Diversity Calculus and Performance: Evidence from the Indian Premier League
By Prothit Sen, Sumanta Singha
Citation
Sen, Prothit., Singha, Sumanta. (2025). Diversity Calculus and Performance: Evidence from the Indian Premier League .
Copyright
2025
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Abstract
The rise of startups, the gig economy, multicultural teams, and distributed work has reshaped how organizations manage diverse teams. The traditional static view of diversity is increasingly challenged, giving way to a more dynamic framework that integrates loyalty, novelty, and cultural mix as critical drivers of organizational success. This study examines how these dimensions of emergent diversity interact to shape individual performance. Using novel data from the Indian Premier League (IPL)—a high-stakes professional sports league—we demonstrate that individual performance is maximized when loyalty (embedded expertise) and novelty (fresh talent) complement rather than substitute each other. Additionally, we show that an indiscriminate shift toward multiculturalism can hinder performance if not balanced with an even distribution of cultural groups. Our analysis reveals that reference-group-based incentive structure serves as a key strategic lever, moderating the effects of these factors on individual performance. Our findings contribute to the emergent diversity literature by disentangling the performance implications of diversity as a dynamic, multi-dimensional construct. We also suggest a re-orientation in organizational design—from a sole focus on task division to incorporating people division as a strategic design parameter.

Prothit Sen is an Assistant Professor of Strategy at the Indian School of Business (ISB). His research interests primarily include business model innovations and the impact of such innovations on corporate strategy decisions such as strategic alliances and private equity portfolio strategies. In terms of research methodology, Professor Sen performs empirical analyses over secondary data by using a combination of predictive models that use machine learning algorithms and classical econometric techniques for making causal inferences regarding the phenomena of his interest.

Prior to completing his PhD, Professor Sen worked for several years as a consultant at Bain & Company in Gurgaon, India. His advisory experience in India spanned across manufacturing, automotive, IT services, and private equity sectors.

Prothit Sen
Prothit Sen