Ux analysis based on TR and UTAUT of sports smart wearable devices

Su Hwang Seol, Dae Sun Ko, In Sung Yeo

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


The main purpose of this research is to investigate relationships between the significant control factors on acceptance intention to User Experience (UX) sports smart wearable devices by applying Technology Readiness (TR) and Unified Theory of Technology (UTAUT). Research survey targeted on users of golf smart devices in Seoul. A total 534 questionnaires were collected and used for testing hypotheses. Methods to analyze the data included frequency analysis, reliability analysis, confirmatory factor analysis, correlation analysis, and structural equation modeling in accordance with the purpose of the study by using SPSS and AMOS. The results are as follows; First, positive TR had a significantly positive effect on social influence, effort expectancy, facilitating conditions, perceived enjoyment, performance expectancy. Second, negative TR had a significant negative effect on performance expectancy, social influence, facilitating conditions, perceived enjoyment. Third, TR had a no significantly effect on behavioral intention. Fourth, performance expectancy, perceived enjoyment and facilitating conditions had a significantly positive effect on behavioral intention. Fifth, behavioral intention had a significantly positive effect on use behavior. Thus it became crucial to identify the difference in acceptance intention models per each products are as follows. Positive TR of golf-related mobile application users has a positive effect on both technology acceptance belief and acceptance intention, whereas negative TR has no statistically significant effect on technology acceptance belief nor acceptance intention.

Original languageEnglish
Pages (from-to)4162-4179
Number of pages18
JournalKSII Transactions on Internet and Information Systems
Issue number8
Publication statusPublished - 2017 Aug 31

Bibliographical note

Publisher Copyright:
© 2017 KSII.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications


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