{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T16:38:32Z","timestamp":1790181512205,"version":"4.1.0"},"reference-count":74,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2024,10,24]],"date-time":"2024-10-24T00:00:00Z","timestamp":1729728000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72104187"],"award-info":[{"award-number":["72104187"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Funds for the Central Universities","award":["72104187"],"award-info":[{"award-number":["72104187"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Behavioral Sciences"],"abstract":"<jats:p>With the rapid development of mobile applications (apps), various types of mobile apps have become the main channels for smartphone interaction. The user\u2019s app switching behavior in mobile search tasks has also received attention from academia. This article uses the push\u2013pull\u2013mooring (PPM) theoretical model to determine the three influencing factors of push, pull, and mooring that affect user\u2019s 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\u2019 willingness to switch apps. In terms of pulling factors, the attractiveness of alternative products and users\u2019 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.<\/jats:p>","DOI":"10.3390\/bs14110989","type":"journal-article","created":{"date-parts":[[2024,10,24]],"date-time":"2024-10-24T05:47:33Z","timestamp":1729748853000},"page":"989","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Understanding Users\u2019 App-Switching Behavior During the Mobile Search: An Empirical Study from the Perspective of Push\u2013Pull\u2013Mooring Framework"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3125-448X","authenticated-orcid":false,"given":"Shaobo","family":"Liang","sequence":"first","affiliation":[{"name":"Research Institute of Digital Commerce, Wuhan Technology and Business University, Wuhan 430065, China"},{"name":"School of Information Management, Wuhan University, Wuhan 430072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziyi","family":"Wei","sequence":"additional","affiliation":[{"name":"Faculty of Education, University of Hong Kong, Pok Fu Lam, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,24]]},"reference":[{"key":"ref_1","unstructured":"(2024, May 15). 34 Eye-Opening Google Search Statistics for 2024. 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