Consumer Emotional Intelligence: Conceptualization, Measurement, and the Prediction of Consumer Decision Making

This research details the development of the “Consumer Emotional Intelligence Scale” (CEIS) designed to measure individual differences in consumer’s ability to use emotional information. Scale development procedures confirmed the theoretical higher-order model with 18 items representing the managing, facilitating, understanding, and perceiving dimensions. Additional results are reported that support the scale’s reliability, discriminant and nomological validity. Our domain-specific measure predicted consumer food choices better than a more domain-general alternative. Furthermore, consumer emotional intelligence predicted food choices beyond cognitive knowledge.


Blair Kidwell, David M. Hardesty, and Terry L. Childers (2008) ,"Consumer Emotional Intelligence: Conceptualization, Measurement, and the Prediction of Consumer Decision Making", in NA - Advances in Consumer Research Volume 35, eds. Angela Y. Lee and Dilip Soman, Duluth, MN : Association for Consumer Research, Pages: 660-662.


Blair Kidwell, University of Kentucky
David M. Hardesty, University of Kentucky
Terry L. Childers, University of Kentucky


NA - Advances in Consumer Research Volume 35 | 2008

Share Proceeding

Featured papers

See More


Promoting Well-being and Combating Harassment in the Academy

Ekant Veer, University of Canterbury, New Zealand
Zeynep Arsel, Concordia University, Canada
June Cotte, Ivey Business School
Jenna Drenten, Loyola University Chicago, USA
Markus Geisler, York University, Canada
Lauren Gurrieri, RMIT University
Julie L. Ozanne, University of Melbourne, Australia
Nicholas Pendarvis, California State University Los Angeles, USA
Andrea Prothero, University College Dublin
Minita Sanghvi, Skidmore College
Rajiv Vaidyanathan, University of Minnesota Duluth, USA
Stacy Wood, North Carolina State University

Read More


Can’t Take the Heat? Randomized Field Experiments in Household Electricity Consumption

Praveen Kumar Kopalle, Dartmouth College, USA

Read More


Product Transparency in Online Selling Mechanisms: Consumer Preference for Opaque Products

Lucas Stich, Ludwig-Maximilians-University Munich
Martin Spann, Ludwig-Maximilians-University Munich
Gerald Häubl, University of Alberta, Canada

Read More

Engage with Us

Becoming an Association for Consumer Research member is simple. Membership in ACR is relatively inexpensive, but brings significant benefits to its members.