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NTU Management Review
                                                               Vol. 33 No. 3 Dec. 2023, 127-164
                                                               https://doi.org/10.6226/NTUMR.202312_33(3).0004


               Understanding People's Switching Intentions of Health Apps
               from Exterior and Interior Drivers



               從外部和內部驅動力理解人們對於健康應用程式的轉換
               意圖



               Cheng-Kui Huang, Department of Business Administration, National Chung Cheng University
               黃正魁 / 國立中正大學企業管理學系
               Shin-Horng Chen, Department of Information Management, National Taipei University of
                    Business
               陳信宏 / 國立臺北商業大學資訊管理系
               Ming-Chu Chen, Department of Business Administration, National Chung Cheng University
               陳明珠 / 國立中正大學企業管理學系
               Received 2021/8, Final revision received 2023/2
               Abstract
               Health apps are one important type of apps that are designed to assist users with recording
               their health-related behaviors and giving advice to improve their physical condition.
               However, health apps users typically face a potential dilemma of keeping on using current
               apps or switching to others. This study conducts an empirical investigation and proposes
               an exterior-interior factor model based on Push-Pull-Mooring (PPM) model to figure out
               why users want to switch from the current health app to another new one. Specifically,
               positive drivers (exterior power) and negative drivers (interior power) are proposed in the
               research model to investigate switching intentions for health apps. The former includes
               attractive alternatives, social influence, and dissatisfaction with the current health app;
               the latter includes procedural switching costs and habits. To explore the determinants,
               this study conducts a survey and collects 218 qualified responses to serve as our research
               samples. We then exploit structural equation modeling (SEM) to analyze these samples.
               The result reveals that our research model explains 57% of the variance.

              【Keywords】switching intention, health apps, exterior drivers, interior drivers




















               領域主編:郭佳瑋教授

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