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The current study aimed to examine the moderating role of perceived supervisor support in the nexus between employee empowerment and organizational commitment in the Ghanaian hospitality industry.

A quantitative research design was adopted, and data were collected from 274 frontline workers from 4-star and 5-star hotels at two different waves within a 7-month interval. The data received were analyzed using descriptive and inferential statistics with the aid of Statistical Package for Social Sciences (SPSS V. 23.0) and SmartPLS (V.4.0), respectively.

As hypothesized in the study, employee empowerment was significantly related to organizational commitment. Furthermore, the results revealed that perceived supervisor support moderated the nexus between employee empowerment and affective and continuance commitment but did not moderate the nexus between employee empowerment and normative commitment.

Arguably, support from supervisors has been theoretically identified as a key construct in enhancing subordinates' commitment to an organization. However, less is known in the literature about the moderating role of perceived supervisory support in the nexus between employee empowerment and organizational commitment, especially in the Ghanaian hospitality industry.

The purpose of this study is to target utilizing Human resources (HRs) data analytics that may enhance strategic business, but little study has examined how it affects components. Data analytics, HRM and strategic business require empirical investigations and how to over come HR data analytics implementation issues.

A semi-systematic methodology for its evaluation allows for a more complete examination of the literature that emerges theoretical framework and a structured survey questionnaire for quantitative data collection from IT sector personnel. SPSS analyses data.

Future research is essential for organisations to exploit HR data analytics’ performance-enhancing potential. Data analytics should complement human judgment, not replace it. This paper details these transitions, the important contributions to theory and practice and future research.

Data analytics has grown rapidly and might make HRM practices faster, more efficient and data-driven. HR data analytics may improve strategic business. HR data analytics on employee retention, engagement and organisational success is insufficient. HR data analytics may boost performance, but there is limited proof. The authors do not know how HRM data analytics influences firms and employees.

Data analytics offers HRM new opportunities, along with technical and ethical challenges. This study makes a significant contribution to HR data analytics, evidence-based practice and strategic business literature. In addition to estimating turnover risk, identifying engagement factors and planning interventions to increase retention and engagement, HR data analytics can also estimate the risk of employee attrition.

The purpose of this research is to explore the dynamics of using strategic human resource management (SHRM) practices in the public sector. More specifically, this paper tries to point out some main aspects of SHRM, which strongly influence the decision of employees to stay. The empirical study here tends to reveal greater insights into the SHRM-retention relationship and its validation at the National Bank of Egypt (NBE).

This research is co-relational in nature with cause and effect approach. The design of the study is both descriptive in the theoretical part and quantitative in the applied one. Theoretically, this paper adopted the analytical approach to define the main concepts, aside from an empirical study to investigate correlations in practice.

This paper concludes that the employment of best HRM practices is deemed a remarkable strategic tool in the retention of core public employees. Also, the results of analysis provide evidence that SHRM contributes to employee retention at NBE.

The findings and recommendations of this research can practically guide management to devise effective policies to improve employee retention using appropriate SHRM activities, particularly in the Egyptian public organizations.

This research has valuable implications for both theory and practice, as it offers several contributions to literature in the field of study, as well as the practical contribution.

The purpose of this two-part study is to systematically review, analyze and critically synthesize the current state of empirical research on knowledge loss induced by organizational member turnover (KLT).

A systematic literature review was conducted based on 91 empirical studies on KLT.

Part I of the study contributes to the advancement of KLT scholarship by mapping key developments in empirical research on KLT (publication trends, methodological and theoretical foci, heterogeneity of geographical, industrial and organizational contexts); encapsulating KLT antecedents associated with both voluntary and involuntary turnover; and revealing a broad scope of KLT effects at organizational and unit level.

This study has limitations related to inclusion/exclusion criteria used for creating the review sample and the “Antecedents–Phenomenon–Outcomes” logic used to synthesize the findings.

Part I of the study offers a systematic synthesis of KLT empirical research with respect to KLT antecedents, outcomes and factors affecting them.

This paper aims to emphasize the need for a strategic approach to employee retention beyond financial benefits. This is directly proportional to employee retention. Bringing out the retention measures preferred by employees, depicting the relationship of demographic profile with employee retention tendency and exploring implications giving importance to beyond paycheque factors are the objectives of the study.

This study uses applied qualitative approach with a realistic view to collect the details of retention measures and practices from purposively selected 36 health-care experts by the conduct of interview using a one-to-one discussion with written notes. With quantitative approach, opinion survey was administered to receive the perceived opinion of randomly selected 350 health-care employees on paycheque and on beyond paycheque factors boosting their intention to stay. Bhattacharya and Ramachandran’s health-care study framework on retention was applied for the identification of the factors.

Both paycheque and beyond paycheque benefits are important for retention. Most respondents prefer beyond paycheque factors practiced at sampled hospital. Age, marital status and residence of employees are significantly associated with retention. The strategic initiatives of the sampled hospital to retention concerning motivational needs of employees in the workplace are thank you board, camp head, ad act camp, success corner and so forth.

Addressing health-care work and relationship-related issues in terms of employee retention giving importance to beyond paycheque benefits – remedy for compassion fatigue health-care employees face in routine works, meeting promises made by management regarding paycheque or beyond paycheque benefits, employees participative in decisions in medical, clinical and in functional areas, reducing workload and role stress by the conduct of role analysis.

Many research studies are emphasizing the contribution of financial benefits to employee retention. Only a few studies have been carried out exploring and emphasizing the importance of beyond financial benefits motivating employee retention. This is the study of evidence from a hospital that gives strategic importance to beyond paycheque elements as well as paycheque elements.

Research on workplace stress measurements varied without much accuracy and effectiveness. The purpose of this paper is to introduce a new quantitative assessment tool emWave Pro Plus (Institute of HeartMath) and compare heart rate variability (HRV) results with the Personal and Organizational Quality Assessment (POQA) and the Perceived Stress Scale (PSS).

This research opted for a correlational study which involves 85 full-time employees who were working at least 40 h per week in a large corporation participated in this study. The POQA and PSS were used to correlate with HRV.

Astonishing findings emerged in this study. Significant positive correlations were found between emotional stress and HRV, and between intention to quit and HRV. In other words, the researchers have to make sense the following surprising findings: the higher the emotional stress an employee faces, the healthier they are. Healthier employees may have higher intentions of quitting their jobs. The surprising results may be attributed to personality, culture, emotional regulation and age among others.

This research fulfills an identified need to validate quantifiable stress measurements especially in a corporate environment. The research also shows promising results, and future studies should continue to tap into HRV as an objective measure of mental health and workplace stress.

The hospitality and tourism industry faces a number of workforce challenges, especially the high turnover rates and associated replacement costs associated with continually identifying and hiring new employees. The purpose of this paper is to discuss how hospitality and tourism organizations can use electronic human resource management (eHRM) and artificial intelligence (AI) to help recruit and select qualified employees, increase individual retention rates and decrease the time needed to replace employees. Specifically, it discusses how e-recruiting and e-selection and AI tools can help hospitality and tourism organizations improve recruiting and selection outcomes.

Research on eHRM, AI, employee recruitment and employee selection are applied to the hospitality and tourism industry and insights for how eHRM and AI can be applied to the industry are discussed.

eHRM and AI have the potential to transform how the hospitality and tourism industry recruit and select employees. However, care must be taken to ensure that the insights gained and the decisions made are well received by employees and lead to better employee and organizational outcomes.

This paper represents the first research that integrates research from eHRM and AI and applies it to the hospitality and tourism industry.

This paper represents the first research that integrates research from eHRM and AI and applies it to the hospitality and tourism industry.

Artificial intelligence (AI) can enhance human resource resiliency (HRR) by providing the insights and resources needed to adapt to unexpected changes and disruptions. Therefore, the present research attempts to develop a framework for future researchers to gain insights into the actions of AI to enable HRR.

The present study used a systematic literature review, bibliometric analysis, and network analysis followed by content analysis. In doing so, we reviewed the literature to explore the present state of research in AI and HRR. A total of 98 articles were included, extracted from the Scopus database in the selected field of research.

The authors found that AI or AI-associated techniques help deliver various HRR-oriented outcomes, such as enhancing employee competency, performance management and risk management; enhancing leadership competencies and employee well-being measures; and developing effective compensation and reward management.

The present research has certain implications, such as increasing the HR team's proficiency, addressing the problem of job loss and how to fix it, improving working conditions and improving decision-making in HR.

The present research explores the role of AI in HRR following the COVID-19 pandemic, which has not been explored extensively.

This paper aims to unpack how small and medium-sized enterprises (SMEs) can operationalise coopetition in talent management, addressing ongoing talent shortages in the hospitality industry which were intensified during the Covid-19 pandemic.

This conceptual paper draws from literature on coopetition and talent management in SMEs. Specifically, the authors take an interorganisational talent pool lens and develop a framework following the principles of open-systems theory.

The authors find that the traditional use of talent pools is often impractical for SMEs because of a lack of resources and capabilities. Instead, interorganisational talent pools, through coopetition in talent management, can aid these firms to address talent shortages. The authors identify potential for SME coopetition at various stages, including attraction, development and retention of talent.

Coopetition in talent management can aid industries in establishing market-thickening pipelines. Through co-attracting, co-developing and co-retaining talent, SMEs can create interorganisational talent pools. To develop talent management coopetition, a set of prerequisites, catalysts and potential inhibitors must be analysed and managed.

This paper moves the talent management debate beyond competition for talent, introducing coopetition as a viable alternative. Taking an open-systems perspective, the authors develop an integrative framework for coopetition in talent management in SMEs encompassing input, process and output components. The authors reveal the dynamic and complex nature of this coopetition process, highlighting the essential role of coopetition context and illustrating open-system principles.

The purpose of this paper is to examine innovation in the resource-constrained context of India’s healthcare industry. It is argued that the process of innovation in addressing healthcare management challenges in such a context occurs through organisational ambidexterity and that human resource management (HRM) plays an important role.

A qualitative research methodology is applied to explore the role of HR practices in facilitating contextual ambidexterity and subsequent innovations in healthcare in India. The unit of analysis is the “case” of healthcare providers in India and in-depth interview and documentary data in two case sites are analysed to reveal the role of HRM in facilitating contextual ambidexterity and innovation. Data analysis was undertaken first at a within-case and then at a cross-case analysis level using interpretive manual coding based on how the data explained the role of HRM in delivering innovative outcomes and supporting organisational ambidexterity.

The authors found evidence of the use of sets of high-involvement HRM practices for exploration of new ideas and efficiency-driven HRM practices for creating contextual ambidexterity in the case organisations. Further, managerial/leadership style was found to play an important role in creating cultures of trust, openness, risk-taking and employee empowerment, supported by an appropriate mix of intrinsic and extrinsic rewards. Finally, training was also reported as being central to creating an ambidextrous context for delivering on various innovations in these healthcare providers.

This study represents an exploration of innovation in the context of India’s healthcare sector through intersecting literatures of ambidexterity, innovation and HRM practices. In light of the emerging economy research context, an important empirical contribution is palpable. Moreover, through a study design which included collecting data from multiple informants on the role of human resources in facilitating innovative outcomes, the authors reveal the role of HR-related initiatives, beyond formal HR practices in creating contextual ambidexterity. This study also reveals the degree to which contextual idiosyncrasies enhance our understanding of the role of HR in facilitating innovation in emerging economies.