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Intention in information systems adoption and use: Current state and research directions

  • Anand Jeyaraj*
  • , Yogesh K. Dwivedi
  • , Viswanath Venkatesh
  • *Corresponding author for this work

Research output: Contribution to journalEditorial

75 Scopus citations

Abstract

Intention has been a key dependent variable in information system (IS) research for the last several decades. It features in various IS acceptance models including the technology acceptance model (TAM), the elaboration likelihood model, the IS success model, and the unified theory of acceptance and use of technology (UTAUT). In the context of IS adoption and use, intention has been portrayed in different forms including intention to adopt, intention to use, intention to continue use, intention to discontinue, and intention to switch. It has been modeled as an antecedent to behavior, a consequent of behavior, and a proxy for behavior. Prior studies of intention have been contextualized in a various settings involving use contexts (i.e., voluntary vs. mandatory use), populations (i.e., non-adopters, adopters, users), respondents (i.e., students, employees), and duration of use (i.e., limited vs. indefinite time), have used cross-sectional and longitudinal empirical designs, and employed different measurement instruments. This editorial provides a brief review of extant IS literature on intention, highlights underlying issues, and proposes directions for future research.

Original languageEnglish
Article number102680
JournalInternational Journal of Information Management
Volume73
DOIs
StatePublished - Dec 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 Elsevier Ltd

Keywords

  • Information systems
  • Intention to adopt
  • Intention to continue use
  • Intention to discontinue
  • Intention to readopt
  • Intention to switch
  • Intention to upgrade
  • Intention to use

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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