IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v25y2023i1d10.1007_s10796-022-10262-9.html
   My bibliography  Save this article

Influencer is the New Recommender: insights for Theorising Social Recommender Systems

Author

Listed:
  • Ransome Epie Bawack

    (ICN Business School, CEREFIGE – University of Lorraine)

  • Emilie Bonhoure

    (Kedge Business School)

Abstract

Designing theory-driven social recommender systems (SRSs) has been a significant research challenge for over a decade. This study aims to identify behavioural factors that could improve the persuasiveness and quality of recommendations made by SRSs. Given both research streams’ striking similarity, it uses the recent yet rich research on social media influencers (SMI) to inform SRS research. Drawing on 72 publications, we classified 52 independent variables into 12 categories regrouped into three broad categories that characterise the relationships between the consumer and the (i) recommender system, (ii) product or brand, and (iii) and advert. The metanalysis results determined the relative importance of each category in predicting purchase intentions, placing recommender credibility and attitude towards the recommended product or brand at the top of the charts. Our findings are expected to facilitate more refined theory-building efforts and theory-driven designs in SRS research and practice.

Suggested Citation

  • Ransome Epie Bawack & Emilie Bonhoure, 2023. "Influencer is the New Recommender: insights for Theorising Social Recommender Systems," Information Systems Frontiers, Springer, vol. 25(1), pages 183-197, February.
    • Handle: RePEc:spr:infosf:v:25:y:2023:i:1:d:10.1007_s10796-022-10262-9
    DOI: 10.1007/s10796-022-10262-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-022-10262-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-022-10262-9?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. Kim H.Y. Hahn & Eun-Jung Lee, 2014. "Effect of psychological closeness on consumer attitudes toward fashion blogs: the moderating effect of fashion leadership and interpersonal LOV," Journal of Global Fashion Marketing, Taylor & Francis Journals, vol. 5(2), pages 103-121, April.
    2. Tien T. Nguyen & F. Maxwell Harper & Loren Terveen & Joseph A. Konstan, 2018. "User Personality and User Satisfaction with Recommender Systems," Information Systems Frontiers, Springer, vol. 20(6), pages 1173-1189, December.
    3. Jeyaraj, Anand & Dwivedi, Yogesh K., 2020. "Meta-analysis in information systems research: Review and recommendations," International Journal of Information Management, Elsevier, vol. 55(C).
    4. Sayooran Nagulendra & Julita Vassileva, 2016. "Providing awareness, explanation and control of personalized filtering in a social networking site," Information Systems Frontiers, Springer, vol. 18(1), pages 145-158, February.
    5. Olatz Arbelaitz & José María Martínez-Otzeta & Javier Muguerza, 2016. "User modeling in a social network for cognitively disabled people," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(2), pages 305-317, February.
    6. Friestad, Marian & Wright, Peter, 1994. "The Persuasion Knowledge Model: How People Cope with Persuasion Attempts," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 1-31, June.
    7. Kuttimani Tamilmani & Nripendra P. Rana & Yogesh K. Dwivedi, 2021. "Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2," Information Systems Frontiers, Springer, vol. 23(4), pages 987-1005, August.
    8. McCracken, Grant, 1989. "Who Is the Celebrity Endorser? Cultural Foundations of the Endorsement Process," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(3), pages 310-321, December.
    9. Rongmei Zhao & Xi Xiong & Xia Zu & Shenggen Ju & Zhongzhi Li & Binyong Li, 2020. "A Hierarchical Attention Recommender System Based on Cross-Domain Social Networks," Complexity, Hindawi, vol. 2020, pages 1-13, August.
    10. Sabrina Schneider & Michael Leyer, 2019. "Me or information technology? Adoption of artificial intelligence in the delegation of personal strategic decisions," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(3), pages 223-231, April.
    11. Argyris, Young Anna & Muqaddam, Aziz & Miller, Steven, 2021. "The effects of the visual presentation of an Influencer's Extroversion on perceived credibility and purchase intentions—moderated by personality matching with the audience," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    12. Weismueller, Jason & Harrigan, Paul & Wang, Shasha & Soutar, Geoffrey N., 2020. "Influencer endorsements: How advertising disclosure and source credibility affect consumer purchase intention on social media," Australasian marketing journal, Elsevier, vol. 28(4), pages 160-170.
    13. Elvira Ismagilova & Emma L. Slade & Nripendra P. Rana & Yogesh K. Dwivedi, 2020. "The Effect of Electronic Word of Mouth Communications on Intention to Buy: A Meta-Analysis," Information Systems Frontiers, Springer, vol. 22(5), pages 1203-1226, October.
    14. Shin, Eonyou & Lee, Jung Eun, 2021. "What makes consumers purchase apparel products through social shopping services that social media fashion influencers have worn?," Journal of Business Research, Elsevier, vol. 132(C), pages 416-428.
    15. Wien, Anders Hauge & Peluso, Alessandro M., 2021. "Influence of human versus AI recommenders: The roles of product type and cognitive processes," Journal of Business Research, Elsevier, vol. 137(C), pages 13-27.
    16. Chaochao Chen & Xiaolin Zheng & Mengying Zhu & Litao Xiao, 2016. "Recommender System with Composite Social Trust Networks," International Journal of Web Services Research (IJWSR), IGI Global, vol. 13(2), pages 56-73, April.
    17. Jianshan Sun & Rongrong Ying & Yuanchun Jiang & Jianmin He & Zhengping Ding, 2020. "Leveraging friend and group information to improve social recommender system," Electronic Commerce Research, Springer, vol. 20(1), pages 147-172, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Denis Dennehy & Anastasia Griva & Nancy Pouloudi & Yogesh K. Dwivedi & Matti Mäntymäki & Ilias O. Pappas, 2023. "Artificial Intelligence (AI) and Information Systems: Perspectives to Responsible AI," Information Systems Frontiers, Springer, vol. 25(1), pages 1-7, February.

    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. Lai-Ying Leong & Teck-Soon Hew & Keng-Boon Ooi & Bhimaraya Metri & Yogesh K. Dwivedi, 2023. "Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach," Information Systems Frontiers, Springer, vol. 25(5), pages 1847-1879, October.
    2. Thomas, Sunil & Kohli, Chiranjeev S., 2011. "Can brand image move upwards after Sideways? A strategic approach to brand placements," Business Horizons, Elsevier, vol. 54(1), pages 41-49.
    3. Yogesh K Dwivedi & Elvira Ismagilova & Prianka Sarker & Anand Jeyaraj & Yassine Jadil & Laurie Hughes, 2023. "A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption," Information Systems Frontiers, Springer, vol. 25(4), pages 1421-1437, August.
    4. Yogesh K. Dwivedi & Elvira Ismagilova & Nripendra P. Rana & Ramakrishnan Raman, 2023. "Social Media Adoption, Usage And Impact In Business-To-Business (B2B) Context: A State-Of-The-Art Literature Review," Information Systems Frontiers, Springer, vol. 25(3), pages 971-993, June.
    5. Verma, Deepak & Prakash Dewani, Prem & Behl, Abhishek & Pereira, Vijay & Dwivedi, Yogesh & Del Giudice, Manilo, 2023. "A meta-analysis of antecedents and consequences of eWOM credibility: Investigation of moderating role of culture and platform type," Journal of Business Research, Elsevier, vol. 154(C).
    6. Hautz, Julia & Füller, Johann & Hutter, Katja & Thürridl, Carina, 2014. "Let Users Generate Your Video Ads? The Impact of Video Source and Quality on Consumers' Perceptions and Intended Behaviors," Journal of Interactive Marketing, Elsevier, vol. 28(1), pages 1-15.
    7. Halder, Deepa & Pradhan, Debasis & Roy Chaudhuri, Himadri, 2021. "Forty-five years of celebrity credibility and endorsement literature: Review and learnings," Journal of Business Research, Elsevier, vol. 125(C), pages 397-415.
    8. Lars Bergkvist & Charles R. Taylor, 2016. "Leveraged marketing communications: a framework for explaining the effects of secondary brand associations," AMS Review, Springer;Academy of Marketing Science, vol. 6(3), pages 157-175, December.
    9. Johannes Knoll & Jörg Matthes, 2017. "The effectiveness of celebrity endorsements: a meta-analysis," Journal of the Academy of Marketing Science, Springer, vol. 45(1), pages 55-75, January.
    10. Heribert Gierl & Tina Großmann, 2008. "Imply-Benefit-Attribute im Bereich häufig gekaufter Konsumgüter," Schmalenbach Journal of Business Research, Springer, vol. 60(4), pages 355-384, June.
    11. Thomas, Sunil & Kohli, Chiranjeev S., 2011. "Can brand image move upwards after Sideways? A strategic approach to brand placements," Business Horizons, Elsevier, vol. 54(1), pages 41-49, January.
    12. Robert Zniva & Wolfgang J. Weitzl & Christina Lindmoser, 2023. "Be constantly different! How to manage influencer authenticity," Electronic Commerce Research, Springer, vol. 23(3), pages 1485-1514, September.
    13. Namin Kim & Youri Sung & Moonkyu Lee, 2012. "Consumer Evaluations of Social Alliances: The Effects of Perceived Fit Between Companies and Non-Profit Organizations," Journal of Business Ethics, Springer, vol. 109(2), pages 163-174, August.
    14. Arsena, Ashley & Silvera, David H. & Pandelaere, Mario, 2014. "Brand trait transference: When celebrity endorsers acquire brand personality traits," Journal of Business Research, Elsevier, vol. 67(7), pages 1537-1543.
    15. Belanche, Daniel & Casaló, Luis V. & Flavián, Marta & Ibáñez-Sánchez, Sergio, 2021. "Building influencers' credibility on Instagram: Effects on followers’ attitudes and behavioral responses toward the influencer," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    16. David A. Schweidel & Natasha Zhang Foutz & Robin J. Tanner, 2014. "Synergy or Interference: The Effect of Product Placement on Commercial Break Audience Decline," Marketing Science, INFORMS, vol. 33(6), pages 763-780, November.
    17. Lee, Alice J. & Ames, Daniel R., 2017. "“I can’t pay more” versus “It’s not worth more”: Divergent effects of constraint and disparagement rationales in negotiations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 141(C), pages 16-28.
    18. Choo Yeon Kim & Seong Soo Cha, 2023. "Effect of SNS Characteristics for Dining Out on Customer Satisfaction and Online Word of Mouth," SAGE Open, , vol. 13(3), pages 21582440231, September.
    19. Saravanan Thirumuruganathan & Soon-gyo Jung & Dianne Ramirez Robillos & Joni Salminen & Bernard J. Jansen, 2021. "Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm?," Electronic Commerce Research, Springer, vol. 21(1), pages 73-100, March.
    20. Daniela Andreini & Diego Rinallo & Giuseppe Pedeliento & Mara Bergamaschi, 2017. "Brands and Religion in the Secularized Marketplace and Workplace: Insights from the Case of an Italian Hospital Renamed After a Roman Catholic Pope," Journal of Business Ethics, Springer, vol. 141(3), pages 529-550, March.

    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:spr:infosf:v:25:y:2023:i:1:d:10.1007_s10796-022-10262-9. 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: http://www.springer.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.