Implementing and Scaling AI

Abstract: Artificial intelligence (AI) will have a substantial impact on firms in virtually all industries. Without guidance on how to implement and scale AI, companies will be outcompeted by the next generation of highly innovative and competitive companies that manage to incorporate AI into their operations. Research shows that competition is fierce and that there is a lack of frameworks to implement and scale AI successfully. This study begins to address this gap by providing a systematic review and analysis of different approaches by companies to using AI in their organizations. Based on these experiences, we identify key components of implementing and scaling AI in organizations and propose phases of implementing and scaling AI in firms.

Bio: Naomi Haefner is an Assistant Professor of Technology Management at the University of St. Gallen, Switzerland. Her research interests include the impact of artificial intelligence on management and innovation in organizations. Her prior work has been published in Entrepreneurship Theory and Practice, Technological Forecasting and Social Change, and Small Business Economics.