IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-023-02516-x.html
   My bibliography  Save this article

Examining factors influencing the user’s loyalty on algorithmic news recommendation service

Author

Listed:
  • Chulmin Lim

    (Korea University)

  • Seongcheol Kim

    (Korea University)

Abstract

Based on user-related data, an algorithmic news recommendation service (ANRS) predicts users’ reading preferences and selectively recommends news. Given the double-edged opinions on ANRS, identifying and managing crucial factors influencing users’ satisfaction and trust in this service will be essential for service providers and developers. However, few studies have tried to find these factors or develop a more precise understanding of users’ perceptions of this service. Therefore, this study aims to examine factors affecting users’ loyalty to ANRS with partial least squares structural equation modelling (PLS-SEM). This study conducted an online survey for users of “My News”, the free mobile ANRS of NAVER, Korea’s dominant online portal site, and analyzed the data from 483 responses. This analysis verified that both satisfaction and trust positively affect loyalty to ANRS, and trust positively affects satisfaction. Moreover, it was found that perceived accuracy positively affects satisfaction. The result also showed that perceived news value and perceived transparency positively affect trust, and privacy concerns negatively affect it. Lastly, it was found that perceived usability and pre-existing attitude toward the service provider positively affect satisfaction and trust. The results and discussions will be helpful for service providers and developers to manage ANRS effectively based on users’ responses and perceptions of this service.

Suggested Citation

  • Chulmin Lim & Seongcheol Kim, 2024. "Examining factors influencing the user’s loyalty on algorithmic news recommendation service," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-023-02516-x
    DOI: 10.1057/s41599-023-02516-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-023-02516-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-023-02516-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhou, Qingji & Lim, Fong Jie & Yu, Han & Xu, Gaoqian & Ren, Xiaoyu & Liu, Dan & Wang, Xiangxin & Mai, Xinda & Xu, Hong, 2021. "A study on factors affecting service quality and loyalty intention in mobile banking," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    2. Martin, Kirsten, 2018. "The penalty for privacy violations: How privacy violations impact trust online," Journal of Business Research, Elsevier, vol. 82(C), pages 103-116.
    3. Zhang, Hong & Zhao, Ling & Gupta, Sumeet, 2018. "The role of online product recommendations on customer decision making and loyalty in social shopping communities," International Journal of Information Management, Elsevier, vol. 38(1), pages 150-166.
    4. Coelho, Pedro Simões & Rita, Paulo & Santos, Zélia Raposo, 2018. "On the relationship between consumer-brand identification, brand community, and brand loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 101-110.
    5. Mazaheri, Ebrahim & Basil, Debra Z. & Yanamandram, Venkata & Daroczi, Zoltan, 2011. "The impact of pre-existing attitude and conflict management style on customer satisfaction with service recovery," Journal of Retailing and Consumer Services, Elsevier, vol. 18(3), pages 235-245.
    6. Lu, Chih-Cheng & Wu, Ing-Long & Hsiao, Wei-Hung, 2019. "Developing customer product loyalty through mobile advertising: Affective and cognitive perspectives," International Journal of Information Management, Elsevier, vol. 47(C), pages 101-111.
    7. Heo, Cindy Yoonjoung & Kim, Bona & Park, Kwangsoo & Back, Robin M., 2022. "A comparison of Best-Worst Scaling and Likert Scale methods on peer-to-peer accommodation attributes," Journal of Business Research, Elsevier, vol. 148(C), pages 368-377.
    8. Zuiderveen Borgesius, Frederik J. & Trilling, Damian & Möller, Judith & Bodó, Balázs & de Vreese, Claes H. & Helberger, Natali, 2016. "Should we worry about filter bubbles?," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 5(1), pages 1-16.
    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. Heba E. Hassan, 2024. "The role of mobile shopping service quality in enhancing customers M-satisfaction, M-loyalty, and E-word of mouth," Future Business Journal, Springer, vol. 10(1), pages 1-14, December.
    2. Cheng, Junjun & Chen, Bo & Huang, Zihang, 2023. "Collective-based ad transparency in targeted hotel advertising: Consumers’ regulatory focus underlying the crowd safety effect," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    3. Theodora A. Maniou & Andreas Veglis, 2020. "Employing a Chatbot for News Dissemination during Crisis: Design, Implementation and Evaluation," Future Internet, MDPI, vol. 12(7), pages 1-14, June.
    4. Guohui Song & Yongbin Wang, 2021. "Mainstream Value Information Push Strategy on Chinese Aggregation News Platform: Evolution, Modelling and Analysis," Sustainability, MDPI, vol. 13(19), pages 1-17, October.
    5. Jintang Wang & Junyun Liao & Shiyong Zheng & Biqing Li, 2019. "Examining Drivers of Brand Community Engagement: The Moderation of Product, Brand and Consumer Characteristics," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
    6. Büyükdağ, Naci & Kitapci, Olgun, 2021. "Antecedents of consumer-brand identification in terms of belonging brands," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    7. Hallikainen, Heli & Luongo, Milena & Dhir, Amandeep & Laukkanen, Tommi, 2022. "Consequences of personalized product recommendations and price promotions in online grocery shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
    8. Hyemi Um & Jingwen Dong & Myeonggil Choi & Jaeyeob Jeong, 2021. "The Effect of Cultural City on Regional Activation through the Consumer Reactions of Urban Service," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    9. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    10. Smith, Ronn J. & Knuff, David C. & Sprott, David E. & Spangenberg, Eric R., 2013. "The influence of negative marketplace information on consumer attitudes toward a service establishment," Journal of Retailing and Consumer Services, Elsevier, vol. 20(3), pages 358-364.
    11. Prado, Tiago S., 2021. "Assessing the Market Power of Digital Platforms," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238048, International Telecommunications Society (ITS).
    12. Som Sekhar Bhattacharyya & Arvind Sahay & Arunaditya Sahay, 2022. "The Quest for Competitive Advantage: The Role of Technology Depth and Breadth at the Customer Interface," Vikalpa: The Journal for Decision Makers, , vol. 47(4), pages 274-287, December.
    13. Lee, Kuo-Wei & Li, Chia-Ying, 2023. "It is not merely a chat: Transforming chatbot affordances into dual identification and loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    14. Jung-Chieh Lee & Yuyin Tang & SiQi Jiang, 2023. "Understanding continuance intention of artificial intelligence (AI)-enabled mobile banking applications: an extension of AI characteristics to an expectation confirmation model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    15. Blut, Markus & Ghiassaleh, Arezou & Wang, Cheng, 2023. "Testing the performance of online recommendation agents: A meta-analysis," Journal of Retailing, Elsevier, vol. 99(3), pages 440-459.
    16. Azad Moghddam, Hamed & Carlson, Jamie & Wyllie, Jessica & Mahmudur Rahman, Syed, 2024. "Scroll, Stop, Shop: Decoding impulsive buying in social commerce," Journal of Business Research, Elsevier, vol. 182(C).
    17. Francisco J. Martínez-López & Rocío Aguilar-Illescas & Sebastián Molinillo & Rafael Anaya-Sánchez & J. Andres Coca-Stefaniak & Irene Esteban-Millat, 2021. "The Role of Online Brand Community Engagement on the Consumer–Brand Relationship," Sustainability, MDPI, vol. 13(7), pages 1-17, March.
    18. Bogomolova, Svetlana, 2016. "Determinants of ex-customer winback in financial services," Journal of Retailing and Consumer Services, Elsevier, vol. 32(C), pages 1-6.
    19. DeMora, Stephanie L. & Granados Samayoa, Javier A. & Albarracín, Dolores, 2024. "Social media use and vaccination among Democrats and Republicans: Informational and normative influences," Social Science & Medicine, Elsevier, vol. 352(C).
    20. Tomasz Gajderowicz & Maciej Jakubowski & Sylwia Wrona & Ghadah Alkhadim, 2023. "Is students’ teamwork a dreamwork? A new DCE-based multidimensional approach to preferences towards group work," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-023-02516-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.