The Influence of Perceived Value on Purchase Intentions in Online Shopping
Keywords:
Perceived value, purchase intentions, trust, convenience, online shopping, Structural Equation Modeling.Abstract
This research investigates the influence of perceived value on online purchase intentions using Structural Equation Modeling (SEM). The study evaluates the multidimensional nature of perceived value, encompassing utilitarian, hedonic, and social dimensions, and explores the mediating roles of trust and convenience in shaping consumer behavior. Data were collected through a structured survey of 450 active online shoppers in India, with respondents stratified across demographic and geographic profiles. Results reveal that utilitarian value is the most significant predictor of purchase intentions, followed by hedonic and social values. Trust and convenience emerged as critical mediators, amplifying the effects of perceived value dimensions on consumer decisions. Regional variations in perceived value highlight the influence of cultural and infrastructural factors, with respondents from digitally advanced regions demonstrating higher purchase intentions. The study addresses gaps in existing literature by integrating multiple dimensions of perceived value and examining their collective impact, mediated by trust and convenience. Findings emphasize the importance of enhancing practical features like logistics and security while investing in emotional engagement and personalized consumer experiences. The research provides actionable insights for online retailers, emphasizing localized and inclusive strategies to optimize consumer satisfaction and loyalty in competitive digital marketplaces. Broader implications extend to sectors such as education and healthcare, where trust and convenience are equally pivotal in shaping user adoption.
References
Chen, C. C., Hsiao, K. L., & Wu, S. J. (2018). Purchase intention in social commerce: An empirical examination of perceived value and social awareness. Library Hi Tech, 36(4), 583–604. https://doi.org/10.1108/LHT-01-2018-0007
Gan, C., & Wang, W. (2017).The influence of perceived value on purchase intention in social commerce context.Internet Research, 27(4), 772–785. https://doi.org/10.1108/IntR-06-2016-0164
Lai, Y. H. (2015). Enhance online purchase intentions: The role of perceived value, trust, and commitment. Journal of Tourism and Hospitality Management, 3(2), 89–99. Retrieved from http://jthmnet.com/journals/jthm/Vol_3_No_2_December_2015/6.pdf
Mosunmola, A., Omotayo, A., &Mayowa, A. (2018). Assessing the influence of consumer perceived value, trust, and attitude on purchase intention of online shopping. DOI:10.1145/3183586.3183594
Pham, Q. T., Tran, X. P., Misra, S., &Maskeliūnas, R. (2018).Relationship between convenience, perceived value, and repurchase intention in online shopping in Vietnam.Sustainability, 10(1), 156. https://doi.org/10.3390/su10010156
Srivastava, A., Mukherjee, S., &Datta, B. (2023).Impact of perceived value on the online purchase intention of base of the pyramid consumers.International Journal of Consumer Studies, 47(4), 1062–1076. https://doi.org/10.1111/ijcs.12907
Statista.(2023). E-commerce as share of total retail sales worldwide from 2021 to 2027. Retrieved June 2, 2025, from https://www.statista.com/statistics/534123/e-commerce-share-of-retail-sales-worldwide/
Wu, J. F., & Chang, Y. P. (2016). Multichannel integration quality, online perceived value and online purchase intention: A perspective of land-based retailers. Internet Research, 26(5), 1220–1242. https://doi.org/10.1108/IntR-04-2014-0111
Yin, J., &Qiu, X. (2021). AI technology and online purchase intention: Structural equation model based on perceived value. Sustainability, 13(10), 5671. https://doi.org/10.3390/su13105671
Chen, S., & Lee, K. (2008). The role of personality traits and perceived values in persuasion: An elaboration likelihood model perspective on online shopping. Social Behavior and Personality: An International Journal, 36(10), 1379–1399. https://doi.org/10.2224/sbp.2008.36.10.1379.
Sher, P. J., & Lee, S. (2009). Consumer skepticism and online reviews: An elaboration likelihood model perspective. Social Behavior and Personality: An International Journal, 37(1), 137–144. https://doi.org/10.2224/sbp.2009.37.1.137.
Shi, J. (2023). The impact of product placement on the dissemination effectiveness of online education: A case study of science popularization short videos on Bilibili. In Proceedings of the 2023 International Conference on Education and Learning (ICEL 2023).
Luo, X., Cheah, J.-H., &Hollebeek, L. D. (2024). Boosting customers' impulsive buying tendency in live-streaming commerce: The role of customer engagement and deal proneness. Journal of Retailing and Consumer Services, 70, 103–120. https://doi.org/10.1016/j.jretconser.2023.103120
Beatty, S. E., & Ferrell, M. E. (1998). Impulse buying: Modeling its precursors. Journal of Retailing, 74(2), 169–191. https://doi.org/10.1016/S0022-4359(99)80092-X,
Bandyopadhyay, N., Sivakumaran, B., &Patro, S. (2021). Immediate or delayed! Whether various types of consumer sales promotions drive impulse buying?: An empirical investigation. Journal of Retailing and Consumer Services, 61, 102–118. https://doi.org/10.1016/j.jretconser.2021.102118.
Ho, S., &Bodoff, D. (2014). The effects of web personalization on user attitude and behavior: An integration of the elaboration likelihood model and consumer search theory. MIS Quarterly, 38(2), 497–520. https://doi.org/10.25300/MISQ/2014/38.2.09.
Yang, S. (2017).An eye-tracking study of the elaboration likelihood model in online shopping.Electronic Commerce Research and Applications, 23, 1–11. https://doi.org/10.1016/j.elerap.2017.05.002
Lowry, P. B., Moody, G. D., Vance, A., Jensen, M. L., & Jenkins, J. L. (2012).Using an elaboration likelihood approach to better understand the persuasiveness of website privacy assurance cues for online consumers.Journal of the Association for Information Science and Technology, 63(4), 755–776. https://doi.org/10.1002/asi.21683
Gregory, C. K., Meade, A. W., & Thompson, L. F. (2013).Understanding internet recruitment via signaling theory and the elaboration likelihood model.Computers in Human Behavior, 29(5), 1949–1959. https://doi.org/10.1016/j.chb.2013.03.016
Pappas, N. (2016). Marketing strategies, perceived risks, and consumer trust in online behaviour. Journal of Retailing and Consumer Services, 29, 92–103. https://doi.org/10.1016/j.jretconser.2015.11.006
Kawai, F., &Tagg, S. (2017). The construction of online shopping experience: A repertory grid approach. Computers in Human Behavior, 72, 222–232. https://doi.org/10.1016/j.chb.2017.02.043
Stefko, R., Bacik, R., Fedorko, R., &Olearova, M. (2022). Gender-generation characteristic in relation to the customer
behavior and purchasing process in terms of mobile marketing. OeconomiaCopernicana, 13(1), 125–143. https://doi.org/10.24136/oc.2022.007
Eggert, A., Kleinaltenkamp, M., &Kashyap, V. (2019).Mapping value in business markets: An integrative framework.Industrial Marketing Management, 79, 13–20. https://doi.org/10.1016/j.indmarman.2018.12.002
Muzumdar, P. (2021). Impact of review valence and perceived uncertainty on purchase of time-constrained and discounted search goods.arXiv preprint arXiv:2110.09313. https://arxiv.org/abs/2110.09313
Chen, H. (2012). The influence of perceived value and trust on online buying intention.Journal of Computers, 7(7), 1655–1662. https://doi.org/10.4304/jcp.7.7.1655-1662
Chen, S., & Lee, K. (2008). The role of personality traits and perceived values in persuasion: An elaboration likelihood model perspective on online shopping. Social Behavior and Personality: An International Journal, 36(10), 1379–1399. https://doi.org/10.2224/sbp.2008.36.10.1379
Gallarza, M. G., &Saura, I. G. (2006). Value dimensions, perceived value, satisfaction and loyalty: An investigation of university students' travel behaviour. Tourism Management, 27(3), 437–452. https://doi.org/10.1016/j.tourman.2004.12.002
Grewal, D., Monroe, K. B., & Krishnan, R. (1998). The effects of price-comparison advertising on buyers' perceptions of acquisition value, transaction value, and behavioral intentions. Journal of Marketing, 62(2), 46–59. https://doi.org/10.1177/002224299806200204
Holbrook, M. B. (1999). Consumer value: A framework for analysis and research. Routledge.
Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009).The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services.Computers in Human Behavior, 25(4), 887–896. https://doi.org/10.1016/j.chb.2008.12.014.
Lee, C. K., Yoon, Y. S., & Lee, S. K. (2007).Investigating the relationships among perceived value, satisfaction, and recommendations: The case of the Korean DMZ.Tourism Management, 28(1), 204–214. https://doi.org/10.1016/j.tourman.2006.03.007
Mathwick, C., Malhotra, N. K., &Rigdon, E. (2002). The effect of dynamic retail experiences on experiential perceptions of value: An internet and catalog comparison. Pappas, N. (2016).
Marketing strategies, perceived risks, and consumer trust in online behaviour. Journal of Retailing and Consumer Services, 29, 92–103. https://doi.org/10.1016/j.jretconser.2015.11.006Journal of Retailing, 78(1), 51–60. https://doi.org/10.1016/S0022-4359(01)00065-5
Parasuraman, A., &Grewal, D. (2000). The impact of technology on the quality-value-loyalty chain: A research agenda. Journal of the Academy of Marketing Science, 28(1), 168–174. https://doi.org/10.1177/0092070300281015
Petrick, J. F. (2002). Development of a multi-dimensional scale for measuring the perceived value of a service.Journal of Leisure Research, 34(2), 119–134. https://doi.org/10.1080/00222216.2002.11949961
Sánchez, J., Callarisa, L., Rodríguez, R. M., &Moliner, M. A. (2006).Perceived value of the purchase of a tourism product.Tourism Management, 27(3), 394–409. https://doi.org/10.1016/j.tourman.2004.12.007
Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159–170. https://doi.org/10.1016/0148-2963(91)90050-8.
Sweeney, J. C., &Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203–220. https://doi.org/10.1016/S0022-4359(01)00041-X
Vafaei, S. A., &Fekete-Farkas, M. (2017). The effect of social media on customer behaviour and firms' activities. In Management and Organization: Concepts, Tools and Applications (pp. 123–134). Pearson.
Wu, C. H. J., & Liang, R. D. (2009).Effect of experiential value on customer satisfaction with service encounters in luxury-hotel restaurants. International Journal of Hospitality Management, 28(4), 586–593. https://doi.org/10.1016/j.ijhm.2009.02.003
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.1177/002224298805200302
Zeithaml, V. A., Berry, L. L., &Parasuraman, A. (1996).The behavioral consequences of service quality. Journal of Marketing, 60(2), 31–46. https://doi.org/10.2307/1251929.
