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The paper explores if individuals experiencing deeply meaningful work turn self-centric and therein they negatively affect people around them. It also discusses ways to attenuate this darker effect of meaningful work.

Semi-structured interviews were conducted with supervisors, peers, subordinates, and family of 24 executives in the Indian Aeronautical Manufacturing Sector who scored high on the Meaningful Work scale in another empirical study carried out by the authors in early 2019.

Individuals experiencing deeply Meaningful Work get self-centric, at times, where nothing beyond work appeals to them. This negatively affects their camaraderie at work and family ties.

The paper adds to the scarce literature on the darker side of Meaningful Work by exploring its effect on breeding self-centrism using an Indian sample.

Performance is considered to be a multi-dimensional construct with three underlying dimensions such as Task Performance (TP), Interpersonal Facilitation (IPF), and Job Dedication (JD). Yet, these dimensions exhibit high inter-correlations in many studies. This study explores the dimensionality of performance as perceived by managers in Indian Public Sector Units (PSUs) and its implications on the sustainability of performance practices in these organizations.

Performance data of 588 PSU executives was obtained from their respective managers (162 in number) using a pen-paper survey. Exploratory Factor Analysis (EFA) followed by a Confirmatory Factor Analysis (CFA) was employed to test the dimensionality of the performance construct using SPSS 25 and AMOS 24.

The data obtained had best fit when performance was modelled as a second order factor with the three dimensions drawing on it as first order indicators. However, the measurement model with employee performance modelled as a one-dimensional first order factor had poor fit. This indicates that PSU managers do perceive an implicit differentiation between the performance dimensions, but the performance ratings do not explicitly reflect that differentiation.

To the best of the authors' knowledge, this is the first ever study in Indian context that explores the perception of PSU managers on performance dimensionality. It discusses if Indian PSUs could sustain the dynamism of the future workplace with the present performance management practices and makes relevant suggestions in that direction.

Past studies have proved the effect of justice on performance. However, the findings across studies have been inconsistent and there remains a substantial unexplained variance between the constructs. Therefore, justice researchers urge for further exploration of the underlying mechanism of the relationship by introducing influencers. This study responds to such call of the researchers by testing the influence of organizational identification (OID) on the justice-performance relationship in the context of Indian Public Sector Units (PSUs).

The study is grounded in the positivism philosophy. The research hypotheses were tested using cross-sectional data gathered using a pre-tested questionnaire. In this study, the authors have used covariance-based structural equation modeling commercial software (AMOS 24.0).

OID did not mediate the relationship between justice facets and performance. Rather, informational justice, followed by procedural and distributive justice had direct positive influences on performance. OID, however, moderated the procedural justice-performance such that the relationship strengthened at higher levels of OID and the interpersonal justice-performance relationship such that the relationship dampened at higher levels of OID. Interestingly, the relationship between interpersonal justice and performance was insignificant in the absence of the moderator, showcasing the strongest case of moderation.

The paper explores OID as an influencer to justice-performance relationship in Indian PSU context for the very first time, thereby highlighting unique finings. It contributes to the further understanding of the unexplained variance in the justice-performance relationship.

Extant literature indicates the influence of anxiety on job insecurity (JI). However, the effect of financial anxiety (FA) on JI has received lesser attention. Further, there is a dearth of literature on this relationship during a global crisis, such as COVID-19, and more so in the Indian context. This study attempts to empirically explore the relationship between FA and JI in presence of moderators, such as gender, tenure and individual annual income.

Data were collected from 584 employees engaged in remote working in the information technology (IT) sector in India during the COVID-19 crisis. The data were analysed using SPSS 25 and AMOS 24. A hierarchical regression method was followed to test the hypothesis. In step 1, JI was regressed on FA in presence of control variables. In step 2, moderators, such as gender, tenure and individual annual income, were entered along with interaction terms.

Findings revealed a significant positive relation between FA and JI. The moderating effects of gender, tenure and annual income on the relationship between FA and JI were significant and interesting.

The paper empirically studies the role of FA on JI of Indian IT employees during COVID- 19. It is a response to researchers' call to integrate the effect of different moderators on the relationship between FA and JI during a crisis that has direct impacts on both. The influence of moderators on JI was interesting in the reversal effects produced.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

The results showed that PSU managers do not perceive a difference between the performance measures, but that their ratings do not reflect that differentiation. Instead, they showed a concern for overall performance.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

With human resource (HR) roles evolving to encompass wider responsibilities, HR decision-making in organizations has become more complex than ever. This has compelled researchers in the area to move beyond simplistic models to testing models that involve studying the relationship between multiple independent and dependent variables in the presence of moderators and mediators, in order to make relevant contribution to managerial decision-making. Thus, research in the field is heavily dependent on multivariate techniques that can run several regressions simultaneously and can study the influence of one variable on the other, in presence of the other variables in the model. Structural equation modeling is the most widely used multivariate technique and involves two phases – measurement model to test reliability and validity of study constructs and structural model that involves path diagrams to test the causal relationships between these constructs. At times, however, the researcher might run into trouble with validity issues of constructs in the measurement model; especially when dimensions of a larger construct are used as independent constructs in the study. Introducing a second-order construct in such a case could be the solution to proceed further. Using empirical data, this chater illustrates the case of such a problematic measurement model and details the research methodology of introducing and working with a second-order construct in a step-wise manner, starting with an exploratory factor analysis and subsequently, moving toward a confirmatory factor analysis, highlighting the best practices to be followed while using these statistical techniques.

The introductory paper begins with the issue about the relevance of research in management. It emphasizes the need for scholars to adopt methodologies best suited to the research problem of their choice. This paper contains sections on the nature of management research, dominant research paradigms, the methodological domain, quantitative versus qualitative research, and triangulation in using multiple methodologies. The paper provides a background to the purpose of the book and summarizes in brief the purpose of each the subsequent papers.

Teleworking, working from home and flexible work have gained popularity over the last few years. A shift in policies and practices in the workplace is required owing to the COVID-19 pandemic accelerating current trends in work-from-everywhere (WFE) research. This article presents a systematic literature review of WFE research from 1990 to early 2023 to understand the transformation of the field.

The Web of Science database was used to conduct this review based on rigorous bibliometric and network analysis techniques. The prominence of the research studied using SPAR-4-SLR and a collection of bibliometric techniques on selected journal articles, reviews and early access articles. Performance and keyword co-occurrence analysis form the premise of cluster analysis. The content analysis of recently published papers revealed the driving and restraining forces that help define and operationalize the concept of WFE.

The major findings indicate that the five established and accelerated trends from cluster analysis are COVID-19 and the pandemic, telework(ing), remote working, work from home and well-being and productivity. Driving and restraining forces identified through content analysis include technological breakthroughs, work–life integration challenges, inequality in the distribution of jobs, gender, shifts in industry and sector preferences, upskilling and reskilling and many more have been published post-COVID in the restraining forces category of WFE.

A key contribution of this pioneering study of “work from everywhere” is the linking of the bibliometric trends of the past three decades to the influencing and restraining factors during the pandemic. This study illustrates how WFE could be perceived differently post-COVID, which is of great concern to practitioners and future researchers.

A wide range of publications on WFE and multiple synonyms can create confusion if a systematic and effective system does not classify and associate them. This study uses both bibliometric and scientometric analyses in the context of WFE using systematic literature review (SLR) methods.