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The purpose of this study is to investigate the relationship between work-life balance and the mental health of Indian managers and to explore the moderating role of emotional intelligence (EI) and gender.

Work-life balance scale (Hayman 2005), Mental Health Inventory (Viet and Ware, 1983) and EI scale (Wong and Law, 2002) were administered to 202 (102 males and 100 females) Indian managers. Based on the Conservation of Resource theory, a theoretical model has been designed and hypotheses were tested by descriptive, correlation and moderation analysis.

The results of this study indicated that work-life balance is positively correlated with psychological well-being and mental health, while negatively correlated with the psychological distress of managers. EI has emerged as a potential moderator that positively influences the relationship between work-life balance and the mental health of managers. At the same time, gender did not show any moderating effect.

This research has theoretical, practical as well as social implications.

This study is aligned with SDG 3 and SDG 5 of the UN Sustainable Development Goals 2023. This paper provides valuable inputs in promoting mental health at the workplace and formulating gender-neutral work-life balance policies and programs in Indian organizations.

This study is aligned with SDG 3 (Health and well-being) and SDG 5 (Gender equality) of the UN Sustainable Development Goals 2023.

This study is an empirical research paper backed by a sound theoretical framework, which addresses the work-life balance and mental health issues of managers and highlights the positive role of EI in managing their personal and professional lives in a low gender-egalitarian Indian work–family culture.

The current study aims to map the scientific output of grey literature (GL) through bibliometric approaches.

The source for data extraction is a comprehensive “indexing and abstracting” database, “Web of Science” (WOS). A lexical title search was applied to get the corpus of the study – a total of 4,599 articles were extracted for data analysis and visualisation. Further, the data were analysed by using the data analytical tools, R-studio and VOSViewer.

The findings showed that the “publications” have substantially grown up during the timeline. The most productive phase (2018–2021) resulted in 47% of articles. The prominent sources were PLOS One and NeuroImage. The highest number of papers were contributed by Haddaway and Kumar. The most relevant countries were the USA and UK.

The study is useful for researchers interested in the GL research domain. The study helps to understand the evolution of the GL to provide research support further in this area.

The present study provides a new orientation to the scholarly output of the GL. The study is rigorous and all-inclusive based on analytical operations like the research networks, collaboration and visualisation. To the best of the authors' knowledge, this manuscript is original, and no similar works have been found with the research objectives included here.

Recently, mHealth apps for COVID-19 have emerged as a new research area due to the diverse efforts to control the COVID-19 epidemic. Although there are many bibliometric studies on mHealth and its applications, no bibliometric study sheds light on mHealth apps for COVID-19 as a new research area. To address the above-mentioned research gap, the current study conducts a bibliometric analysis of research in mHealth apps for COVID-19. It aims to provide a comprehensive overview of the new area and its directions.

The study uses a bibliometric approach to provide an analysis of the overall status of research in mHealth apps for COVID-19. The Scopus database provided by Elsevier was used to extract the analyzed data in this study. SciVal was used to perform the analyses, while VOSviewer was used for scientific mapping.

A total of 457 publications were published between 2020 and 2021 (until Tuesday, June 1) and cited 3,559 times. Publications were written by 2,375 authors, with an average of 5.20 authors per publication. Articles play a pivotal role in the literature on mHealth apps for COVID-19 in terms of production and impact. The research area of mHealth apps for COVID-19 is multidisciplinary. The United States made the largest contribution to this area, while the UK was the most influential. This study reveals the most productive and influential sources, institutions and authors. It also reveals the research hotspots and major thematic clusters in mHealth apps for COVID-19, highly cited publications and the international collaboration network.

mHealth apps for COVID-19 are gaining more and more importance due to their influential role in controlling the COVID-19 epidemic. Using bibliometric analysis, the study contributes to defining the knowledge structure of global research in mHealth apps for COVID-19 as a new, interdisciplinary area of research that has not previously been studied. Therefore, the study results and the comprehensive picture obtained about research in mHealth apps for COVID-19, especially at the level of Internet of Things (IoT) and artificial intelligence applications, make it an effective supplement to the expert evaluation in the field.