Exploring the Influence of Personality Traits on Affective Customer Experiences in Retailing: Combination of Heart Rate Variability (HRV) and Self-Report Measures

Anna Hermes, René Riedl

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

Abstract

As a result of changes in customers’ shopping behaviors and a corresponding increase in omnichannel behavior (i.e., a blend of online and offline channels), a good customer experience (CX) is crucial for retailers’ success. Affective CX responses are especially crucial in impacting a company’s marketing outcomes, such as a high level of future purchase intentions. Here, we hypothesize that a customer’s affective CX is significantly influenced by his or her personality traits. Based on this hypothesis, we plan to collect physiological data (heart rate variability) and self-report data to study affective CX. Specifically, we will examine the relationship between personality traits, affective CX, and future purchase channel choice intentions. Based on the findings, we will then formulate academic and manage-rial implications
Original languageEnglish
Title of host publicationInformation Systems and Neuroscience - NeuroIS Retreat 2021
Editors Davis F.D., Riedl R., vom Brocke J., Léger PM., Randolph A.B., Müller-Putz G.
PublisherSpringer Verlag
Number of pages10
DOIs
Publication statusPublished - 2021

Publication series

NameLecture Notes in Information Systems and Organisation

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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