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The authors proposed a conceptual model by examining the influence of threats to their freedom on tourists’ psychological distance including social distance, spatial distance, and temporal distance, which effect psychological reactance and the consequent online Airbnb booking intentions. Furthermore, media intrusiveness as a moderator determines the boundary conditions between perceived threats to their freedom and social distance, spatial distance, and temporal distance.

Data was gathered from 491 Chinese travelers to provide empirical evidence. The authors performed data analysis in Amos 26.0 using structural equation modeling (SEM) and Hayes (2013) PROCESS macro.

The findings positively reinforced all the structural relationships of the study. Notably, media intrusiveness significantly moderates the association between perceived threats to their freedom and psychological distance (i.e. social distance, spatial distance, and temporal distance).

The findings contribute significantly to the field of social psychology, advertising, and consumer behavior derive prolific implications for policymakers and sharing economy platforms. Lastly, by identifying limitations, this research opens doors for future scholars.

Governments' acute precautionary measures in response to the COVID-19 outbreak have confined individual freedom across the globe. This study illuminates how tourists conceive these preventative measures as perceived threats to their freedom, and subsequently engage psychological reactance.

The COVID-19 outbreak reached a critical stage when it became imperative for public health systems to act decisively and design potential behavioral operational strategies aimed at containing the pandemic. Isolation through social distancing played a key role in achieving this objective. This research study examines the factors affecting the intention of individuals toward social distancing in India.

A correlation study was conducted on residents from across Indian states (N = 499). Online questionnaires were floated, consisting of health belief model and theory of planned behavior model, with respect to social distancing behavior initially. Finally, structural equation modeling was used to test the hypotheses.

The results show that perceived susceptibility (PS), facilitating conditions (FC) and subjective norms are the major predictors of attitude toward social distancing, with the effect size of 0.277, 0.132 and 0.551, respectively. The result also confirms that the attitude toward social distancing, perceived usefulness of social distancing and subjective norms significantly predict the Intention of individuals to use social distancing with the effect size of 0.355, 0.197 and 0.385, respectively. The nonsignificant association of PS with social distancing intention (IN) (H1b) is rendering the fact that attitude (AT) mediates the relationship between PS and IN; similarly, the nonsignificant association of FC with IN (H5) renders the fact that AT mediates the relationship between FC and IN.

The results of the study are helpful to policymakers to handle operations management of nudges like social distancing.

The research is one of its kind that explores the behavioral aspects of handling social nudges through FC.

This study aims to develop and test an original conceptual framework that examines the role of various factors borrowed from three theories (i.e. Institutional Theory, Resource-Based View and Diffusion of Innovation) in adopting Human Resource Analytics (HRA).

A new conceptual framework (research model) is developed based on previous research and coherent theoretical arguments. Its factors are classified using the Technology–Organization–Environment (TOE) framework. Research hypotheses are tested using primary data collected from 152 managers of Greek organizations. Empirical data are analyzed using the “Structural Equation Modelling” (SEM) technique.

The technological and organizational context proved extremely important in enhancing Organizational Analytics Maturity (OAM) and HRA adoption, while the environmental context did not. Relative advantage and top management support were found to significantly impact the adoption of HRA, while Information Technology (IT) infrastructure, human resource capabilities and top management support are crucial for increasing OAM. Overall, the latter is the most important factor in enhancing HRA adoption.

This study contributes to the limited published research on HRA adoption while at the same time it can be used as a guideline for future research. The novel findings offer insights into the factors impacting OAM and HRA adoption.

The transformative impact of digital innovations on education has reshaped academic landscapes, affecting both instructional methods and evaluation systems. This study delves into the realm of distance education, exploring the intricate dynamics of digital access, equity and inclusivity, with a particular focus on their influence on learning outcomes.

A comprehensive survey involving 360 participants was conducted to gather data on various facets of the digital learning environment. Descriptive statistics illuminated participants' perceptions, while digital access disparities were analyzed through a chi-square test. Structural equation modelling (SEM) assessed direct relationships, mediation and moderation analyses and elucidated the nuanced influence of demographic parameters.

Descriptive analysis revealed generally positive perceptions of digital learning, with some variability in aspects like accessibility of learning materials and Internet connectivity. Digital access disparities were evident across demographic parameters, highlighting significant associations with gender, education, income, geographic location, religious affiliation and field of study. SEM indicated robust positive associations between digital access and learning outcomes, strategies for enhancing equity and inclusivity and their combined impact on overall academic success.

This study contributes original insights by comprehensively analyzing the interplay of digital access, equity and inclusivity in distance education and their impact on learning outcomes. The research unveils nuanced disparities across demographic dimensions, emphasizing the need for targeted interventions. The study’s integration of SEM, mediation and moderation analyses adds a sophisticated layer to the understanding of these relationships.

We aimed to identify factors that influence student engagement in distance learning.

The research involved a group of 671 students from economic and technical higher education institutions in Poland. We collected the data with the CAWI technique and an original survey. Next, we processed the data using principal component analysis and then used the extracted components as predictors in the induced smoothing LASSO regression model.

The components of the students’ attitude toward remote classes learning conditions are: satisfaction with teachers’ approach, attitude to distance learning, the system of students’ values and motivation, IT infrastructure of the university, building a network of contacts and communication skills. The final model consisted of seven statistically significant variables, encompassing the student’s sex, level of studies and the first five extracted PCs. Student’s system of values and motivation as well as attitude toward distance learning, were those variables that had the biggest influence on student engagement.

The research result suggests that in addition to students’ system of values and motivation and their attitude toward distance learning, the satisfaction level of teachers’ attitude is one of the three most important factors that influence student engagement during the distance learning process.

The main value of this article is the statistical model of student engagement during distance learning. The article fills the research gap in identifying and evaluating the impact of various factors determining student engagement in the distance learning process.

The purpose of this study is to provide insights and guidance for practitioners in terms of ensuring rigorous ethical and moral conduct in artificial intelligence (AI) hiring and implementation.

The research employed two experimental designs and one pilot study to investigate the ethical and moral implications of different levels of AI implementation in the hospitality industry, the intersection of self-congruency and ethical considerations when AI replaces human service providers and the impact of psychological distance associated with AI on individuals' ethical and moral considerations. These research methods included surveys and experimental manipulations to gather and analyze relevant data.

Findings provide valuable insights into the ethical and moral dimensions of AI implementation, the influence of self-congruency on ethical considerations and the role of psychological distance in individuals’ ethical evaluations. They contribute to the development of guidelines and practices for the responsible and ethical implementation of AI in various industries, including the hospitality sector.

The study highlights the importance of exercising rigorous ethical-moral AI hiring and implementation practices to ensure AI principles and enforcement operations in the restaurant industry. It provides practitioners with useful insights into how AI-robotization can improve ethical and moral standards.

The study contributes to the literature by providing insights into the ethical and moral implications of AI service robots in the hospitality industry. Additionally, the study explores the relationship between psychological distance and acceptance of AI-intervened service, which has not been extensively studied in the literature.

The existing research on institutional distance implicitly posits the monotonic effect of contextual differences on the multinational enterprise (MNE) behaviors (e.g. entry mode, research and development (R&D) investment and subsidiary reverse knowledge transfer). Namely, MNEs from the same home to the same host countries are thought to have homogenous perceptions on the institutional influences and thus behave similarly. However, the authors argue that MNEs, due to their different performance aspirations in host countries, will have heterogenous perceptions on such contextual influences and thereafter behave differently.

Drawing on the behavioral theory of the firm and employing a unique sample comprised of 140 Chinese MNEs' foreign direct investments (FDIs) in Taiwan in 2017, the authors developed and tested the hypotheses.

The authors found that the emerging-market MNEs' (EMNEs’) perceptions of higher local institutional difficulties will be strengthened when their local performances are below their aspiration levels, making them more risk-taking. Nevertheless, EMNEs' local experiences and local equity-based partnerships will mitigate such negative perceptions, mitigating their risk-taking orientation.

The empirical findings make contributes to the international business (IB) literature by extending knowledge on the determinants and conditions of the heterogeneity in EMNEs' behavioral orientations when in face of the same institutional distance. The authors also provide managerial implications by showing that EMNEs' firm-specific resources (i.e. local experience and local equity-based partnership) will alter their perceptions of local institutional difficulties, leading to different behavioral orientations.

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.

Based on social cognitive theory, this study aims to explore the influence of supervisor bottom-line mentality (SBLM) on employee knowledge behavior (knowledge territorial behavior and knowledge sabotage behavior). The study first investigates the role of an ethical decision-making mechanism (moral disengagement) in mediating this relationship. In addition, it considers the possible boundary conditions to supplement research on the influence of SBLM in the knowledge management field.

The authors collected 256 data points from employees across three stages using convenience sampling. The authors then tested the proposed hypothesis using hierarchical regression and bootstrap methods.

The results demonstrated that SBLM promotes employees’ moral disengagement, leading to more knowledge territorial behavior and knowledge sabotage behavior. Furthermore, high power distance orientation among employees exacerbates the ill effects of SBLM according to the first stage of a moderated mediation model. Employees with such an orientation are more likely to respond to a SBLM by exhibiting a higher level of moral disengagement, thus increasing their knowledge territorial behavior and knowledge sabotage behavior.

Research on the influence of SBLM in the knowledge management field is limited. This study not only clarifies the relationships between SBLM and two types of knowledge behavior (knowledge territorial behavior and knowledge sabotage behavior) but also enriches the research on the antecedents of these two types of knowledge behavior.

Grounded in the transformational leadership theory, conservation of resource theory and job demands-resources model, this paper aims to examine the effect of transformational leadership on psychological empowerment and employee engagement of faculty members in Bangladesh and Thailand. This study also integrates Hofstede’s cultural dimensions theory to justify whether transformational leadership could affect psychological empowerment of faculty members in these two countries differently.

Survey data were collected from a total of 457 faculty members from two universities in Bangladesh (n = 243) and two universities in Thailand (n = 241). This study used partial least squares structural equation modeling for analyzing the proposed model.

The evidence shows that faculty members who worked for department heads and who exhibited transformational leadership demonstrated high level of psychological empowerment and employee engagement. Psychological empowerment also mediates the effect of transformational leadership on employee engagement. Moreover, the degree to which transformational leadership positively affects psychological empowerment is stronger for faculty members in a higher power distance culture (Thailand) than for those faculty members in a lower power distance culture (Bangladesh).

Because human capital plays a crucial role in determining the potential of universities to achieve superior performance, universities should provide leadership training to help department heads understand the key elements of transformational leadership and apply them in their management practices to promote empowerment and engagement of their faculty members.

The finding provides new evidence that broadens the knowledge from existing research about the cross-cultural effectiveness of transformational leadership, which has not been explored in the area of psychological empowerment.