An exploratory study on factors associated with consumers’ post-purchase dissonance of electric vehicles
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DOIhttp://dx.doi.org/10.21511/im.16(4).2020.02
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Article InfoVolume 16 2020, Issue #4, pp. 13-23
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Consumers’ post-purchase dissonance usually instigates after the purchase decisions are considered extremely important for marketers, resulting in severe consequences on consumer satisfaction and switching behavior. The current study aims to investigate the potential effect of consumer knowledge of electric vehicles (EVs), perceived risk, functional characteristics of EVs, attitude towards EVs on consumer post-purchase dissonance. The paper uses a quantitative approach by designing and distributing an online questionnaire to respondents. A total of 268 respondents participated and filled the online questionnaire. The data analysis revealed that functional characteristics emerge to be the leading factor per the consumer’s response, followed by perceived risk. The hypotheses testing results showed that functional characteristics, knowledge, and attitude have a statistically significant effect on post-purchase dissonance while concerning the perceived risk of EV. The results show that it has no statistically significant influence on post-purchase dissonance. Based on the results, it is critical to enhance consumer knowledge about the functional characteristics of electric vehicles to create a positive attitude that contributes to reducing post-purchase dissonance.
- Keywords
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JEL Classification (Paper profile tab)M30, M31
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References54
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Tables4
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Figures1
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- Figure 1. Research model
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- Table 1. Demographic profile of respondents
- Table 2. Mean, loadings, composite reliability, and average variance extracted
- Table 3. Discriminant validity for the measurement model
- Table 4. Results of structural model analysis
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- Aaker, D. A., & McLoughlin, D. (2009). Strategic market management: Global perspectives. Hoboken, NJ: John Wiley & Sons.
- Al-Adamat, A. M., & Al-Adamat, O. A. (2019). Impact of Social Support Resources on Post- Purchase Dissonance: Evidence from Jordan. International Journal of Business and Social Science, 10(1), 53-62.
- Arthi, D., & Mathi, M. K. (2016). Interaction effect of age and type of family on apparel’s post-purchase dissonance of working women. International Journal of Management, Information, Technology, and Engineering, 4(1), 19-24.
- Axsen, J., Hageman, J. T., & Lentz, A. (2012). Lifestyle practices and pro-environmental technology. Ecological Economics, 82(3), 64-74.
- Axsen, J., Langman, B., & Goldberg, S. (2017). Confusion of innovations: Mainstream consumer perceptions and misperceptions of electric-drive vehicles and charging programs in Canada. Energy Research & Social Science, 27, 163-173.
- Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy and Marketing Science, 16(1), 74-94.
- Bennett, R., & Vijaygopal, R. (2018). Consumer attitudes towards electric vehicles: Effects of product user stereotypes and self-image congruence. European Journal of Marketing, 52(3/4), 499-527.
- Bigerna, S., & Micheli, S. (2018). Attitudes toward Electric Vehicles: The Case of Perugia Using a Fuzzy Set Analysis. Sustainability, 10(11), 39-99.
- Bolia, B., Jha, S., & Jha, M. K. (2020). Understanding Cognitive Dissonance of Indian Customers for Financial Products: A Multi-Dimensional Scale Development Approach. Indian Journal of Finance and Banking, 4(1), 20-32.
- Bsisu, K. A., & Bahlawan, M. A. (2019) The Socio-Economic Aspects of Using Electric Vehicles in Jordan. Jordan Journal of Civil Engineering, 13(2), 35-44.
- Chadha, S. K., Kansal, P., & Goel, S. (2018). The Effect of Perception of Complaint Management System on Purchase Intention: The Mediating Role of Cognitive Dissonance. Vision, 22(4), 347-355.
- Chéron, E., & Hayashi, H. (2011). The effect of respondents’ nationality and familiarity with a product category on the importance of product attributes in consumer choice: Globalization and the evaluation of domestic and foreign products. Japanese Psychological Research, 43(4), 183-194.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
- Daziano, R. A., & Chiew, E. (2012). Electric vehicles rising from the dead: Data needs for forecasting consumer response toward sustainable energy sources in personal transportation. Energy Policy, 51, 876-894.
- Degirmenci, K., & Breitner, M. H. (2017). Consumer purchase intentions for electric vehicles: is green more important than price and range? Transportation Research Part D: Transport and Environment, 51, 250-260.
- Dunn, M. G., Murphy, P. E., & Skelly, G. U. (1986). Research note: The influence of perceived risk on brand preference for supermarket products. Journal of Retailing, 62(2), 204-216.
- Festinger, L. (1957). A theory of cognitive dissonance. Stanford, CA: Stanford University Press.
- Festinger, L. (1962). Cognitive Dissonance. Scientific American, 207(4), 93-102.
- Gan, C. C., & Ding, H. T. (2014). Pre-purchase behavior: Is there a cognitive dissonance? Australian Journal of Basic & Applied Sciences, 8(5), 35-40.
- Gobczyński, K., & Leroux, M. (2011). Socio-economic factors influencing the electric vehicle buying process in Iceland (Unpublished BA Thesis). Halmstad University.
- Guo, Y., Liu, Y., Bakker, E. M., Guo, Y., & Lew, M. S. (2018). CNN-RNN: a large-scale hierarchical image classification framework. Multimedia Tools and Applications, 77(8), 1-21.
- Hair, Jr, J. F., Hult, G.T., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
- Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path. In R. R. Sinkovics & P. N. Ghauri (Eds.), New Challenges to International Marketing Vol. 20 (pp. 277-319). Emerald Group Publishing Limited, Bingley.
- Hinojosa, A. S., Gardner, W. L., Walker, H. J., Cogliser, C., & Gullifor, D. (2017). A Review of Cognitive Dissonance Theory in Management Research: Opportunities for Further Development. Journal of Management, 43(1), 170-199.
- Joshi, M., & Singh, V. K. (2017). Data security breach as perceived risk and its influence on consumer purchase decision. Asian Journal of Research in Business Economics and Management, 7(8), 187-196.
- Kline, R. B. (2011). Principles and Practice of Structural Equation Modeling (3rd ed.). Guilford: New York, NY, USA.
- Koller, M., & Salzberger, T. (2007). Cognitive Dissonance as a Relevant Construct throughout the Decision-Making and Consumption Process: An Empirical Investigation Related to a Package Tour. Journal of Customer Behavior, 6(3), 217-227.
- Krause, R. M., Carley, S. R., Lane, B. W., & Graham, J. D. (2013) Perception and reality: public knowledge of plug-in electric vehicles in 21 U.S. cities. Energy Policy, 63, 433-440.
- Krupa, J. S., Rizzo, D. M., Eppstein, M. J., Brad Lanute, D., Gaalema, D. E., Lakkaraju, K., & Warrender, C. E. (2014). Analysis of a consumer survey on plug-in hybrid electric vehicles. Transportation Research Part A: Policy and Practice, 64, 14-31.
- Lazim, N. A., Zuraidah, S., Norhayati, Z., Adaviah, M., Thoo, A., & Siti, R. A. (2020). Measuring Post-purchase Regret and Impulse Buying in Online Shopping Experience from Cognitive Dissonance Theory Perspective. Paper presented at the 6th IEEE International Conference on Information Management (ICIM) 2020.
- Li, W., Long, R., Chen, H., & Geng, J. (2017). Household factors and adopting intention of battery electric vehicles: a multi-group structural equation model analysis among consumers in Jiangsu Province, China. Natural Hazards, 87(2), 945-960.
- Mao, W., & Oppewal, H. (2010). Did I Choose the Right University? How Post-purchase Information Affects Cognitive Dissonance, Satisfaction and Perceived Service Quality. Australasian Marketing Journal (AMJ), 18(1), 28-35.
- Montgomery, C., & Barnes, J. H. (1993). POSTDIS: A short rating scale for measuring post-purchase dissonance. Journal of Customer Satisfaction, Dissatisfaction and Complaining Behavior, 6(5), 204-216.
- Morton, C., Anable, J., & Nelson, J. D. (2016). Assessing the importance of car meanings and attitudes in consumer evaluations of electric vehicles. Energy Efficiency, 9(2), 495-509.
- Powers, T. L., & Jack, E. P. (2013). The influence of cognitive dissonance on retail product returns. Psychology & Marketing, 30(8), 724-735.
- Rasouli, S., & Timmermans, H. (2016). Influence of Social Networks on Latent Choice of Electric Cars: A Mixed Logit Specification Using Experimental Design Data. Networks and Spatial Economics, 16(1), 99-130.
- Reiner, R., & Haas, H. (2015). Stuttgart region- From e-mobility pilot projects to showcase region. In E-Mobility in Europe (pp. 179-186).
- Rezvani, Z., Jansson, J., & Bodin, J. (2015). Advances in consumer electric vehicle adoption research: A review and research agenda. Transportation Research, Part D: Transport and Environment, 34, 122-136.
- Ringle, C. M., Wende, S., & Will, A. (2005). Smart PLS 2.0.
- Safna, N., & Selvarajan, P. (2018). The factors impact on post purchase dissonance of laptop computers among undergraduate students: with special reference to Vavuniya campus of the university of Jaffna, Sri Lanka. International Research Journal of Marketing and Economics, 5(3), 1-14.
- Schuitema, G., Anable, J., Skippon, S., & Kinnear, N. (2013). The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles. Transportation Research Part A: Policy and Practice, 48, 39-49.
- Schumacker, R. E., & Lomax, R. G. (2010). A Beginner’s Guide to Structural Equation Modeling (3rd ed.). Taylor and Francis Group, LLC: Boca Raton, FL, USA.
- Seger-Guttmann, T., Vilnai-Yavetz, I., Wang, C. Y., & Petruzzellis, L. (2018). Illegitimate returns as a trigger for customers’ ethical dissonance. Journal of Retailing and Consumer Services, 45(2), 120-131.
- Sirgy, M., Johar, J., Samli, A., & Claiborne, C. (1991). Self-congruity versus functional congruity: predictors of human behavior. Journal of the Academy of Marketing Science, 19(4), 363-375.
- Smyczek, S. (2002). Dysonans pozakupowy – porażka czy obszar działania firmy. Marketing i Rynek, 9(3), 8-12.
- Soderlund, M., & Gunnarsson, J. (2000). Customer familiarity and its effects on satisfaction and dissatisfaction (SSE/EFI Working Paper Series in Business Administration No. 2000:2). Stockholm School of Economics, Stockholm.
- Sovacool, B., & Hirsh, R. (2009). Beyond batteries: an examination of the benefits and barriers to plug-in hybrid electric vehicles (PHEVs) and a vehicle-to-grid (V2G) transition. Energy Policy, 37(3), 1095-1103.
- Sweeney, J. C., Hausknecht, D., & Soutar, G. N. (2000). Cognitive dissonance after purchase: A multidimensional scale. Psychology and Marketing, 17(5), 369-385.
- Sweeney, J., & Soutar, G. (2006). A Short Form of Sweeney, Hausknecht and Soutar’s Cognitive Dissonance Scale. In J. Kennedy & L. Di Milia (Eds.), Proceedings of the 20th Annual Conference of the Australian and New Zealand Academy of Management. Central Queensland University.
- Taylor, M., & Fujita, K. (2017). Consumer Behavior and the Plug-In Electric Vehicle Purchase Decision Process: A Research Synthesis. Lawrence Berkeley National Laboratory.
- Wang, S., Jing, W., Jun, L., Jinpeng, W., & Liang, L. (2018). Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter? Transportation Research Part A: Policy and Practice, 117, 58-69.
- White, L. V., & Sintov, N. D. (2017). You are what you drive: environmentalist and social innovator symbolism drives electric vehicle adoption intentions. Transportation Research Part A: Policy and Practice, 99, 94-113.
- Wilkins, S., Butt, M. M., & Heffernan, T. (2018). International brand alliances and co-branding: antecedents of cognitive dissonance and student satisfaction with co-branded higher education programs. Journal of Marketing for Higher Education, 28(1), 32-50.
- Yang, S.-C., Chang, R.-M., & Hsu, C.-J. (2019). Post-purchase Dissonance of Mobile Games Consumer. In Multidisciplinary Social Networks Research (pp. 93-105).