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This chapter takes on the role of the metaverse in skill development, such as skilling, reskilling, and upskilling in the digital age. Metaverse is instrumental in revolutionizing skill development in the digital age and bringing the paradigm shift in learning. This chapter will cover the capability of the metaverse to transform the ways of learning and developing skills in the evolving digital landscape. Individuals can be part of tailor-made solutions for their needs through innovative methodologies and interactive experiences. This chapter takes through real cases to get deeper insights about conventional methods that transform how an individual experiences learning to acquire skills to get exposed to the rapidly changing digital world, allowing people to customize their learning experiences to adapt their unique requirements through cutting-edge methodologies and digitally responsive encounters. It then deliberates the importance of the metaverse in the individual-led industry in a manner that allows people to reach their potential. Individuals succeed in the evolution of the metaverse dynamic by continually upskilling granted to them.

The purpose of this paper is to perform a thorough analysis of the literature on the parameters of sustainability of the micro-enterprises. It seeks to provide an organizing framework to identify research gaps and future directions. Using data from Web of Science and Scopus, the study offers insights into key trends, authorship and thematic shifts, informing future research design and positioning.

Researchers used a systematic review methodology, gathering data from Web of Science and Scopus databases. R Studio software facilitated bibliometric analysis. This study scrutinized research papers to construct an organizing framework and identify thematic trends in sustainability parameters for micro-enterprises.

The review presents a comprehensive overview of sustainability parameters in micro-enterprises, revealing significant research trends, key authors, countries and journals. It identifies gaps and suggests future research directions, aiding in the design and positioning of forthcoming studies in this domain.

Limitations may include the scope of databases accessed and potential biases in the selected literature. Future studies could explore additional databases or incorporate qualitative analyses for deeper insights into sustainability parameters in micro-enterprises.

This study offers practical insights for policymakers, practitioners and researchers by highlighting key sustainability parameters in micro-enterprises. It informs decision-making processes concerning resource allocation, policy formulation and support mechanisms for sustainable development.

Understanding sustainability parameters in micro-enterprises has significant social implications, particularly for vulnerable groups like craftsmen, women and young entrepreneurs. By addressing these parameters, interventions can enhance livelihoods and contribute to broader socio-economic development.

By providing a thorough analysis of sustainability factors in micro-enterprises and applying bibliometric analysis to shed light on research trends, this paper adds to the body of literature. Its organized framework identifies gaps and guides future research, offering value to scholars, policymakers and practitioners invested in sustainable development at the grassroots level.

This study aims to identify key research clusters (or sub-fields) in the field of performance measurement research, analyse its historical development and propose future research avenues.

Several bibliometric analysis methods, including co-citation analysis and text mining techniques, were used to review papers published on performance measurement research.

This study reveals eight main clusters of research in this field, ranging from theoretical-focused clusters (e.g. strategic performance measurement) to practical-focused clusters (e.g. design of performance measurement). These clusters are further categorised into four groups based on the size and degree of connectedness. Regarding the analysis of historical development, the established clusters, such as supply chain management, remain important, while newer clusters, such as hospitality and humanitarianism, have recently gained increasing interest.

This study applies citation-based clustering, a type of bibliometric literature review method that has been underused in the field of performance measurement. Moreover, the results obtained from this study are also distinct from those of previous studies, offering valuable insights especially for researchers. With a comprehensive understanding of the field, researchers can use it to understand the key literature, observe ongoing developments within their specialisation and inform their future research directions.

This paper aims to compare the mission statements of Indian and Singaporean firms in the healthcare sector, and define the main components of Indian and Singaporean mission statements.

The study was based on a network analytic approach and content analysis. The research was performed on 200 companies (100 Indian companies and 100 Singaporean companies). For each company, we searched for a mission statement published in the company website. Nonnegative Matrix Factorization (NMF) in Python programming language was utilized to obtain the differences in the components of mission statements between Indian and Singaporean firms.

The study results indicate a similarity and variation between Indian and Singaporean mission statements. Both countries are more concerned about patients, service, community, quality, and healthcare in their mission statements, but Indian mission statements emphasize quality, affordable price, and technology more than Singaporean firms. In contrast, Singaporean mission statements tend to highlight innovation and company value. This research will assist strategic managers in identifying the mission statement components and choosing the right strategy for the organization.

This study contributes to the literature and ethos theory by identifying and distinguishing the paramount differences between the Indian and Singaporean mission statement components in the healthcare sector.

The study directs attention to the psychological conditions experienced and knowledge management practices leveraged by faculty in higher education institutes (HEIs) to cope with the shift to emergency remote teaching caused by the COVID-19 pandemic. By focusing attention on faculty experiences during this transition, this study aims to examine an under-investigated effect of the pandemic in the Indian context.

Interpretative phenomenological analysis is used to analyze the data gathered in two waves through 40 in-depth interviews with 20 faculty members based in India over a year. The data were analyzed deductively using Kahn’s framework of engagement and robust coding protocols.

Eight subthemes across three psychological conditions (meaningfulness, availability and safety) were developed to discourse faculty experiences and challenges with emergency remote teaching related to their learning, identity, leveraged resources and support received from their employing educational institutes. The findings also present the coping strategies and knowledge management-related practices that the faculty used to adjust to each discussed challenge.

The study uses a longitudinal design and phenomenology as the analytical method, which offers a significant methodological contribution to the extant literature. Further, the study’s use of Kahn’s model to examine the faculty members’ transitions to emergency remote teaching in India offers novel insights into the COVID-19 pandemic’s effect on educational institutes in an under-investigated context.

The COVID-19 pandemic and its aftermath sent the entire educational system across the globe topsy-turvy. Virtual classrooms, online lectures and online evaluations became the order of the day, replacing traditional face to face classroom interactions and examinations conducted physically. While it may be possible to reach out to a larger audience in remote places via online platforms, the new medium lacks personal touch of the past, and is known to cause physical and psychological problems for participants. This study collects primary data from a representative sample of students from emerging economies to study the factors that influence intention to pursue online education.

ANOVA, Kruskal–Wallis test, exploratory factor analysis (EFA) and multiple linear regression (MLR) have been used to test our hypothesis. We have also used text mining to corroborate statistical test results and ascertain the sentiment of students towards online learning.

This study not only confirms findings in extant literature that “benefits” is an important factor. It also identifies new factors such as “health”, “evaluation”, “class duration” and “student qualification”, that influence student intention to pursue online education. Sentiment analysis shows that students have positive sentiment coupled with trust towards online education. Text mining shows that “mode of class”, “time or duration of class” and “quality of learning” are important features that students consider.

This is one of the few studies to use quantitative plus text mining method of research to understand intention to pursue online education.