Title : The Influence of Consumer Persuasion Knowledge in the Context of Online Targeted Advertising (OTA) on Ad Intrusiveness and Privacy Concerns: The Emergence of Ad Avoidance Behavior

Vol 8 No 3 (2025): Volume 08 Issue 03 March 2025

Article Date Published : 13 March 2025 | Page No.: 1168-1181 | Google Scholar | Crossref doi for this article

Abstract :

With the increasing use of Online Targeted Advertising (OTA) on social media platforms such as Facebook and Instagram, the phenomenon of ad avoidance has emerged due to privacy concerns and perceived ad intrusiveness. This study aims to analyze how consumer persuasion knowledge influences perceived ad intrusiveness, privacy concerns, and ad avoidance behavior, as well as the role of coping self-efficacy as a moderator. This research employs a quantitative approach using an online survey involving 500 Facebook and Instagram users. Data were collected through a Likert-scale questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the relationships between variables. The findings indicate that OTA persuasion knowledge significantly influences ad intrusiveness and privacy concerns, ultimately increasing ad avoidance behavior. Furthermore, coping self-efficacy acts as a moderating variable that weakens the relationship between persuasion knowledge and both ad intrusiveness and privacy concerns. The study concludes that consumer awareness of online advertising strategies can heighten discomfort and ad avoidance, particularly when privacy concerns arise. Therefore, marketers need to develop more transparent and non-intrusive advertising strategies to enhance the effectiveness of online advertisements.

Keywords :

Ad Avoidance, Ad Intrusiveness, Persuasion Knowledge, Privacy Concerns.

References :

  1. Aguirre, E., Mahr, D., Grewal, D., de Ruyter, K., & Wetzels, M. (2015). Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness. Journal of Retailing, 91(1). https://doi.org/10.1016/j.jretai.2014.09.005
  2. Ahn, S. J. G., Phua, J., & Shan, Y. (2017). Self-endorsing in digital advertisements: Using virtual selves to persuade physical selves. Computers in Human Behavior, 71. https://doi.org/10.1016/j.chb.2017.01.045
  3. Aiolfi, S., Bellini, S., & Pellegrini, D. (2021). Data-driven digital advertising: Benefits and risks of online behavioral advertising. International Journal of Retail and Distribution Management, 49(7). https://doi.org/10.1108/IJRDM-10-2020-0410
  4. Ajzen, I. (1991). Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes.The theory of planned behavior. In Organizational Behavior and Human Decision Processes (Vol. 50, Issue 2).
  5. Baek, T., & Morimoto, M. (2012). Stay away from me: Examining the determinants of consumer avoidance of personalized advertising. Journal of Advertising, 41(1). https://doi.org/10.2753/JOA0091-3367410105
  6. Bandura, A. (2000). Self-efficacy: The foundation of agency. In Control of human behavior, mental processes, and consciousness: Essays in honor of the 60th birthday of August Flammer.
  7. Bang, H. J., & Lee, W. N. (2016). Consumer response to ads in social network sites: An exploration into the role of ad location and path. Journal of Current Issues and Research in Advertising, 37(1). https://doi.org/10.1080/10641734.2015.1119765
  8. Bearden, W. O., Hardesty, D. M., & Rose, R. L. (2001). Consumer self-confidence: Refinements in conceptualization and measurement. Journal of Consumer Research, 28(1), 121–134. https://doi.org/10.1086/321951
  9. Bergström, A. (2015). Online privacy concerns: A broad approach to understanding the concerns of different groups for different uses. Computers in Human Behavior, 53. https://doi.org/10.1016/j.chb.2015.07.025
  10. Bleier, A., & Eisenbeiss, M. (2015). The Importance of Trust for Personalized Online Advertising. Journal of Retailing, 91(3). https://doi.org/10.1016/j.jretai.2015.04.001
  11. Boerman, S. C., Kruikemeier, S., & Bol, N. (2021). When is personalized advertising crossing personal boundaries? How type of information, data sharing, and personalized pricing influence consumer perceptions of personalized advertising. Computers in Human Behavior Reports, 4. https://doi.org/10.1016/j.chbr.2021.100144
  12. Boerman, S. C., Kruikemeier, S., & Zuiderveen Borgesius, F. J. (2017). Online behavioral advertising: A literature review and research agenda. Journal of Advertising, 46(3). https://doi.org/10.1080/00913367.2017.1339368
  13. Brinson, N. H., & Eastin, M. S. (2016). Juxtaposing the persuasion knowledge model and privacy paradox: An experimental look at advertising personalization, public policy, and public understanding. Cyberpsychology, 10(1). https://doi.org/10.5817/CP2016-1-7
  14. Campbell, M. C., & Kirmani, A. (2000). Consumers’ use of persuasion knowledge: The effects of accessibility and cognitive capacity on perceptions of an influence agent. Journal of Consumer Research, 27(1). https://doi.org/10.1086/314309
  15. Carrascosa, J. M., Mikians, J., Cuevas, R., Erramilli, V., & Laoutaris, N. (2015). I always feel like somebody’s watching me: Measuring online behavioral advertising. Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies, CoNEXT 2015. https://doi.org/10.1145/2716281.2836098
  16. Chen, Q., Feng, Y., Liu, L., & Tian, X. (2019). ‘Understanding consumers’ reactance of online personalized advertising: A new scheme of rational choice from a perspective of negative effects. International Journal of Information Management, 44. https://doi.org/10.1016/j.ijinfomgt.2018.09.001
  17. Cho, C. H., & Cheon, H. J. (2004). Why do people avoid advertising on the internet? Journal of Advertising, 33(4). https://doi.org/10.1080/00913367.2004.10639175
  18. Clancey, M. (1994). The television audience examined. Journal of Advertising Research, 34(4).
  19. De Keyzer, F., Dens, N., & De Pelsmacker, P. (2022). How and When Personalized Advertising Leads to Brand Attitude, Click, and WOM Intention. Journal of Advertising, 51(1). https://doi.org/10.1080/00913367.2021.1888339
  20. (2020). The Edelman Trust Barometer Special Report: Brand Trust in 2020. https://www.edelman.com/research/brand-trust-2020
  21. Edwards, S. M., Li, H., & Lee, J. H. (2002). Forced exposure and psychological reactance: Antecedents and consequences of the perceived intrusiveness of pop-up ads. Journal of Advertising, 31(3). https://doi.org/10.1080/00913367.2002.10673678
  22. Eisend, M., & Tarrahi, F. (2022). Persuasion Knowledge in the Marketplace: A Meta-Analysis. Journal of Consumer Psychology, 32(1). https://doi.org/10.1002/jcpy.1258
  23. Feng, Y., & Xie, Q. (2019). Privacy Concerns, Perceived Intrusiveness, and Privacy Controls: An Analysis of Virtual Try-On Apps. Journal of Interactive Advertising, 19(1). https://doi.org/10.1080/15252019.2018.1521317
  24. Fransen, M. L., Verlegh, P. W. J., Kirmani, A., & Smit, E. G. (2015). A typology of consumer strategies for resisting advertising, and a review of mechanisms for countering them. International Journal of Advertising, 34(1). https://doi.org/10.1080/02650487.2014.995284
  25. Friestad, M., & Wright, P. (1994). The Persuasion Knowledge Model: How People Cope with Persuasion Attempts. Journal of Consumer Research, 21(1). https://doi.org/10.1086/209380
  26. Ghosh, P., Lakavath, M., Somaskandan, K., & Parayitam, S. (2022). Reliability as a moderator in the relationship between the antecedents and consequences of general attitude toward advertising. South Asian Journal of Marketing, 3(2). https://doi.org/10.1108/sajm-09-2021-0112
  27. Ha, L. (1996). Observations: Advertising clutter in consumer magazines: Dimensions and effects. Journal of Advertising Research, 36(4).
  28. Ham, C. D. (2017). Exploring how consumers cope with online behavioral advertising. International Journal of Advertising, 36(4). https://doi.org/10.1080/02650487.2016.1239878
  29. Ham, C. D., Nelson, M. R., & Das, S. (2015). How to measure persuasion knowledge. International Journal of Advertising, 34(1). https://doi.org/10.1080/02650487.2014.994730
  30. Ham, C. D., Ryu, S., Lee, J., Chaung, U. C., Buteau, E., & Sar, S. (2022). Intrusive or Relevant? Exploring How Consumers Avoid Native Facebook Ads through Decomposed Persuasion Knowledge. Journal of Current Issues and Research in Advertising, 43(1). https://doi.org/10.1080/10641734.2021.1944934
  31. Hai-Ru, Z., Dong-mei, Q., & Zheng-zeng, L. (2019). Research on the paradox of user privacy threat response in online shopping context: Based on the perspective of coping behavior theory. The Journal of Infection, 38(8).
  32. Hirsh, J. B., Kang, S. K., & Bodenhausen, G. V. (2012). Personalized Persuasion: Tailoring Persuasive Appeals to Recipients’ Personality Traits. Psychological Science, 23(6). https://doi.org/10.1177/0956797611436349
  33. Interactive Advertising Bureau. (2017). IAB Believes Ad Blocking Is Wrong. Interactive Advertising Bureau. https://www.iab.com/iab-believes-ad-blocking-is-wrong/
  34. Jung, A. R. (2017). The influence of perceived ad relevance on social media advertising: An empirical examination of a mediating role of privacy concern. Computers in Human Behavior, 70. https://doi.org/10.1016/j.chb.2017.01.008
  35. Jung, Y., & Park, J. (2018). An investigation of relationships among privacy concerns, affective responses, and coping behaviors in location-based services. International Journal of Information Management, 43. https://doi.org/10.1016/j.ijinfomgt.2018.05.007
  36. Khan, A., Rezaei, S., & Valaei, N. (2022). Social commerce advertising avoidance and shopping cart abandonment: A fs/QCA analysis of German consumers. Journal of Retailing and Consumer Services, 67. https://doi.org/10.1016/j.jretconser.2022.102976
  37. Kim, J. (Jay), Kim, T., Wojdynski, B. W., & Jun, H. (2022). Getting a little too personal? Positive and negative effects of personalized advertising on online multitaskers. Telematics and Informatics, 71. https://doi.org/10.1016/j.tele.2022.101831
  38. Kim, K., & Kim, J. (2011). Third-party Privacy Certification as an Online Advertising Strategy: An Investigation of the Factors Affecting the Relationship between Third-party Certification and Initial Trust. Journal of Interactive Marketing, 25(3). https://doi.org/10.1016/j.intmar.2010.09.003
  39. Kirmani, A., & Campbell, M. C. (2004). Goal seeker and persuasion sentry: How consumer targets respond to interpersonal marketing persuasion. Journal of Consumer Research, 31(3). https://doi.org/10.1086/425092
  40. Lazarus, R. S., & Folkman, S. (1984). Stress, Appraisal and Coping. Springer.
  41. Lee, J., Kim, S., Ham, C. D., & Seok, A. (2022). Avoidance and Acceptance of Native Advertising on Social Media: Applications of Consumer Social Intelligence, Persuasion Knowledge, and the Typology of Consumer Responses. Journal of Interactive Advertising, 22(2). https://doi.org/10.1080/15252019.2022.2065389
  42. Leon, P. G., Ur, B., Balebako, R., Cranor, L. F., Shay, R., & Wang, Y. (2012). Why Johnny can’t opt out: A usability evaluation of tools to limit online behavioral advertising. Conference on Human Factors in Computing Systems – Proceedings. https://doi.org/10.1145/2207676.2207759
  43. Li, C., Liu, J., & Hong, C. (2019). The Effect of Preference Stability and Extremity on Personalized Advertising. Journalism and Mass Communication Quarterly, 96(2). https://doi.org/10.1177/1077699018782203
  44. Li, H., Edwards, S. M., & Lee, J. H. (2002). Measuring the intrusiveness of advertisements: Scale development and validation. Journal of Advertising, 31(2). https://doi.org/10.1080/00913367.2002.10673665
  45. Lim, R. E., Sung, Y. H., & Hong, J. M. (2023). Online targeted ads: Effects of persuasion knowledge, coping self-efficacy, and product involvement on privacy concerns and ad intrusiveness. Telematics and Informatics, 76. https://doi.org/10.1016/j.tele.2022.101920
  46. Lin, C. A., & Kim, T. (2016). Predicting user response to sponsored advertising on social media via the technology acceptance model. Computers in Human Behavior, 64. https://doi.org/10.1016/j.chb.2016.07.027
  47. Luna Cortés, G., & Royo Vela, M. (2013). The Antecedents of Consumers’ Negative Attitudes Toward SMS Advertising: A Theoretical Framework and Empirical Study. Journal of Interactive Advertising, 13(2). https://doi.org/10.1080/15252019.2013.826553
  48. Malheiros, M., Jennett, C., Patel, S., Brostoff, S., & Sasse, M. A. (2012). Too close for comfort: A study of the effectiveness and acceptability of rich-media personalized advertising. 579–588.
  49. McCoy, S., Everard, A., Polak, P., & Galletta, D. F. (2008). An experimental study of antecedents and consequences of online ad intrusiveness. International Journal of Human-Computer Interaction, 24(7). https://doi.org/10.1080/10447310802335664
  50. McDonald, A., & Cranor, L. (2010). Beliefs and behaviors: Internet users’ understanding of behavioral advertising. Telecommunications Policy Research Conference
  51. Morey, T., Theo Forbath, T., & Schoop, A. (2015). Customer data: Designing for transparency and trust. In Harvard Business Review (Vol. 2015, Issue May).
  52. Mikołajczak-Degrauwe, K., & Brengman, M. (2014). The influence of advertising on compulsive buying – The role of persuasion knowledge. Journal of Behavioral Addictions, 3(1). https://doi.org/10.1556/JBA.2.2013.018
  53. Miyazaki, A. D. (2008). Online privacy and the disclosure of cookie use: Effects on consumer trust and anticipated patronage. Journal of Public Policy and Marketing, 27(1). https://doi.org/10.1509/jppm.27.1.19
  54. Morimoto, M. (2021). Privacy concerns about personalized advertising across multiple social media platforms in Japan: The relationship with information control and persuasion knowledge. International Journal of Advertising, 40(3). https://doi.org/10.1080/02650487.2020.1796322
  55. Morimoto, M., & Chang, S. (2006). Consumers’ Attitudes Toward Unsolicited Commercial E-mail and Postal Direct Mail Marketing Methods. Journal of Interactive Advertising, 7(1). https://doi.org/10.1080/15252019.2006.10722121
  56. Morimoto, M., & Macias, W. (2009). A Conceptual framework for unsolicited commercial e-mail: Perceived intrusiveness and privacy concerns. Journal of Internet Commerce, 8(3–4). https://doi.org/10.1080/15332860903467342
  57. Ozcelik, A. B., & Varnali, K. (2019). Effectiveness of online behavioral targeting: A psychological perspective. Electronic Commerce Research and Applications, 33. https://doi.org/10.1016/j.elerap.2018.11.006
  58. Pashkevich, M., Dorai-Raj, S., Kellar, M., & Dan, Z. (2012). Empowering online advertisements by empowering viewers with the right to choose: The relative effectiveness of skippable video advertisements on youtube. Journal of Advertising Research, 52(4).
  59. Pechmann, C., Zhao, G., Goldberg, M. E., & Reibling, E. T. (2003). What to convey in antismoking advertisements for adolescents: The use of protection motivation theory to identify effective message themes. In Journal of Marketing (Vol. 67, Issue 2). https://doi.org/10.1509/jmkg.67.2.1.18607
  60. Rifon, N. J., Larose, R., & Choi, S. M. (2005). Your privacy is sealed: Effects of web privacy seals on trust and personal disclosures. In Journal of Consumer Affairs (Vol. 39, Issue 2). https://doi.org/10.1111/j.1745-6606.2005.00018.x
  61. Ritter, E. A., & Cho, C. H. (2009). Effects of ad placement and type on consumer responses to podcast ads. Cyberpsychology and Behavior, 12(5). https://doi.org/10.1089/cpb.2009.0074
  62. Rogers, R. W. (1983). Cognitive and physiological processes in fear appeals and attitude change: A revised theory of protection motivation. In Social psychophysiology. A sourcebook.
  63. Saxena, A., & Khanna, U. (2013). Advertising on Social Network Sites: A Structural Equation Modelling Approach. Vision: The Journal of Business Perspective, 17(1). https://doi.org/10.1177/0972262912469560
  64. Sheth, J. (2020). Impact of Covid-19 on consumer behavior: Will the old habits return or die? Journal of Business Research, 117. https://doi.org/10.1016/j.jbusres.2020.05.059
  65. Simonson, I. (2011). Determinants of customers’ responses to customized offers: Conceptual framework and research propositions. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.405060
  66. Smit, B., Park, A. H. A., & Gadikota, G. (2014). The grand challenges in carbon capture, utilization, and storage. Frontiers in Energy Research, 2(NOV). https://doi.org/10.3389/fenrg.2014.00055
  67. Speck, P. S., & Elliott, M. T. (1997). Predictors of advertising avoidance in print and broadcast media. Journal of Advertising, 26(3). https://doi.org/10.1080/00913367.1997.10673529
  68. (2023). Adblocking: penetration rate 2022, by country.
  69. Strong, C. (2013). If ad-blockers threaten revenue, then what’s the solution? Mediatel UK. http://mediatel.co.uk/newsline/2013/09/18/ad-blockers-if-they-threaten- revenue-then-whats-the-alternative
  70. Sundar, S. S., & Marathe, S. S. (2010). Personalization versus customization: The importance of agency, privacy, and power usage. Human Communication Research, 36(3). https://doi.org/10.1111/j.1468-2958.2010.01377.x
  71. Teeny, J. D., Siev, J. J., Briñol, P., & Petty, R. E. (2021). A Review and Conceptual Framework for Understanding Personalized Matching Effects in Persuasion. In Journal of Consumer Psychology (Vol. 31, Issue 2). https://doi.org/10.1002/jcpy.1198
  72. Tucker, C. E. (2014). Social networks, personalized advertising, and privacy controls. Journal of Marketing Research, 51(5). https://doi.org/10.1509/jmr.10.0355
  73. Tran, T. P. (2017). Personalized ads on Facebook: An effective marketing tool for online marketers. Journal of Retailing and Consumer Services, 39. https://doi.org/10.1016/j.jretconser.2017.06.010
  74. Van Reijmersdal, E. A., Rozendaal, E., & Buijzen, M. (2012). Effects of Prominence, Involvement, and Persuasion Knowledge on Children’s Cognitive and Affective Responses to Advergames. Journal of Interactive Marketing, 26(1). https://doi.org/10.1016/j.intmar.2011.04.005
  75. Wei, M. L., Fischer, E., & Main, K. J. (2008). An examination of the effects of activating persuasion knowledge on consumer response to brands engaging in covert marketing. Journal of Public Policy and Marketing, 27(1). https://doi.org/10.1509/jppm.27.1.34
  76. White, T. B., Zahay, D. L., Thorbjørnsen, H., & Shavitt, S. (2008). Getting too personal: Reactance to highly personalized email solicitations. Marketing Letters, 19(1). https://doi.org/10.1007/s11002-007-9027-9
  77. Youn, S., & Kim, S. (2019). Newsfeed native advertising on Facebook: young millennials’ knowledge, pet peeves, reactance and ad avoidance. International Journal of Advertising, 38(5). https://doi.org/10.1080/02650487.2019.1575109
  78. Youn, S., & Shin, W. (2019). Teens’ responses to Facebook newsfeed advertising: The effects of cognitive appraisal and social influence on privacy concerns and coping strategies. Telematics and Informatics, 38. https://doi.org/10.1016/j.tele.2019.02.001
  79. Ying, L., Korneliussen, T., & Grønhaug, K. (2009). The effect of ad value, ad placement and ad execution on the perceived instrusiveness of web advertisements. International Journal of Advertising, 28(4). https://doi.org/10.2501/s0265048709200795

Author's Affiliation

   Farah Azka Niarossa
Master of Management Program, Universitas Sebelas Maret, Indonesia

   Budhi Haryanto
Master of Management Program, Universitas Sebelas Maret, Indonesia

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Farah Azka Niarossa, Budhi Haryanto, 2025

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The Influence of Consumer Persuasion Knowledge in the Context of Online Targeted Advertising (OTA) on Ad Intrusiveness and Privacy Concerns: The Emergence of Ad Avoidance Behavior. Farah Azka Niarossa, Budhi Haryanto, 8(3), 1168-1181. Retrieved from https://ijcsrr.org/single-view/?id=21670&pid=21541

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