Riding the Generative AI Wave: A Research Agenda for Navigating Tensions and Generating Value
Abstract
This paper sets out to explore the novel challenges and opportunities for value creation from Generative Artificial Intelligence (GenAI) and identify promising pathways for future research that can deeply inform practice. Drawing on insights from data executives globally and a case study, the research identifies three key emerging themes as crucial for understanding GenAI value: provider-driven model building and ownership, democratization of innovation and development, and localized model validation and application. These themes shed light on three set of tensions (need for speed versus transparency, democratizing innovation versus controlling risks, and automation efficiency versus knowledge preservation) that must be explored and resolved before business leaders can effectively advance their GenAI initiatives and find a path to value. Our proposed agenda addresses these tensions and aims to expedite socio-technical research regarding GenAI to keep pace with its rapid adoption.
About the Researchers
Ida A. Someh, Senior Lecturer in Business Information Systems, University of Queensland and Academic Research Fellow, MIT CISR
Ja-Naé Duane, Academic Director, PRIME and Lecturer, School of Engineering, Brown University and Academic Research Fellow, MIT CISR
Nick van der Meulen, Research Scientist, MIT Center for Information Systems Research (CISR)
Barbara H. Wixom, Principal Research Scientist, MIT Center for Information Systems Research (CISR)
MIT CENTER FOR INFORMATION SYSTEMS RESEARCH (CISR)
Founded in 1974 and grounded in MIT's tradition of combining academic knowledge and practical purpose, MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. We work directly with digital leaders, executives, and boards to develop our insights. Our research is funded by member organizations that support our work and participate in our consortium.