The battle of Brain vs. Heart: A literature review and meta-analysis of “hedonic motivation” use in UTAUT2

  • Kuttimani Tamilmani*
  • , Nripendra P. Rana
  • , Naveena Prakasam
  • , Yogesh K. Dwivedi
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

301 Scopus citations

Abstract

Much of the scholarly debate on the extrinsic-intrinsic motivation dichotomy to date has focused on organisational context. However, the recent upsurge of technology use amongst individuals in non-organisational context has led to consumer-focused research model such as extended unified theory of acceptance and use of technology (UTAUT2). The objective of this study is to bring back much needed focus on motivation dichotomy from the consumer perspective. This involved a systematic review and meta-analysis of hedonic motivation an affective construct in UTAUT2 studies. The findings from 79 UTAUT2 empirical studies revealed that only 46 studies (58%) utilised hedonic motivation while the remaining 33 studies (42%) omitted the construct. Extrinsic motivation was the major driver of non-hedonic and non-significant hedonic motivation studies with individuals using technologies for utilitarian outcomes. Unlike UTAUT2, moderators association of hedonic motivation were non-significant in determining consumer intention to use technology. The findings also revealed an important association between hedonic motivation and effort expectancy, in addition to fruitful directions for research and practice.

Original languageEnglish
Pages (from-to)222-235
Number of pages14
JournalInternational Journal of Information Management
Volume46
DOIs
StatePublished - Jun 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Ltd

Keywords

  • Citation analysis
  • Hedonic motivation
  • Intrinsic motivation
  • Meta-analysis
  • UTAUT2

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management
  • Marketing
  • Library and Information Sciences
  • Artificial Intelligence

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