article

The Moderation Role of AI-Enabled Service Quality on the Attitude Toward Fitness Apps

Authors:

Hsiao-Ting Tseng,

Chun-Chih ChenAuthors Info & Claims

Journal of Global Information Management (JGIM), Volume 31, Issue 1

Pages 1 - 20

https://doi.org/10.4018/JGIM.318694

Published: 03 March 2023 Publication History

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.

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Cited By

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Index Terms

The Moderation Role of AI-Enabled Service Quality on the Attitude Toward Fitness Apps
1. Applied computing
2. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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cover image Journal of Global Information Management

Journal of Global Information Management Volume 31, Issue 1

Feb 2023

1381 pages

ISSN:1062-7375

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Published: 03 March 2023

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Cited By

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https://dl.acm.org/doi/10.4018/JGIM.352857
Meng MLiu CHuang ZWang X(2024)Consumer Usage of Mobile Visual Search in ChinaJournal of Global Information Management10.4018/JGIM.34973132:1(1-29)Online publication date: 7-Aug-2024
https://dl.acm.org/doi/10.4018/JGIM.349731
Jasimuddin SAlmuraqab NSaci F(2024)Exploring Determinants That Influence the Usage Intention of AI-Based Customer Services in the UAEJournal of Global Information Management10.4018/JGIM.34330832:1(1-16)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.4018/JGIM.343308
Yan WHu BLiu YLi CSong C(2024)Does usage scenario matter? Investigating user perceptions, attitude and support for policies towards ChatGPTInformation Processing and Management: an International Journal10.1016/j.ipm.2024.10386761:6Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1016/j.ipm.2024.103867

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