purposes.

To the best of the authors’ knowledge, this is the first study to explore the impact of EPU on asset redeployability, which is a critical aspect of sustainability that has rarely been investigated in the literature. The authors fill this important void in the literature. The authors extend the literature in EPU, asset redeployability as well as sustainability.