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A Composite Model for E-Commerce Diffusion: Revisited

A Composite Model for E-Commerce Diffusion: Revisited

Alexander Y. Yap
Copyright: © 2009 |Pages: 23
ISBN13: 9781605661384|ISBN10: 1605661384|EISBN13: 9781605661391
DOI: 10.4018/978-1-60566-138-4.ch001
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MLA

Yap, Alexander Y. "A Composite Model for E-Commerce Diffusion: Revisited." Handbook of Research on Information Management and the Global Landscape, edited by M. Gordon Hunter and Felix B. Tan, IGI Global, 2009, pp. 1-23. https://doi.org/10.4018/978-1-60566-138-4.ch001

APA

Yap, A. Y. (2009). A Composite Model for E-Commerce Diffusion: Revisited. In M. Hunter & F. Tan (Eds.), Handbook of Research on Information Management and the Global Landscape (pp. 1-23). IGI Global. https://doi.org/10.4018/978-1-60566-138-4.ch001

Chicago

Yap, Alexander Y. "A Composite Model for E-Commerce Diffusion: Revisited." In Handbook of Research on Information Management and the Global Landscape, edited by M. Gordon Hunter and Felix B. Tan, 1-23. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-138-4.ch001

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Abstract

Why are some countries successful with e-commerce while others flounder? This chapter is an update of an earlier research study that the authors conducted to analyze the impact of technology, cultural, and socio-economic factors on the global diffusion of e-commerce. The general thesis of this chapter is that cultural and socio-economic factors in addition to technology were the reasons for the growth of e-commerce within countries. There had been no prior studies that combined the aggregate effects of cultural, socio-economic, and technology factors on e-commerce diffusion. While technology could solely contribute to Internet surfing, culture and socio-economic factors can be pivotal in bridging the gap between Internet usage and e-commerce diffusion. The objective of this research is to provide a model that quantified the aggregated influences of technology, culture, and socio-economic factors on global e-commerce diffusion. In terms of methodology, a cross-country regression model was used to analyze the determinants of e-commerce diffusion and the results provide evidence that the propensity for e-commerce growth can be explained by these factors. The results were aimed at providing firms with a greater understanding of strategies to employ while implementing e-commerce across the world. This paper revisits that publication to see if any changes in the factors have occurred.

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