Dimensions of Retail Customer Experience and Its Outcomes: A Literature Review and Directions for Future Research

Anna Hermes, René Riedl

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

Abstract

Due to changes in customers’ shopping habits and increasing omnichannel behavior (i.e., use of both online and offline channels), a seamless customer experience (CX) with a retailer extends beyond the online shop. CX is a broad construct and researchers have used various measures to capture this construct. Consequently, it is difficult to compare CX outcomes. Against this background, this literature review analyzes CX dimensions, measures, and outcomes in a human-computer interaction context and beyond. Our results indicate that both affective and cognitive CX have been studied intensively. While affective CX has mostly been measured using the PAD (pleasure, arousal, dominance) scale, cognitive CX has largely been studied based on the flow concept. A few researchers have studied CX holistically, or as a social and sensorial phenomenon. Major outcomes studied in the extant literature include engagement, purchase intention, loyalty, commitment, word-of-mouth, satisfaction, and trust. Based on our findings, we discuss managerial implications as well as directions for future research.
Original languageEnglish
Title of host publicationHCI in Business, Government and Organizations. HCII 2021.
Number of pages19
Volume12783
DOIs
Publication statusPublished - 2021

Publication series

NameLecture Notes in Computer Science (LNCS)

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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