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Marketing

Development of an influencer-brand congruence and complementarity measurement framework for recommender systems

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Article: 2364046 | Received 01 Nov 2023, Accepted 22 May 2024, Published online: 04 Jul 2024

References

  • Aaker, J. L. (1997). Dimensions of brand personality. Journal of Marketing Research, 34(3), 347–356. https://doi.org/10.1177/002224379703400304
  • Afoudi, Y., Lazaar, M., & Al Achhab, M. (2021). Hybrid recommendation system combined content-based filtering and collaborative prediction using artificial neural network. Simulation Modelling Practice and Theory, 113, 102375. https://doi.org/10.1016/j.simpat.2021.102375
  • Ang, L., & Dubelaar, C. (2006). Explaining celebrity match-up: Co-activation theory of dominant support. Asia-Pacific Advances in Consumer Research, 7, 378–384. https://www.acrwebsite.org/volumes/ap07/12968.pdf
  • Atashkar, M., & Safi-Esfahani, F. (2020). Item-based recommender systems applying social-economic indicators. SN Computer Science, 1(2), 113. https://doi.org/10.1007/s42979-020-0115-8
  • Austin, J. R., Siguaw, J. A., & Mattila, A. S. (2003). A re-examination of the generalizability of the Aaker brand ­personality measurement framework. Journal of Strategic Marketing, 11(2), 77–92. https://doi.org/10.1080/0965254032000104469
  • Avis, M. (2012). Brand personality factor based models: A critical review. Australasian Marketing Journal, 20(1), 89–96. https://doi.org/10.1016/j.ausmj.2011.08.003
  • Azoulay, A., & Kapferer, J.-N. (2003). Do brand personality scales really measure brand personality? Journal of Brand Management, 11(2), 143–155. https://doi.org/10.1057/palgrave.bm.2540162
  • Bag, S., Kumar, S. K., & Tiwari, M. K. (2019). An efficient recommendation generation using relevant Jaccard similarity. Information Sciences, 483, 53–64. https://doi.org/10.1016/j.ins.2019.01.023
  • Bai, X., Wang, M., Lee, I., Yang, Z., Kong, X., & Xia, F. (2019). Scientific paper recommendation: A survey. IEEE Access, 7, 9324–9339. https://doi.org/10.1109/ACCESS.2018.2890388
  • Balabanis, G., & Chatzopoulou, E. (2019). Under the influence of a blogger: The role of information-seeking goals and issue involvement. Psychology & Marketing, 36(4), 342–353. https://doi.org/10.1002/mar.21182
  • Behera, G., & Nain, N. (2023). Collaborative filtering with temporal features for movie recommendation system. Procedia Computer Science, 218, 1366–1373. https://doi.org/10.1016/j.procs.2023.01.115
  • Bèzes, C., & Mercanti-Guérin, M. (2016). Similarity in marketing: Scope, measurement, and fields of application. Recherche et Applications en Marketing, 32(1), 83–105. https://doi.org/10.1177/2051570716676258
  • Bosnjak, M., Bochmann, V., & Hufschmidt, T. (2007). Dimensions of brand personality attributions: A person-centric APROACH in the German cultural context. Social Behavior and Personality: An International Journal, 35(3), 303–316. https://doi.org/10.2224/sbp.2007.35.3.303
  • Brock, T. (1965). Communicator-recipient similarity and decision change. Journal of Personality and Social Psychology, 1(6), 650–654. https://doi.org/10.1037/h0022081
  • De Biasio, A., Navarin, N., & Jannach, D. (2023). Economic recommender systems – A systematic review. Electronic Commerce Research and Applications, 63, 101352. https://doi.org/10.1016/j.elerap.2023.101352
  • Dictionary.com (2022). The world’s favorite online thesaurus! Thesaurus.com. Retrieved March 9, 2022, from https://www.thesaurus.com/
  • Du, Y., Rui, J., & Yu, N. (2023). How parasocial relationship and influencer-product congruence shape audience’s attitude towards product placement in online videos: The mediation role of reactance. Psychology Research and Behavior Management, 16, 1315–1329. volume https://doi.org/10.2147/prbm.s406558
  • Fleck, N., Korchia, M., & Le Roy, I. (2012). Celebrities in advertising: Looking for congruence or likability? Psychology & Marketing, 29(9), 651–662. https://doi.org/10.1002/mar.20551
  • Fuller, R. B., & Snyder, J. (2010). Ideas and integrities: A spontaneous autobiographical disclosure. Lars Müller Publishers.
  • Geyser, W. (2022). Top influencer marketing platforms to boost your campaigns. Influencer Marketing Hub. Retrieved March 2, 2023, from https://influencermarketinghub.com/top-influencer-marketing-platforms/
  • Geyser, W. (2023). The state of influencer marketing 2022: Benchmark report. Influencer Marketing Hub. Retrieved February 9, 2023, from https://influencermarketinghub.com/influencer-marketing-benchmark-report-2022/
  • Ghasemi, N., & Momtazi, S. (2021). Neural text similarity of user reviews for improving collaborative filtering recommender systems. Electronic Commerce Research and Applications, 45, 101019. https://doi.org/10.1016/j.elerap.2020.101019
  • Giles, D. (2002). Parasocial interaction: A review of the literature and a model for future research. Media Psychology, 4(3), 279–305. https://doi.org/10.1207/S1532785XMEP0403_04
  • Gong, W., & Li, X. (2017). Engaging fans on microblog: The synthetic influence of parasocial interaction and source characteristics on celebrity endorsement. Psychology & Marketing, 34(7), 720–732. https://doi.org/10.1002/mar.21018
  • Gräve, J. (2019). What kpis are key? Evaluating performance metrics for social media influencers. Social Media + Society, 5(3), 205630511986547. https://doi.org/10.1177/2056305119865475
  • Han, H.-E., Cui, G.-Q., & Jin, C.-H. (2021). The role of human brands in consumer attitude formation: Anthropomorphized messages and brand authenticity. Cogent Business & Management, 8(1), 1923355. https://doi.org/10.1080/23311975.2021.1923355
  • Horton, D., & Wohl, R. R. (1956). Mass communication and para-social interaction. Psychiatry, 19(3), 215–229. https://doi.org/10.1080/00332747.1956.11023049
  • Hovland, C. I., & Weiss, W. (1951). The influence of source credibility on communication effectiveness. Public Opinion Quarterly, 15(4), 635. https://doi.org/10.1086/266350
  • Hovland, C. I., Lumsdaine, A. A., & Sheffield, F. D. (1949). Short-time and long-time effects of an orientation film. Experiments on Mass Communication, 3, 182–200. https://doi.org/10.1037/14519-007
  • Jones, S., Cronin, J., & Piacentini, M. G. (2022). Celebrity brand break-up: Fan experiences of para-loveshock. Journal of Business Research, 145, 720–731. https://doi.org/10.1016/j.jbusres.2022.03.039
  • Jun, M., Han, J., Zhou, Z., & Eisingerich, A. B. (2023). When is celebrity endorsement effective? Exploring the role of celebrity endorsers in Enhancing Key Brand Associations. Journal of Business Research, 164, 113951. https://doi.org/10.1016/j.jbusres.2023.113951
  • Kahle, L. R., & Homer, P. M. (1985). Physical attractiveness of the celebrity endorser: A social adaptation perspective. Journal of Consumer Research, 11(4), 954. https://doi.org/10.1086/209029
  • Kamins, M. A. (1990). An investigation into the “match-up” hypothesis in celebrity advertising: When beauty may be only skin deep. Journal of Advertising, 19(1), 4–13. https://doi.org/10.1080/00913367.1990.10673175
  • Kotu, V., & Deshpande, B. (2018). Data science: concepts and practice. Morgan Kaufmann.
  • Ladhari, R., Massa, E., & Skandrani, H. (2020). YouTube vloggers’ popularity and influence: The roles of homophily, emotional attachment, and expertise. Journal of Retailing and Consumer Services, 54, 102027. https://doi.org/10.1016/j.jretconser.2019.102027
  • Lazarsfeld, P., & Merton, R. K. (1954). Friendship as a social process: A substantive and methodological analysis. In M. Berger, T. Abel, & H. Charles (Eds.), Freedom and control in modern society. Van Nostrand.
  • Lee, J.-S., Chang, H., & Zhang, L. (2022). An integrated model of congruence and credibility in celebrity endorsement. International Journal of Advertising, 41(7), 1358–1381. https://doi.org/10.1080/02650487.2021.2020563
  • Levine, J., & Valle, R. (1975). The convert as a credible communicator. Social Behavior and Personality: An International Journal, 3(1), 81–90. https://doi.org/10.2224/sbp.1975.3.1.81
  • Lim, X., Radzol, A., Cheah, J., & Wong, M. (2017). The impact of social media influencers on purchase intention and the mediation effect of customer attitude. Asian Journal of Business Research, 7(2), 19-36. https://doi.org/10.14707/ajbr.170035
  • Liu, M., Pan, W., Liu, M., Chen, Y., Peng, X., & Ming, Z. (2017). Mixed similarity learning for recommendation with implicit feedback. Knowledge-Based Systems, 119, 178–185. https://doi.org/10.1016/j.knosys.2016.12.010
  • Mauligita, S., & Windasari, N. (2021). Brand strategies development through sales promotion and endorsement of small and medium enterprises (SME) in West Java, Indonesia. Research, Society and Development, 10(8), e13410817143. https://doi.org/10.33448/rsd-v10i8.17143
  • McCracken, G. (1989). Who is the celebrity endorser? Cultural foundations of the endorsement process. Journal of Consumer Research, 16(3), 310. https://doi.org/10.1086/209217
  • McCroskey, J., Hamilton, P., & Weiner, A. (1974). The effect of interaction behavior on source credibility, homophily, and interpersonal attraction. Human Communication Research, 1(1), 42–52. https://doi.org/10.1111/j.1468-2958.1974.tb00252.x
  • McGuire, W. J. (1989). The structure of individual attitudes and attitude systems. In A. R. Pratkanis, S. J. Breckler, & A. G. Greenwald (Eds.), Attitude Structure and Function (pp. 37–69). Lawrence Erlbaum Associates, Inc.
  • Newberry, C. (2022). Everything you should know about facebook’s brand collabs manager. Social Media Marketing & Management Dashboard. Retrieved March 2, 2023, from https://blog.hootsuite.com/brand-collabs-manager/
  • Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers’ perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39–52. https://doi.org/10.1080/00913367.1990.10673191
  • Panda, S. K., Bhoi, S. K., & Singh, M. (2020). A collaborative filtering recommendation algorithm based on normalization approach. Journal of Ambient Intelligence and Humanized Computing, 11(11), 4643–4665. https://doi.org/10.1007/s12652-020-01711-x
  • Pawlicka, A., Pawlicki, M., Kozik, R., & Choraś, R. (2021). A systematic review of recommender systems and their applications in cybersecurity. Sensors, 21(15), 5248. https://doi.org/10.3390/s21155248
  • Pornpitakpan, C. (2004). The persuasiveness of source credibility: A critical review of five decades’ evidence. Journal of Applied Social Psychology, 34(2), 243–281. https://doi.org/10.1111/j.1559-1816.2004.tb02547.x
  • Qureshi, M., & Malik, H. (2017). The impact of celebrity endorsement on consumer buying behavior. Advances in Social Sciences Research Journal, 4(3), 149-170. https://doi.org/10.14738/assrj.43.2605
  • Santora, J. (2023). Key influencer marketing statistics to drive your strategy in 2023. Influencer Marketing Hub. Retrieved March 2, 2023, from https://influencermarketinghub.com/influencer-marketing-statistics/
  • Scott-Green, H. (2020, June 16). Introducing YouTube BrandConnect, a platform for creators and brands to collaborate. blog.youtube. Retrieved March 2, 2023, from https://blog.youtube/news-and-events/introducing-youtube-brandconnect-platform-creators-and-brands-collaborate
  • Schimmelpfennig, C., & Hunt, J. B. (2019). Fifty years of celebrity endorser research: Support for a comprehensive celebrity endorsement strategy framework. Psychology & Marketing, 37(3), 488–505. https://doi.org/10.1002/mar.21315
  • Schouten, A. P., Janssen, L., & Verspaget, M. (2019). Celebrity vs. influencer endorsements in advertising: The role of identification, credibility, and product-endorser fit. International Journal of Advertising, 39(2), 258–281. https://doi.org/10.1080/02650487.2019.1634898
  • Silaban, P. H., Silalahi, A. D., Octoyuda, E., Sitanggang, Y. K., Hutabarat, L., & Sitorus, A. I. (2022). Understanding hedonic and utilitarian responses to product reviews on YouTube and purchase intention. Cogent Business & Management, 9(1), 2062910. https://doi.org/10.1080/23311975.2022.2062910
  • Similarweb (2023). Website traffic – Check and analyze any website | Similarweb. Retrieved July 25, 2023, from https://www.similarweb.com/
  • Socialblade (2023). YouTube, Twitch, Twitter, & Instagram statistics – socialblade.com. Retrieved March 13, 2023, from https://socialblade.com/youtube/
  • Sokolova, K., & Kefi, H. (2020). Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. Journal of Retailing and Consumer Services, 53, 101742. https://doi.org/10.1016/j.jretconser.2019.01.011
  • Son, J., & Kim, S. B. (2017). Content-based filtering for recommendation systems using multiattribute networks. Expert Systems with Applications, 89, 404–412. https://doi.org/10.1016/j.eswa.2017.08.008
  • Stipp, D. (1988). Patrick Gunkel is an idea man who thinks in lists. Ideonomy. Retrieved January 26, 2023, from http://ideonomy.mit.edu/gunkel.html
  • Šulc, Z., & Řezanková, H. (2019). Comparison of similarity measures for categorical data in hierarchical clustering. Journal of Classification, 36(1), 58–72. https://doi.org/10.1007/s00357-019-09317-5
  • ThoughtLeaders (2023). Stats and analytics. Thoughtleaders.io. Retrieved March 14, 2023, from https://app.thoughtleaders.io/brands
  • Törn, F. (2012). Revisiting the match-up hypothesis: Effects of brand-incongruent celebrity endorsements. Journal of Current Issues & Research in Advertising, 33(1), 20–36. https://doi.org/10.1080/10641734.2012.675557
  • Torres, P., Augusto, M., & Matos, M. (2019). Antecedents and outcomes of digital influencer endorsement: An exploratory study. Psychology & Marketing, 36(12), 1267–1276. https://doi.org/10.1002/mar.21274
  • Valentine, L., D’Alfonso, S., & Lederman, R. (2022). Recommender systems for mental health apps: Advantages and ethical challenges. AI & Society, 38(4), 1–12. https://doi.org/10.1007/s00146-021-01322-w
  • Walek, B., & Fajmon, P. (2023). A hybrid recommender system for an online store using a fuzzy expert system. Expert Systems with Applications, 212, 118565. https://doi.org/10.1016/j.eswa.2022.118565
  • Zhang, K., Zhang, M., & Li, C. (2021). Effects of celebrity characteristics, perceived homophily, and reverence on consumer-celebrity para-social interaction and brand attitude. Frontiers in Psychology, 12, 711454. https://doi.org/10.3389/fpsyg.2021.711454
  • Zhou, C., Leng, M., Liu, Z., Cui, X., & Yu, J. (2022). The impact of recommender systems and pricing strategies on brand competition and consumer search. Electronic Commerce Research and Applications, 53, 101144. https://doi.org/10.1016/j.elerap.2022.101144