Evolution of Competitive Landscape in U.S. E-commerce: A Comparative Study on User Growth Models and Consumer Loyalty of Leading Platforms
DOI:
https://doi.org/10.61173/8sn5a418Keywords:
E-commerce, America, Prominent PlatformsAbstract
This study analyzes the recent progression of the U.S. e-commerce market, characterized by sustained rapid growth and continuous innovation. Our study focuses on the competitive evolution of major platforms like Amazon, eBay, Shopify, Walmart, and Target, highlighting significant shifts in user behaviour driven by mobile adoption and omnichannel expectations and corresponding platform strategies like enhanced logistics and personalized marketing. The analysis employs quantitative methods, specifically time-series analysis and comparative visualization, graphing five-year trends in user counts and Gross Merchandise Value (GMV) for leading platforms using data from public filings and market reports. Comparative bar charts illustrate key customer loyalty metrics, including detailed satisfaction ratings and the impact of membership programs on repeat purchase rates. The research details platform-specific competitive advantages, such as Amazon's logistics network or Shopify's ecosystem, and evolving user trends. Our study also underscores the critical necessity for further exploration into future technologies, such as AI applications in personalization, evolving regulatory changes, and long-term shifts in consumer behaviour post-pandemic.
References
[1] E. Brynjolfsson, M.D. Smith, Frictionless commerce? A comparison of Internet and conventional retailers, Manage. Sci. 46 (2000) 563–585.
[2] D.J. Kim, S.W. Shin, J.Y. Moon, A model of online consumer loyalty: integrating trust and switching costs, Int. J. Electron. Commer. 8 (2004) 117–142.
[3] H. Li, J. Zhang, M. Hu, Understanding the drivers of e-commerce platform success: A value-based perspective, Inf. Manage. 54 (2017) 441–452.
[4] P.A. Pavlou, M. Fygenson, Understanding and predicting electronic commerce adoption: An extension of the technology acceptance and planned behavior models, MIS Q. 30 (2006) 115–143.
[5] F.F. Reichheld, W.E. Sasser, Zero defections: Quality comes to services, Harv. Bus. Rev. 68 (1990) 105–111.
[6] R.T. Rust, K.N. Lemon, V.A. Zeithaml, Return on marketing: Using customer equity to optimize marketing strategy, J. Mark. 68 (2004) 109–127.
[7] S. Srinivasan, R. Anderson, A. Ponnavolu, Customer loyalty in e-commerce: An exploration of the impact of trust, satisfaction and commitment, J. Retail. 78 (2002) 45–57.
[8] G.J. Tellis, J.L. Johnson, Disruptive marketing strategy: Creating and dominating new markets, J. Mark. Res. 53 (2016) Dean&Francis ISSN 2959-6130 183–207.
[9] V. Venkatesh, M.G. Morris, G.B. Davis, F.D. Davis, User acceptance of information technology: Toward a unified view, MIS Q. 27 (2003) 425–478.
[10] C.J. Wu, Y.C. Wang, The effects of e-service quality, customer satisfaction, and switching costs on customer loyalty in e-commerce, Electron. Commer. Res. Appl. 13 (2014) 327–336.J. van der Geer, J.A.J. Hanraads, R.A. Lupton, The art of writing a scientific article, J. Sci. Commun. 163 (2000) 51-59.
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