The Algorithmization of Consumer Research: How Algorithms Impact Mindsets, Markets, and Money Management
This special session features four papers addressing fundamental questions about consumers’ lay beliefs about algorithmic consumer assistance and their downstream effects on consumer choice, firm perception, and financial decision making. The papers of this session span multiple disciplines from diversity signaling in psychology to human-computer interaction, and explainable AI.
Citation:
Melanie Clegg, Reto Hofstetter, Emanuel de Bellis, Bernd Schmitt, Phyliss Gai, Eugina Leung, Anne Klesse, Noah Castelo, Johannes Boegershausen, Alexander Henkel, Christian Hildebrand, and Meike Zehnle (2021) ,"The Algorithmization of Consumer Research: How Algorithms Impact Mindsets, Markets, and Money Management", in NA - Advances in Consumer Research Volume 49, eds. Tonya Williams Bradford, Anat Keinan, and Matthew Matthew Thomson, Duluth, MN : Association for Consumer Research, Pages: 762-767.
Authors
Melanie Clegg, University of Lucerne
Reto Hofstetter, University of Lucerne
Emanuel de Bellis, University of Lausanne
Bernd Schmitt, Columbia University
Phyliss Gai, Peking University
Eugina Leung, Tulane Univesity
Anne Klesse, Rotterdam School of Management, Erasmus University
Noah Castelo, University of Alberta
Johannes Boegershausen, Erasmus University Rotterdam
Alexander Henkel, Open University
Christian Hildebrand, University of St. Gallen
Meike Zehnle, University of St. Gallen
Volume
NA - Advances in Consumer Research Volume 49 | 2021
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