ISSN: 2222-6990
Open access
With the rapid growth of online shopping in the United States, particularly on platforms such as Amazon.com, e-commerce retailers are increasingly focusing on strategies to enhance consumers’ perceived value and online purchase intention. Therefore, this study proposes that key marketing factors, namely brand, perceived price, perceived risk, and content quality, can significantly influence consumers’ purchase intention through perceived value, while online promotion is introduced as a moderating variable that strengthens the relationship between perceived value and purchase intention. In this study, these factors are conceptualized as multidimensional stimuli, where perceived price and perceived risk represent cost-related cues, while online promotion and content quality represent marketing communication stimuli, all guided by the Stimulus–Organism–Response (S-O-R) model. Specifically, this research extends the S-O-R framework by positioning perceived value as the core organism that mediates the relationship between external marketing stimuli and online purchase intention. At the same time, online promotion is introduced as a moderating variable that strengthens the relationship between perceived value and purchase intention by enhancing perceived benefits and creating urgency in decision-making. This study aims to provide a clearer understanding of how different e-commerce stimuli interact to shape consumer evaluations and behavioural responses in the context of Amazon.com online shopping. The findings are expected to offer valuable insights for e-commerce platforms, digital marketers, and online sellers in designing more effective marketing strategies that enhance perceived value and ultimately improve consumers’ purchase intention in highly competitive online environments.
Aaker, D. A. (1996). Measuring brand equity across products and markets. California Management Review, 38(3). https://doi.org/10.2307/41165845
Aggarwal, A., & Rahul, M. (2017). Impact of perceived usability and perceived information quality on indian consumer purchase intentions in online shopping: Implication of TAM and S-O-R theory. Int. J. Technology Transfer and Commercialisation.
Bauer, R. A. (1960). Consumer behavior as risk taking. Proceedings of the 43rd National Conference of the American Marketing Assocation, June 15, 16, 17, Chicago, Illinois, 1960.
Blanco-Encomienda, F. J., & Rosillo-Díaz, E. (2025). Exploring brand attitude in e-commerce using the S-O-R model: The role of information quantity, information quality and source credibility. Journal of Product & Brand Management, 34(7), 1041–1055. https://doi.org/10.1108/JPBM-04-2024-5095
Bleier, A., Harmeling, C. M., & Palmatier, R. W. (2019). Creating Effective Online Customer Experiences. Journal of Marketing, 83(2), 98–119. https://doi.org/10.1177/0022242918809930
Chakraborty, U., & Bhat, S. (2018). Credibility of online reviews and its impact on brand image. Management Research Review, 41(1), 148–164. https://doi.org/10.1108/MRR-06-2017-0173
Chang, T.-Z., & Wildt, A. R. (1994). Price, product information, and purchase intention: An empirical study. Journal of the Academy of Marketing Science, 22(1), 16–27. https://doi.org/10.1177/0092070394221002
Chiu, C.-M., Wang, E. T. G., Fang, Y.-H., & Huang, H.-Y. (2014). Understanding customers’ repeat purchase intentions in B2C e-commerce: The roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85–114. https://doi.org/10.1111/j.1365-2575.2012.00407.x
Chung, X. L., Yasmin, F., Haider, S. A., Sinnappan, P., Poulova, P., Baskaran, S., Tehseen, S., & Idris, I. (2025). Impulsive buying behaviour in live-streaming commerce: An application of S-O-R theory. Cogent Social Sciences, 11(1), 2474861. https://doi.org/10.1080/23311886.2025.2474861
Daliri, E., Rezaei, S., & Ismail, W. K. W. (2014). Online social shopping: The impact of attitude, customer information quality, effectiveness of information content and perceived social presence. International Journal of Business Environment, 6(4), 426–450. https://doi.org/10.1504/IJBE.2014.064995
Dean, D. H. (1999). Brand endorsement, popularity, and event sponsorship as advertising cues affecting consumer pre-purchase attitudes. Journal of Advertising, 28(3), 1–12. https://doi.org/10.1080/00913367.1999.10673585
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60
Dodds, W. B., & Monroe, K. B. (1985). The effect of brand and price information on subjective product evaluations. Advances in Consumer Research, 12(1).
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of Marketing Research, 28(3), 307–319.
Dowling, G. R., & Staelin, R. (1994). A model of perceived risk and intended risk-handling activity. Journal of Consumer Research, 21(1), 119–134. https://doi.org/10.1086/209386
Dülek, B., & Ayd?n, ?. (2020). Effect of social media marketing on e-wom, brand loyalty, and purchase intent. Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (20), 271–288. https://doi.org/10.29029/busbed.734350
Erdem, T., & Swait, J. (2004). Brand credibility, brand consideration, and choice. Journal of Consumer Research, 31(1), 191–198. https://doi.org/10.1086/383434
Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in internet shopping. Journal of Business Research, 56(11), 867–875. https://doi.org/10.1016/S0148-2963(01)00273-9
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.
Gupta, S., & Cooper, L. G. (1992). The discounting of discounts and promotion thresholds. Journal of Consumer Research, 19(3), 401–411. https://doi.org/10.1086/209310
Gupta, S., & Kim, H. (2010). Value?driven internet shopping: The mental accounting theory perspective. Psychology & Marketing, 27(1), 13–35. https://doi.org/10.1002/mar.20317
Hanaysha, J. R., Ramadan, H. I., & Alhyasat, K. M. K. (2025). Exploring the impact of customer reviews, website quality, perceived service quality, and product assortment on online purchase intention: The mediating role of trust. Telematics and Informatics Reports, 19, 100236. https://doi.org/10.1016/j.teler.2025.100236
Hasim, M. A., Ishak, M. F., & Hassim, A. A. (2019). The relationship between online shopping environments, sales promotions, website quality, and impulsive buying behaviour: A structural equation modelling approach. International Journal of Innovation, Creativity and Change, 6(9), 215–230. Scopus.
Hsin Chang, H., & Wen Chen, S. (2008). The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator. Online Information Review, 32(6), 818–841. Scopus. https://doi.org/10.1108/14684520810923953
Investing.com. (2025). Amazon statistics in 2025: Facts, users, and market share. https://www.investing.com/academy/statistics/amazon-facts/
Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. ACR Special Volumes.
Jacoby, J., Szybillo, G. J., & Busato-Schach, J. (1977). Information acquisition behavior in brand choice situations. Journal of Consumer Research, 3(4), 209–216. https://doi.org/10.1086/208669
Jayadi, J., Putra, E. I., & Murwani, I. A. (2022). The implementation of S-O-R framework (stimulus, organism, and response) in user behavior analysis of instagram shop features on purchase intention. Scholars Journal of Engineering and Technology, 10(4), 42–53. https://doi.org/10.36347/sjet.2022.v10i04.003
Kim, H., & Niehm, L. S. (2009). The impact of website quality on information quality, value, and loyalty intentions in apparel retailing. Journal of Interactive Marketing, 23(3), 221–233. https://doi.org/10.1016/j.intmar.2009.04.009
Kim, H.-W., & Gupta, S. (2009). A comparison of purchase decision calculus between potential and repeat customers of an online store. Decision Support Systems, 47(4), 477–487. https://doi.org/10.1016/j.dss.2009.04.014
Kotler, P., Keller, K. L., Brady, M., Goodman, M., & Hansen, T. (2016). Marketing management 3rd edn PDF eBook. Pearson Higher Ed.
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.2009.03.003
Lichtenstein, D. R., Ridgway, N. M., & Netemeyer, R. G. (1993). Price perceptions and consumer shopping behavior: A field study. Journal of Marketing Research, 30(2), 234–245.
Liu, C., & Arnett, K. P. (2000). Exploring the factors associated with web site success in the context of electronic commerce. Information & Management, 38(1), 23–33. https://doi.org/10.1016/S0378-7206(00)00049-5
Lu, J., Liu, Y. N., Jing, Q. L., & Zhang, W. G. (2025). Chinese consumers’ perceptions, attitude, and purchase intention of organic products. Appetite, 214, 108142. https://doi.org/10.1016/j.appet.2025.108142
Manorek, S. L. (2016). The influence of brand image, advertising, perceived price toward consumer purchase intention (case study: Samsung smartphone). 16(1).
Mehrabian, A., & Russell, J. A. (1974). The basic emotional impact of environments. Perceptual and Motor Skills, 38(1), 283–301. https://doi.org/10.2466/pms.1974.38.1.283
Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R., & Liébana-Cabanillas, F. (2021). Social commerce website design, perceived value and loyalty behavior intentions: The moderating roles of gender, age and frequency of use. Journal of Retailing and Consumer Services, 63, 102404. https://doi.org/10.1016/j.jretconser.2020.102404
Park, M., & Lennon, S. J. (2009). Brand name and promotion in online shopping contexts. Journal of Fashion Marketing and Management: An International Journal, 13(2), 149. https://doi.org/10.1108/13612020910957680
Stone, R. N., & Grønhaug, K. (1993). Perceived risk: Further considerations for the marketing discipline. European Journal of Marketing, 27(3), 39–50. https://doi.org/10.1108/03090569310026637
TechRT. (2025). Amazon statistics 2025: Growth, users, and market insights. https://techrt.com/amazon-statistics/
Tristanto, S. H., & Iswati, H. (2025). The influence of consumer perception and promotion on purchase intention through perceived value: A case study of depok campus students on a premium FMCG brand. Golden Ratio of Marketing and Applied Psychology of Business, 5(2), 440–453. https://doi.org/10.52970/grmapb.v5i2.1141
Xiao, L., Guo, F., Yu, F., & Liu, S. (2019). The effects of online shopping context cues on consumers’ purchase intention for cross-border E-commerce sustainability. Sustainability, 11(10), 2777. https://doi.org/10.3390/su11102777
Zboja, J. J., & Voorhees, C. M. (2006). The impact of brand trust and satisfaction on retailer repurchase intentions. Journal of Services Marketing, 20(6), 381–390. https://doi.org/10.1108/08876040610691275
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
Zhu, L. L., Li, H., Wang, F.-K., He, W., & Tian, Z. J. (2020). How online reviews affect purchase intention: A new model based on the stimulus-organism-response ( S - O - R ) framework. Aslib Journal of Information Management, 72(4), 463–488. https://doi.org/10.1108/AJIM-11-2019-0308
Zietsman, M. L., Mostert, P., & Svensson, G. (2019). Perceived price and service quality as mediators between price fairness and perceived value in business banking relationships: A micro-enterprise perspective. International Journal of Bank Marketing, 37(1), 2–19. https://doi.org/10.1108/IJBM-07-2017-0144
Jing, L., & Ahmad, F. S. (2026). Online Promotion as a Moderator of Perceived Value and Purchase Intention in Online Shopping: A Preliminary SOR-Based Conceptual Study. International Journal of Academic Research in Business and Social Sciences, 16(4), 1374–1386.
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