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How to Measure Customers’ Emotional Experience? A Short Review of Current Methods and a Call for Neurophysiological Approaches

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

In the digital age, retailers compete through various sales channels, both online and offline, with the effect that the customers’ experiences have increasingly gained attention in the omnichannel era. Specifically, customer emotions have become an important topic, because they affect attitudes towards products and services as well as purchase decisions. While the phenomenon of customer experience is widely researched, surprisingly, to the best of our knowledge, no peer-reviewed journal publication exists that has studied the phenomenon from a NeuroIS angle. Against this background, we conducted a short literature review to obtain an overview of NeuroIS methods used to study customer behavior in a shopping and retailing context. Further, we outline a brief research agenda, thereby addressing the possible use of NeuroIS approaches in the context of customers’ emotional experiences in retail.
Original languageEnglish
Title of host publicationInformation Systems and Neuroscience - NeuroIS Retreat 2020
EditorsFred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Thomas Fischer
PublisherSpringer
Pages211-219
Number of pages9
ISBN (Print)9783030600723
DOIs
Publication statusPublished - 2020

Publication series

NameLecture Notes in Information Systems and Organisation
Volume43
ISSN (Print)2195-4968
ISSN (Electronic)2195-4976

Fields of science

  • 303026 Public health
  • 305909 Stress research
  • 102 Computer Sciences
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102016 IT security
  • 502007 E-commerce
  • 502014 Innovation research
  • 502030 Project management
  • 501016 Educational psychology
  • 602036 Neurolinguistics
  • 501030 Cognitive science
  • 502032 Quality management
  • 502043 Business consultancy
  • 502044 Business management
  • 502050 Business informatics
  • 503008 E-learning
  • 509004 Evaluation research
  • 301407 Neurophysiology
  • 301401 Brain research

JKU Focus areas

  • Digital Transformation

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