Ongoing Information Search Motivation: An Influencer of Users’ Approval of Facebook Banner Adverts
DOI:
https://doi.org/10.52633/jms.v3i3.119Keywords:
Facebook, Ongoing Information Search Motivation (OISM), Informativeness, Customer Attitude, Banner Advertising, Ad-ClickAbstract
Facebook is a leading social network site worldwide and Facebook users use this social medium for several interactional reasons like to socialize or access and share informative content with others. Several users participate in Facebook to fulfil their ongoing information needs. The current research investigates the ongoing information search motivation (OISM) as an influencer of users’ approval of Facebook banner advertising. To investigate the study phenomenon, primary data was collected through online survey questionnaires from 230 Facebook users in Pakistan. Structural Equation Modeling was conducted to examine the construct validity and to test the model and hypotheses. The results showed OISM as an important influencer of users’ attitude towards Facebook banner advertising. Moreover, the analysis also revealed that the Facebook banner ad informativeness mediated the relationship between users’ OISM and their attitudes toward Facebook banner advertising. Additionally, attitude towards Facebook banner advertising was also found to be influencing the users’ Facebook banner ad-click behavior. These findings can be beneficial to social media marketers and marketing managers to organize user-relevant Facebook banner ad content. The study findings can specifically be implied to social media customers in Pakistan.
References
Alarcón-del-Amo, M. C., Rialp, A., & Rialp, J. (2016). Social media adoption by exporters: The export-dependence moderating role. Spanish Journal of Marketing – ESIC, 20(2), 81-92. DOI: https://doi.org/10.1016/j.sjme.2016.07.002
Alwitt, L. F. & Prabhaker, P. R. (1992). Functional and belief dimensions of attitudes to
television advertising: implications for copy testing. Journal of Advertising Research,
September/October, 30-42.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. DOI: http://dx.doi.org/10.1037/0033-2909.103.3.411
Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48(1),79-95. DOI: https://doi.org/10.1007/s11747-019-00695-1
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 & Research in Advertising, 37(1), 1-14. DOI: https://doi.org/10.1080/10641734.2015.1119765
Bloch, P. H., Sherrell, D. L., & Ridgway, N. M. (1986). Consumer search: An extended framework. Journal of Consumer Research, 13(1), 119-126. DOI: http://dx.doi.org/10.1086/209052
Briggs, R., & Hollis, N. (1997). Advertising on the Web: Is there response before click-through? Journal of Advertising Research, 37(2), 33-45.
Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210-230. DOI: 10.1111/j.1083-6101.2007.00393.x
Buami, E. K. (2014). Social networking site as platform for advertisement: Does it really work? International Journal of ICT and Management, 2(1), 40-47.
Byrne, B. M. (2001). Structural Equation Modeling with AMOS: Basic concepts, applications, and programming. Lawrence Erlbaum Associates, New Jersey.
Celebi, S. I. (2015). How do motives affect attitudes and behaviors toward internet advertising and Facebook advertising? Computers in Human Behavior, 51(October), 312-324.
Cho, C-H. (2003). Factors influencing clicking of banner ads on the www. Cyber Psychology & Behaviour, 6(2), 201-15.
Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of Advertising Research, 36(5), 21–35.
Duckworth, K. L., Bargh, J. A., Garcia, M., & Chaiken, S. (2002). The automatic evaluation of novel stimuli. Psychological Science, 13(6), 513-519. https://doi.org/10.1111/1467-9280.00490
Eid, M., Nusairat, N., Alkailani, M & Al-Ghadeer, H. (2020). Internet users’ attitudes towards social media advertisements: The role of advertisement design and users’ motives. Management Science Letters, 10(10), 2361-2370.
Ellison, N. B., Vitak, J., Gray, R., & Lampe, C. (2014). Cultivating social resources on social network sites: Facebook relationship maintenance behaviors and their role in social capital processes. Journal of Computer-Mediated Communication, 19(4), 855–870, https://doi.org/10.1111/jcc4.12078.
Erdem, S., Durmuş, B., & Özdemir, O. (2017). The Relationship with Ad Clicks and Purchase Intention: An Empirical Study of Online Consumer Behaviour. European Journal of Economics and Business Studies, 3(3), 25-33. DOI: 10.26417/ejes.v9i1.p25-33
Farris, P. W., Bendle, N. T., Pfeifer, P. E., & Reibstein, D. J. (2010). Marketing Metrics: The definitive guide to measuring marketing performance. Upper Saddle River, New Jersey: Pearson Education.
Ferris, A. L., & Hollenbaugh, E.E. (2018). A Uses and Gratifications Approach to Exploring Antecedents to Facebook Dependency. Journal of Broadcasting & Electronic Media, 62(1), 51-70.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Reading, MA: Addison-Wesley.
Fodness, D., & Murray, B. (1999). A model of tourist information search behavior. Journal of Travel Research, 37(3), 220-230.DOI: https://doi.org/10.1177/004728759903700302
Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. DOI: 10.2307/3151312
Fortune.com (2017). Facebook now has an almost advertising-only business model. Retrieved from https://fortune.com/2017/05/05/facebook-digital-advertising-business-model/.
Gaber, H. R., Wright, L. T., & Kooli, K. (2019). Consumer attitudes towards Instagram advertisements in Egypt: The role of the perceived advertising value and personalization. Cogent Business & Management, 6(1), 1-13. https://doi.org/10.1080/23311975.2019.1618431
Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective. Upper Saddle River, NJ: Pearson.
Heinonen, K. (2011). Consumer activity in social media: Managerial approaches to consumers' social media behavior. Journal of Consumer Behaviour, 10(6), 356-364.DOI: https://doi.org/10.1002/cb.376
Hinkin, T. R. (1995). A Review of scale development practices in the study of organization. Journal of Management, 21(5), 967-988. DOI: 10.1177/014920639502100509
Hirschman, E. C., & Wallendorf, M. R. (1982). Motive under-lying marketing information acquisition and transfer. Journal of Advertising, 11(2), 25-31.
Hoe, S. L. (2008). Issues and procedures in adopting structural equation modeling technique”, Journal of Applied Quantitative Methods, 3(1), 76-83.
Hossain, M. A. (2019). Effects of uses and gratifications on social media use. The Facebook case with multiple mediator analysis. PSU Research Review, 3(1), 16-28.
Jambulingam, M., Dorasamy, M., Balasundrasun, N.L., & Matiah, J. (2019). The Structural Relationship Between Like Clicks and Purchase Intention on Facebook Advertisements Among Millennials. Academy of Entrepreneurship Journal, 25(4), 1-10.
Johnston, M. (2021). Facebook generates most of its revenue from selling advertising space. Retrieved from: https://www.investopedia.com/ask/answers/120114/how-does-facebook-fb-make-money.asp. Retrieved on 31/08/2021.
Kaspar, K., Weber, S.L., & Wilbers, A-K (2019). Personally relevant online advertisements: Effects of demographic targeting on visual attention and brand evaluation. PLOS ONE, 14(2), 1-18. DOI: https://doi.org/10.1371/journal.pone.0212419
Katz, E. (1959). Mass communications research and the study of popular culture: An editorial note on a possible future for this journal. Departmental Papers (ASC), 1-6. http://repository.upenn.edu/cgi/viewcontent.cgi?article=1168&context=asc_papers
Katz, E., Blumler, J. G., & Gurevitch, M. (1973-1974). Uses and gratifications research. The Public Opinion Quarterly, 37(4), 509-523.
Kim, Y., Kang, M., Choi. S. M., & Sung, Y. (2016). To click or not to click? Investigating antecedents of advertisement clicking on Facebook. Social Behavior and Personality, 2016, 44(4), 657–668. DOI: https://doi.org/10.2224/sbp.2016.44.4.657
Kuss, D. J., & Griffiths, M. D. (2011). Online social networking and addiction: A review of the psychological literature. International Journal of Environmental Research and Public Health, 8(9), 3528-3552. DOI:10.3390/ijerph8093528
Logan, K., Bright, L. F., & Gangadharbatla, H. (2012). Facebook versus television: advertising value perceptions among females. Journal of Research in Interactive Marketing. 6(3), 164-179.
Mason, A. N., Narcum, J., & Mason, K. (2021). Social Media Marketing gains importance after Covid-19. Cogent Business & Management, 8(1), 1-17.
Mir, I. A. (2021). A motivational cognitive mechanism model of online social network advertising acceptance: The role of pre-purchase and ongoing information seeking motivations. Journal of Creative Communications, August 1-17.
Mir, I.A. (2018). Dimensionality and effects of information motivation on user acceptance of online social network advertising. RAE-Revista de Administração de Empresas, 58(2), 174-187. DOI: 10.1590/s0034-759020180206
Mir, I. A. (2017). Users on social network sites: Flight from reality and its effects on acceptance of social network advertising. A gratification perspective. Journal of Creative Communications, 12(2), 1-24. DOI: 10.1177/0973258617708367
Mir, I. (2015). Effects of beliefs and concerns on user attitudes toward online social network advertising and their ad clicking behavior. Journal of Internet Banking and Commerce, 20(2), 1-24. DOI: 10.4172/1204-5357.1000116
Mir, I. A. (2014). Effects of pre-purchase search motivation on user attitudes toward online social network advertising: A case of university students. Journal of Competitiveness, 6(2), 42-55. DOI: http://dx.doi.org/10.7441/joc.2014.02.04
Mukherjee, K., & Banerjee, N. (2017). Effect of social networking advertisements on shaping consumers’ attitude. Global Business Review, 18(5), 1291-1306. https://doi.org/10.1177/0972150917710153
Noguti, V., & David S. Waller, D. S. (2020). Motivations to use social media: effects on the perceived informativeness, entertainment, and intrusiveness of paid mobile advertising. Journal of Marketing Management, 36(15-16), 1527-1555. https://doi.org/10.1080/0267257X.2020.1799062
Omnicore (2021). Facebook by the Numbers: Stats, Demographics & Fun Facts. Retrieved from: https://www.omnicoreagency.com/facebook-statistics/. Retrieved on 31/08/2021.
Park, N., Kee, K. F., & Valenzuela, S. (2009). Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. Cyberpsychology & Behaviour, 12(6), 729-733. DOI:10.1089/cpb.2009.0003
Patton, M. Q. (2002). Qualitative evaluation and research methods (3rd ed.). Thousand Oaks, CA: Sage Publications.
Pertegal, M-A., Oliva, A., & Rodrıguez-Meirinhos, A. (2019). Development and validation of the scale of motives for using social networking sites (SMU-SNS) for adolescents and youths. PLoS ONE, 14(12), 1-21. DOI: https://doi.org/ 10.1371/journal.pone.0225781
Plume, C. J., & Slade, E. L. (2018). Sharing of Sponsored Advertisements on Social Media: A Uses and Gratifications Perspective. Information Systems Frontiers, 20, 471-483.
Quan-Haase, A., & Young, A. L. (2010). Uses and Gratifications of Social Media: A Comparison of Facebook and Instant Messaging. Bulletin of Science, Technology & Society, 30(5), 350-361.
Robinson, H., Wysocka, A., & Hand, C. (2007). Internet advertising effectiveness: The effect of design on click-through rates for banner ads. International Journal of Advertising, 26(4), 527-541. DOI: https://doi.org/10.1080/02650487.2007.11073031
Rodríguez-Ardura, I., & Meseguer-Artola, A. (2020). A PLS-neural network analysis of motivational orientations leading to Facebook engagement and the moderating roles of flow and age. Frontiers in Psychology, 11, 1869. DOI=10.3389/fpsyg.2020.01
Severin, W. J., & Tankard, J. W. (1997). Communication theories: Origins, methods and uses in the mass media (4th ed.)., New York: Longman.
Siraj, H., Syed, A. R., & Sultan, M. F. (2021). SMS Advertising & its Impact on Consumer Purchase Intention: A Comparative Study of Adults and Young Consumers in Pakistan. Journal of Marketing Strategies, 3(2), 1-22. https://doi.org/10.52633/jms.v3i2.69
Statcounter.com (2020). Social Media Stats in Pakistan - December 2020. Retrieved from: social media Stats Pakistan | StatCounter Global Stats. Accessed on 5/01/2021.
Stavrianea, A. & Kavoura, N. (2015). Social media’s and online user-generated content’s role in services advertising. In proceeding of international conference on integrated information (IC-ININFO 2014). DOI: 10.1063/1.4907853
Taylor, D. G., Lewin, J. E., & Strutton, D. (2011). Friends, fans, and followers: do ads work on social networks? How gender and age shape receptivity. Journal of Advertising Research, 51(1), 258-275. DOI: 10.2501/JAR-51-1-258-275
Von Abrams, K. (2020). Global social network users 2020. https://www.emarketer.com/content/global-social-network-users-2020.
Zembik, M. (2014). Social media as a source of knowledge for customers and enterprises. Online Journal of Applied Knowledge Management, 2(2), 132-148.
Zhang, J., & Mao, E. (2016). From online motivations to ad clicks and to behavioural intentions: An empirical study of consumer response to social media advertising. Psychology & Marketing, 33(3), 155-164. DOI: https://doi.org/10.1002/mar.20862
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Journal of Marketing Strategies
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright (c) 2024 Authors retain copyright to the content of the articles published in JMS
This work is licensed under a Creative Commons Attribution 4.0 International License.
Ethical standards for publication are maintained by JMS to ensure high-quality scientific publications and public trust
in scientific findings, and that people receive credit for their work and ideas.
The Journal of Marketing Strategies (JMS) follows the Committee on Publication Ethics (COPE) and adheres to its core practices.