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The paper aims to present the comprehensive picture on green human resource management (GHRM) based upon bibliometric investigation, including different criteria, such as key authors, documents, keywords, bibliographic coupling (BC), etc.

Bibliometric technique has been used with the application of VOSviewer. Further, the Scopus database has been utilised to extract the research articles.

The present study has exposed the due relevance of GHRM in the area of human resource management (HRM) for researchers as well as practitioners. The study has revealed that number of citations in the area is high from the researchers of China. Also, Jabbour, C.J.C., has been identified as the lead contributor and author from the area with 43 publications and 1,352 citations. The journal of cleaner production has been identified as the journal with the largest number of publications from the area. Also, prominent keywords used in the area are sustainability, GHRM, environmental management, sustainable environment and HRM.

The study has offered the comprehensive publication analysis on the area which will assist the researchers in gaining review on topic and development of empirical models. Further, with the utilisation of keywords criterion they can easily explore the publications done in the area. Also, study will help the scholars and researchers to identify the region and countries along with the institutions and universities to pursue research on the GHRM topic.

The present study will help the mangers to focus on GHRM with more focus to acquire positive consequences for human resource management.

The present paper has presented various new and recent facets associated with the area of GHRM. Previously the similar analysis with bibliometric technique is rarely done with the present Scopus database.

In the service industry, there is an involvement of the human factor which comprises continuous interpersonal interactions. Sometimes, these interactions create incongruence between displayed and felt emotions which distract the employees from their authentic self and impair their well-being. This paper aims to made an attempt to review different studies to identify an association between authenticity at the workplace and employee well-being with reference to emotional work.

The different studies have been reviewed mentioning the association between authenticity at the workplace and employee well-being with reference to emotional work published during the period of 1983–2020. The database which is used to identify and extract the research papers includes APA PycNET, Business Perspectives, Elsevier, Emerald Insight, Inderscience Publishers, SAGE, Taylor and Francis, etc. The keywords used for shortlisting the studies include employee well-being, emotional work, emotional dissonance, job satisfaction, surface acting, authenticity, burnout, authentic living, self-alienation.

The study has determined that emotional work influences the authenticity of an employee which further impacts the well-being of employees.

The present review would aid the researchers in explaining the relevance of authenticity at the workplace for enhancing the employee well-being specifically in emotional work settings.

Promoting well-being at the workplace requires an action-oriented approach from the national level also. Hence, the present study may help in drawing inferences for framing well-being policies for employees at the national level.

The paper is amongst the few reviews which have analysed the substantial role of authenticity in the context of emotional work to improve employee well-being.

The world is facing an unprecedented transformation in its social, economic and financial environments due to the emergence of a new pandemic called coronavirus disease 2019 (COVID-19). The norms on social distancing, lockdowns and sealing of international boundaries are the common measures taken by almost all regions of the world. However, the Asian region is found to have a relatively lesser number of infected cases and deaths due to COVID-19 in comparison to the other regions of the world. The present study has been aimed to review the roles of various factors as approaches, such as technology, business–government collaborations, financial bailouts and policies from government side and geographical and demographical factors of the countries in slowing down the transmission of virus in the Asian region including East Asia, South Asia and South East Asia for controlling COVID-19. Besides, the present study has also emphasised the gaps which have disabled the Asian region in controlling the transmission of virus.

For framing the paper, various articles, national and international reports and academic papers have been reviewed, which are published in the period 2000–2020. The studies are shortlisted on the basis of keywords, such as COVID-19, coronavirus, severe acute respiratory syndrome-like coronavirus ( SARS-CoV-2), pandemic, virus, quarantine, Asia, etc.

The study has emphasised the roles of government, technology, business–government collaborations and geographical and demographical factors of countries as relevant factors in controlling COVID-19. Also, the study has highlighted inefficient health infrastructure, fear of social stigma and misinformation amongst citizens as those gaps where Asian regions are simultaneously found to be unprepared and inefficient to control the pandemic.

The present review would aid researchers in explaining the relevance of macro-level factors such as technology, business–government collaborations, government policies and financial bailouts and geographical and demographical factors of the region in controlling the transmission of pandemics and epidemics.

The study would assist decision makers, governments and individuals in framing of the various strategies and interventions to control pandemics and epidemics.

The present study has explained the relevance of various behavioural and social factors as gaps which are responsible for speeding up the transmission of COVID-19. Here, the study would guide the society in taking various right steps during the phase of pandemic and lockdowns.

Previously, rarely any study has been found which has reviewed the roles of macro-level factors as approaches and gaps in the context of the Asian region to slow down the transmission of COVID-19.

There is dearth of studies in the literature which have discussed the relevance of personal and social resources of employees to protect them from adverse impacts of emotional job demands. However, interaction effect of these two resources on wellbeing of the employees in context to emotional work is inadequate. The present study is aimed to address the existing gap and investigate the relevance of personal and social resources as moderators in the presence of each other between emotional work and employee wellbeing.

The research work has focused on employees working on frontline profiles of civil aviation industry of north India. The responses of 720 frontline employees have been collected through pretested questionnaire. To understand the moderation effect of two variables, model number 3 developed by Hayes (2012) has been applied.

The findings have revealed that moderator role of social support between emotional work and employee wellbeing. However, research has pointed out that at high level of social support personal resources of employees' start to decline which subsequently reduces the wellbeing of employees.

The present research work has analysed the moderated moderation effect of personal and social resources between emotional work and employee wellbeing. Besides, the relative significance of personal resources vis-a vis social resources empirically in context of employee wellbeing in case of emotional work has also been highlighted in the work.

The results of the study have suggested the employees to receive less social support from friends, family and other significant relationships to protect their personal resources in emotional work settings. Moreover, research work has implicated for employers to draw out the various interventions through which personal resources of employees can be enhanced in emotional work settings. Also, the research has assisted in designing the key competencies for different job domains of emotional work setups.

The present study is very substantial in offering various parameters over which wellbeing policies for individuals can be framed. Also, the study has outlined the consequences of receiving different levels of social support which is applicable for that set of population who wants to enhance their personal resources for attaining high wellbeing.

The study has empirically investigated interaction effect of social and personal resources of employees between emotional work and employee wellbeing which is scarce in the literature. Besides, a dark side of social support in emotional work context has also been highlighted which was scarcely discussed in emotional work settings previously.

The objective of the present study is to measure the well-being of employees who are engaged in frontline roles and actively engrossed in frequent regulation and management of emotions while performing interpersonal interactions. The study has conceptualised the comprehensive model to measure employee well-being with three work-related dimensions, namely work engagement, burnout and job satisfaction in emotional work settings.

The study has been conducted on employees of the civil aviation industry in North India working on various frontline profiles. Data have been collected from 600 employees through a pretested questionnaire, and structural equation modelling (SEM) has been performed to test the hypothesis.

The findings of the study have revealed that all three dimensions, namely work engagement, burnout and job satisfaction are statistically significant measures of employee well-being in emotional work settings. Also, the study has determined that employees are highly satisfied and engaged at work despite having a feeling of burnout.

The study has enriched the literature by presenting and analysing a comprehensive model of employee well-being in emotional work settings of the civil aviation industry.

The study will aid the various service industries in the framing of the intervention and training programs, which would help in promoting the well-being of employees who are specifically engaged in emotional work.

The study is very substantial in offering various parameters over which national well-being policies for individuals can be framed.

Priorly, very few studies have attempted to recognise the role of the aforementioned variables in emotional work settings in a comprehensive manner. Further, the study has emphasised the unrecognised role of job satisfaction and work engagement where burnout is prevailing due to the presence of high emotional job demands.

The healthcare sector in India is witnessing phenomenal growth, such that by the year 2022, it will be a market worth trillions of INR. Increase in income levels, awareness regarding personal health, the occurrence of lifestyle diseases, better insurance policies, low-cost healthcare services, and the emergence of newer technologies like telemedicine are driving this sector to new heights. Abundant quantities of healthcare data are being accumulated each day, which is difficult to analyze using traditional statistical and analytical tools, calling for the application of Big Data Analytics in the healthcare sector. Through provision of evidence-based decision-making and actions across healthcare networks, Big Data Analytics equips the sector with the ability to analyze a wide variety of data. Big Data Analytics includes both predictive and descriptive analytics. At present, about half of the healthcare organizations have adopted an analytical approach to decision-making, while a quarter of these firms are experienced in its application. This implies the lack of understanding prevalent in healthcare sector toward the value and the managerial, economic, and strategic impact of Big Data Analytics. In this context, this chapter on “Predictive Analytics in Healthcare” discusses sources, areas of application, possible future areas, advantages and limitations of the application of predictive Big Data Analytics in healthcare.

The rapid increase in analytics is playing an essential role in enlarging various practices related to the health sector. Big Data Analytics (BDA) provides multiple tools to store, maintain, and analyze large sets of data provided by different systems of health. It is essential to manage and analyze these data to get meaningful information. Pharmaceutical companies are accumulating their data in the medical databases, whereas the payers are digitalizing the records of patients. Biomedical research generates a significant amount of data. There has been a continuous improvement in the health sector for past decades. They have become more advanced by recording the patient’s data on the Internet of Things devices, Electronic Health Records efficiently. BD is undoubtedly going to enhance the productivity and performance of organizations in various fields. Still, there are several challenges associated with BD, such as storing, capturing, and analyzing data, and their subsequent application to a practical health sector.

The purpose of this study is to understand consumers in the emerging wine market of India to ensure the best services. To this end, factors were identified to describe Indian wine consumer behavior and further segments for consumers were created based on the factors identified.

The research design is descriptive in nature and based on primary data. Data was collected by a structured questionnaire from 232 respondents in five major cities of India (Mumbai, Delhi NCR, Bangalore, Pune and Hyderabad). The scale was mainly adopted from wine-related lifestyle approaches.

The principal component factor analysis resulted in six factors, namely, drinking ritual, consumption reason (social), consumption reason (mood, enjoyment and relaxation), consumption practice, consumption planning and quality. Cluster analysis resulted in a three-cluster solution. These clusters were named as cautious social drinker, loner regular drinker and highly engaged drinker based on the attributes possessed.

The segmentation of urban Indian wine consumers will be helpful for marketers to identity and describe the differences in attributes and behaviors, to create customized promotions to match the needs.

The banking sector is more revolutionized than ever, with advanced technologies driving a seismic change in the financial industry. This study aims to understand how digital technologies influence banking sector employees and their perception of working in an era of Banking 4.0.

This study incorporated qualitative analysis to gain different insights from diverse respondents from banking industries. A purposive sampling method was adopted, and semistructured interviews were conducted, taking a sample of 72 respondents. All the transcripts were then analyzed using NVivo.

The findings focus on challenges related to understanding technology phenomena, managing changes, infrastructure, skills, competitiveness and regulatory mechanisms. This is further followed by the favorable impact of Banking 4.0 on employees and future avenues, such as innovation in financial services, work productivity, career opportunities and change management, banking 4.0 and banking 5.0, and banking 4.0 management strategies identified as the significant findings.

This study provides guidelines for Banking 4.0 provision strategy and conceptual reference toward the development of Banking 4.0. It also supports the Enhanced Access and Service Excellence 4.0 program, driven by the Indian Bank’s Association, to focus more on digitization, automation and data analytics.

The novelty of this research provides a qualitative hierarchy of significant challenges, favorable impacts and future research avenues of Banking 4.0 in the Indian banking sector.

In this chapter, the problem of facial palsy has been addressed. Facial palsy is a term used for disruption of facial muscles and could result in temporary or permanent damage of the facial nerve. Patients suffering from facial palsy have issues in doing normal day-to-day activities like eating, drinking, talking, and face psychosocial distress because of their physical appearance. To diagnose and treat facial palsy, the first step is to determine the level of facial paralysis that has affected the patient. This is the most important and challenging step. The research done here proposes how quantitative technology can be used to automate the process of diagnosing the degree of facial paralysis in a fast and efficient way.