FACULTY + RESEARCH

RECENTLY PUBLISHED RESEARCH

• How Does Competition Influence Innovative Effort Within a Platform-based Ecosystem? Contrasting Paid and Unpaid Contributors

  Abstract

  Unpaid individuals are an important source of contributions to many ecosystems. An understudied phenomenon is how such contributions are shaped by competition. In this paper, we study how the rate and type of new product creation are shaped by competition. We contrast its impact on “paid” developers that profit by selling their products to that on “unpaid” developers that release their software for free. Using a hand-collected dataset on the jailbreak ecosystem, we find that increasing competition has a stronger negative effect on the rate of innovation by paid developers than that of unpaid developers. We also find that increasing competition is associated with a reduction in the reuse of existing technological components by unpaid developers, relative to paid developers, suggesting that the types of products developed also shift as competition increases. The results suggest that competition has an important role in shaping innovation in platform-based ecosystems, but that it differs for paid and unpaid contributors.
  

  Author[s]

  • Milan Miric
  • Lars Bo Jeppesen

  Publication

  Research Policy, 52(7), 104790

  Publication Date

  09.01.2023

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• How trust works: The science of how relationships are built, broken, and repaired

  Abstract

  When our trust is broken, and when our own trustworthiness is called into question, many of us are left wondering what to do. We barely know how trust works. How could we possibly repair it?
  

  
  Dr. Peter H. Kim, the world’s leading expert in the rapidly growing field of trust repair, has conducted over two decades of groundbreaking research to answer that question. In How Trust Works, he draws on this research and the work of other social scientists to reveal the surprising truths about how relationships are built, how they are broken, and how they are repaired. Dr. Kim’s work shows how we are often more trusting than we think and how easily our trust in others can be distorted. He illustrates these insights with accounts of some of the most striking and well-known trust violations that have occurred in modern times and unveils the crucial secrets behind when and why our attempts to repair trust are effective, and which breaches of confidence are just too deep.
  
  How Trust Works transforms our understanding of our deepest bonds, giving us the tools to build strong and supportive relationships on every level. With our families, coworkers, and friends. With the groups, organizations, and institutions that touch our lives. And even with societies and nations.
  

  Author[s]

  • Peter Hochin Kim

  Publication

  Macmillan, 256

  Publication Date

  08.15.2023

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• A Data-driven Approach to Improve Artisans' Productivity in Distributed Supply Chains

  Abstract

  Despite their vital role in the global rural economy, and as a major source of employment for women in the developing world, artisanal supply chains continue to be plagued by low productivity and high poverty levels. Identifying effective and implementable solutions to improve artisan productivity is a challenging task due to high fragmentation in upstream parts of the supply chain, where artisans often work from their individual households. This study presents research conducted in close collaboration with one of the leading exporters of handmade rugs in India. Leveraging insights from the field visits and analysis of detailed supply chain data, we provide robust empirical evidence that frequent supervisor visits can play a crucial role in improving artisans' productivity. Our results from Instrumental Variables analysis indicate that a one-day decrease in the average number of days between supervisor visits to remote weavers can decrease weaving times by 13.1%-14.1%, which can lead to a 15%-17% increase in monthly income for weavers. Our analysis also suggests that this impact is heterogeneous, with visits to difficult-to-weave rugs, and visits that are more consistently scheduled, leading to maximum productivity gains for the weavers. To capitalize on these insights, we propose a novel predict-then-optimize framework for optimizing supervisor visits in the supply chain. Finally, we demonstrate that the proposed framework can significantly increase weaver productivity even after accounting for various operational and scheduling constraints. This research offers valuable insights into other distributed supply chains and highlight how supply chain considerations can play a critical role in improving the productivity of the workforce in resource-constrained settings.
  

  Author[s]

  • Somya Singhvi
  • Divya Singhvi
  • Xinyu Zhang

  Publication

  SSRN

  Publication Date

  08.07.2023

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