TECHNOLOGICAL INNOVATIONS AND THEIR CONSEQUENCES: EVIDENCE FROM AI IMPACTS ON DELEGATION BEHAVIORS AND REMOTE WORK CYBERSECURITY BEHAVIORS

Abstract

Innovation is the ultimate force that drives the development of society. In this dissertation, I examine the economic and organizational outcomes of technological innovations. In my first paper, I study how Artificial intelligence (AI) technology innovation replaces the intermediary role of real estate agents by reducing information asymmetry through delegation mechanisms. I found that consumers are more likely to delegate to AI algorithms as an alternative information source over real estate agents and this effect leads to the reduction of real estate agents’ employment. In my second paper, I studied technology innovation-led remote workforce settings from a cybersecurity risk perspective. Remote workforces are becoming more common due to technological advancements such as blockchain, and cybersecurity risks are documented to be higher for such remote workforces due to reduced monitoring and interactions with peers. I built and tested a model to explain cybersecurity behaviors in remote settings and found that determinants such as social influence differ from determinants in in-office settings. Both studies have implications for helping us better embrace the benefits of technology while controlling its negative effects.