Three essays on the effects of price, information and algorithm based approaches for sustainable energy and digital service operations

Abstract

For reliable and sustainable service operations, managers have employed various approaches to support customer and service provider decisions, such as price (i.e., economic incentives, pricing policies) and nonprice approaches (i.e., real-time feedback, social comparison, moral appeals). In addition, recent innovation in artificial intelligence (AI) technologies and increased accessibility to large-scale data provides a chance to utilize algorithm-based approaches in daily service operations. Despite the previous literature examining the effects of these approaches on service consumers and providers in many contexts, studies remain incomplete as to what their mechanisms are, how they interact with each other, and how they may often result in undesirable consequences. In this dissertation, I call for a comprehensive understanding of the effects of price, information, and algorithm approaches on sustainable service operations.