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

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

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.
OriginalspracheEnglisch
TitelInformation Systems and Neuroscience - NeuroIS Retreat 2020
Herausgeber*innenFred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Thomas Fischer
VerlagSpringer
Seiten211-219
Seitenumfang9
ISBN (Print)9783030600723
DOIs
PublikationsstatusVeröffentlicht - 2020

Publikationsreihe

NameLecture Notes in Information Systems and Organisation
Band43
ISSN (Print)2195-4968
ISSN (elektronisch)2195-4976

Wissenschaftszweige

  • 303026 Public Health
  • 305909 Stressforschung
  • 102 Informatik
  • 102006 Computer Supported Cooperative Work (CSCW)
  • 102015 Informationssysteme
  • 102016 IT-Sicherheit
  • 502007 E-Commerce
  • 502014 Innovationsforschung
  • 502030 Projektmanagement
  • 501016 Pädagogische Psychologie
  • 602036 Neurolinguistik
  • 501030 Kognitionswissenschaft
  • 502032 Qualitätsmanagement
  • 502043 Unternehmensberatung
  • 502044 Unternehmensführung
  • 502050 Wirtschaftsinformatik
  • 503008 E-Learning
  • 509004 Evaluationsforschung
  • 301407 Neurophysiologie
  • 301401 Hirnforschung

JKU-Schwerpunkte

  • Digital Transformation

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