Convergence adoption model (CAM) in the context of a smart car service

Sung Bin Yoon, Erin Cho (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

43 Citations (Scopus)

Abstract

This study proposes the convergence adoption model (CAM) in the context of a smart car service. The unique characteristics of convergence technology demand the incorporation of compatibility judgment, task-technology-fit (TTF) and the effect of visual design to fully understand users' adoption intention. The results of our study indicate that the compatibility with past experiences with existing and comparable technologies is indeed a critical factor affecting perceived ease-of-use, usefulness, and enjoyment of convergence technology. TTF is found to directly influence the adoption intention and mediate the effect of perceived usefulness and enjoyment on the adoption intention. Finally, the results show that visual attractiveness of the interface design enhances the evaluation of the key constructs of our model, such as compatibility judgment, perceived enjoyment, and adoption intention of convergence technology.

Original languageEnglish
Pages (from-to)500-507
Number of pages8
JournalComputers in Human Behavior
Volume60
DOIs
Publication statusPublished - Jul 2016
Externally publishedYes

Keywords

  • Adoption intention
  • Compatibility
  • Convergence Adoption Model
  • Convergence technology
  • Smart car service
  • Task-technology fit
  • User evaluation
  • Visual design

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Human-Computer Interaction
  • General Psychology

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