Search results

Purpose of This Chapter: This study examines the relationship of ambidextrous leadership with employee voice behaviour, underscoring the intervening role of employee thriving.

Design / Methodology / Approach: This study proposes a conceptual framework based on an extensive literature review using the conservation of resource theory, social exchange theory, and the broaden-and-build theory of positive emotions.

Findings: This study demonstrates that employee thriving act as an underlying mechanism explaining the relationship between ambidextrous leadership and employee voice behaviour.

Research Limitations: Being a conceptual study, the proposed framework lacks empirical validation.

Practical Implications: Organizations should focus on leaders with flexible behaviours who understand situational necessities to adopt diverse leadership styles and contribute to employee thriving.

Originality: This is one of the first studies to propose the role of ambidextrous leadership in impacting and enhancing change in employee voice through employee thriving at work. By introducing a framework that delves into the unexplored territory of ambidextrous leadership, acting as a catalyst for enhancing employee voice via the lens of employee thriving. This study provides a fresh perspective and adds value to the evolving conversations around employee voice behaviour.

Purpose of This Chapter: This chapter aims to clarify how employee voice (EV) is conceptualized in the extant literature. Then, the present chapter develops a model of EV based on previous studies from 1970 to 2022.

Design / Methodology / Approach: In all, 53 articles were investigated in this study – the focus was on articles in the field of management. The target articles were limited to those which were written in English and were indexed by the Web of Science (WOS).

Findings: The concepts related to EV have been presented in five main dimensions. The content analysis results revealed a theoretical agreement over the central elements reflecting an integrated description of EV.

Research Limitations: The study was limited to the sources published in the WOS database, which could affect the scope of findings.

Research Implications: The conclusion showed that EV is a multi-dimensional, emerging field that has been undergoing a definitional debate in the literature. This concept indicates an ongoing responsibility for the public’s benefit, welcomes different financial activities to supply market forces’ requirements, and investigates society’s existing demands.

Originality: It represents the first attempt to conduct an EV systematic literature review based on the definition of key factors and the complex relations in a typical EV process. Also, according to the review of selected articles from 1970 to 2022, there has been no coherent conceptualization of employees’ voices.

The existing literature on abusive supervision, defined as a perception by subordinates that their supervisor displays hostility toward them (but falling short of physical abuse), is deficient insofar as it fails to account for workgroup differences in employees' perceptions of abusive supervision. We therefore sought to study such differences, which refer to as “abusive supervision dispersion (ASD).”

We interviewed 40 employees from a variety of organizations in Australia, focusing on the role of affective events in ASD dynamics, with a view to understanding how this phenomenon relates to individual and team processes.

We found that ASD stimulates employees to harbor negative emotions and resentment toward their supervisor, causing them to perceive even positive events negatively. We found further that, while low ASD facilitates team-member exchange by forcing abused members to band together resulting in low team conflict, high dispersion facilitates formation of subgroups and high team conflict.

These findings illuminate the paradoxical nature of ASD and suggest that employees experience dispersion through three paradoxes: (1) dispersion paradox, (2) resentment paradox, and (3) team paradox. Overall, these findings suggest that subordinates' perceptions of high ASD are associated with detrimental impacts on team performance.

After summarizing what has been learned so far, the purpose of this review is to suggest several promising avenues for future research on work-to-family enrichment (WFE) and family-to-work enrichment (FWE).

This is a literature review. After reviewing the existing research and searching for gaps in the literature, new areas of research will be proposed to fill these gaps.

While much has been learned about the antecedents and consequences of work–family enrichment in both directions, WFE and FWE, much remains to be learned.

Three important outcomes – job performance, organizational citizenship behavior, and counterproductive work behavior – need to be studied regarding WFE and FWE. Although supervisor support has been studied, the field needs to incorporate leadership theories and models to understand this phenomenon. Additional predictors of work outcomes – including emotional intelligence, leadership, emotional labor, social support, gender, and cross-cultural variables – need to be examined. Experience sampling methods and advanced research methodologies should also be used.

Although prior research has demonstrated the important effects of WFE and FWE, the practical effects on organizations in terms of job performance still need to be investigated.

The literature review conclusively demonstrates that WFE and FWE are both related to job satisfaction and family satisfaction.

This is the first review to summarize the existing meta-analytical research in this area and to propose the particular avenues of research advocated in this article.

Purpose of This Chapter: >The study examines the importance and effect of working over office hours and lengthy commutes on work–life balance because both consume time away from the official working hours. The study utilized perceived organizational support to measure the moderating role of working over office hours, lengthy commutes, and work–family balance.

Design / Methodology / Approach: An inferential statistics cross-sectional study collected data from 437 full-time employees of IT-BPM companies in 5 metropolitan cities in India. The study used the PLS-SEM to examine the hypotheses.

Findings: The results show a negative relationship between working over office hours and lengthy commutes on work–family balance. This study also found the moderating effect of perceived organizational support on working over office hours and lengthy commutes on the work–family balance. Also, the study revealed that half of the respondents spend three hours, and one-fourth of the respondents spend four and half hours working over office hours and lengthy commutes.

Research Limitations: This research is limited to IT-BPM companies in India. Nevertheless, the findings highlight the factors associated with IT-BPM employee work–family balance, and only two factors were identified.

Practical Implications: This study enhances the work–family balance’s theoretical and practical effects. The results provide a competitive benchmark for IT-BPM managers, administrators, and governing bodies of employee well-being.

Originality: To the best of the author’s knowledge, this study is the first to adopt extrinsic variables in work–family border theory to measure the work–family balance of IT-BPM employees.

Artificial Intelligence (AI) has revolutionised the tourism industry, offering personalised experiences and streamlining operations. AI provides customised recommendations for travellers through data analysis and machine learning, making their journeys more meaningful. It has also improved efficiency through automated processes, chatbots and enhanced security measures. AI's ability to analyse large volumes of data enables tourism organisations to make data-driven decisions and target their marketing strategies effectively. One of the most notable contributions of AI in tourism is its ability to offer personalised recommendations. By analysing vast travel history, preferences and online behaviour, AI systems can provide tailored suggestions for destinations, accommodations, activities and dining options. This level of customisation enhances the overall travel experience, making it more relevant and satisfying for individual travellers. AI has also greatly improved operational efficiency within the tourism sector. Chatbots, powered by natural language processing, are increasingly being deployed by hotels, airlines and travel agencies to provide instant customer support and assistance. These chatbots can answer queries, offer recommendations and handle booking processes, reducing waiting times and enhancing customer satisfaction. In addition, facial recognition technology allows for quick and accurate identity verification at airports, hotels and other travel-related facilities. This improves security and provides travellers with a seamless and efficient experience. As technology advances, we expect AI to play a more prominent role in augmented reality, voice recognition and virtual assistants, further enhancing the travel experience and facilitating seamless interactions. In conclusion, AI has transformed the tourism industry by providing personalised recommendations, improving operational efficiency, enhancing security measures and enabling data-driven destination management.