BibTex RIS Kaynak Göster

Online Satın Alma Sürecinde Sürü Davranışının Kaynak Güvenilirliğine Etkisi Üzerine Kavramsal Bir Çalışma

Yıl 2022, Sayı: 10, 29 - 50, 31.12.2022

Öz

İletişim sürecinde mesaj veren kaynağın, mesajı alanlar tarafından ne derece güvenilir ve ikna edici olduğunu açıklayan kaynak güvenilirliği teorisi, pazarlama alanında sıklıkla kullanılmaktadır. İşletmeler tanıtım ve tutundurma faaliyetlerinde tanınmış kişi veya ünlüler ile anlaşmalar yaparak bu kişileri güvenilir kaynaklar olarak kullanmaktadır. Özellikle teknolojinin gelişmesiyle daha çok kullanılan online platformlarda mal ve hizmetler hakkında güvenilir bir kaynaktan gelen mesajlar belirsizliği azaltıcı bir faktör olarak tüketicilerin karar verme süreçlerinde önemli bir rol üstlenebilmektedir. Teknolojide yaşanan bu değişmelere karşın, tüketicilerin karar verme süreçlerinde diğer insanlardan etkilenme eğilimi değişmemiştir. Karar verme aşamasında belirsizlik veya riski azaltmak gibi motivasyonlarla diğer insanların kararlarından etkilenme durumu ise sürü davranışı olarak tanımlanmaktadır. Bu çalışmanın amacı, online satın alma sürecinde sürü davranışının kaynak güvenilirliğine etkisini kavramsal olarak ele almaktır. Bu bağlamda çalışma, online satın alma sürecinde kaynak güvenilirliğini açıklamakta, sonrasında sürü davranışı kavramını pazarlama perspektifinden incelemektedir. Bununla birlikte çalışmada online satın alma sürecinde sürü davranışının kaynak güvenilirliğine etkisini ölçen çalışmalara dair literatür incelenmesine yer verilmiştir.

Kaynakça

  • Ali, M., Amir, H., & Shamsi, A. 2021 . Consumer Herding Behavior in Online Buying: A Literature Review. International Review of Management and Business Research, 10 1 , 345-360, DOI: 10.30543/10-1 2021 -30.
  • 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.
  • Asch, S. E. 1956 . Studies of independence and conformity: A majority of one against a unanimous majority. Psychological Monographs, 70–79.
  • Bikhchandani, S., Hirshleifer, D., & Welch, I. 1992 . A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades. Journal of Political Economy, 100 5 , 992-1026.
  • Bikhchandani, S., Hirshleifer, D., & Welch, I. 1998 . Learning from the Behavior of Others: Conformity, Fads, and Informational Cascades. Journal of Economic Perspectives, 12 3 , 151– 170. https://doi.org/10.1257/jep.12.3.151.
  • Boerman, S. C. 2020 . The Effects of the Standardized Instagram Disclosure for Micro- and Meso- Influencers. https://doi.org/10.1016/j.chb.2019.09.015. in Human Behavior, 103, 199-207
  • Burtch, G., Hong, Y., Bapna, R., & Griskevicius, V. 2017 . Stimulating Online Reviews by Combining Financial Incentives and Social Norms. Management Science, 64 5 ,1-18. https://doi.org/10.1287/mnsc.2016.2715.
  • Chen, Y. F. 2008 . Herd Behavior in Purchasing Books Online. Computers in Human Behavior, 24 5 , 1977–1992. https://doi.org/10.1016/j.chb.2007.08.004
  • Chen, P., Wu, S., & Yoon, J. 2004 . The Impact of Online Recommendation and Consumer Feedback on Sales. Proceeding of the International Conference on Information Systems, s. 711–724 .
  • Cheung, C. M. K., Xiao, B., & Liu, I. L. B. 2012 . The Impact of Observational Learning and Electronic Word of Mouth on Consumer Purchase Decisions: The Moderating Role of Consumer Expertise and Consumer Involvement. Proceedings of the Annual Hawaii International Conference on System Sciences, 3228–3237. https://doi.org/10.1109/HICSS.2012.570.
  • Childers, C. C., Lemon, L. L., & Hoy, M. G. 2019 . # Sponsored# Ad: Agency Perspective on Influencer Marketing Campaigns. Journal of Current Issues & Research in Advertising, 40 3 , 258-274.
  • Choi, H. S., Oh, W., Kwak, C., Lee, J., & Lee, H. 2022 . Effects of Online Crowds on Self-Disclosure Behaviors in Online Reviews: A Multidimensional Examination. Journal of Management Information Systems, 39 1 , 218-246.
  • 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.
  • Cypryjański, J., & Grzesiuk, A. 2015 . The Role of Signals in Online Auction Purchase Decisions. Folia Oeconomica Stetinensia, 15 1 , 53–68. https://doi.org/10.1515/foli-2015-0019.
  • Çelen, B., & Kariv, S. 2004 . Distinguishing Informational Cascades from Herd Behavior in the Laboratory. https://doi.org/10.1257/0002828041464461. Economic Review, 94 3 , 484–498.
  • Das, G., Mukherjee, A., & Smith, R. J. 2018 . The Perfect Fit : The Moderating Role of Selling Cues on Hedonic and Utilitarian Product Types. Journal of Retailing, 1–14. https://doi.org/10.1016/j.jretai.2017.12.002.
  • 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 10.1080/02650487.2017.1348035. of Advertising, 36 5 , 798-828, DOI
  • 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, https://doi.org/10.1007/s11002-019- 09496-6.
  • Deutsch, M., & Gerard, H. B. 1955 . A Study of Normative and Informational Social Influences upon Individual Judgment. The Journal of Abnormal and Social Psychology, 51 3 , 629-636.
  • Ding, A. V., & Li, S. 2019 . Herding in the Consumption and Purchase of Digital Goods and Moderators of the Herding Bias. Journal of the Academy of Marketing Science, 47 3 , 460- 478, https://doi.org/10.1007/s11747-018-0619-0.
  • Eisend, M. 2004 . Is It Still Worth to Be Credible? AMeta-Analysis of Temporal Patterns of Source Credibility Effects in Marketing. Advances in Consumer Research, 31, 352–357.
  • Erdoğan, B. Z. 1999 . Celebrity Endorsement: A Literature Review. Journal of Marketing Management, 15 4 , 291-314.
  • Forsythe, S., & Shi, B. 2003 . Consumer Patronage and Risk Perceptions in Internet Shopping. Journal of Business Research, 56 11 , 867–875.
  • Gellerstedt, M., & Arvemo, T. 2019 . The Impact of Word of Mouth when Booking a Hotel: Could a Good Friend’s Opinion Outweigh the Online Majority?. Information Technology & Tourism, 21 3 , 289-311.
  • Gimpel, H., Heger, S., Olenberger, C., & Utz, L. 2021 . The Effectiveness of Social Norms in Fighting Fake News on Social Media. Journal of Management Information Systems, 38 1 , 196-221.
  • Griskevicius, V., Goldstein, N. J., Mortensen, C. R., Sundie, J. M., Cialdini, R. B., & Kenrick, D. T. 2009 . Fear and loving in Las Vegas: Evolution, Emotion, and Persuasion. Journal of Marketing Research, 46 3 , 384-395.
  • Häubl, G., & Trifts, V. 2000 . Consumer Decision Making in Online Shopping Environments: The Effects https://doi.org/10.1287/mksc.19.1.4.15178. Decision Aids. Marketing Science, 19 1 , 4-21
  • He, Y., & Oppewal, H. 2018 . See how much we’ve sold already Effects of displaying sales and stock level information on consumers’ online product choices. Journal of Retailing, 94 1 , 45-57.
  • Huang, J. H., & Chen, Y. F. 2006 . Herding in Online Product Choice. Psychology & Marketing, 23 5
  • 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, https://doi.org/10.1080/02650487.2021.1994205.
  • 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, DOI: 10.1080/00913367.2013.827606.
  • Kim, M. J., Lee, C. K., & Jung, T. 2020 . Exploring Consumer Behavior in Virtual Reality Tourism Using an Extended Stimulus-Organism-Response Model. Journal of Travel Research, 59 1 , 69–89. https://doi.org/10.1177/0047287518818915.
  • Küçükusta, D., Law, R., Besbes, A., & Legohérel, P. 2015 . Re-examining perceived usefulness and ease of use in online booking: The case of Hong Kong online users. International Journal of Contemporary Hospitality Management, 27 2 , 185-198.
  • Kwon, J. M., Bae, J. I., & Phelan, K. 2011 . Online Consumer Herding Behaviors in the Hotel Industry.
  • Langley, D. J., Hoeve, M. C., Ortt, J. R., Pals, N., & Vecht, B. Van Der. 2014 . ScienceDirect Patterns of Herding and their Occurrence in an Online Setting. Journal of Interactive Marketing, 28 1 , 16–25. https://doi.org/10.1016/j.intmar.2013.06.005.
  • Latané, B. 1981 . The Psychology of Social Impact. American Psychologist, 36 4 , 343–356. https://doi.org/10.1037/0003-066X.36.4.343.
  • Latane, B., & Wolf, S. 1981 . The Social Impact of Majorities and Minorities. In Psychological Review, 88 5 , 438-453, https://doi.org/10.1037/0033-295X.88.5.438.
  • Lee, K., Lee, B., & Oh, W. 2015 . Thumbs Up, Sales Up? The Contingent Effect of Facebook Likes on Sales Performance in Social Commerce. Journal of Management Information Systems, 32 4 , 109–143. https://doi.org/10.1080/07421222.2015.1138372.
  • Lee, J. Y., & Sundar, S. 2013 . To Tweet or to Retweet? That Is the Question for Health Professionals DOI:10.1080/10410236.2012.700391. Twitter. Health
  • Communication, 28 5 , 509-524
  • Leibenstein, H. 1950 . Bandwagon, Snob, and Veblen Effects in the Theory of Consumers' Demand. https://doi.org/10.2307/1882692. Quarterly Journal of Economics, 64 2 , 183-207
  • Li, H., Meng, F., Jeong, M., & Zhang, Z. 2020 . To Follow Others or Be Yourself? Social Influence in Online Restaurant Reviews. International Journal of Contemporary Hospitality Management, 32 3 , 1067–1087. https://doi.org/10.1108/IJCHM-03-2019-0263.
  • Li, X., & Wu, L. 2018 . Herding and Social Media Word-of-Mouth: Evidence from Groupon. MIS Quarterly, 42 4 , 1331–1351. https://doi.org/10.25300/MISQ/2018/14108.
  • Liu, Q., Huang, S., & Zhang, L. 2016 . The Influence of Information Cascades on Online Purchase Behaviors of Search and Experience Products. Electronic Commerce Research, 16 4 , 553– 580, https://doi.org/10.1007/s10660-016-9220-0.
  • Luo, C., Robert, X., Xu, Y., Warkentin, M., & Ling, C. 2015 . Information & Management Examining the Moderating Role of Sense of Membership in Online Review Evaluations. Information & Management, 52 3 , 305-316, https://doi.org/10.1016/j.im.2014.12.008.
  • 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, doi: 10.1108/978-1-80071-264-520211008.
  • Neti, S. 2011 . Social Media and Its Role in Marketing. International Journal of Enterprise Computing and Business Systems, 1 2 , 1-15.
  • Ohanian, R. 1990 . Construction and Validation of a Scale Measure Celebrity Endorsers’ Perceived Expertise, Trustworthiness, and Attractiveness. Journal of Advertising, 19 3 , 39-52.
  • 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, DOI: 10.2753/MIS0742-1222270205.
  • 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, DOI 10.1108/EJM-09-2020-0719.
  • Quaschning, S., Pandelaere, M., & Vermeir, I. 2012 . Getting Ex Cited: the Role of Herding in Driving Citations. ACR North American Advances.
  • Raafat, R. M., Chater, N., & Frith, C. 2009 . Herding in humans. Trends in cognitive sciences, 13 10 , 420-428.
  • Riley, M. 1954 . Reviewed Work: Communication and Persuasion: Psychological Studies of Opinionchange by C.I. Hovland, I.L. Janie, H.H. Kelley. American Sociological Review, 19 3 , 355-357.
  • Rita, P., Oliveira, T., & Farisa, A. 2019 . The impact of e-Service Quality and Customer Satisfaction on https://doi.org/10.1016/j.heliyon.2019.e02690 in Online Shopping. Heliyon, 5 10 , e02690.
  • Rook, L. 2006 . An Economic Psychological Approach to Herd Behavior. Journal of Economic Issues, 40 1 , 75-95, DOI: 10.1080/00213624.2006.11506883.
  • 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.
  • Smith, L., & Sİrensen, P. 2000 . Pathological Outcomes of Observational Learning. Econometrica, 68 2 , 371–398.
  • Sun, H. 2013 . A Longitudinal Study of Herd Behavior in The Adoption and Continued Use of Technology. MIS Quarterly, 37 4 , 1013-1041.
  • Sunder, S., Kim, K. H., & Yorkston, E. A. 2019 . What Drives Herding Behavior in Online Ratings? The Role of Rater Experience, Product Portfolio, and Diverging Opinions. Journal of Marketing, 83 6 , 93–112. https://doi.org/10.1177/0022242919875688.
  • Şüküroğlu, V. K. 2021 . Sosyal Etki Kurami Bağlaminda Post-Modern Tüketicinin Sosyolojik Anlamda Dönüşümüne Yönelik Bir Değerlendirme. Uluslararası Anadolu Sosyal Bilimler Dergisi, 5 1 , 150-172.
  • 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, doi:10.1111/j.1083- 6101.2008.00409.x.
  • 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, doi:10.1111/j.1083-6101.2010.01522.x.
  • Van Der Heide, B., & Lim, Y. S. 2016 . On the Conditional Cueing of Credibility Heuristics: The Case of 10.1177/0093650214565915. Communication Research, 43 5 672–693, DOI
  • Viglia, G., & Dolnicar, S. 2020 . A review of experiments in tourism and hospitality. Annals of Tourism Research, 80, 102858.
  • Waddell, T. F., & Sundar, S. S. 2020 . Bandwagon Effects in Social Television: How Audience Metrics Related to Size and Opinion Affect the Enjoyment of Digital Media. Computers in Human Behavior, 107, 106270, https://doi.org/10.1016/j.chb.2020.106270.
  • 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.
  • Wells, J. D., Valacich, J. S., & Hess, T. J. 2011 . What Signal are You Sending? How Website Quality Influences Perceptions of Product Quality and Purchase Intentions. MIS Quarterly, 35 2
  • Wong, P., M.L. Ng, P., Lee, D., & Lam, R. 2019 . Examining the Impact of Perceived Source Credibility on Attitudes and Intentions Towards Taking Advice from others on University Choice. International Journal of Educational Management, 34 4 , 709-724.
  • Xu, X., & Fu, W. W. 2014 . Aggregate Bandwagon Effects of Popularity Information on Audiences’ Movie https://doi.org/10.1080/08997764.2014.963229. Journal of Media Economics, 27 4 , 215–233.
  • Xue, F. 2019 . Facebook news feed ads: a social impact theory perspective. Journal of Research in Interactive Marketing, ahead-of-p ahead-of-print . https://doi.org/10.1108/jrim-10-2018- 0125
  • Yu, S., Hudders, L., & Cauberghe, V. 2018 . Are Fashion Consumers Like Schooling Fish? The Effectiveness of Popularity Cues in Fashion e-Commerce. Journal of Business Research, 85, 105-116.
  • Zhao, K., Stylianou, A. C., & Zheng, Y. 2018 . Sources and Impacts of Social Influence from Online Anonymous https://doi.org/10.1016/j.im.2017.03.006 Reviews. Information and Management, 55 1 , 16–30.
  • Zhao, X., Tian, J., & Xue, L. 2020 . Herding and Software Adoption: A Re-Examination Based on Post-Adoption Software Discontinuance. Journal of Management Information Systems, 37 2 , 484–509. https://doi.org/10.1080/07421222.2020.1759941

Conceptual Study on The Effect of Herd Behavior on Source Credibility in The Online Purchasing Process

Yıl 2022, Sayı: 10, 29 - 50, 31.12.2022

Öz

Source credibility theory, which explains how reliable and persuasive the sender source is by the receivers in the communication process, is frequently used in marketing. Businesses make agreements with well-known people or celebrities and use these people as reliable sources in their advertisement and promotion activities. Especially in online platforms, which are used more with the development of technology, messages coming from a reliable source about goods and services can play an essential role in consumers; decision-making processes as a factor in reducing uncertainty. Despite these technological changes, consumers; tendency to be influenced by others in their decision-making processes has remained the same. Being influenced by other peoples decisions with motivations such as uncertainty or reducing risk during the decision-making process is defined as herd behaviour. This study aims to conceptually consider the effect of herd behaviour on source credibility in the online purchasing process. In this context, the study explains source credibility in the online purchasing process and then examines the concept of herd behaviour from a marketing perspective. In addition, the study includes a literature review of studies measuring the effect of herd behaviour on resource reliability in the online purchasing process.

Kaynakça

  • Ali, M., Amir, H., & Shamsi, A. 2021 . Consumer Herding Behavior in Online Buying: A Literature Review. International Review of Management and Business Research, 10 1 , 345-360, DOI: 10.30543/10-1 2021 -30.
  • 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.
  • Asch, S. E. 1956 . Studies of independence and conformity: A majority of one against a unanimous majority. Psychological Monographs, 70–79.
  • Bikhchandani, S., Hirshleifer, D., & Welch, I. 1992 . A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades. Journal of Political Economy, 100 5 , 992-1026.
  • Bikhchandani, S., Hirshleifer, D., & Welch, I. 1998 . Learning from the Behavior of Others: Conformity, Fads, and Informational Cascades. Journal of Economic Perspectives, 12 3 , 151– 170. https://doi.org/10.1257/jep.12.3.151.
  • Boerman, S. C. 2020 . The Effects of the Standardized Instagram Disclosure for Micro- and Meso- Influencers. https://doi.org/10.1016/j.chb.2019.09.015. in Human Behavior, 103, 199-207
  • Burtch, G., Hong, Y., Bapna, R., & Griskevicius, V. 2017 . Stimulating Online Reviews by Combining Financial Incentives and Social Norms. Management Science, 64 5 ,1-18. https://doi.org/10.1287/mnsc.2016.2715.
  • Chen, Y. F. 2008 . Herd Behavior in Purchasing Books Online. Computers in Human Behavior, 24 5 , 1977–1992. https://doi.org/10.1016/j.chb.2007.08.004
  • Chen, P., Wu, S., & Yoon, J. 2004 . The Impact of Online Recommendation and Consumer Feedback on Sales. Proceeding of the International Conference on Information Systems, s. 711–724 .
  • Cheung, C. M. K., Xiao, B., & Liu, I. L. B. 2012 . The Impact of Observational Learning and Electronic Word of Mouth on Consumer Purchase Decisions: The Moderating Role of Consumer Expertise and Consumer Involvement. Proceedings of the Annual Hawaii International Conference on System Sciences, 3228–3237. https://doi.org/10.1109/HICSS.2012.570.
  • Childers, C. C., Lemon, L. L., & Hoy, M. G. 2019 . # Sponsored# Ad: Agency Perspective on Influencer Marketing Campaigns. Journal of Current Issues & Research in Advertising, 40 3 , 258-274.
  • Choi, H. S., Oh, W., Kwak, C., Lee, J., & Lee, H. 2022 . Effects of Online Crowds on Self-Disclosure Behaviors in Online Reviews: A Multidimensional Examination. Journal of Management Information Systems, 39 1 , 218-246.
  • 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.
  • Cypryjański, J., & Grzesiuk, A. 2015 . The Role of Signals in Online Auction Purchase Decisions. Folia Oeconomica Stetinensia, 15 1 , 53–68. https://doi.org/10.1515/foli-2015-0019.
  • Çelen, B., & Kariv, S. 2004 . Distinguishing Informational Cascades from Herd Behavior in the Laboratory. https://doi.org/10.1257/0002828041464461. Economic Review, 94 3 , 484–498.
  • Das, G., Mukherjee, A., & Smith, R. J. 2018 . The Perfect Fit : The Moderating Role of Selling Cues on Hedonic and Utilitarian Product Types. Journal of Retailing, 1–14. https://doi.org/10.1016/j.jretai.2017.12.002.
  • 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 10.1080/02650487.2017.1348035. of Advertising, 36 5 , 798-828, DOI
  • 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, https://doi.org/10.1007/s11002-019- 09496-6.
  • Deutsch, M., & Gerard, H. B. 1955 . A Study of Normative and Informational Social Influences upon Individual Judgment. The Journal of Abnormal and Social Psychology, 51 3 , 629-636.
  • Ding, A. V., & Li, S. 2019 . Herding in the Consumption and Purchase of Digital Goods and Moderators of the Herding Bias. Journal of the Academy of Marketing Science, 47 3 , 460- 478, https://doi.org/10.1007/s11747-018-0619-0.
  • Eisend, M. 2004 . Is It Still Worth to Be Credible? AMeta-Analysis of Temporal Patterns of Source Credibility Effects in Marketing. Advances in Consumer Research, 31, 352–357.
  • Erdoğan, B. Z. 1999 . Celebrity Endorsement: A Literature Review. Journal of Marketing Management, 15 4 , 291-314.
  • Forsythe, S., & Shi, B. 2003 . Consumer Patronage and Risk Perceptions in Internet Shopping. Journal of Business Research, 56 11 , 867–875.
  • Gellerstedt, M., & Arvemo, T. 2019 . The Impact of Word of Mouth when Booking a Hotel: Could a Good Friend’s Opinion Outweigh the Online Majority?. Information Technology & Tourism, 21 3 , 289-311.
  • Gimpel, H., Heger, S., Olenberger, C., & Utz, L. 2021 . The Effectiveness of Social Norms in Fighting Fake News on Social Media. Journal of Management Information Systems, 38 1 , 196-221.
  • Griskevicius, V., Goldstein, N. J., Mortensen, C. R., Sundie, J. M., Cialdini, R. B., & Kenrick, D. T. 2009 . Fear and loving in Las Vegas: Evolution, Emotion, and Persuasion. Journal of Marketing Research, 46 3 , 384-395.
  • Häubl, G., & Trifts, V. 2000 . Consumer Decision Making in Online Shopping Environments: The Effects https://doi.org/10.1287/mksc.19.1.4.15178. Decision Aids. Marketing Science, 19 1 , 4-21
  • He, Y., & Oppewal, H. 2018 . See how much we’ve sold already Effects of displaying sales and stock level information on consumers’ online product choices. Journal of Retailing, 94 1 , 45-57.
  • Huang, J. H., & Chen, Y. F. 2006 . Herding in Online Product Choice. Psychology & Marketing, 23 5
  • 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, https://doi.org/10.1080/02650487.2021.1994205.
  • 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, DOI: 10.1080/00913367.2013.827606.
  • Kim, M. J., Lee, C. K., & Jung, T. 2020 . Exploring Consumer Behavior in Virtual Reality Tourism Using an Extended Stimulus-Organism-Response Model. Journal of Travel Research, 59 1 , 69–89. https://doi.org/10.1177/0047287518818915.
  • Küçükusta, D., Law, R., Besbes, A., & Legohérel, P. 2015 . Re-examining perceived usefulness and ease of use in online booking: The case of Hong Kong online users. International Journal of Contemporary Hospitality Management, 27 2 , 185-198.
  • Kwon, J. M., Bae, J. I., & Phelan, K. 2011 . Online Consumer Herding Behaviors in the Hotel Industry.
  • Langley, D. J., Hoeve, M. C., Ortt, J. R., Pals, N., & Vecht, B. Van Der. 2014 . ScienceDirect Patterns of Herding and their Occurrence in an Online Setting. Journal of Interactive Marketing, 28 1 , 16–25. https://doi.org/10.1016/j.intmar.2013.06.005.
  • Latané, B. 1981 . The Psychology of Social Impact. American Psychologist, 36 4 , 343–356. https://doi.org/10.1037/0003-066X.36.4.343.
  • Latane, B., & Wolf, S. 1981 . The Social Impact of Majorities and Minorities. In Psychological Review, 88 5 , 438-453, https://doi.org/10.1037/0033-295X.88.5.438.
  • Lee, K., Lee, B., & Oh, W. 2015 . Thumbs Up, Sales Up? The Contingent Effect of Facebook Likes on Sales Performance in Social Commerce. Journal of Management Information Systems, 32 4 , 109–143. https://doi.org/10.1080/07421222.2015.1138372.
  • Lee, J. Y., & Sundar, S. 2013 . To Tweet or to Retweet? That Is the Question for Health Professionals DOI:10.1080/10410236.2012.700391. Twitter. Health
  • Communication, 28 5 , 509-524
  • Leibenstein, H. 1950 . Bandwagon, Snob, and Veblen Effects in the Theory of Consumers' Demand. https://doi.org/10.2307/1882692. Quarterly Journal of Economics, 64 2 , 183-207
  • Li, H., Meng, F., Jeong, M., & Zhang, Z. 2020 . To Follow Others or Be Yourself? Social Influence in Online Restaurant Reviews. International Journal of Contemporary Hospitality Management, 32 3 , 1067–1087. https://doi.org/10.1108/IJCHM-03-2019-0263.
  • Li, X., & Wu, L. 2018 . Herding and Social Media Word-of-Mouth: Evidence from Groupon. MIS Quarterly, 42 4 , 1331–1351. https://doi.org/10.25300/MISQ/2018/14108.
  • Liu, Q., Huang, S., & Zhang, L. 2016 . The Influence of Information Cascades on Online Purchase Behaviors of Search and Experience Products. Electronic Commerce Research, 16 4 , 553– 580, https://doi.org/10.1007/s10660-016-9220-0.
  • Luo, C., Robert, X., Xu, Y., Warkentin, M., & Ling, C. 2015 . Information & Management Examining the Moderating Role of Sense of Membership in Online Review Evaluations. Information & Management, 52 3 , 305-316, https://doi.org/10.1016/j.im.2014.12.008.
  • 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, doi: 10.1108/978-1-80071-264-520211008.
  • Neti, S. 2011 . Social Media and Its Role in Marketing. International Journal of Enterprise Computing and Business Systems, 1 2 , 1-15.
  • Ohanian, R. 1990 . Construction and Validation of a Scale Measure Celebrity Endorsers’ Perceived Expertise, Trustworthiness, and Attractiveness. Journal of Advertising, 19 3 , 39-52.
  • 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, DOI: 10.2753/MIS0742-1222270205.
  • 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, DOI 10.1108/EJM-09-2020-0719.
  • Quaschning, S., Pandelaere, M., & Vermeir, I. 2012 . Getting Ex Cited: the Role of Herding in Driving Citations. ACR North American Advances.
  • Raafat, R. M., Chater, N., & Frith, C. 2009 . Herding in humans. Trends in cognitive sciences, 13 10 , 420-428.
  • Riley, M. 1954 . Reviewed Work: Communication and Persuasion: Psychological Studies of Opinionchange by C.I. Hovland, I.L. Janie, H.H. Kelley. American Sociological Review, 19 3 , 355-357.
  • Rita, P., Oliveira, T., & Farisa, A. 2019 . The impact of e-Service Quality and Customer Satisfaction on https://doi.org/10.1016/j.heliyon.2019.e02690 in Online Shopping. Heliyon, 5 10 , e02690.
  • Rook, L. 2006 . An Economic Psychological Approach to Herd Behavior. Journal of Economic Issues, 40 1 , 75-95, DOI: 10.1080/00213624.2006.11506883.
  • 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.
  • Smith, L., & Sİrensen, P. 2000 . Pathological Outcomes of Observational Learning. Econometrica, 68 2 , 371–398.
  • Sun, H. 2013 . A Longitudinal Study of Herd Behavior in The Adoption and Continued Use of Technology. MIS Quarterly, 37 4 , 1013-1041.
  • Sunder, S., Kim, K. H., & Yorkston, E. A. 2019 . What Drives Herding Behavior in Online Ratings? The Role of Rater Experience, Product Portfolio, and Diverging Opinions. Journal of Marketing, 83 6 , 93–112. https://doi.org/10.1177/0022242919875688.
  • Şüküroğlu, V. K. 2021 . Sosyal Etki Kurami Bağlaminda Post-Modern Tüketicinin Sosyolojik Anlamda Dönüşümüne Yönelik Bir Değerlendirme. Uluslararası Anadolu Sosyal Bilimler Dergisi, 5 1 , 150-172.
  • 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, doi:10.1111/j.1083- 6101.2008.00409.x.
  • 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, doi:10.1111/j.1083-6101.2010.01522.x.
  • Van Der Heide, B., & Lim, Y. S. 2016 . On the Conditional Cueing of Credibility Heuristics: The Case of 10.1177/0093650214565915. Communication Research, 43 5 672–693, DOI
  • Viglia, G., & Dolnicar, S. 2020 . A review of experiments in tourism and hospitality. Annals of Tourism Research, 80, 102858.
  • Waddell, T. F., & Sundar, S. S. 2020 . Bandwagon Effects in Social Television: How Audience Metrics Related to Size and Opinion Affect the Enjoyment of Digital Media. Computers in Human Behavior, 107, 106270, https://doi.org/10.1016/j.chb.2020.106270.
  • 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.
  • Wells, J. D., Valacich, J. S., & Hess, T. J. 2011 . What Signal are You Sending? How Website Quality Influences Perceptions of Product Quality and Purchase Intentions. MIS Quarterly, 35 2
  • Wong, P., M.L. Ng, P., Lee, D., & Lam, R. 2019 . Examining the Impact of Perceived Source Credibility on Attitudes and Intentions Towards Taking Advice from others on University Choice. International Journal of Educational Management, 34 4 , 709-724.
  • Xu, X., & Fu, W. W. 2014 . Aggregate Bandwagon Effects of Popularity Information on Audiences’ Movie https://doi.org/10.1080/08997764.2014.963229. Journal of Media Economics, 27 4 , 215–233.
  • Xue, F. 2019 . Facebook news feed ads: a social impact theory perspective. Journal of Research in Interactive Marketing, ahead-of-p ahead-of-print . https://doi.org/10.1108/jrim-10-2018- 0125
  • Yu, S., Hudders, L., & Cauberghe, V. 2018 . Are Fashion Consumers Like Schooling Fish? The Effectiveness of Popularity Cues in Fashion e-Commerce. Journal of Business Research, 85, 105-116.
  • Zhao, K., Stylianou, A. C., & Zheng, Y. 2018 . Sources and Impacts of Social Influence from Online Anonymous https://doi.org/10.1016/j.im.2017.03.006 Reviews. Information and Management, 55 1 , 16–30.
  • Zhao, X., Tian, J., & Xue, L. 2020 . Herding and Software Adoption: A Re-Examination Based on Post-Adoption Software Discontinuance. Journal of Management Information Systems, 37 2 , 484–509. https://doi.org/10.1080/07421222.2020.1759941
Toplam 73 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Derleme
Yazarlar

Sefa Özdemir Bu kişi benim

Serdar Pirtini Bu kişi benim

Yayımlanma Tarihi 31 Aralık 2022
Yayımlandığı Sayı Yıl 2022 Sayı: 10

Kaynak Göster

APA Özdemir, S., & Pirtini, S. (2022). Online Satın Alma Sürecinde Sürü Davranışının Kaynak Güvenilirliğine Etkisi Üzerine Kavramsal Bir Çalışma. ETÜ Sentez İktisadi ve İdari Bilimler Dergisi(10), 29-50. https://doi.org/10.47358/sentez.2022.36