Acceptance and adoption of the innovative use of smartphone

Yangil Park, Jengchung V. Chen

Research output: Contribution to journalArticle

261 Citations (Scopus)

Abstract

Purpose: The purpose of this study is to investigate human motivations affecting an adoption decision for smartphone among medical doctors and nurses. Design/methodology/approach: This study investigates smartphone users' perception based on users' perceived adoption under the self-efficacy, technology acceptance model (TAM) and innovation attributes leading to an adoption attitude under innovation diffusion theory by providing research constructs for the domain of medical doctors and nurses, testing them with reliability and validity, and demonstrating their distinctiveness with hypothesis testing. Findings: The results indicate that behavioral intention to use was largely influenced by perceived usefulness (PU) and attitude toward using smartphone. PU and perceived ease of use positively determine attitude toward using smartphone. Research limitations/implications: For researchers, this study shows the possible and valuable adaptation of TAM constructs into the smartphone acceptance of doctors and nurses. The perceptions of smartphone adoption in this study are based on a one-time survey. For better reliability a longitudinal study to show the measurement of attitudes will be needed. Practical implications: One of the important implications is that organizational factors become a significant predictor of users' attitude toward innovative technologies. Originality/value: The domain of research, smartphone, is a new technology in some industries; thus smartphone adoption deserves investigation in its own right. Although academic research of smartphone adoption in healthcare is limited, this study contributes to the field by adding an important new investigation.

Original languageEnglish
Pages (from-to)1349-1365
Number of pages17
JournalIndustrial Management and Data Systems
Volume107
Issue number9
DOIs
Publication statusPublished - 2007 Nov 9

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Industrial relations
  • Computer Science Applications
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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