Login | Register

Repetitive Financial Ads on Social Media Shape Next-Gen Future Financial Experience: Why Financial Experts Should be Alert?

Title:

Repetitive Financial Ads on Social Media Shape Next-Gen Future Financial Experience: Why Financial Experts Should be Alert?

Sharma, Shubham (2024) Repetitive Financial Ads on Social Media Shape Next-Gen Future Financial Experience: Why Financial Experts Should be Alert? Masters thesis, Concordia University.

[thumbnail of Sharma_MSc_S2024.pdf]
Preview
Text (application/pdf)
Sharma_MSc_S2024.pdf - Accepted Version
Available under License Spectrum Terms of Access.
3MB

Abstract

Social media platforms allow financial institutions and advertisers to reach a broad audience and promote their offerings. Consequently, financial ads have become a common feature in social media feeds. Nevertheless, more knowledge is needed regarding the effects of these ads on the Next Gen customer journey (age and culture), who navigates through the complex financial ecosystem trying to make sense of these repetitive financial ads combined with the interference of social media influencers. This qualitative research explores the impact of repetitive financial advertisements on social media and their influence on the general perception of various age groups that compose the Next-Gen. The methodology consisted of an in-depth content analysis of financial influencers on social media and 15 in-depth interviews of participants from different demographic and culture groups who shared their detailed customer journey experiences, including attitudes and perceptions toward repetitive financial ads. The results of this study contribute to providing a better understanding of a) how exposure to repetitive financial ads shapes the customer’s attitude towards financial products and services, b) how variations in perceptions may depend on the customer’s age groups and cultural background, and c) how social media influencers combined with social media platforms selection may impact the customer’s financial literacy and perception on financial products and services. From a managerial perspective, the power of influencers and social media platforms within financial services should be evaluated beyond

robotic information gathered by big data. Although the qualitative research limits the
aggregate results based on the snowball recruitment and the number of interviewees, it enriches the perspective of putting the human first by listening to the storytelling; it is possible to grasp how the customer engages in sharing, reading, and commenting about financial services and products on various social media platforms, and how the customer is influenced by “financial experts” who promote their expertise on these platforms. Ethical guidance is needed at all levels (e.g., customers, financial institutions, financial advertisers, marketers) to develop and achieve social media efficacy while tailoring educative financial communication strategies toward specific age and cultural groups.

Divisions:Concordia University > John Molson School of Business > Marketing
Item Type:Thesis (Masters)
Authors:Sharma, Shubham
Institution:Concordia University
Degree Name:M. Sc.
Program:Marketing
Date:29 January 2024
Thesis Supervisor(s):Paulin, Dr. Michèle and Laroche,, Dr. Michel
Keywords:Qualitative research, financial ads, social media, customer journey, marketing ethics
ID Code:993436
Deposited By: Shubham Sharma
Deposited On:05 Jun 2024 16:26
Last Modified:06 Jun 2024 00:00

References:

Alpert, M. L., Golden, L. L., & Hoyer, W. D. (1983). The impact of repetition on advertisement miscomprehension and effectiveness. Advances in Consumer Research, 10(1).
Anand, P., & Sternthal, B. (1990). Ease of message processing as a moderator of repetition effects in advertising. Journal of Marketing Research, 27(3), 345-353.
Anderson, M., & Jiang, J. (2018). Teens, social media & technology 2018. Pew Research Center, 31(2018), 1673-1689.
Bahadir, B., & Bahadir, S. C. (2020). Financial development and country-level advertising spending: the moderating role of economic development and national culture. Journal of International Marketing, 28(3), 3-20.
Barberá, P., Jost, J. T., Nagler, J., Tucker, J. A., & Bonneau, R. (2015). Tweeting from left to right: Is online political communication more than an echo chamber? Psychological Science, 26(10), 1531-1542.
Batra, R., & Ray, M. L. (1986). Situational effects of advertising repetition: The moderating influence of motivation, ability, and opportunity to respond. Journal of Consumer Research, 12(4), 432-445.
Berger, I. E., & Mitchell, A. A. (1989). The effect of advertising on attitude accessibility, attitude confidence, and the attitude-behavior relationship. Journal of Consumer Research, 16(3), 269-279.
Berlyne, D. E. (1970). Novelty, complexity, and hedonic value. Perception & Psychophysics, 8(5), 279-286.


Bickart, B., & Schindler, R. M. (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15(3), 31-40.
Booth, N., & Matic, J. A. (2011). Mapping and leveraging influencers in social media to shape corporate brand perceptions. Corporate Communications: An International Journal, 16(3), 184-191.
Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer‐mediated Communication, 13(1), 210-230.
Brajnik, G., & Gabrielli, S. (2010). A review of online advertising effects on the user experience. International Journal of Human-Computer Interaction, 26(10), 971- 997.
Cacioppo, J. T., & Petty, R. E. (1979). Effects of message repetition and position on cognitive response, recall, and persuasion. Journal of Personality and Social Psychology, 37(1), 97.
Calder, B. J., & Sternthal, B. (1980). Television commercial wearout: An information processing view. Journal of Marketing Research, 17(2), 173-186.
Carstensen, L. L., Isaacowitz, D. M., & Charles, S. T. (1999). Taking time seriously: A theory of socioemotional selectivity. American Psychologist, 54(3), 165.
Chen, H., De, P., & Hu, Y. J. (2015). IT-enabled broadcasting in social media: An empirical study of artists’ activities and music sales. Information Systems Research, 26(3), 513-531.
Danner, U. N., Aarts, H., & De Vries, N. K. (2008). Habit vs. intention in the prediction of future behaviour: The role of frequency, context stability and mental accessibility of past behaviour. British Journal of Social Psychology, 47(2), 245-265.

Davvetas, V., & Biraglia, A. (2022). The “indie” premium: how independent firms create product value across cultures. International Marketing Review, 39(6), 1353-1389.
De Mooij, M., & Hofstede, G. (2011). Cross-cultural consumer behavior: A review of research findings. Journal of International Consumer Marketing, 23(3-4), 181- 192.
De Mooij, M. (2021). Global marketing and advertising: Understanding cultural paradoxes. Global Marketing and Advertising, 1-100.
Deleersnyder, B., Dekimpe, M. G., Steenkamp, J. B. E., & Leeflang, P. S. (2009). The role of national culture in advertising's sensitivity to business cycles: An investigation across continents. Journal of Marketing Research, 46(5), 623-636.
Fardouly, J., Diedrichs, P. C., Vartanian, L. R., & Halliwell, E. (2015). Social comparisons on social media: The impact of Facebook on young women's body image concerns and mood. Body Image, 13, 38-45.
Ferley, S., Lea, T., & Watson, B. (1999). A comparison of US and Canadian consumers. Journal of Advertising Research, 39(5), 55-66.
Freberg, K., Graham, K., McGaughey, K., & Freberg, L. A. (2011). Who are the social media influencers? A study of public perceptions of personality. Public Relations Review, 37(1), 90-92.
García María José Roa. (2013). Financial education and behavioral finance: new insights into the role of information in financial decisions. Journal of Economic Surveys, 27(2), 297–315.
Gill, A., Heinz, M., Schumacher, H., & Sutter, M. (2020). Trustworthiness in the financial industry. Universität Innsbruck. 84 pp.

Goh, K. Y., Heng, C. S., & Lin, Z. (2013). Social media brand community and consumer behavior: Quantifying the relative impact of user-and marketer- generated content. Information Systems Research, 24(1), 88-107.
Grigorovici, D. M., & Constantin, C. D. (2004). Experiencing interactive advertising beyond rich media: Impacts of ad type and presence on brand effectiveness in 3D gaming immersive virtual environments. Journal of Interactive Advertising, 5(1), 22-36.
Hajli, M. N. (2014). A study of the impact of social media on
consumers. International Journal of Market Research, 56(3), 387-404.
Han, S. P., & Shavitt, S. (1994). Persuasion and culture: Advertising appeals in individualistic and collectivistic societies. Journal of Experimental Social Psychology, 30(4), 326-350.
Heydari, A., Laroche, M., Paulin, M., & Richard, M. O. (2021). Hofstede's individual- level indulgence dimension: Scale development and validation. Journal of Retailing and Consumer Services, 62, 102640.
Hinduja, S., & Patchin, J. W. (2018). Cyberbullying research summary: Cyberbullying and suicide. Online: http://www. cyberbullying. us/myspace_youth_research. pdf.
Hoeken, H., Van den Brandt, C., Crijns, R., Domínguez, N., Hendriks, B., Planken, B., & Starren, M. (2003). International advertising in Western Europe: Should differences in uncertainty avoidance be considered when advertising in Belgium, France, the Netherlands and Spain? Journal of Business Communication (1973), 40(3), 195-216. 
Hofstede, G. (1980). Culture′s consequences: International differences in work-
related values. Beverly Hills, CA: Sage.

Hofstede, G., Hofstede, G. J., & Minkov, M. (1991). Cultures and organizations.

Software of the mind. London: McGraw Hill.

Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviors, institutions, and organizations across nations. Sage Publications, Tilburg University, Netherlands, 616 pp.
Hofstede, G. (2011). Dimensionalizing cultures: The Hofstede model in context. Online Readings in Psychology and Culture, 2(1), 8. https://doi.org/10.9707/2307-0919.1014
Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind, 3rd McGraw Hill. New York.
Hofstede, G. and Hofstede, G.J. (2005). Culture and organizations—Software of the mind: Intercultural cooperation and its importance for survival. 2nd Edition, McGraw Hill, New York.
Hawkins, S. A., & Hoch, S. J. (1992). Low-involvement learning: Memory without evaluation. Journal of Consumer Research, 19(2), 212-225.
Hulland, J. S. (1999). The effects of country-of-brand and brand name on product evaluation and consideration: A cross-country comparison. Journal of International Consumer Marketing, 11(1), 23-40.



Ismael, Z. N. (2022). Marketing strategy: The influence of corporate social responsibility on brand awareness. International Journal of Engineering, Business and Management, 6(5), Sept-Oct. DOI: https://dx.doi.org/10.22161/ijebm.6.5.
Jie, C. (2015). An Empirical study on different tendencies toward indulgence-restraint dimension from the intercultural perspective—In the case of Guangdong Province. Chinese Studies, 4(4), 116. 10.4236/chnstd.2015.44017
Kennedy, Q., Fung, H. H., & Carstensen, L. L. (2001). Aging, time estimation, and emotion. In S.H. McFadden & R. C. Atchley (Eds). Aging and the meaning of time: A multidisciplinary exploration (pp. 51-73). Springer Publishing Company.
Kim, C., Laroche, M., & Joy, A. (1990). An empirical study of the effects of ethnicity on consumption patterns in a bi-cultural environment. ACR North American Advances.
Krasnova, H., Wenninger, H., Widjaja, T., & Buxmann, P. (2013). Envy on Facebook: A hidden threat to users’ life satisfaction? International Conference on Wirtschaftsinformatik (WI), Leipzig, Germany.
Krugman, H. E. (1965). The impact of television advertising: Learning without involvement. Public Opinion Quarterly, 29(3), 349-356.
Laroche, M., Kirpalani, V. H., Pons, F., & Zhou, L. (2001). A model of advertising standardization in multinational corporations. Journal of International Business Studies, 32, 249-266.
Lewandowsky, S., Ecker, U. K., & Cook, J. (2017). Beyond misinformation: Understanding and coping with the “post-truth” era. Journal of Applied Research in Memory and Cognition, 6(4), 353-369.
Li, H., Edwards, S. M., & Lee, J. H. (2002). Measuring the intrusiveness of advertisements: Scale development and validation. Journal of Advertising, 31(2), 37-47.
Liang, T. P., & Turban, E. (2011). Introduction to the special issue social commerce: A research framework for social commerce. International Journal of Electronic Commerce, 16(2), 5-14.

Liu, B. F., Jin, Y., Briones, R., & Kuch, B. (2012). Managing turbulence in the blogosphere: Evaluating the blog-mediated crisis communication model with the American Red Cross. Journal of Public Relations Research, 24(4), 353-370.
Lusardi, A., Mitchell, O. S., & Curto, V. (2010). Financial literacy among the young.

Journal of Consumer Affairs, 44(2), 358-380.

Meyers, C. B. (2017). Social media influencers: A lesson plan for teaching digital advertising media literacy. Advertising & Society Quarterly, 18(2).
Minkov, M. (2007). What makes us different and similar: A new interpretation of the World Values Survey and other cross-cultural data. Sofia, Bulgaria: Klasika y Stil Publishing House. ISBN: 978-954-327-023-1, 240 pp.
Mitchell, A. A., & Olson, J. C. (1977). Cognitive effects of advertising repetition. ACR North American Advances.
Mogaji, E., Czarnecka, B., & Danbury, A. (2018). Emotional appeals in UK business- to-business financial services advertisements. International Journal of Bank Marketing, 36(1), 208-227.

Oetzel, J., Ting-Toomey, S., Masumoto, T., Yokochi, Y., Pan, X., Takai, J., & Wilcox,

R. (2001). Face and facework in conflict: A cross-cultural comparison of China, Germany, Japan, and the United States. Communication Monographs, 68(3), 235-258.
Patwardhan, H., & Balasubramanian, S. K. (2011). Brand romance: a complementary approach to explain emotional attachment toward brands. Journal of Product & Brand Management, 20(4), 297-308.
Pechmann, C., & Stewart, D. W. (1988). Advertising repetition: A critical review of
wearin and wearout. Current Issues and Research in Advertising, 11(1-2), 285- 329.
Putnam, S. P., & Gartstein, M. A. (2017). Aggregate temperament scores from multiple countries: Associations with aggregate personality traits, cultural dimensions, and allelic frequency. Journal of Research in Personality, 67, 157- 170.
Quinn, K. (2018). Cognitive effects of social media use: A case of older adults. Social Media+ Society, 4(3), 2056305118787203.
Reade, J. (2021). Keeping it raw on the ‘gram: Authenticity, relatability and digital intimacy in fitness cultures on Instagram. New Media & Society, 23(3), 535-553.
Reid, L. N., & Soley, L. C. (1983). Decorative models and the readership of magazine ads. Journal of Advertising Research, 23(2), 27-32.
Roth, M. S. (1995). The effects of culture and socioeconomics on the performance of global brand image strategies. Journal of Marketing Research, 32(2), 163-175.

Sarma, A. D., & Choudhury, B. R. (2015). Analysing electronic word-of-mouth (ewom) in social media for consumer insights–a multidisciplinary
approach. International Journal of Science, Technology & Management, 4(1), 978-990.
Sawyer, A. G. (1973). The effects of repetition of refutational and supportive advertising appeals. Journal of Marketing Research, 10(1), 23-33.
Sharma, A., Dwivedi, R., Mariani, M. M., & Islam, T. (2022). Investigating the effect of advertising irritation on digital advertising effectiveness: A moderated mediation model. Technological Forecasting and Social Change, 180, 121731.
Statista Research Department. (2023, August 29). Digital advertising spending worldwide from 2021 to 2026. Retrieved from Statista: https://www.statista.com/statistics/237974/online-advertising-spending-worldwide/
Sulthana, A. N., & Vasantha, S. (2019). Influence of electronic word of mouth eWOM on purchase intention. International Journal of Scientific and Technology Research, 8(10), 1-5.
Triandis, H. C., & Gelfand, M. J. (1998). Converging measurement of horizontal and vertical individualism and collectivism. Journal of Personality and Social Psychology, 74(1), 118-128.
Venaik, S., & Brewer, P. (2010). Avoiding uncertainty in Hofstede and GLOBE.

Journal of International Business Studies, 41, 1294-1315.
Winterich, K. P., Gangwar, M., & Grewal, R. (2018). When celebrities count: Power distance beliefs and celebrity endorsements. Journal of Marketing, 82(3), 70-86.

Wolfe, D. B. (1992). Marketing to boomers and beyond: Strategies for reaching America’s wealthiest market. McGraw-Hill. ISBN-10: 0070714312.
Xie, K., & Lee, Y. J. (2015). Social media and brand purchase: Quantifying the effects of exposures to earned and owned social media activities in a two-stage decision making model. Journal of Management Information Systems, 32(2), 204-238.
Zhang, K. Z., Zhao, S. J., Cheung, C. M., & Lee, M. K. (2014). Examining the influence of online reviews on consumers' decision-making: A heuristic– systematic model. Decision Support Systems, 67, 78-89.
Zielske, H. A. (1959). The remembering and forgetting of advertising. Journal of Marketing, 23(3), 239-243.
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top