XLRI - Xavier School of Management

Today’s VUCA business environment has compelled organizations to resort to corporate layoffs and downsizing to become ‘lean and mean’. In the wake of downsizing, employees are psychologically disengaged and are experiencing a lack of meaning and compassion at work. Furthermore, both academia and industry are replete with instances of power abuse and exploitation, revealing a trend of leaders and subordinates prioritizing self-interest over stakeholder welfare, reflecting a concerning rise in unbridled greed and unethical behaviour. The responsibility rests with leaders to take charge and cultivate work environments that foster compassion and a sense of meaning at work by working for the greater good. We position this study as a response to an impending call for a leadership approach that motivates the employees to experience meaningful work and transcend the walls of self-centric, organizational-centric lenses and contribute to the greater good. Drawing our grounding from social learning theory and broaden-and-build theory, we examine whether spiritual leadership can effectively motivate employees to experience meaningful work and contribute to the greater good. Based on time-lagged two-wave data collected from 355 employees, our findings highlight that spiritual leadership fosters employees’ experience of meaningful work and inspires them to work for the greater good. Moreover, psychological compassion climate serves as a boundary condition for assessing the impact of spiritual leadership on inspiring employees to work for the common good. This study elaborates on the theoretical and practical implications of our findings and offers avenues for future research.

While cooperation among competitors is a potential strategy for ventures seeking sustainability in unpredictable institutional conditions, there is less evidence of the impact of competition on sustainable performance during the international expansion of digital ventures. This research addresses the knowledge gap by creating a conceptual model to determine the differentiating effects of coopetiton on environmental and economic performance. The model also examines the mediating influence of digital innovation in the link between coopetition and sustainable performance and investigates the moderating role of institutional environments. The PLS-SEM analysis is performed on two-wave survey data collected from 496 Indian high-tech ventures. Our empirical results demonstrate coopetition has a dual impact on sustainable performance, with a positive significant effect on environmental performance and a non-significant effect on economic performance. Interestingly, digital innovation has a full mediating influence on the relationship between coopetition and economic performance. Moreover, regulatory turbulence was found to attenuate the positive effect of coopetition on digital innovation, while policy support amplifies it. These findings present both theoretical and managerial implications for coopetition in the internationalization of digital ventures context.

Purpose The objective of this study is to examine the underlying behavioral mechanisms for the association between Internet of Things (IoT) technology features and managers' intention to use IoT technology. Design/methodology/approach The study conducts experiments with 301 supply chain managers using the vignette design approach, employing affordance theory as a theoretical lens. The study incorporates behavioral beliefs (valence, discrepancy, and appropriateness) of supply chain managers as mediating variables. Further, the study examines the boundary conditions for the association between IoT technology features and behavioral beliefs by considering personal innovativeness (PI) as a moderating variable. Findings The results of this study suggest that out of three mediating paths, only valence and appropriateness significantly mediate the link between IoT technology features and managers' intention to use IoT. Further, in moderated mediation analysis, personal innovativeness significantly moderates only the appropriateness of the mediated relationship. Originality/value The study offers a novel application of Affordance Theory in the supply chain context by linking IoT technology features with managerial behavioral beliefs and individual traits. It reframes technology adoption as a behaviorally driven, context-sensitive process, moving beyond traditional cost-benefit perspectives.

This study aims at bridging critical gaps in the existing cryptocurrency research by exploring combinations of technological, macroeconomic and behavioural factors, namely, economic agents' expectations and the size of influence that each of them has on the Bitcoin price movements. In contrast to the existing studies that focused on individual determinants and estimated aggregate effects thereof, in this study, fuzzy-set qualitative comparative analysis (fsQCA) is applied to determine configurations of drivers to determine the Bitcoin price and used necessary condition analysis (NCA) to quantify the magnitude of the effects using the monthly data between 2011 and 2022. Findings show that economic agents' expectations such as OECD's Business Confidence Index, Consumer Confidence Index and Composite Leading Indicator emerge as influential variables of Bitcoin, surpassing traditional drivers like Gold and Financial Stress Index. Among these, Business Confidence Index and Composite Leading Indicator exhibit a very large effect on Bitcoin prices, and from the technology variable group, Average Block Size exhibits a very large effect on Bitcoin prices. fsQCA indicates that nine distinct configurations contribute to high Bitcoin prices and eight configurations lead to low Bitcoin prices, thus depicting equifinality in Bitcoin price determination. These insights can provide policymakers and investors with a better understanding of the Bitcoin price dynamic by finding out necessary variables and equifinal pathways towards either high or low prices, thus promoting better risk management activities, as well as regulatory approaches to this highly dynamic asset class.

This study examines the influence of Green Human Resource Management (GHRM) practices on Work Meaningfulness (WM), with Work Engagement (WE) as a mediator and Perceived Green Organizational Support (PGOS) and Psychological Ownership (PO) as moderators. A quantitative survey was followed by qualitative interviews using a mixed-methods approach. Participants for the quantitative part were drawn from multiple industries across several countries, with a predominantly Western sample, while the qualitative part focused on the complexity of GHRM's impact, particularly on implementation challenges and employees' perceptions. The results suggest that GHRM enhances WM, although it has a negative impact on WE, suggesting that GHRM practices are viewed as an extra demand. However, PGOS mitigates this negative effect. GHRM practices should be designed and implemented with employee participation to negate the risk of tokenism and improve WM. PGOS can also drive and facilitate the reduction of any negative GHRM effects on employee engagement. This research expands the JD-R model by investigating GHRM as a job resource and job demand as well, depending on organizational support. The findings point to the importance in GHRM of match between organizational intent and employee perceptions.