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This paper introduces “virtual fun at the virtual workplace” and conceptualizes its impact on virtual socialization and the formation of virtual professional ties. The conceptual model also recognizes the moderation of a few variables: “awareness of being observed,” “diversity in the virtual workplace” and “virtual impression management.”

The paper takes a theoretical approach to develop a conceptual framework of virtual fun in the virtual workplace, drawing on social exchange theory (SET) and social network theory (SNT).

The study extends the tenets of the SET and extends the applicability of SNT to a virtual workplace. The study suggests that managers should introduce semi-organized virtual fun during scheduled breaks within work hours to aid in virtual socialization, which further aids in the formation and strengthening of “professional ties” in the virtual workplace.

This study is the first of its kind to conceptualize a model for virtual fun in the virtual workplace.

The purpose of this paper is to integrate academic research on hubristic organizational leaders by proposing a comprehensive conceptual framework and research directions on the hubristic literature.

The paper systematically reviewed 25 years of literature on hubristic organizational leaders based on the PRISMA methodology.

The literature on hubristic leaders is analyzed, and a conceptual framework is presented that highlights the antecedent, consequence, mediators and moderators. Literature has primarily focused on the negative impact of hubris leadership concerning firm performance and destructive behaviors. Few scholars have explored the positive side of hubris leadership, relating it to innovation and product success.

This paper presents the first systematic review of hubristic organizational leaders, to the best of the authors’ knowledge. The review provides an improved grasp of the current status of research, trends and potential future research directions.

This paper aims to explore the evolving needs of Indian men and their aspirations regarding work–life balance practices. The ultimate aim is to assess whether the available policies are helpful and to explore the various roadblocks in their implementation.

This study takes a qualitative approach and draws on the semi-structured interviews of Indian men (N = 19).

The analysis revealed an asymmetrical approach of organizations toward implementing employee benefit policies. The organizations remain plagued by the notion that “benefits policies” are needed only by women to carry out additional family responsibilities, whereas men remain aloof from such responsibilities, which takes its strength from the patriarchal roots of Indian society. This study reveals two major themes: lack of appreciation for gender egalitarianism arising among men at the work–family interface’ and the coping practices by men to address their ‘role strain arising due to work–family conflict. It is noted that there is a need to formulate policies and practices to cater to men’s evolving aspirations toward the family–work interface.

This study furthers the debate on inclusive policies for employees and examines the subsection of men for their evolving needs and aspirations. Although organizations live in the glory of having employee-friendly policies, they offer little help in advancing gender neutrality in the workplace. The inclusive policies shall also be helpful for females because it would increase the availability of their partners/spouses to share the family responsibilities.

Organizations widely adopt knowledge management (KM) to develop and promote technologies and improve business effectiveness. Analytics can aid in KM, further augmenting company performance and decision-making. There has been significant research in the domain of analytics in KM in the past decade. Therefore, this paper aims to examine the current body of literature on the adoption of analytics in KM by offering prominent themes and laying out a research path for future research endeavors in the field of KM analytics.

A comprehensive analysis was conducted on a collection of 123 articles sourced from the Scopus database. The research has used a Latent Dirichlet Allocation methodology for topic modeling and content analysis to discover prominent themes in the literature.

The KM analytics literature is categorized into three clusters of research – KM analytics for optimizing business processes, KM analytics in the industrial context and KM analytics and social media.

Systematizing the literature on KM and analytics has received very minimal attention. The KM analytics view has been examined using complementary topic modeling techniques, including machine-based algorithms, to enable a more reliable, systematic, thorough and objective mapping of this developing field of research.