Algorithm Attraction versus Aversion: The Role of the Perceived Self-Efficacy of the Decision Maker

• In Event: Working Paper Session & Reception
  In Working Paper Session: Pod Q: Digital Consumption

Short Abstract

Nowadays algorithms are used to generate recommendations in numerous areas, including ones that are pure matter of taste. Across four studies, we demonstrate that consumers value the same recommendation differently depending on the framing of its source—an algorithm versus human expert—and their own perceived level of self-efficacy.

Authors

• Gizem Yalcin, Erasmus University Rotterdam, The Netherlands

• Anne-Kathrin Klesse, Erasmus University Rotterdam, The Netherlands

• Darren Dahl, University of British Columbia, Canada