Understanding Users’ App-Switching Behavior During the Mobile Search: An Empirical Study from the Perspective of Push–Pull–Mooring Framework

With the rapid development of mobile applications (apps), various types of mobile apps have become the main channels for smartphone interaction. The user’s app switching behavior in mobile search tasks has also received attention from academia. This article uses the push–pull–mooring (PPM) theoretic...

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Main Authors: Shaobo Liang, Ziyi Wei
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Behavioral Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-328X/14/11/989
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author Shaobo Liang
Ziyi Wei
author_facet Shaobo Liang
Ziyi Wei
author_sort Shaobo Liang
collection DOAJ
description With the rapid development of mobile applications (apps), various types of mobile apps have become the main channels for smartphone interaction. The user’s app switching behavior in mobile search tasks has also received attention from academia. This article uses the push–pull–mooring (PPM) theoretical model to determine the three influencing factors of push, pull, and mooring that affect user’s app switching behavior in mobile search. Data were collected from 374 respondents using a structural equation model. This study can deepen the understanding of app switching in user mobile search from the perspectives of information source selection, user information search path, etc. This study found that in terms of pushing factors, the complexity of search tasks positively affects users’ willingness to switch apps. In terms of pulling factors, the attractiveness of alternative products and users’ follow-up activities will positively affect their switching willingness. Meanwhile, inertia serves as a mooring variable to regulate the relationship between push-pull factors and user switching intentions. This research highlights key insights on user behavior, follow-up activities, and the role of switching costs and inertia, contributing to the broader literature on information-seeking behavior. It also provides actionable recommendations for app developers to enhance search experiences and retain users by integrating personalized, multi-modal features.
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spelling doaj-art-0dc6fff42b5d41f8af1bd3ff4f4cc9f52024-11-26T17:51:17ZengMDPI AGBehavioral Sciences2076-328X2024-10-01141198910.3390/bs14110989Understanding Users’ App-Switching Behavior During the Mobile Search: An Empirical Study from the Perspective of Push–Pull–Mooring FrameworkShaobo Liang0Ziyi Wei1Research Institute of Digital Commerce, Wuhan Technology and Business University, Wuhan 430065, ChinaFaculty of Education, University of Hong Kong, Pok Fu Lam, Hong KongWith the rapid development of mobile applications (apps), various types of mobile apps have become the main channels for smartphone interaction. The user’s app switching behavior in mobile search tasks has also received attention from academia. This article uses the push–pull–mooring (PPM) theoretical model to determine the three influencing factors of push, pull, and mooring that affect user’s app switching behavior in mobile search. Data were collected from 374 respondents using a structural equation model. This study can deepen the understanding of app switching in user mobile search from the perspectives of information source selection, user information search path, etc. This study found that in terms of pushing factors, the complexity of search tasks positively affects users’ willingness to switch apps. In terms of pulling factors, the attractiveness of alternative products and users’ follow-up activities will positively affect their switching willingness. Meanwhile, inertia serves as a mooring variable to regulate the relationship between push-pull factors and user switching intentions. This research highlights key insights on user behavior, follow-up activities, and the role of switching costs and inertia, contributing to the broader literature on information-seeking behavior. It also provides actionable recommendations for app developers to enhance search experiences and retain users by integrating personalized, multi-modal features.https://www.mdpi.com/2076-328X/14/11/989mobile searchinformation search behaviorPPM modelswitching behavior
spellingShingle Shaobo Liang
Ziyi Wei
Understanding Users’ App-Switching Behavior During the Mobile Search: An Empirical Study from the Perspective of Push–Pull–Mooring Framework
Behavioral Sciences
mobile search
information search behavior
PPM model
switching behavior
title Understanding Users’ App-Switching Behavior During the Mobile Search: An Empirical Study from the Perspective of Push–Pull–Mooring Framework
title_full Understanding Users’ App-Switching Behavior During the Mobile Search: An Empirical Study from the Perspective of Push–Pull–Mooring Framework
title_fullStr Understanding Users’ App-Switching Behavior During the Mobile Search: An Empirical Study from the Perspective of Push–Pull–Mooring Framework
title_full_unstemmed Understanding Users’ App-Switching Behavior During the Mobile Search: An Empirical Study from the Perspective of Push–Pull–Mooring Framework
title_short Understanding Users’ App-Switching Behavior During the Mobile Search: An Empirical Study from the Perspective of Push–Pull–Mooring Framework
title_sort understanding users app switching behavior during the mobile search an empirical study from the perspective of push pull mooring framework
topic mobile search
information search behavior
PPM model
switching behavior
url https://www.mdpi.com/2076-328X/14/11/989
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AT ziyiwei understandingusersappswitchingbehaviorduringthemobilesearchanempiricalstudyfromtheperspectiveofpushpullmooringframework