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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.

This compact case provides a relatively large data set that students explore using visualization and a Tableau dynamic dashboard that they create. Students were asked to describe what the data set contained in relation to employee attrition experience of Baca Beverage Distributors (BBD). The application and managerial questions are set in human resources and a company that is facing high attrition during the pandemic.

BBD shared their data and problem scenario for this compact case. The protagonist, Morgan Matthews, was the authors’ contact and provided significant clarification and guidance about the data. Both the company and the protagonist have been disguised. Some of the job positions have been rephrased. All names of employees, supervisors and managers have been replaced with codes.

During the 2020–2022 pandemic years, BBD experienced, like many companies, a higher than usual employee turnover rate and Morgan Matthews, Director of People, was concerned. Not only was it time-consuming, expensive and disruptive but the company had prided itself on being a good place to work. Were they hiring the right people, people that fit the company culture and people that fit the positions for which they were hired? The company had been using the Predictive Index [1] when on-boarding employees. In addition, there were results from self-reviews and manager reviews that could be used. Morgan wondered if data visualization and visual analytics would be useful in describing their employees and whether it would reveal any opportunities to improve the turnover rate. Before seeking a solution for the high turnover, it was important to step back and learn what the data said about who was leaving and the reasons they gave for leaving.

This compact case can be used in courses that include visualization using Tableau and dashboards. As it is a compact case, it requires less preparation time from the students and less class time for discussion. The case is for students who have been recently introduced to business analytics, specifically visualization and data storytelling with Tableau. For this reason, significant guidance has been provided in the case assignment. The level of the case can be adjusted by the amount of guidance provided in the case assignment. Courses include introduction to business analytics, descriptive analytics and visualization, communication through data storytelling. The case can be used for all modalities – in person, hybrid, online. The authors use it here for visualization and dynamic dashboards but using the same data set and compact case description, exploratory data analysis could be assigned.

Supplementary material for this article can be found online.

This study aims to identify specific factors that facilitate engagement and stay intention among Generation Z employees in the Indian banking, financial services and insurance (BFSI) context. Furthermore, using the frequency distribution of the identified factors, this study has ranked them in order of their association with stay intention.

Data were collected from 22 Gen Z employees working in the Indian private BFSI sector using unstructured interviews. Inductive content analysis was applied to identify the factors improving engagement and stay intention. Moreover, quantitative content analysis was applied to calculate the frequency distribution of the identified factors.

The study identified six prominent factors, namely, transformational leadership, employee investment practices, egalitarian practices, work-life balance, job crafting and sustainability, which significantly enhance employee engagement and stay intention among Gen Z employees. Moreover, based on the results of quantitative content analysis, it was found that transformational leadership exhibited the highest frequency in association with employee engagement and stay intention. Following this were employee involvement, egalitarian practices, work-life balance, job crafting and sustainability.

In the coming days, Generation Z will contribute to almost one-third of India’s workforce, of which the BFSI sector will be the major employer. However, the issue with this generation is their retention. Hence, the study identifies factors ensuring engagement and stay intention.

Owing to the paucity of research on stay intention as a variable of interest, this study tries to capture the perceptions of Gen Z towards factors inducing their engagement and stay intention. This study assesses intention to stay (ITS) as compared to intention to leave (ITL) as it is a proactive indicator of turnover. Lastly, this study uses a qualitative approach to identify factors influencing stay intention and engagement based on interactions with employees, which, to the best of the authors’ knowledge, no prior study has attempted.

COVID-19 pandemic has accelerated the adoption of home-based teleworking globally. Coupled with this, there are rising concerns about workplace cyberbullying. However, less studies have explored workplace cyberbullying in non-western countries. The purpose of the current study is to examine whether workplace cyberbullying affects employees' intention to stay and to find out the mechanisms underlying the relationship.

Data were collected among Indian home-based teleworkers. Data were analysed using SmartPLS and SPSS-PROCESS macro.

Results show that workplace cyberbullying negatively impacts intention to stay and affective commitment acts as a mediator between this link. The results also reveal that workplace social capital moderates the negative effects of workplace cyberbullying on affective commitment. The results further confirm that workplace social capital moderated the indirect impact of workplace cyberbullying on intention to stay via affective commitment.

This study highlights the potential of leveraging workplace social capital in order to reduce the negative effects of workplace cyberbullying.

These findings can complement the previous studies on the impact of negative work events on affective commitment and intention to stay as well as extend researchers' understanding of the underlying mechanism between workplace cyberbullying and intention to stay. Furthermore, this research explains how employees can utilise social resources from workplace social capital to mitigate the negative outcomes of workplace cyberbullying.

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 information used in the case study was obtained from secondary sources, such as internal documents, reports, news, and organization websites. Three of the four authors played a hands-on role in the case.

The COVID-19 pandemic exacerbated the global challenge of hiring and retaining health-care workers. To address its own challenges, Mayo Clinic decided to fundamentally transform its 30-year-old tuition assistance program: from a model centered on the premise that tuition assistance was an employee benefit for professional development purposes, to one that was more driven to meet the business needs of the employer by preparing internal talent for important roles throughout the institution. Herein, this case study first describes how the COVID-19 pandemic impacted health-care organizations like Mayo Clinic. Next, this study provides details on the original employee tuition assistance program, and then, focuses on the reasons for its need to be changed. Afterward, this study introduces the new tuition assistance programs. Finally, this study follows with examples of how both Mayo Clinic and its employees navigated through initial challenges, such as resistance to change and lack of engagement. In sum, this case study provides critical insight into designing workforce education programs that provide professional development for meeting the workforce needs of the organization.

This case can be used as teaching material in relevant undergraduate- and MBA-level courses, such as human resource management, human resource development and compensation and benefits. This case allows students to critically analyze workforce education programs (e.g. tuition assistance programs) and to plan how to strategically align those with the workforce needs of the organization.

The purpose of this study is to analyze the potential mediating role of employee engagement in the relationship between gratitude and subjective well-being (SWB) of employees working in the information technology (IT) sector in India. The study investigated a moderated mediation model for gratitude and SWB, treating employee engagement as a mediator and gender as a moderator.

Data was collected from 162 professionals working IT sector in India. Process Macro, AMOS and IBM SPSS 22 were used to analyze the mediation and moderation effects.

The results depicted that employee engagement fully mediates the positive association between gratitude practice and the SWB of employees as well as the demographic variable; gender also demonstrated a full moderation effect between them.

This research may be one of the few studies from the Indian context that explore whether gratitude practiced by employees working in the IT sector can play a significant role in impacting their SWB. Past research models had not introduced employee engagement’s indirect impact on the examined variables.

Talent management research today is increasing as organizational requirements attempt to meet the challenges of effectively managing talent to achieve organizations’ strategic agendas. However, in learning organizations specifically, investigations of talent management practices are limited, with this study exploring the role of talent management practices in employee satisfaction and organizational performance in Pakistan.

The study was conducted in various universities (public and private) in Pakistan using a quantitative approach. Cross-sectional data are collected through a questionnaire, with analysis and conclusions based on completed questionnaires from 403 respondents.

The study’s findings from the analysis by structural equation modeling (SEM) emphasize the positive and significant effects of most talent management practices (i.e. talent identification, talent development, talent culture and talent retention) on employee satisfaction and organizational performance (talent attraction is the exception). Employee satisfaction positively and significantly affects organizational performance and is found to have a mediating effect, bridging the relationships of most talent management practices (talent identification, talent development, talent culture and talent retention) with organizational performance.

The study’s findings support human resource professionals, academics and policymakers in managing talent practices to enhance organizational performance. The findings assist in developing core skills and talent-related competencies to achieve organizational goals and success.

The study fills the research gaps by developing a framework of talent management practices for employee satisfaction and organizational performance in learning organizations, which warrants further consideration.

This study aims to illustrate the mechanisms underlying the effect of stress on flow states in the context of a multilevel organization, in which case employees' perseverative cognition and reactions to challenge–hindrance stressors are affected by leader mindfulness.

Study 1 employed a three-wave time-lag survey, and study 2 conducted a diary study across 10 workdays to replicate the results of study 1. Multilevel structural equation modeling and Monte Carlo simulation were performed using Mplus 8.0 software to test all hypotheses.

Problem-solving pondering transmits the nonlinear effect of challenge stressors on flow, and affective rumination mediates the negative effect of hindrance stressors on flow. Leader mindfulness amplifies the tendency of followers to ruminate on the positive aspects of challenge stressors, consequently increasing their positive reactions and flow. Although leader mindfulness fails to influence followers to ruminate less on hindrance stressors, it negates the harmful effect of affective rumination on the flow experience.

This study is one of the first to examine the associations between stressor types and flow in the workplace. The authors also develop a new theory that highlights the ability of leader mindfulness to shape subordinates' stress, cognitions and reactions through social modeling and the authors identify the boundaries of its beneficial effects.

Though the concept of work engagement has been extensively explored in the academic literature, however, with engagement levels declining globally – causing hike in undesired employee attitudes and behaviours – there is a need to revisit its antecedents and consequences that bear higher current relevance. Within the context of the Indian information technology (IT) sector, this study aims to explore the role of job security and value congruence as two critical antecedents which not only lead to increased engagement levels but also consequently yield the enhanced perception of change, amplified general life satisfaction and reduced intent to leave among employees.

Data were collected from 363 software developers (SDs) in India using the survey questionnaire method and structured equation modelling was used to test the proposed measurement and structural model. The results supported the proposed hypotheses and confirmed the role of work engagement as a mediator between the studied antecedents and consequences.

Results from a study of 363 SDs across India support the proposed hypotheses and confirm the role of work engagement as a mediator between the studied antecedents and consequences.

This study was cross-sectional; therefore, caution is necessary while making any causal inferences. Further work based on longitudinal data would strengthen these findings.

The findings of the study will provide the decision-makers of IT companies with tools to increase engagement among SDs thereby increasing favorable outcomes for organizations and individual employees in the current times.

The study establishes job security and value congruence, as two critical yet cost-effective measures that today’s organization need to integrate into its human resources functions not just to boost employee engagement levels but also to control spiraling costs due to unintended turnover, employee’s resistance of organizational changes and employee ill-being. Future research avenues and practical implications have been discussed.