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Executive isolation, also known as workplace loneliness, its factors and impact are major issues for organizational development, future of work for leadership and learning culture. The purpose of this study is to examine the Executive isolation phenomenon where relationships between power distance, organizational culture and executive isolation of Chief Executive Officers (CEOs) are analysed on how it is considered by their teams. The same is contextualized through the inputs received through interviews conducted with CEOs and employee surveys.

The qualitative in-depth interviews of five CEOs, and survey across 34 of the 50 employees, were undertaken over the course of two phases of this study. The investigation focused on identifying executive isolation of CEOs and perspectives of employees that can impact the leadership and learning progress of organizations based on work culture, power distance and decision-making; awareness and experience of executive isolation; workplace friendliness and rejection; and management development initiatives to minimize the impact of executive isolation. Qualitative data analysis was conducted using MAXQDA 2022 (Verbi Software, Berlin, Germany), which is a qualitative data analysis software.

The findings highlight and expose the significant gap between understanding and analysing of the factors due to which the CEOs undergo executive isolation. It also extends to providing details related to the lack of awareness of the teams’ actions contributing to the CEOs’ isolation. It further highlights the fact that the difference of perspectives between the CEOs and teams leads to the organization slowing in its learning activities due to the leaders’ own challenges of executive isolation The findings also provide immense need of developing knowledge assets and management development initiatives for learning interventions, to help understand, analyse and mitigate executive isolation, in the interest of the organizational learning and development.

Earlier research work have contextualized the executive isolation impact on CEOs ability to be a leader. This study extends it to include the implications of leadership and learning culture on the teams that are affected by organization culture, power distance, decision-making and analysing the gap between the understandings about executive isolation of the CEOs. Eventually, it interprets how CEOs courting the executive isolation impacts the overall developmental culture of the organization. This will help in asserting the serious need of new learning frameworks needed to minimize the impact of CEO-level executive isolation.

Since the idea of “Unethical Pro-organisational Behaviour” (UPB) was introduced in 2010, a substantial corpus of empirical research has contributed to its expanding, contemporary knowledge. This includes research studies on how leadership exerts an influence on UPB. This paper aims to consolidate the current understanding of organisational leadership’s impact on employee UPB and offer future research agendas.

A systematic literature review (SLR) using the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses” (PRISMA) guidelines was adopted for the study. Literature that satisfied the search conditions was examined. The factors determining leadership’s influence on UPB were studied, and the findings were thematically synthesised.

Leader behaviour plays a large part in influencing UPB in organisations. Leader-member exchange and organisational belonging create favourable circumstances for UPB in organisations. UPB is moderated by the employee’s personal moral orientation.

UPB is unethical behaviour that benefits the organisation and is likely to be rewarded. However, there is a cost that other stakeholders pay. UPB has been researched since 2010, as well as the role of leaders in perpetuating UPB. However, there has not been an SLR of this study. This paper seeks to capture the essence of the research so far and pave a path for future research on the subject. These insights would prove valuable to management practitioners and academic experts.

This study aims to examine the problems of the concession system that Macao has long-term adopted to regulate its gaming industry and discuss alternatives.

Theoretical reflection was used to provide qualitatively different insights about governmental supervision of the gaming industry.

Two options for reform are proposed: (1) replace the concession system with a licensing system that does not restrict the number of concessionaires or the period of concession or (2) adopt a modified form of the concession system that changes the number of concessionaires, period of concessions and methods for selecting concessionaires.

This study’s results have implications for the Macao government and other gaming jurisdictions in Asia.

This study provides a comprehensive examination of the concession system for governmental supervision of the gaming industry.

This research investigates the effects of consumers' online information searching on their dining satisfaction in upscale restaurants during the pandemic. Customers frequently rely on online sources to gather information about upscale restaurants prior to their visits.

Data from 307 diners across the top ten popular upscale restaurants in Hong Kong were analysed by using SEM to explore the links between customers' needs, information search, restaurant attributes and customer satisfaction.

This study uncovers customers' online search behaviours and identifies restaurant attributes that are associated with customer satisfaction, which were not typically emphasised before the COVID-19 pandemic. Driven by their social and psychological needs, customers devoted more time to reading written comments by other consumers compared to visual images or self-descriptions from restaurants. Only service attribute significantly influenced customer satisfaction, while food and price attributes were not significant.

The findings of this study provide valuable insights for researchers and practitioners, shedding light on the altered needs and preferences of consumers following the unprecedented health crisis.

This study contributes to the development of expectancy disconfirmation theory and needs theory through the investigation of consumers' online information searching behaviours and dining satisfaction in upscale restaurants during the pandemic. By identifying the most important attributes influencing customer satisfaction, this research can aid upscale restaurants in developing effective marketing strategies and enhancing customer experiences.

The purpose of this paper is to understand the dark side of blockchain technology (BCT) adoption in small and mid-size enterprises. The focus of the authors is to decode the intricate relationship among the selected variables missing in the existing literature.

A focused group approach is initiated by the authors to identify the barriers. Total interpretive structural modeling, Matrice d'impacts croisés multiplication appliquée á un classment, that is, matrix multiplication applied to classification and decision-making trial and evaluation laboratory are used to analyze the complex relationships among identified barriers.

This study finds that implementation of BCT reduces maintenance cost by withdrawing manual effort, as BCT has better capability to quantify the internal status of the system (observability characteristic). The observability characteristic of BCT provides high compatibility to the system. This study also finds that the compatibility of BCT with the organization reduces implementation cost and facilitates project management. The findings of this study recommend analyzing maintenance cost and compatibility of BCT before implementing it. Small and mid-size enterprises can select complex BCT depending on the sophistication level of IT usage and IT project management capabilities.

This study comes with various limitations, where the model developed by the authors may not be conclusive, as it is based exclusively on expert opinion. The samples collected may not help in validating the model statistically. Though the model has its limitations, it can still be considered as a nascent initiative for further investigation using structural equation modeling.

The outcomes of the theoretical and managerial contributions of the study can be categorized into three levels. This study can be used both by the industrialists and researchers to understand the barriers and the recovery methods thereafter. Suggestions that serve as future directives are also discussed by the authors.

This study addresses the gap in research concerning student attitudes toward ethics and social responsibility (E&SR) within diverse organizational contexts, specifically as they transition into managerial and non-managerial roles.

A total of 425 business students from four universities participated. To determine statistically significant differences between potential managers and non-managers (M&NM), a paired comparison inferential t-test was employed.

The study revealed positive E&SR attitudes among business students. However, it differed from existing literature by finding a significant difference in perceived E&SR importance between aspirants in managerial and non-managerial positions. Notably, non-managerial students exhibited significantly stronger support for these principles.

This study, conducted in an emerging economy, offers a unique perspective by analyzing E&SR perceptions across both potential management and non-management employees. Given the direct and indirect influence employee perceptions have on business performance, this research sheds light on the crucial role of E&SR in management practices. The findings are further substantiated by robust data and include implications for human resource management, along with suggestions for future research directions.

Drawing on social exchange theory, this study aims to investigate the reciprocal relationship between an employee’s knowledge sharing and his or her coworkers’ responses to this focal contributor in terms of knowledge sharing and helping behaviors.

A two-wave online survey collected data from 84 respondents who provided ratings on each member on their team, representing 440 dyadic relationships. Hierarchical linear modeling analyzed the between-subjects and within-subject data simultaneously.

Employees generally reciprocate contributors’ knowledge sharing with an exact act (i.e. knowledge sharing) through the mechanism of peer respect. However, respect generated by knowledge sharing is enhanced only when the knowledge contributor is competent.

Research on how an employee’s knowledge sharing actually influences other members of a team is lacking. This study addresses this gap by examining responses to a team member’s knowledge sharing from a peer’s perspective. It also reveals when knowledge sharing is more pronounced in earning peer respect.

E-commerce companies use different types of dark patterns to manipulate choices and earn higher revenues. This study aims to evaluate and prioritize dark patterns used by e-commerce companies to determine which dark patterns are the most profitable and risky.

The analytic hierarchy process (AHP) prioritizes the observed categories of dark patterns based on the literature. Several corporate and academic specialists were consulted to create a comparison matrix to assess the elements of the detected dark pattern types.

Economic indicators are the most significant aspect of every business. Consequently, many companies use manipulative methods such as dark patterns to boost their revenue. The study revealed that the revenue generated by the types of dark patterns varies greatly. It was found that exigency, social proof, forced action and sneaking generate the highest revenues, whereas obstruction and misdirection create only marginal revenues for an e-commerce company.

The limitation of the AHP study is that the rating scale used in the analysis is conceptual. Consequentially, pairwise comparisons may induce bias in the results.

This paper suggests methodical and operational techniques to choose the priority of dark patterns to drive profits with minimum tradeoffs. The dark pattern ranking technique might be carried out by companies once a year to understand the implications of any new dark patterns used.

The advantages of understanding the trade-offs of implementing dark patterns are massive. E-commerce companies can optimize their spent time and resources by implementing the most beneficial dark patterns and avoiding the ones that drive marginal profits and annoy consumers.

This study aims to emphasize green energy-driven solutions to address environmental sustainability issues, particularly to promote the uptake of electric vehicles (EVs). This study intends to investigate user adoption of EVs as the existing predicament of converting car owners to EV buyers, demanding a push to create a facilitating environment for EV uptake.

A survey-based quantitative study involving 330 car owners and potential buyers was conducted involving four predictors, i.e. financial benefits, social influence, charging infrastructure and range consciousness. Environmental concerns and socio-demographic factors such as age, family income and gender were considered as moderators between these predictors and EV adoption intention. Partial least square structural equation modelling was used to analyse the proposed relationships.

The findings indicated that financial benefits (ß = 0.169, t = 3.930), social influence (ß = 0.099, t = 2.605), range consciousness (ß = 0.239, t = 3.983) and charging infrastructure (ß = 0.142, t = 4.8) significantly impact EV adoption. Family income was the most significant moderator with a large effect size (F square = 0.224), followed by environmental concern (F square = 0.182) and age (F square = 0.042) having a medium moderation effect and, subsequently, gender (F square = 0.010) as a mild moderator.

By analysing environmental concerns as a moderator, this study fosters a novel understanding of how environmental concerns impact EV adoption, which has not been explored. Additionally, the empirical assessment of the socio-economic and socio-demographic factors of EV adoption helps to offer a consumer perspective to the government and policymakers in undertaking initiatives to promote EV adoption.

The Healthy at Home (H@H) is an older adult day program that is in Toronto in Ontario, Canada. This is an integrated health and social care (IHSC) program that seeks to address the social isolation and health needs of a highly vulnerable older adult population living in the north Toronto communities. These are Russian-speaking Jewish older adult immigrants. The case provides a detailed description of the factors that enabled a diverse group of health and social care organizations to integrate their respective services to address the health and social care needs of their clients using a culturally appropriate and trauma-informed lens.

A case description comprised of key informant interviews, and a focus group was undertaken of representatives from health and social care organizations serving clients in the north Toronto area.

This case description identified eleven integration factors that enabled organizations to provide integrated care using a culturally appropriate and trauma-informed lens, and they include developing an aligned vision and goals, communications, an inter-organization culture of inter-dependence, champions, pre-existing relationships, and champions. In addition, operating in the not-for-profit sector, sector differences, enabling public policies and a strong sense of community have influenced integration of services across the organizational partners to serve its high-risk client group.

This case description lends insights into how IHSC can be leveraged to provide culturally appropriate and trauma-informed care for highly vulnerable client/patient populations. A lesson learnt is that social care partners can engage in successful integration leadership in joint health and social care integration efforts.