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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.

At the beginning of the 21st century, multiple and diverse social entities, including the public (consumers), private and nonprofit healthcare institutions, government (public health) and other industry sectors, began to recognize the limitations of the current fragmented healthcare system paradigm. Primary stakeholders, including employers, insurance companies, and healthcare professional organizations, also voiced dissatisfaction with unacceptable health outcomes and rising costs. Grand challenges and wicked problems threatened the viability of the health sector. American health systems responded with innovations and advances in healthcare delivery frameworks that encouraged shifts from intra- and inter-sector arrangements to multi-sector, lasting relationships that emphasized patient centrality along with long-term commitments to sustainability and accountability. This pathway, leading to a population health approach, also generated the need for transformative business models. The coproduction of health framework, with its emphasis on cross-sector alignments, nontraditional partner relationships, sustainable missions, and accountability capable of yielding return on investments, has emerged as a unique strategy for facing disruptive threats and challenges from nonhealth sector corporations. This chapter presents a coproduction of health framework, goals and criteria, examples of boundary spanning network alliance models, and operational (integrator, convener, aggregator) strategies. A comparison of important organizational science theories, including institutional theory, network/network analysis theory, and resource dependency theory, provides suggestions for future research directions necessary to validate the utility of the coproduction of health framework as a precursor for paradigm change.

Based on the stimuli-organism-response model and relationship marketing theory, the effect of different dimensions of Servicescape (Ambience, Cleanliness, Functionality, Spatial Layout, Employee Service Quality) on Customer Satisfaction and Behavioral Intention in hospitals during the COVID-19 pandemic are considered.

The study takes a quantitative approach, applying structural equation model using partial least square structural equation modeling to test the hypotheses. A total of 360 responses were collected using questionnaires distributed to different individuals who visited private hospitals in the past two months in India.

Contradicting previous research, this study found that among servicescape dimensions, employee service quality had the maximum influence on customer satisfaction and cleanliness does not have any significant impact on customer satisfaction as hypothesized. Mediation results show that customer satisfaction has a partial mediation effect for all servicescape dimensions except ambience, as both direct and indirect effects are significant. Importance-performance map analysis was performed on the responses collected, and it was found that employee service quality is the most important dimension affecting servicescape, followed by functionality and spatial layout. Thus, health-care institutions should focus on these factors to keep their customers satisfied.

Past studies have focused on the roles of servicescape and customer satisfaction separately. The authors have extended the literature by examining the combined effects of both servicescape and customer satisfaction. The findings from the study, therefore, help in developing a deeper understanding of the literature on the behavior intention relationship in the context of health care, as well as in service marketing.

High performance of new hires is of imminent interest to organizations in the hospitality sector. Yet, limited studies have focused on the relevant traits of new hires that improve on-job performance. This study aims to identify and understand a few critical traits that predict high performance across multilevel roles within the hospitality sector.

Drawing on the human capital theory, through a time-lagged field study spanning 16 months, this study used multisource data for 540 active job opportunities and 205 new hires within the hospitality industry. This study used partial least squares-based structural equation modeling and analyzed the various traits that predict high on-job performance.

This study finds that humility is a significant predictor of job performance and wholly mediates the effect of interpersonal understanding, self-confidence and flexibility on new hires’ performance.

This study enhances talent management research for the hospitality sector by determining the critical traits of new hires that can predict superior on-job performance.

In the state of Hawaii, it has been shown that certain ethnic minority groups, such as Filipinos and Pacific Islanders, suffer disproportionally high rates of cardiovascular disease, evidence that local health-care systems and governing bodies fail to equally extend the human right to health to all. This study aims to examine whether these ethnic health disparities in cardiovascular disease persist even within an already globally disadvantaged group, the houseless population of Hawaii.

A retrospective chart review of records from Hawaii Houseless Outreach and Medical Education Project clinic sites from 2016 to 2020 was performed to gather patient demographics and reported histories of type II diabetes, obesity, hyperlipidemia, hypertension and other cardiovascular disease diagnoses. Reported disease prevalence rates were compared between larger ethnic categories as well as ethnic subgroups.

Unexpectedly, the data revealed lower reported prevalence rates of most cardiometabolic diseases among the houseless compared to the general population. However, multiple ethnic health disparities were identified, including higher rates of diabetes and obesity among Native Hawaiians and other Pacific Islanders and higher rates of hypertension among Filipinos and Asians overall. The findings suggest that even within a generally disadvantaged houseless population, disparities in health outcomes persist between ethnic groups and that ethnocultural considerations are just as important in caring for this vulnerable population.

To the best of the authors’ knowledge, this is the first comprehensive study focusing on ethnic health disparities in cardiovascular disease and the structural processes that contribute to them, among a houseless population in the ethnically diverse state of Hawaii.

The major purpose of this paper is to examine the mediating role of job competency in the effect of transformational leadership to performance of university lecturers. This article also attempts to examine the direct effect of transformational leadership on job competency and lecturer performance.

For the purpose of the study, quantitative research was applied by conducting an empirical survey with the active participation of 223 lecturers. The survey was conducted in ten high-ranked private universities in Jakarta, Indonesia. Structural equation modeling (SEM) was employed for the measurement and structural model analyses.

The results reveal that the effect of transformational leadership on lecturer performance is expressed only by indirect effect (through lecturer competency). Even though transformational leadership has a positive direct effect on lecturer performance, it is not statistically significant. This paper highlights the crucial role of lecturer competency in the performance of academic scholars. The findings suggest transformational leadership is fundamental in fostering competencies, which, in turn, improve the work performance of university lecturers.

This study makes significant contributions to the understanding of the interaction between transformational leadership and performance in higher education, and the statistical significance of lecturer work competency in mediating this relationship. The results of this study provide a snapshot of the contextual mechanism linking transformational leadership and lecturer performance.

This paper aims to provide insight into the evolving relationship between humans and machines, understanding its multifaceted impact on our lifestyle and landscape in the past as well as in the present, with implications for the near future. It uses bibliometric analysis combined with a systematic literature review to identify themes, trace historical developments and offer a direction for future human–machine interactions (HMIs).

To provide thorough coverage of publications from the previous four decades, the first section presents a text-based cluster bibliometric analysis based on 305 articles from 2,293 initial papers in the Scopus and Web of Science databases produced between 1984 and 2022. The authors used VOS viewer software to identify the most prominent themes through cluster identification. This paper presents a systematic literature review of 63 qualified papers using the PRISMA framework.

Next, the systematic literature review and bibliometric analysis revealed four major historical themes and future directions. The results highlight four major research themes for the future: from Taylorism to advanced technologies; machine learning and innovation; Industry 4.0, Society 5.0 and cyber–physical system; and psychology and emotions.

There is growing anxiety among humankind that in the future, machines will overtake humans to replace them in various roles. The current study investigates the evolution of HMIs from their historical roots to Society 5.0, which is understood to be a human-centred society. It balances economic advancement with the resolution of social problems through a system that radically integrates cyberspace and physical space. This paper contributes to research and current limited knowledge by identifying relevant themes and offering scope for future research directions. A close look at the analysis posits that humans and machines complement each other in various roles. Machines reduce the mechanical work of human beings, bringing the elements of humanism and compassion to mechanical tasks. However, in the future, smart innovations may yield machines with unmatched dexterity and capability unthinkable today.

This paper attempts to explore the ambiguous and dynamic relationships between humans and machines. The present study combines systematic review and bibliometric analysis to identify prominent trends and themes. This provides a more robust and systematic encapsulation of this evolution and interaction, from Taylorism to Society 5.0. The principles of Taylorism are extended and redefined in the context of HMIs, especially advanced technologies.

The purpose of this study is to solve the problem of healthcare waste management in developing countries. The buildup of medical waste has attracted the attention of all spheres of society due to the expanding population and developing economy. Timely collection and processing of medical waste are extremely important due to its potential hazards. Although the problem of planning medical waste management has been addressed in developed countries, it persists in several developing countries. This research is motivated by an example of a city in India characterized by a dense population, abundant health-care facilities and a lack of planning for managing large medical waste generated daily.

The authors address the problem of designing the network of collection and processing facilities for medical waste and optimizing the vehicle route that collects and transfers the waste between facilities. Due to distinct topographic restrictions in the considered city, the collection and transfer process needs to be conducted in two echelons – from hospitals to collection centers using smaller vehicles and then to the processing facilities using trucks. This work addresses these two problems as a two-echelon location-routing problem.

A mixed-integer programming model is developed to minimize the cost of opening the facilities and transporting medical waste. Several managerial insights are drawn up to assist planners and decision-makers.

This study follows a case study approach to provide a descriptive and prescriptive approach to hospital waste management in the ancient city of Varanasi. The city has witnessed unplanned growth over the years and is densely populated. The health-care facilities in the city have a large catchment area and attract patients from neighboring districts. The situation analysis based on secondary data and unstructured interviews of the stakeholders suggests that the ad hoc approach prevails in present hospital waste management in the city.

This study aims to examine the role of mental health disorders (anxiety and depression) underlying the relationship between bullying and absenteeism. Moreover, the author tested the potentially moderating role that job autonomy, supervisor and colleagues’ support may play in the relationship between bullying and mental health disorders.

A moderated mediation analysis was conducted with a sample of French workers, controlling for their individual characteristics and their working conditions. The sample comprised 22,661 employees. This sample is representative of the French working population.

The results showed that the positive relationship between workplace bullying and absenteeism was partially mediated by anxiety and depression. In addition, job autonomy and supervisor support appear to be moderators of bullying effects. Regarding the moderating role of colleagues support, the study’s results are more nuanced.

Many studies show that exposure to workplace bullying increases the risk of developing mental health problems and sickness absence. This study extends previous studies by proposing a more comprehensive understanding of how and when bullying results in absenteeism. In particular, this study identified some moderators that can mitigate the harmful effects of workplace bullying on mental health and absenteeism. This study contributes to the literature on this subject by showing that organizations can reduce the potentially negative effects of workplace bullying. Organizational resources can help make individuals capable of coping with aggression. They thus contribute to their resilience.

This study aims to examine the relationship between abusive supervision and workplace incivility using a dual theoretical framework. First, it draws on the ego depletion theory to investigate the relationship between abusive supervision and incivility by exploring the mediating role of ego depletion. Second, it integrates the job demands–resources model with the ego depletion theory to examine how perceived co-workers’ support functions as a buffer in mitigating the effects of ego depletion on incivility.

The authors tested our moderated mediation model using hierarchical linear modeling through an experience-sampling study based on data collected from a participants across five consecutive workdays.

The findings reveal employees subjected to abusive supervision are more likely to experience a depletion of self-regulatory resources. Moreover, the authors found a positive association between ego depletion and workplace incivility, suggesting that diminished self-control resulting from abusive supervision contributes to a higher likelihood of engaging in uncivil workplace behaviors. In addition, perceived coworkers’ support emerged as a significant moderating factor that attenuates the indirect impact of abusive supervision on workplace incivility through ego depletion. Specifically, when perceived coworkers’ support is high, the negative influence of abusive supervision on ego depletion, and subsequently, on workplace incivility, is mitigated.

By exploring ego depletion as the underlying mechanism and boundary conditions imposed by perceived coworker support on the relationship between abusive supervision and workplace incivility, this research contributes to a nuanced understanding of the intricate dynamics of this relationship. Based on the research findings, the authors advocate that organizations should establish and integrate support services, such as counseling and employee assistance programs, to reduce the emotional turmoil caused by abusive supervision.