IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p12992-d939008.html
   My bibliography  Save this article

Understanding the Paths and Patterns of App-Switching Experiences in Mobile Searches

Author

Listed:
  • Shaobo Liang

    (School of Information Management, Wuhan University, Wuhan 430072, China
    Center for Studies of Human-Computer Interaction and User Behavior, Wuhan University, Wuhan 430072, China)

  • Dan Wu

    (School of Information Management, Wuhan University, Wuhan 430072, China
    Center for Studies of Human-Computer Interaction and User Behavior, Wuhan University, Wuhan 430072, China)

  • Jing Dong

    (School of Information Management, Central China Normal University, Wuhan 430079, China)

Abstract

Mobile searches have become the main channel for people to search for information, and mobile searches have received attention in the field of information-seeking behavior. Especially as users use various apps to search network information, the app-switching behaviors in mobile searches have also attracted scholars’ attention in recent years. Research on app-switching behaviors in mobile searches can help to further understand users’ search motivations, evaluate search results, and improve users’ mobile search experiences. This study recruited participants ( n = 30) and conducted a 15-day user experiment. This study collected all participants’ mobile phone log data during the experiment and identified the app-switching behaviors in mobile searches through a log collection tool. This study aimed to discover the app-switching behavior paths and patterns in mobile searches. Firstly, the basic characteristics of app-switching behaviors in mobile searches were analyzed, as were the app-switching paths in mobile searches from the perspective of switching probability between apps. Then, the different behaviors in mobile search sessions were identified and app-switching behavior patterns were put forward. These behavior patterns summarize user behavior changes in mobile search sessions. This paper focused on analyzing app-switching behavior paths under different patterns and found apparent differences in app-switching behavior paths. This study examined mobile search behavior from the perspective of app-switching. The research of this paper can help to better understand the relationship between users’ mobile search behaviors and app interactions and is an excellent supplement to the analysis of mobile search behaviors.

Suggested Citation

  • Shaobo Liang & Dan Wu & Jing Dong, 2022. "Understanding the Paths and Patterns of App-Switching Experiences in Mobile Searches," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:12992-:d:939008
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/12992/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/20/12992/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Singh, Yashdeep & Suri, Pradeep Kumar, 2022. "An empirical analysis of mobile learning app usage experience," Technology in Society, Elsevier, vol. 68(C).
    2. Mingyang Zhang & Heyan Xu & Ning Ma & Xinglin Pan, 2022. "Intelligent Vehicle Sales Prediction Based on Online Public Opinion and Online Search Index," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    3. Tyagi, Aruna & Prasad, Anoop Kumar & Bhatia, Dinesh, 2021. "Effects of excessive use of mobile phone technology in India on human health during COVID-19 lockdown," Technology in Society, Elsevier, vol. 67(C).
    4. Laura Zimmermann, 2021. "“Your Screen-Time App Is Keeping Track”: Consumers Are Happy to Monitor but Unlikely to Reduce Smartphone Usage," Journal of the Association for Consumer Research, University of Chicago Press, vol. 6(3), pages 377-382.
    5. Yan Zhang, 2014. "Beyond quality and accessibility: Source selection in consumer health information searching," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(5), pages 911-927, May.
    6. Lian, Jiunn-Woei & Li, Ji, 2021. "The dimensions of trust:An investigation of mobile payment services in Taiwan," Technology in Society, Elsevier, vol. 67(C).
    7. Ang Li & Bo Li & Xia Liu & Ying Zhang & Haiyan Zhang & Xuyang Lei & Suxia Hou & Bin Lu, 2022. "Characteristics and Dynamics of University Students’ Awareness of Retired Mobile Phones in China," Sustainability, MDPI, vol. 14(17), pages 1-14, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu Chi & Daqing He & Wei Jeng, 2020. "Laypeople's source selection in online health information‐seeking process," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(12), pages 1484-1499, December.
    2. Hilal Shams & Altaf Hossain Molla & Mohd Nizam Ab Rahman & Hawa Hishamuddin & Zambri Harun & Nallapaneni Manoj Kumar, 2023. "Exploring Industry-Specific Research Themes on E-Waste: A Literature Review," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    3. Rakesh Kumar & Rubee Singh & Kishore Kumar & Shahbaz Khan & Vincenzo Corvello, 2023. "How Does Perceived Risk and Trust Affect Mobile Banking Adoption? Empirical Evidence from India," Sustainability, MDPI, vol. 15(5), pages 1-21, February.
    4. Zhang, Qi & Ariffin, Shaizatulaqma Kamalul & Richardson, Christopher & Wang, Yuling, 2023. "Influencing factors of customer loyalty in mobile payment: A consumption value perspective and the role of alternative attractiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    5. Jiang Shen & Bang An & Man Xu & Dan Gan & Ting Pan, 2022. "Internal or External Word-of-Mouth (WOM), Why Do Patients Choose Doctors on Online Medical Services (OMSs) Single Platform in China?," IJERPH, MDPI, vol. 19(20), pages 1-14, October.
    6. Vimala Balakrishnan & Chin Lay Gan, 2023. "Going Cashless? Elucidating Predictors for Mobile Payment Users’ Readiness and Intention to Adopt," SAGE Open, , vol. 13(4), pages 21582440231, December.
    7. Faten Aisyah Ahmad Ramli & Muhammad Iskandar Hamzah & Siti Norida Wahab & Rishabh Shekhar, 2023. "Modeling the Brand Equity and Usage Intention of QR-Code E-Wallets," FinTech, MDPI, vol. 2(2), pages 1-16, March.
    8. Yuqi Zhao & Young-Hwan Pan, 2023. "A Study of the Impact of Cultural Characteristics on Consumers’ Behavioral Intention for Mobile Payments: A Comparison between China and Korea," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    9. Min Zhao & Yu Fang & Debao Dai, 2023. "Forecast of the Evolution Trend of Total Vehicle Sales and Power Structure of China under Different Scenarios," Sustainability, MDPI, vol. 15(5), pages 1-22, February.
    10. van der Waal, Nadine Elisa & de Wit, Jan & Bol, Nadine & Ebbers, Wolfgang & Hooft, Lotty & Metting, Esther & van der Laan, Laura Nynke, 2022. "Predictors of contact tracing app adoption: Integrating the UTAUT, HBM and contextual factors," Technology in Society, Elsevier, vol. 71(C).
    11. Hamzah, Muhammad Iskandar & Ramli, Faten Aisyah Ahmad & Shaw, Norman, 2023. "The moderating influence of brand image on consumers' adoption of QR-code e-wallets," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    12. Cheng-Chia Yang & Shang-Yu Yang & Yu-Chia Chang, 2023. "Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model," IJERPH, MDPI, vol. 20(2), pages 1-17, January.
    13. Osnat Roth-Cohen & Shalom Levy & Avi Zigdon, 2021. "The Mediated Role of Credibility on Information Sources and Patient Awareness toward Patient Rights," IJERPH, MDPI, vol. 18(16), pages 1-15, August.
    14. Zhong, Junying & Chen, Tiao, 2023. "Antecedents of mobile payment loyalty: An extended perspective of perceived value and information system success model," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:12992-:d:939008. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.