Investigating the Effects of Affective and Rational Factors on Reactance to Online Personalized Advertising

Document Type : Original Article

Authors

1 Department of business management, Faculty of management, University of Tehran, Tehran, Iran.

2 Assistant prof. in Business Management, Faculty of Management, University of Tehran, Iran

10.22034/cbsj.2024.63306

Abstract

Providing online personalized advertising (OPA) in the form of targeted content that fits the needs and interests of each user is a suitable response to consumers' exposure to a large number of online advertisements. However, users may perceive OPA differently in terms of benefits and costs and, as a result, show conflicting reactions to them. In this regard, the objective of this research is to study consumer reactance of OPA, based on both affective and rational choice factors. The former includes ownership, vulnerability and joy that are dominants of the latter, which includes perceived costs of non-personalization, privacy concerns and opportunity cost. In order to achieve this purpose, the convenience sampling method has been used to select the statistical sample. The statistical population of this research consists of all the Iranians who has received OPA in the last three months. Using Cochran sampling formula, the number of sample members is calculated to be 384 people. Data collection has been done through field survey using standard online questionnaire and collected data has been analyzed using SPSS and Smart PLS software. The results confirm personalization paradox, by indicating that vulnerability has a significant impact on privacy concerns, which leads to user’s reactance toward online personalized advertising. Meanwhile, the effect of joy on perceived costs of non-personalization modifies the negative attitude toward OPA.

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Main Subjects

References

Adibifard, S., & Ghavidast Kouhpayeh, M. (2019). Identifying factors affecting consumer resistance to online personalized advertising. National Conference on Future Research, Management and Sustainable Development. (In Persian)
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), 34-49. doi: https://doi.org/10.1016/j.jretai.2014.09.005
Ahmadi, A., & Ahmadi, D. (2021). Factors affecting the increase of click-through rate and users' trust in personalized online advertisements. Journal of International Business Administration (JIBA), 4(1), 91-110. (In Persian)
Ahmadi, M., Sohrabi, S., & Tahzibi, S. (2020). The impact of advertising personalization and interaction on the advertising value and purchase intention at DJ Kala Company. Journal of business management, 12(47), 1-24. (In Persian)
Azizinia, M., Ebrahimzadeh, R., & Sadeghi, M. (2021). The Conceptual Model of Personalized Advertising: A Meta-Synthesis Approach. New Marketing Research Journal, 11(3), 175-196. (In Persian)
Baek, T. H., & Morimoto, M. (2012). STAY AWAY FROM ME: Examining the Determinants of Consumer Avoidance of Personalized Advertising. Journal of Advertising, 41, 59-76. doi: 10.2307/23208321
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, 4,100-144. doi: https://doi.org/10.1016/j.chbr.2021.100144
Brinson, N., Eastin, M., & Bright, L. (2018). Advertising in a Quantified World: A Proposed Model of Consumer Trust, Attitude Toward Personalized Advertising And Outcome Expectancies. Journal of Current Issues & Research in Advertising, 40, 1-18. doi: 10.1080/10641734.2018.1503108
Brinson, N., Eastin, M., & Cicchirillo, V. (2018). Reactance to Personalization: Understanding the Drivers Behind the Growth of Ad Blocking. Journal of Interactive Advertising, 18,1-32. doi: 10.1080/15252019.2018.1491350
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, 53-64. doi: https://doi.org/10.1016/j.ijinfomgt.2018.09.001
Davari, A., & Rezazadeh, A. (2013). Structural Eqation Modeling with PLS. Iranian Students Booking Agency. (In Persian)
De Keyzer, F., Dens, N., & De Pelsmacker, P. (2015). Is this for me? How Consumers Respond to Personalized Advertising on Social Network Sites. Journal of Interactive Advertising, 15, 1-11. doi: 10.1080/15252019.2015.1082450
Golchinfar, S., & Bakhtaei, A. (2006). Internet advertising in Iran, challenges and solutions. 3rd International Management Conference, Tehran. (In Persian)
Instagram: distribution of global audiences 2022, by age group. (2022). Retrieved from https://www.statista.com/statistics/325587/instagram-global-age-group/. from S. Dixon
Jalalat, S., & Gholipour Soleimani, A. (2019). The Impact of IT-Based Lifestyle on the Avoidance of Internet Advertising through Explaining the Moderating Role of Negative Experience and Advertisement Congestion. Journal of Business Management, 11(2), 341-356. (In Persian)
Kaffashpur, A., Rahimnia, F., & Nabizadeh, T. (2011). Investigating the Influence of Perceived Value on Users' Attitudes toward Internet Advertisements. New Marketing Research Journal, 1(3), 79-98. (In Persian)
Kannan, P. K., & Li, A. (2017) Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34, 22-45. doi: https://doi.org/10.1016/j.ijresmar.2016.11.006
Kiewiet, J. M. (2021). The immediate gratification bias and online behavioural advertising in a social media context. (Master). University of Groningen.
Lamprinakos, G., Magrizos, S., Kostopoulos, I., Drossos, D., & Santos, D. (2022). Overt and covert customer data collection in online personalized advertising: The role of user emotions. Journal of Business Research, 141, 308-320. doi: https://doi.org/10.1016/j.jbusres.2021.12.025
Lee, Y., & Chen, A. (2012). Usability Design and Psychological Ownership of a Virtual World. J. of Management Information Systems, 28, 269-308. doi: 10.2307/41713849
Li, H., & Nill, A. (2020). Online Behavioral Targeting: Are Knowledgeable Consumers Willing to Sell Their Privacy? Journal of Consumer Policy, 43, 1-23. doi: https://doi.org/10.1007/s10603-020-09469-7
Li, W., & Huang, Z. (2019). The Research of Influence Factors of Online Behavioral Advertising Avoidance. American Journal of Industrial and Business Management, 60, 947-957. doi: 10.4236/ajibm.2016.69092
Lina, L., & Setiyanto, A. (2021). Privacy Concerns in Personalized Advertising Effectiveness on Social Media. Sriwijaya International Journal of Dynamic Economics and Business (SIJDEB), 147-156. doi: https://doi.org/10.29259/sijdeb.v5i2.147-156
Mohsenin, S., & Esfidani, M. R. (2015). Structural equations based on partial least squares approach using Smart-PLS software. Mehraban pub. (In Persian)
Mosadegh, M. J., Movaseghi, M. S., & Raeisi, A. (2018). Personalized advertising and privacy concerns. Journal of Applied Researches in Technical and Engineering, 2(9), 99-141. (In Persian)
Newell, S., & Marabelli, M. (2015). Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of ‘datification’. The Journal of Strategic Information Systems, 24(1), 3-14. doi: http://dx.doi.org/10.1016/j.jsis.2015.02.001.
Noor, U., Awan, T., & Zahid, M. (2019). Examining the impact of personalization on online advertising engagement: Moderating role of privacy concerns of online users. Business Review, 14, 31-46. doi: 10.54784/1990-6587.1016
Pourian, M. T. (2018).Cash Rational choice theory in strategic policy decisions. Quarterly of Political Strategic Studies, 6(23), 209-227. (In Persian)
Rahmani, F., & Faghih, N. (2015). Attracting Electronic Customers; A More Successful (ethic-based) Model. Interdisciplinary Studies in Media and Culture, 5(1), 37-56. (In Persian)
Redondo, I., & Aznar, G. (2021). Responses to anti-adblock filters: theoretical foundations, influential factors, and managerial implications. Journal of Business Economics and Management, 22, 42-60. doi: https://doi.org/10.3846/jbem.2020.13698
Segijn, C. M., & van Ooijen, I. (2020). Differences in consumer knowledge and perceptions of personalized advertising: Comparing online behavioural advertising and synced advertising. Journal of Marketing Communications, 1-20. doi: https://doi.org/10.1080/13527266.2020.1857297
Shekari, A., Mousavi, S. N., & Gholami, A. (2020). Explaining Model of Attitude towards Advertising in Sporting Goods via Instagram Using Technology Acceptance Model. Journal of business management, 12(45), 203-225. (In Persian)
Strycharz, J., Noort, G., Smit, E., & Helberger, N. (2019). Consumer View on Personalized Advertising: Overview of Self-Reported Benefits and Concerns. 53-66.
Tabataei Nasab, S. M., & Parish, F. (2015). Investigating young consumers' attitude towards advertising. Journal of Business Administration Researches, 7(13), 1-23. (In Persian)
Taghavi, H., Jafari, S. M., & Mousavi Sani Baghsiahi, S. M. (2017). The Impact of Cognitive and Affective Factors on Attitude and Acceptance of Mobile Advertising. New Marketing Research Journal, 7(2), 167-192. (In Persian)
Tucker, C. E. (2013). Social Networks, Personalized Advertising, and Privacy Controls. Journal of Marketing Research, 51(5), 546-562. doi: https://doi.org/10.1509/jmr.10.0355
Vilki, A., Amari, H., & Gharebeigloo, H. (2018). Digital marketing and its impact on consumer behavior (case study). Journal of Research in Management and Accounting, 5(16), 25-46. (In Persian)
Walrave, M., Poels, K., Antheunis, M., Van den Broeck, E., & Noort, G. (2016). Like or dislike? Adolescents’ responses to personalized social network site advertising. Journal of Marketing Communications, 24, 1-18. doi: 10.1080/13527266.2016.1182938
Yarahmadi, F., & Yarmohamad Tousky, M. (2018). Investigating the effect of personalized advertisements on the mediating role of privacy concerns on Telegram social network advertisements (case study: Malayer University students). Third International Management Conference, Dynamic Accounting and Auditing. (In Persian)
 
Consumer Behavior Studies Journal
Volume 11, Issue 2
July 2024
Pages 67-89

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