Empirical Study on the Factors Affecting User Switching Behavior of Online Learning Platform Based on Push-Pull-Mooring Theory

Online learning is gaining popularity, but users can easily find alternatives and switch between learning platforms. Reducing users switching behavior is a critical condition for the sustainable development of an online learning platform; therefore, it is necessary to investigate the influence facto...

Full description

Bibliographic Details
Main Authors: Heng Xu, Jingru Wang, Zhaodan Tai, Hao-Chiangkoong Lin
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sustainability
Subjects:
PPM
Online Access:https://www.mdpi.com/2071-1050/13/13/7087
id doaj-77f9fcbe1faf4aa3a4972081ab4088c9
record_format Article
spelling doaj-77f9fcbe1faf4aa3a4972081ab4088c92021-07-15T15:46:34ZengMDPI AGSustainability2071-10502021-06-01137087708710.3390/su13137087Empirical Study on the Factors Affecting User Switching Behavior of Online Learning Platform Based on Push-Pull-Mooring TheoryHeng Xu0Jingru Wang1Zhaodan Tai2Hao-Chiangkoong Lin3School of Management, Henan University of Technology, Zhengzhou 450001, ChinaSchool of Management, Henan University of Technology, Zhengzhou 450001, ChinaSchool of Foreign Languages, Henan University of Technology, Zhengzhou 450001, ChinaDepartment of Information and Learning Technology, National University of Tainan, Tainan 700, TaiwanOnline learning is gaining popularity, but users can easily find alternatives and switch between learning platforms. Reducing users switching behavior is a critical condition for the sustainable development of an online learning platform; therefore, it is necessary to investigate the influence factors of users switching behavior between different platforms to retain users and enhance the competitiveness of enterprises. Push-Pull-Mooring (PPM) theory is adopted to construct a structural equation model of customer switching behavior on online learning platforms and to explore the mechanism of user switching behavior between learning platforms. The model is tested with data collected from 313 online learning users. The results show that information overload and dissatisfaction, as push factors, significantly affect user switching behavior. Functional value and network externality as pull factors positively affect user switching behavior, switching cost, and affective commitment as mooring factors negatively correlate with switching behavior. Further, this study also revealed that there are obvious different influencing factors for different online learning platforms. Overall, this study provides some practical strategies for the online learning platform and can help them to gain a competitive advantage.https://www.mdpi.com/2071-1050/13/13/7087online learninguser switching behaviorPPMsustainable development
collection DOAJ
language English
format Article
sources DOAJ
author Heng Xu
Jingru Wang
Zhaodan Tai
Hao-Chiangkoong Lin
spellingShingle Heng Xu
Jingru Wang
Zhaodan Tai
Hao-Chiangkoong Lin
Empirical Study on the Factors Affecting User Switching Behavior of Online Learning Platform Based on Push-Pull-Mooring Theory
Sustainability
online learning
user switching behavior
PPM
sustainable development
author_facet Heng Xu
Jingru Wang
Zhaodan Tai
Hao-Chiangkoong Lin
author_sort Heng Xu
title Empirical Study on the Factors Affecting User Switching Behavior of Online Learning Platform Based on Push-Pull-Mooring Theory
title_short Empirical Study on the Factors Affecting User Switching Behavior of Online Learning Platform Based on Push-Pull-Mooring Theory
title_full Empirical Study on the Factors Affecting User Switching Behavior of Online Learning Platform Based on Push-Pull-Mooring Theory
title_fullStr Empirical Study on the Factors Affecting User Switching Behavior of Online Learning Platform Based on Push-Pull-Mooring Theory
title_full_unstemmed Empirical Study on the Factors Affecting User Switching Behavior of Online Learning Platform Based on Push-Pull-Mooring Theory
title_sort empirical study on the factors affecting user switching behavior of online learning platform based on push-pull-mooring theory
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-06-01
description Online learning is gaining popularity, but users can easily find alternatives and switch between learning platforms. Reducing users switching behavior is a critical condition for the sustainable development of an online learning platform; therefore, it is necessary to investigate the influence factors of users switching behavior between different platforms to retain users and enhance the competitiveness of enterprises. Push-Pull-Mooring (PPM) theory is adopted to construct a structural equation model of customer switching behavior on online learning platforms and to explore the mechanism of user switching behavior between learning platforms. The model is tested with data collected from 313 online learning users. The results show that information overload and dissatisfaction, as push factors, significantly affect user switching behavior. Functional value and network externality as pull factors positively affect user switching behavior, switching cost, and affective commitment as mooring factors negatively correlate with switching behavior. Further, this study also revealed that there are obvious different influencing factors for different online learning platforms. Overall, this study provides some practical strategies for the online learning platform and can help them to gain a competitive advantage.
topic online learning
user switching behavior
PPM
sustainable development
url https://www.mdpi.com/2071-1050/13/13/7087
work_keys_str_mv AT hengxu empiricalstudyonthefactorsaffectinguserswitchingbehaviorofonlinelearningplatformbasedonpushpullmooringtheory
AT jingruwang empiricalstudyonthefactorsaffectinguserswitchingbehaviorofonlinelearningplatformbasedonpushpullmooringtheory
AT zhaodantai empiricalstudyonthefactorsaffectinguserswitchingbehaviorofonlinelearningplatformbasedonpushpullmooringtheory
AT haochiangkoonglin empiricalstudyonthefactorsaffectinguserswitchingbehaviorofonlinelearningplatformbasedonpushpullmooringtheory
_version_ 1721298414395719680