Influence of Social Media on Post-Purchase Dissonance : An Empirical Study
DOI:
https://doi.org/10.17010/ijom/2023/v53/i6/172766Keywords:
post-purchase dissonance
, online purchase, social media, cognitive balance, returnsPaper Submission Date
, August 20, 2022, Paper sent back for Revision, April 21, 2023, Paper Acceptance Date, May 15, Paper Published Online, June 15, 2023Abstract
Purpose : Post-purchase dissonance refers to a customer’s dissatisfaction after buying a product or service. This study focused on the role of social media in influencing customer dissonance. The growing online purchases and product returns due to dissatisfaction have increased the importance of post-purchase dissonance. This fact induced us to undertake this study.
Methodology : The data for this study were collected online via a questionnaire using Google Forms. We prepared the questionnaire after carefully reviewing the extant literature. Eight items were adopted from the scale developed by Sweeney et al. (2000). Using R software, multiple regression models were used to analyze the data and test the hypotheses. Finally, a structural equation model was developed to establish the model fit.
Findings : In this study, we found that online purchases by themselves alone did not result in postpurchase dissonance. However, social media has been found to have a significant moderating role in precipitating dissonance.
Practical Implications : The findings of this study are both important and straightforward. Firms should closely monitor social media. Social media can easily sway the cognitive balance that the customers may have reached before making a purchase. With the increased social media usage to check for products before purchases (Mason et al., 2021), it has become all the more important for firms to keep a close watch on social media.
Originality : The study’s originality lies in the fact that the study considered the role of social media, particularly in online purchases..
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AcemoÄŸlu, D., & Ozdaglar, A. (2021, June 30). Misinformation: Strategic sharing, homophily, and endogenous echo chambers. Voxeu. https://voxeu.org/article/misinformation-socialmedia
Al Mamun, A., Che Nawi, N. B., Nasir, N. A., & Fazal, S. A. (2020). Social media and consumer engagement: The case of Malaysian student entrepreneurs. Journal of Asia-Pacific Business, 21(3), 185–206. https://doi.org/10.1080/10599231.2020.1783972
Ali Taha, V., Pencarelli, T., Å kerháková, V., Fedorko, R., & KoÅ¡Ãková, M. (2021). The use of social media and its impact on shopping behavior of Slovak and Italian consumers during COVID-19 pandemic. Sustainability, 13(4), 1710. https://doi.org/10.3390/su13041710
Altay, S., Hacquin, A.-S., & Mercier, H. (2022). Why do so few people share fake news? It hurts their reputation. New Media & Society, 24(6), 1303–1324. https://doi.org/10.1177/1461444820969893
Asada, A., & Ko, Y. J. (2019). Perceived influence of word-of-mouth recommendation on sportwatching behavior: A gender difference perspective. Sport Marketing Quarterly, 28, 135–147. http://doi.org/10.32731/SMQ.283.092019.02
Aydin, G., Uray, N., & Silahtaroglu, G. (2021). How to engage consumers through effective social media use — Guidelines for consumer goods companies from an emerging market. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 768–790. https://doi.org/10.3390/jtaer16040044
Azemi, Y., Ozuem, W., Howell, K. E., & Lancaster, G. (2019). An exploration into the practice of online service failure and recovery strategies in the Balkans. Journal of Business Research, 94, 420–431. https://doi.org/10.1016/j.jbusres.2018.08.035
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037//0022-3514.51.6.1173
Boyarsky, K. (2021, May 6). What is post purchase dissonance? (+ Examples). https://www.wonderment.com/blog/what-is-post-purchase-dissonance-examples
Bulsara, H. P., & Vaghela, P. S. (2022). Millennials’ online purchase intention towards consumer electronics: Empirical evidence from India. Indian Journal of Marketing, 52(2), 53–70. https://doi.org/10.17010/ijom/2022/v52/i2/168154
Carmines, E. G., & McIver, J. D. (1981). Analyzing models with unobserved variables: Analysis of covariance structures. In G. W. Bohrnstedt, & E. F. Borgatta (eds.), Social measurement: Current issues, (pp. 65 – 115). Sage.
Chakraborty, D., & Altekar, S. (2021). What drives people to use grocery apps? The moderating & mediating role of customer involvement and trust. Indian Journal of Marketing, 51(11), 23–37. https://doi.org/10.17010/ijom/2021/v51/i11/166734
Chan, T. K., Cheung, C. M., & Lee, Z. W. (2017). The state of online impulse-buying research: A literature analysis. Information & Management, 54(2), 204–217. https://doi.org/10.1016/j.im.2016.06.001
Currás-Pérez, R., Ruiz-Mafé, C., & Sanz-Blas, S. (2013). Social network loyalty: Evaluating the role of attitude, perceived risk and satisfaction. Online Information Review, 37(1), 61–82. https://doi.org/10.1108/14684521311311630
Dahnil, M. I., Marzuki, K. M., Langgat, J., & Fabeil, N. F. (2014). Factors influencing SMEs adoption of social media marketing. Procedia - Social and Behavioral Sciences, 148, 119–126. https://doi.org/10.1016/j.sbspro.2014.07.025
Deka, P. (2021, June 20). Fake news and social media. Times of India – Readers’ Blog. https://timesofindia.indiatimes.com/readersblog/world-of-words/fake-news-and-socialmedia-33975/x
Effing, R., & Spil, T. A. (2016). The social strategy cone: Towards a framework for evaluating social media strategies. International Journal of Information Management, 36(1), 1–8. https://doi.org/10.1016/j.ijinfomgt.2015.07.009
Elliot, A. J., & Devine, P. G. (1994). On the motivational nature of cognitive dissonance: Dissonance as psychological discomfort. Journal of Personality and Social Psychology, 67(3), 382–394. https://doi.org/10.1037/0022-3514.67.3.382
Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. https://doi.org/10.1037/1082-989X.4.3.272
Gautam, S., Malik, P., & Jain, S. (2022). Role of trusting beliefs and trust in the adoption of online reviews of hotels: Extension of the IAM model. Indian Journal of Marketing, 52(11), 8–25. https://doi.org/10.17010/ijom/2022/v52/i11/172431
Gunelius, S. (2011). 30 minute social media marketing: Step by step techniques to spread the words about your business. McGraw-Hill.
Han, K.-T., Park, E.-C., Kim, J.-H., Kim, S. J., & Park, S. (2014). Is marital status associated with quality of life? Health and Quality of Life Outcomes, 12(1), Article 109. https://doi.org/10.1186/s12955-014-0109-0
Hsu, C.-L., & Lu, H.-P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, 41(7), 853–868. https://doi.org/10.1016/j.im.2003.08.014
Hu, L.-T, & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Indu, Thadikaran, G. B., & Chellaswamy, K. P. (2022). Bridging the digital divide in India: Positive outlook amid COVID-19. Prabandhan: Indian Journal of Management, 15(6), 46–56. https://doi.org/10.17010/pijom/2022/v15i6/170026
Iyengar, S. S., & Lepper, M. R. (2000). When choice is demotivating: Can one desire too much of a good thing? Journal of Personality and Social Psychology, 79(6), 995–1006. https://doi.org/10.1037/0022-3514.79.6.995
Jacobson, J., Gruzd, A., & Hernández-GarcÃa, Ã. (2020). Social media marketing: Who is watching the watchers? Journal of Retailing and Consumer Services, 53, Article 101774. https://doi.org/10.1016/j.jretconser.2019.03.001
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68. https://doi.org/10.1016/j.bushor.2009.09.003
Kar, B., Tripathy, A., & Pathak, M. D. (2022). What causes product returns in online purchases? A review and research agenda. Prabandhan: Indian Journal of Management, 15(4), 46–62. https://doi.org/10.17010/pijom/2022/v15i4/162837
Karatsoli, M., & Nathanail, E. (2020). Examining gender differences of social media use for activity planning and travel choices. European Transport Research Review, 12(1), Article 44. https://doi.org/10.1186/s12544-020-00436-4
Kemp, S. (2021, March 8). Digital 2020: 3.8 billion people use social media. We Are Social. https://wearesocial.com/uk/blog/2020/01/digital-2020-3-8-billion-people-use-social-media/
Keng, C.-J., & Liao, T.-H. (2013). Self-confidence, anxiety, and post-purchase dissonance: A panel study. Journal of Applied Social Psychology, 43(8), 1636–1647. https://doi.org/10.1111/jasp.12116
Kenny, D. A. (2020, June 5). Measuring model fit. http://www.davidakenny.net/cm/fit.htm
Khatri, S., & Kale, S. (2022). Social listening as a marketing strategy to analyze beyond consumer buyology in the OTT industry: A research note. Prabandhan: Indian Journal of Management, 15(1), 53–58. https://doi.org/10.17010/pijom/2022/v15i1/167861
Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54(3), 241–251. https://doi.org/10.1016/j.bushor.2011.01.005
Kim, J.-H., Kim, M., Yoo, J., & Park, M. (2021). Consumer decision-making in a retail store: The role of mental imagery and gender difference. International Journal of Retail & Distribution Management, 49(3), 421–445. https://doi.org/10.1108/IJRDM-10-2019-0353
Kim, S., Park, J., & Lee, Y. (2013). The e-word-of-mouth effect on consumers’ internet shopping behaviour: Focus on apparel products. International Journal of Fashion Design, Technology and Education, 6(3), 160–172. https://doi.org/10.1080/17543266.2013.798355
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). The Guilford Press.
Krasnova, H., Veltri, N. F., Eling, N., & Buxmann, P. (2017). Why men and women continue to use social networking sites: The role of gender differences. The Journal of Strategic Information Systems, 26(4), 261–284. https://doi.org/10.1016/j.jsis.2017.01.004
Krishna, A. (2012). An integrative review of sensory marketing: Engaging the senses to affect perception, judgment, and behavior. Journal of Consumer Psychology, 22(3), 332–351. https://doi.org/10.1016/j.jcps.2011.08.003
Kwun, D. J.-W. (2011). Effects of campus foodservice attributes on perceived value, satisfaction, and consumer attitude: A gender-difference approach. International Journal of Hospitality Management, 30(2), 252–261. https://doi.org/10.1016/j.ijhm.2010.09.001
Lee, J., Park, D.-H., & Han, I. (2008). The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7(3), 341–352. https://doi.org/10.1016/j.elerap.2007.05.004
Lee, L., Inman, J. J., Argo, J. J., Böttger, T., Dholakia, U., Gilbride, T., van Ittersum, K., Kahn, B., Kalra, A., Lehmann, D. R., McAlister, L. M., Shankar, V., & Tsai, C. I. (2018). From browsing to buying and beyond: The needs-adaptive shopper journey model. Journal of the Association for Consumer Research, 3(3), 277–293. https://doi.org/10.1086/698414
Lin, X., & Wang, X. (2020). Examining gender differences in people’s information-sharing decisions on social networking sites. International Journal of Information Management, 50, 45–56. https://doi.org/10.1016/j.ijinfomgt.2019.05.004
Mahadevan, K., & Joshi, S. (2022). Impact of e-service quality dimensions on customer satisfaction and loyalty in online apparel shopping in India. Indian Journal of Marketing, 52(12), 20–38. https://doi.org/10.17010/ijom/2022/v52/i12/172560
Marsh, H. W., & Hocevar, D. (1985). Application of confirmatory factor analysis to the study of self-concept: First-and higher order factor models and their invariance across groups. Psychological Bulletin 97(3), 562–582. https://doi.org/10.1037/0033-2909.97.3.562
Mason, A. N., Narcum, J., & Mason, K. (2021). Social media marketing gains importance after Covid-19. Cogent Business & Management, 8(1), Article 1870797. https://doi.org/10.1080/23311975.2020.1870797
Menon, P. B. (2021). Influence of social media marketing efforts on brand equity and consumer response to branded shoes in India. Indian Journal of Marketing, 51(9), 24–40. https://doi.org/10.17010/ijom/2021/v51/i9/166162
Murman, D. L. (2015). The impact of age on cognition. Seminars in Hearing, 36(3), 111–121. https://doi.org/10.1055/s-0035-1555115
Ngai, E. W., Tao, S. S., & Moon, K. K. (2015). Social media research: Theories, constructs, and conceptual frameworks. International Journal of Information Management, 35(1), 33–44. https://doi.org/10.1016/j.ijinfomgt.2014.09.004
Olejniczak, T. (2017). Post-purchase dissonance – A difficult area of research in Poland. Polish Journal of Natural Sciences, 32(2), 335–342.
Quadros, M. (2020, May 20). 5 social media trends to follow in 2020. Socialbakers. https://www.socialbakers.com/blog/social-media-trends
Sharma, P., Sivakumaran, B., & Marshall, R. (2010). Impulse buying and variety seeking: A traitcorrelates perspective. Journal of Business Research, 63(3), 276–283. https://doi.org/10.1016/j.jbusres.2009.03.013
Siddiqui, A., & Siddiqui, M. (2021). Buy my trust, before I buy your food – Consumers’ insights for online food delivery platforms during the COVID-19 Pandemic. Indian Journal of Marketing, 51(12), 26–40. https://doi.org/10.17010/ijom/2021/v51/i12/167218
Siji, S. (2021). Social commerce of Indian customers: Role of social media usage. Indian Journal of Marketing, 51(8), 26–38. https://doi.org/10.17010/ijom/2021/v51/i8/165760
Singh, B., & Dagur, A. (2022). Understanding influence of social media marketing of masstige fashion brands on generation Z female Indian consumers. Indian Journal of Marketing, 52(5), 8–24. https://doi.org/10.17010/ijom/2022/v52/i5/169414
Srivastava, M., & Fernandes, S. (2022). An empirical study to measure consumer adoption of mobile banking services. International Journal of Public Sector Performance Management, 9 (1–2), 165–189. https://doi.org/10.1504/IJPSPM.2022.10042548
Swaminathan, V., Sorescu, A., Steenkamp, J.-B., O’Guinn, T. C., & Schmitt, B. (2020). Branding in a hyperconnected world: Refocusing theories and rethinking boundaries. Journal of Marketing, 84(2), 24–46. https://doi.org/10.1177/0022242919899905
Sweeney, J. C., Hausknecht, D., & Soutar, G. N. (2000). Cognitive dissonance after purchase: A multidimensional scale. Psychology & Marketing, 17(5), 369–385. https://doi.org/10.1002/(SICI) 1520-6793(200005)17:5<369::AIDMAR1> 3.0.CO;2-G
Tabeck, P. S., & Singh, A. B. (2022). Acceptance of mobile apps among bottom of pyramid customers of urban areas. Indian Journal of Marketing, 52(9), 43–58. https://doi.org/10.17010/ijom/2022/v52/i9/171984
Tsimonis, G., Dimitriadis, S., & Omar, S. (2020). An integrative typology of relational benefits and costs in social media brand pages. International Journal of Market Research, 62(2), 216– 233. https://doi.org/10.1177/1470785318822270
Twenge, J. M., & Martin, G. N. (2020). Gender differences in associations between digital media use and psychological well-being: Evidence from three large datasets. Journal of Adolescence, 79(1), 91–102. https://doi.org/10.1016/j.adolescence.2019.12.018
Verhagen, T., & van Dolen, W. (2011). The influence of online store beliefs on consumer online impulse buying: A model and empirical application. Information & Management, 48(8), 320–327. https://doi.org/10.1016/j.im.2011.08.001
Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151. https://doi.org/10.1126/science.aap9559
Wheaton, B., Muthén, B., Alwin, D. F., & Summers, G. F. (1977). Assessing reliability and stability in panel model. Sociological Methodology, 8, 84–136. https://doi.org/10.2307/270754
Yang, K., & Forney, J. C. (2013). The moderating role of consumer technology anxiety in mobile shopping adoption: Differential effects of facilitating conditions and social influences. Journal of Electronic Commerce Research, 14(4), 334–347.
Yang, Y., & Cho, M. (2000). Effect of word-of-mouth communication on consumer’s attitude change. The Korean Journal of Advertising, 11(3), 7–34.
