Digital economics in the media and energy markets

Abstract

IT-enabled businesses have added complexity to the value chains, making it challenging for managers and policymakers to predict the consequences of IT adoption and related policies. My research helps resolve such difficulties through econometric approaches in the media and energy industries. In the first work, I examined how consumers behave in streaming-based media platforms in response to an external shock on offline behaviors. Specifically, I investigated the impact of the COVID-19 pandemic on music consumption in audio-based and video-based streaming platforms. My second work examined how residential adoption of smart metering technology (SMT) affects energy-saving behaviors and what moderates this effect. Building on cognitive dissonance theory, I suggested a theoretical framework for this phenomenon and empirically validated this model using a household-level dataset in the United Kingdom.