Providing a model to support the decision to select the most influential influencer in marketing campaigns on the Instagram social network.

Authors

Abstract

With the advent of digital marketing and the subsequent emergence of social networks such as Facebook and Instagram, as well as the emergence of entities called influencers on these networks, numerous subcategories have arisen to optimize marketing activities with the purpose of having a larger, more effective, more targeted audience aiming at lowering the cost of advertising for businesses and obtaining greater efficiency. Influencer marketing is a branch of marketing that identifies and focuses on a specific person or a particular style of society and then observes potential audiences to lead other marketers' activities such as defining methods and markets, selecting the right target influencers, how to properly convey the message and attract the target audience in order to reach more efficiency and increase in the value of brands, businesses and products / services. The purpose of this study was to present a decision making model for selecting the most effective influencer(s) out of the existing influencer community in the  case study, Instagram social network, for the product / service being marketed. The criteria for identifying influencers in the present study were obtained by collecting those criteria that were studied sporadically in other studies previously. The data collection tool was a standard Likert 5point scale questionnaire in which these criteria were purposefully examined through distribution among100 experts in the relevant areas of the research subject, and were analyzed through Fuzzy Delphi Method.
Content validity was used to verify its validity and Cronbach's alpha coefficient was used to measure the reliability of the questionnaire. The reliability of the questionnaire was higher than 0.8 which is scientifically accepted.
The weights of the final criteria were then determined for each of the five proposed products/services by SWARA Method. Finally, with those measurements, each criteria was individually assessed for 14 persons out of the community Instagram influencers using Multi-Criteria Decision Making (MCDM). The analysis showed a positive and significant relationship between the selected influencers and the proposed product / service.

Keywords


  1. فتحی آشتیانی، علی (1389). آزمونهای روانشناختی. تهران: بعثت.
  2. آذر، عادل و مومنی، منصور (1389). آمار و کاربرد آن در مدیریت جلد دوم. تهران: سمت
  3. Bergström, T. and L. Bäckman (2013). Marketing and PR in Social Media: How the utilization of Instagram builds and maintains customer relationships.
  4. Mangold, W. G. and D. J. Faulds (2009). "Social media: The new hybrid element of the promotion mix." Business horizons 52(4): 357-365.
  5. Lim, X. J., et al. (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.
  6. Litterio, A. M., et al. (2017). "Marketing and social networks: a criterion for detecting opinion leaders." European Journal of Management and Business Economics 26(3): 347-366.
  7. Ryan, D. (2016). Understanding digital marketing: marketing strategies for engaging the digital generation, Kogan Page Publishers.
  8. Armstrong, Adam et al. 2014 Kaplan, A. M. and M. Haenlein (2010). "Users of the world, unite! The challenges and opportunities of Social Media." Business horizons 53(1): 59-68.
  9. Weinberg, T. (2009). The new community rules: Marketing on the social web, " O'Reilly Media, Inc.".
  10. Smith, E. (2017). TapInfluence and Nielsen Catalina Solutions Launch Collaboration for CPG Brands to Measure Sales Impact of Influencer Marketing Campaigns, Abgerufen am.
  11. Brown, D. and N. Hayes (2008). Influencer marketing, Routledge.
  12. Parente, D. and K. Strausbaugh-Hutchinson (2014). Advertising campaign strategy: A guide to marketing communication plans, Cengage Learning.
  13. Biaudet, S. (2017). "Influencer Marketing as a Marketing Tool: The process of creating an Influencer Marketing Campaign on Instagram."
  14. Baramidze, T. (2018). "The effect of influencer marketing on customer behavior. The case of" YouTube" influencers in makeup industry."
  15. Booth, N. and J. A. Matic (2011). "Mapping and leveraging influencers in social media to shape corporate brand perceptions." Corporate Communications: An International Journal 16(3): 184-191.
  16. Woods, S. (2016). "# Sponsored: The Emergence of Influencer Marketing.”
  17. Sammis, K., et al. (2015). Influencer marketing for dummies, John Wiley & Sons.
  18. Djafarova, E. and C. Rushworth (2017). "Exploring the credibility of online celebrities' Instagram profiles in influencing the purchase decisions of young female users." Computers in Human Behavior 68: 1-7.
  19. Langner, S., et al. (2013). "Social persuasion: targeting social identities through social influencers." Journal of consumer marketing 30(1): 31-49.
  20. Brown, D. and S. Fiorella (2013). Influence marketing: How to create, manage, and measure brand influencers in social media marketing, Que Publishing.
  21. De Veirman, M., et al. (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.
  22. Jaakonmäki, R., et al. (2017). "The impact of content, context, and creator on user engagement in social media marketing."
  23. Zhao, X., et al. (2018). "Disentangling social media influence in crises: Testing a four-factor model of social media influence with large data." Public Relations Review 44(4): 549-561.
  24. More, J. S. and C. Lingam (2017). "A SI model for social media influencer maximization." Applied Computing and Informatics.
  25. Lee, J. and M. J. Nguyen (2017). "Product attributes and preference for foreign brands among Vietnamese consumers." Journal of Retailing and Consumer Services 35: 76-83.
  26. Hwang, C. L. and K. Yoon (1981). Attributes decision making methods and applications. Berlin, Springer.
  27. Lin, M. C., et al. (2008). "Using AHP and TOPSIS approaches in customer-driven product design process." Computers in industry 59(1): 17-31.
  28. Hwang, C. L. and K. Yoon (2011). Multiple Attribute Decision Making: Methods and Applications. Heidelberg, Springer.
  29. Zanakis, S. H., Solomon, A., Wishart, N., & Dublish, S. (1998). Multi-attribute decision making: a simulation comparison of select methods. European journal of operational research, 107(3), 507-529.
  30. Mela, K., et al. (2012). "Comparative study of multiple criteria decision making methods for building design." Advanced Engineering Informatics 26(4): 716-726.
  31. Voogd, H. (1983). Multicriteria evaluation for urban and regional planning, Pion London.
  32. Morris, N., Understanding digital marketing: marketing strategies for engaging the digital generation. 2009, Springer.
  33. Bala, M. and D. Verma, A critical review of digital marketing. International Journal of Management, IT and Engineering, 2018. 8(10): p. 321-339.
  34. Coelho, R.M.M., Influencer marketing: the impact of the number of followers on influencer’s likability for young Instagram users. 2019.
  35. Stokes, R. (2011). eMarketing: The essential guide to digital marketing. Quirk eMarketing.
  36. Brown, D., & Fiorella, S. (2013). Influence marketing: How to create, manage, and measure brand influencers in social media marketing. Que Publishing.
  37. Keegan, B. J., & Rowley, J. (2016). Evaluation and decision-making in social media marketing. Management Decision.