Examining the Impact of Product Quality, Consumer Experience, and Perceived Value on Customer Loyalty: a Structural Equation Modeling Approach
DOI:
https://doi.org/10.53748/jmis.v2i3.48Keywords:
Consumer Loyalty, Product Quality, Consumer Experience, Perceived Value, Customer SatisfactionAbstract
Purposes - This study aims to investigate the relationships between product quality, consumer experience, satisfaction, perceived value, and loyalty in the consumer goods market. Specifically, it seeks to understand how these variables contribute to fostering consumer loyalty, with a focus on identifying the direct and indirect effects of product quality, value, and experience on consumer loyalty. Methodology - A quantitative research approach was utilized, involving a survey-based data collection method. A structured questionnaire with a ten-point Likert scale was distributed to 250 respondents. The collected data were analyzed using Structural Equation Modeling (SEM) to test seven hypothesized relationships between product quality, value, experience, satisfaction, and loyalty. Findings - The results of the analysis indicate that product quality positively influences consumer experience, perceived value, and loyalty. Additionally, both satisfaction and perceived value were found to have significant positive effects on consumer loyalty. The findings highlight the importance of maintaining high product quality and creating positive consumer experiences to enhance long-term loyalty. Novelty - This research adds value by providing empirical evidence on the mediating roles of satisfaction and perceived value in the relationship between product quality and loyalty. It highlights the interconnectedness of these variables, offering a more comprehensive understanding of the mechanisms that drive consumer loyalty in the consumer goods sector. Research Implications - The findings of this study suggest that businesses should prioritize strategies that enhance product quality and consumer experience to foster loyalty. By focusing on these key areas, companies can effectively increase customer retention and strengthen their competitive position in the market. The study provides actionable insights for managers and marketers seeking to improve long-term consumer commitment.
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References
Abrahamson, E. (2004). MITSloan Management Review. MIT Sloan Management Review, 45(2), 26–32. https://doi.org/10.1371/journal.pone.0015090
Ayağ, Z. (2014). An intelligent approach to prioritize logistics requirements in food industry. International Journal of Supply Chain Management, 3(4), 29–38.
Berry, L. L. (2019). Service innovation is urgent in healthcare. AMS Review, 9(1–2), 78–92. https://doi.org/10.1007/s13162-019-00135-x
Boontarig, W., Chutimaskul, W., Chongsuphajaisiddhi, V., & Papasratorn, B. (2012). Factors influencing the Thai elderly intention to use smartphone for e-Health services. In SHUSER 2012 - 2012 IEEE Symposium on Humanities, Science and Engineering Research (pp. 479–483). https://doi.org/10.1109/SHUSER.2012.6268881
Brettel, M., Friederichsen, N., Keller, M., Rosenberg, M., & Malte Brettel, N. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 perspective. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 8(1), 37–44. https://doi.org/10.1016/j.procir.2015.02.213
Cetin, G., & Dincer, F. I. (2014). Influence of customer experience on loyalty and word-of-mouth in hospitality operations. Anatolia, 25(2), 181–194. https://doi.org/10.1080/13032917.2013.841094
Cunningham, L. F., Young, C. E., & Gerlach, J. (2009). A comparison of consumer views of traditional services and self-service technologies. Journal of Services Marketing, 23(1), 11–23. https://doi.org/10.1108/08876040910933057
Dam, S. M., & Dam, T. C. (2021). Relationships between service quality, brand image, customer satisfaction, and customer loyalty. Journal of Asian Finance, Economics and Business, 8(3), 585–593. https://doi.org/10.13106/jafeb.2021.vol8.no3.0585
Filieri, R. (2015). What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM. Journal of Business Research, 68(6), 1261–1270. https://doi.org/10.1016/j.jbusres.2014.11.006
Hilken, T., de Ruyter, K., Chylinski, M., Mahr, D., & Keeling, D. I. (2017). Augmenting the eye of the beholder: Exploring the strategic potential of augmented reality to enhance online service experiences. Journal of the Academy of Marketing Science, 45(6), 884–905. https://doi.org/10.1007/s11747-017-0541-x
Hoyer, W. D., Kroschke, M., Schmitt, B., Kraume, K., & Shankar, V. (2020). Transforming the customer experience through new technologies. Journal of Interactive Marketing, 51, 57–71. https://doi.org/10.1016/j.intmar.2020.04.001
Hsu, C. L., & Chen, M.-C. (2018). How does gamification improve user experience? An empirical investigation on the antecedents and consequences of user experience and its mediating role. Technological Forecasting and Social Change, 132(November 2017), 118–129. https://doi.org/10.1016/j.techfore.2018.01.023
Kaplan, R. E., & Kaiser, R. B. (2003). Developing versatile leadership. MIT Sloan Management Review, 44(4), 18–26. http://dialnet.unirioja.es/servlet/articulo?codigo=2316408
Lee, M., Lee, S. A., Jeong, M., & Oh, H. (2020). Quality of virtual reality and its impacts on behavioral intention. International Journal of Hospitality Management, 90(June), 102595. https://doi.org/10.1016/j.ijhm.2020.102595
Mangus, S. M., Jones, E., Folse, J. A. G., & Sridhar, S. (2020). The interplay between business and personal trust on relationship performance in conditions of market turbulence. Journal of the Academy of Marketing Science, 48(6), 1138–1155. https://doi.org/10.1007/s11747-020-00722-6
Mende, M., Bolton, R. N., & Bitner, M. J. O. (2013). Decoding customer–firm relationships: How attachment styles help explain customers’ preferences for closeness, repurchase intentions, and changes in relationship breadth. Journal of Marketing Research, 50(February), 125–142. https://doi.org/10.1509/jmr.10.0072
Prayoonphan, F., & Xu, X. (2019). Factors influencing the intention to use the common ticketing system (spider card) in Thailand. Behavioral Sciences, 9(5). https://doi.org/10.3390/bs9050046
Sudbury-Riley, L., Hunter-Jones, P., Al-Abdin, A., Lewin, D., & Naraine, M. V. (2020). The trajectory touchpoint technique: A deep dive methodology for service innovation. Journal of Service Research, 23(2), 229–251. https://doi.org/10.1177/1094670519894642
Svensson, G. (2001). The quality of bi-directional service quality in dyadic service encounters. Journal of Services Marketing, 15(5), 357–378. https://doi.org/10.1108/EUM0000000005658
Zomerdijk, L. G., & Voss, C. A. (2010). Service design for experience-centric services. Journal of Service Research, 13(1), 67–82. https://doi.org/10.1177/1094670509351960
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