Determinants of Source Credibility in Terms of Herd Behaviour and the Anchoring Effect: The Case of Instagram Influencers
Pages: 40–55
Received: 1 May 2024
Revised: 20 August 2024
Accepted: 5 September 2024
Abstract
Keywords: anchoring effect; behavioural economics; experimental design; herding behaviour; influencer marketing; source credibility.
How to Cite: Ozdemir, S., & Pirtini, S. (2024). Determinants of Source Credibility in Terms of Herd Behaviour and the Anchoring Effect: The Case of Instagram Influencers. Marketing and Management of Innovations, 15(3), 40–55. https://doi.org/10.21272/mmi.2024.3-04
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References
- Ali, M., & Amir, H. (2024). Understanding consumer herding behaviour in online purchases and its implications for online retailers and marketers. Electronic Commerce Research and Applications, 64, 101356. [Google Scholar] [CrossRef]
- Ali, M., Amir, H., & Shamsi, A. (2021). Consumer Herding Behaviour in Online Buying: A Literature Review. International Review of Management and Business Research, 10(1), 345-360. [Google Scholar] [CrossRef]
- Antheunis, M. L., & Schouten, A. P. (2011). The Effects of Other-Generated and System-Generated Cues on Adolescents’ Perceived Attractiveness on Social Network Sites. Journal of Computer-Mediated Communication, 16(3), 391-406. [Google Scholar] [CrossRef]
- Bagozzi, R. P. (1994). Principles of Marketing Research. New York: Blackwell.
- Begho, T., & Liu, S. (2024). Does social proof and herd behaviour drive food choices of consumers?. British Food Journal, 126(3), 1050-1064. [Google Scholar] [CrossRef]
- Boerman, S. C. (2020). The Effects of the Standardized Instagram Disclosure for Micro- and Meso-Influencers. Computers in Human Behaviour, 103, 199-207. [Google Scholar] [CrossRef]
- Brown, D., & Hayes, N. (2008). Influencer Marketing: Who truly İnfluences Your Customers? Oxford, United Kingdom: Routledge. [CrossRef]
- Bukowski, W. M., & Hoza, B. (1989). Popularity and friendship: Issues in theory, measurement, and outcome, In T. J. Berndt & G. W. Ladd (Eds.), Peer relationships in child development (pp. 15–45). John Wiley & Sons. [Google Scholar]
- Camerer, C., & Loewenstein, G. (2004). Behavioural Economics: Past, Present, Future. Advances in Behavioural Economics, 3-51. [Google Scholar]
- Campbell, C., & Farrell, J. R. (2020). More than Meets the Eye: The Functional Components Underlying Influencer Marketing. Business Horizons, 63(4), 469-479. [Google Scholar] [CrossRef]
- Campbell, D. T., & Stanley, J. C. (1966). Experimental and quasiexperimental designs for research. Chicago: IL: Rand-McNally. [Google Scholar]
- Chen, P. Y., Wu, S. Y., & Yoon, J. (2004). The Impact of Online Recommendation and Consumer Feedback on Sales. Proceeding of the International Conference on Information Systems, 711-724. [Google Scholar]
- Chung, K. Y., Derdenger, T. P., & Srinivasan, K. (2013). Economic Value of Celebrity Endorsements: Tiger Woods’ Impact on Sales of Nike Golf Balls. Marketing Science, 32(2), 271-293. [Google Scholar] [CrossRef]
- Coker, K. K., Smith, D. S., & Altobello, S. A. (2015). Buzzing with Disclosure of Social Shopping Rewards. Journal of Research in Interactive Marketing, 9(3). [Google Scholar] [CrossRef]
- Cook, T. D., & Campbell, D. T. (2007). Experimental and quasiexperimental designs for generalized causal inference. Figures. [Google Scholar]
- Cox, A. R. (2020). “Thanks for the Free Products! #ad”: The Effects of the Number of Followers and Sponsorship Disclosures on the Credibility of Instagram Influencers. Pepperdine University Faculty of the Communication Division. [Link]
- De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing Through Instagram Influencers: The Impact of Number of Followers and Product Divergence on Brand Attitude. International Journal of Advertising, 36(5), 798-828. [Google Scholar] [CrossRef]
- De Vries, E. L. (2019). When More Likes is not Better: The Consequences of High and Low Likes-to-Followers Ratios for Perceived Account Credibility and Social Media Marketing Effectiveness. Marketing Letters, 30(3), 275–291. [Google Scholar] [CrossRef]
- Djafarova, E., & Trofimenko, O. (2019). ‘Instafamous’–Credibility and Self-Presentation of Micro-Celebrities on Social Media. Information, Communication & Society, 22(10), 1432-1446. [Google Scholar] [CrossRef]
- Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., . . . Wang, Y. (2021). Setting the Future of Digital and Social Media Marketing Research: Perspectives and Research Propositions. International Journal of Information Management, 59, 102168. [Google Scholar] [CrossRef]
- Erdogan, B. Z., & Baker, M. J. (2000). Towards a Practitioner-Based Model of Selecting Celebrity Endorsers. International Journal of Advertising, 19(1), 25-42. [Google Scholar] [CrossRef]
- Erdogan, H., & Özcan, B. M. (2020). Influencer Pazarlaması Kullanımının Tüketicilerin Satın Alma Niyetine Etkisi: Instagram Influencerları Üzerine Bir Araştırma. İşletme Araştırmaları Dergisi, 12(4), 3813-3827. [Google Scholar] [CrossRef]
- Feldman, S. (2019). Instagram Is a Favourite for Influencer Marketing. [Link]
- Gupta, P., & Goyal, P. (2024). Herding the influencers for investment decisions: millennials bust the gender stereotype. Journal of Financial Services Marketing, 29(2), 229-241. [Google Scholar] [CrossRef]
- Hammond, J. S., Keeney, R. L., & Raiffa, H. (1998). The Hidden Traps in Decision Making. Harvard Business Review, 76(5), 47-58. [Google Scholar]
- Häubl, G., & Trifts, V. (2000). Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids. Marketing Science, 19(1), 4-21. [Google Scholar] [CrossRef]
- Hayta, A. B. (2014). Bireysel Yatırımcıların Finansal Risk Algısına Etki Eden Psikolojik Önyargılar. Türkiye Sosyal Araştırmalar Dergisi, 183(183), 329-352. [Google Scholar]
- Hill, S. R., Troshani, I., & Chandrasekar, D. (2020). Signalling Effects of Vlogger Popularity on Online Consumers. Journal of Computer Information Systems, 60(1), 76-84. [Google Scholar] [CrossRef]
- Hostler, R. E., Yoon, Y. V., & Guimaraes, T. (2005). Assessing The Impact of internet Agent on End Users’ Performance. Decision Support Systems, 41(1), 313-323. [Google Scholar] [CrossRef]
- Ismagilova, E., Slade, E., Rana, N. P., & Dwivedi, Y. K. (2020). The Effect of Characteristics of Source Credibility on Consumer Behaviour: A Meta- Analysis. Journal of Retailing and Consumer Services, 53, 101736, 1-10. [Google Scholar] [CrossRef]
- Janssen, L., Schouten, A. P., & Croes, E. A. (2022). Influencer Advertising on Instagram: Product-Influencer Fit and Number of Followers Affect Advertising Outcomes and Influencer Evaluations via Credibility and Identification. International Journal of Advertising, 41(1), 101-127. [Google Scholar] [CrossRef]
- Jin, S. V., Muqaddam, A., & Ryu, E. (2019). Instafamous and Social Media Influencer Marketing. Marketing Intelligence & Planning, 37(5), 567-579. [Google Scholar] [CrossRef]
- Jin, S.-A. A., & Phua, J. (2014). Following Celebrities’ Tweets About Brands: The Impact of Twitter-Based Electronic Word-of-Mouth on Consumers’ Source Credibility Perception, Buying Intention, and Social Identification With Celebrities. Journal of Advertising, 43(2), 181-195. [Google Scholar] [CrossRef]
- Just, D. (2014). Introduction to Behavioural Economics. John Wiley & Sons, Inc. [Link]
- Keppel, G., & Wickens, T. D. (2004). Design and analysis: A researcher’s Handbook. New Jersey: Pearson. [Google Scholar]
- Kozinets, R. V. (2002). The Field Behind the Screen: Using Netnography for Marketing Research in Online Communities. Journal of Marketing Research, 39(1), 61-72. [Google Scholar] [CrossRef]
- Kumar, V., Leone, R. P., Aaker, D. A., & Day, G. S. (2018). Marketing Research. Hoboken: Wiley. [Google Scholar]
- 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. [Google Scholar] [CrossRef]
- Langner, S., Hennigs, N., & Wiedmann, K. P. (2013). Social Persuasion: Targeting Social Identities Through Social Influencers. Journal of Consumer Marketing, 30(1), 31-49. [Google Scholar] [CrossRef]
- Lee, J. Y., & Sundar, S. (2013). To Tweet or to Retweet? That Is the Question for Health Professionals on Twitter. Health Communication, 28(5), 509-524. [Google Scholar] [CrossRef]
- Louie, T. A., & Obermiller, C. (2002). Consumer Response to A Firm’s Endorser (Dis) association Decisions. Journal of Advertising, 31(4), 41-52. [Google Scholar] [CrossRef]
- Louie, T. A., Kulik, R. L., & Jacobson, R. (2001). When Bad Things Happen to the Endorsers of Good Products. Marketing Letters, 12, 13-23. [Google Scholar] [CrossRef]
- Malhotra, N. K. (2020). Marketing Research: An Applied Orientation. Harlow: Pearson. [CrossRef]
- Marques, I. R., Casais, B., & Camilleri, M. A. (2021). The Effect of Macro Celebrity and Micro Influencer Endorsements on Consumer–Brand Engagement in Instagram. Strategic Corporate Communication in the Digital Age, Emerald Publishing Limited, pp. 131-143. [Google Scholar] [CrossRef]
- Metzger, M. J., Flanagin, A. J., & Medders, R. B. (2010). Social and Heuristic Approaches to Credibility Evaluation Online. Journal of Communication, 60(3), 413-439. [Google Scholar] [CrossRef]
- Ohanian, R. (1990). Construction and Validation of a Scale Measure Celebrity Endorsers’ Perceived Expertise, Trustworthiness, and Attractiveness. Journal of Advertising, 19(3), 39-52. [Google Scholar] [CrossRef]
- Park, H. J., & Lin, L. M. (2020). The Effects of Match-Ups on the Consumer Attitudes toward İnternet Celebrities and Their Live Streaming Contents in the Context of Product Endorsement. Journal of Retailing and Consumer Services, 52, 101934. [Google Scholar][CrossRef]
- Parkhurst, J. T., & Hopmeyer, A. (1998). Sociometric Popularity and Peer-Perceived Popularity: Two Distinct Dimensions of Peer Status. The Journal of Early Adolescence, 18(2), 125-144. [Google Scholar] [CrossRef]
- Pathak, B., Garfinkel, R., Gopal, R. D., Venkatesan, R., & Yin, F. (2010). Empirical Analysis of The Impact of Recommender Systems on Sales. Journal of Management Information Systems, 27(2), 159-188. [Google Scholar] [CrossRef]
- Pituch, K. A., & Stevens, J. P. (2016). Applied Multivariate Statistics for the Social Sciences: Analyses with SAS and IBM‘s SPSS. New York: Routlege. [Google Scholar]
- Pozharliev, R., Rossi, D., & De Angelis, M. (2022). Consumers’ Self-Reported and Brain Responses to Advertising Post on Instagram: The Effect of Number of Followers and Argument Quality. European Journal of Marketing, 56(3), 922-948. [Google Scholar] [CrossRef]
- Reis, H. T., & Judd, C. M. (2000). Handbook of Research Methods in Social and Personality Psychology. Cambridge, UK: Cambridge University Press. [Google Scholar]
- Scott, G. G. (2014). More Than Friends: Popularity on Facebook and its Role in Impression Formation. Journal of Computer-Mediated Communication, 19(3), 358-372. [Google Scholar] [CrossRef]
- Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant. Psychological Science, 22(11), 1359–1366. [Google Scholar] [CrossRef]
- Sundar, S. S. (2008). The MAIN Model: A Heuristic Approach to Understanding Technology Effects on Credibility. Cambridge: MA: MacArthur Foundation Digital Media and Learning Initiative. [Google Scholar]
- Tabachnick, B., & Fidell, L. S. (2015). Using Multivariate Statistics (6th ed.). New York: Pearson Longman. [Link]
- Tong, S. T., Van Der Heide, B., Langwell, L., & Walther, J. B. (2008). Too Much of a Good Thing? The Relationship Between Number of Friends and Interpersonal Impressions on Facebook. Journal of Computer-Mediated Communication, 13(3), 531-549. [Google Scholar][CrossRef]
- Torres, P., Augusto, M., & Matos, M. (2019). Antecedents and Outcomes of Digital Influencer Endorsement: An Exploratory Study. Psychology & Marketing, 36(12), 1267-1276. [Google Scholar] [CrossRef]
- Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty. science, 185(4157), 1124-1131. [Google Scholar] [CrossRef]
- Utz, S. (2010). Show Me Your Friends and I Will Tell You What Type of Person You Are: How One’s Profile, Number of Friends, and Type of Friends Influence Impression Formation on Social Network Sites. Journal of Computer-Mediated Communication, 15(2), 314-335. [Google Scholar] [CrossRef]
- Van Der Heide, B., & Lim, Y. S. (2016). On the Conditional Cueing of Credibility Heuristics: The Case of Online Influence. Communication Research, 43(5) 672–693. [Google Scholar] [CrossRef]
- Viglia, G., & Dolnicar, S. (2020). A Review of Experiments in Tourism and Hospitality. Annals of Tourism Research, 80, 102858. [Google Scholar] [CrossRef]
- We Are Social. (2022). Digital 2022: Another Year of Bumper Growth. [Link]
- Weismueller, J., Harrigan, P., Wang, S., & Soutar, G. N. (2020). Influencer Endorsements: How Advertising Disclosure and Source Credibility Affect Consumer Purchase Intention on Social Media. Australasian Marketing Journal, 28(4), 160-170. [Google Scholar] [CrossRef]
- White, D. W., Goddard, L., & Wilbur, N. (2009). The Effects of Negative Information Transference in the Celebrity Endorsement Relationship. International Journal of Retail & Distribution Management, 37(4), 322–335. [Google Scholar] [CrossRef]
- Wiedmann, K. P., & Von Mettenheim, W. (2020). Attractiveness, Trustworthiness and Expertise–Social Influencers’ Winning Formula? Journal of Product & Brand Management, 30(5), 707-725. [Google Scholar] [CrossRef]
- Wilkinson, N., & Klaes, M. (2018). An Introduction to Behavioural Economics. London: Palgrave. [Google Scholar]
- Yuan, S., & Lou, C. (2020). How Social Media Influencers Foster Relationships with Followers: The Roles of Source Credibility and Fairness in Parasocial Relationship and Product Interest. Journal of Interactive Advertising, 20(2), 133–147. [Google Scholar] [CrossRef]
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