The Moderation Role of AIEnabled Service Quality on the Attitude Toward Fitness Apps

Hsiao Ting Tseng, Chia Lun Lo, Chun Chih Chen

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Artificial intelligent technology is rapidly transforming the fitness apps landscape by applying data mining technologies within given parameters. These wide-ranging AI-enabled services improve user interface and enhance customers' experience when exercising with the fitness apps. The current study integrated the four antecedents-technological functions, intrinsic information quality, perceived enjoyment, and social connection-to investigate the moderating influence of AI-enabled service quality on users' attitude toward physical activity. PLS-SEM was used to analyze and validate a sample of 170 participants. The findings posited that individuals' attitude toward physical activity is encouraged by the (1) technological functions (2) intrinsic information quality, and (3) perceived enjoyment. Further, the moderating role of AI-enabled service positively influencing the attitude toward physical activity with technological functions was also established.

Original languageEnglish
JournalJournal of Global Information Management
Volume31
Issue number1
DOIs
StatePublished - 2023

Keywords

  • AI-Enabled Service Quality
  • Attitude
  • Intrinsic Information Quality
  • Perceived Enjoyment
  • Social Connections
  • Technological Functions

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