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A Composite-Model for E-Commerce Diffusion: Integrating Cultural and Socio-Economic Dimensions to the Dynamics of Diffusion

A Composite-Model for E-Commerce Diffusion: Integrating Cultural and Socio-Economic Dimensions to the Dynamics of Diffusion

Alexander Yap, Jayoti Das, John Burbridge, Kathryn Cort
Copyright: © 2008 |Pages: 19
ISBN13: 9781599049397|ISBN10: 1599049392|EISBN13: 9781599049403
DOI: 10.4018/978-1-59904-939-7.ch208
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MLA

Yap, Alexander, et al. "A Composite-Model for E-Commerce Diffusion: Integrating Cultural and Socio-Economic Dimensions to the Dynamics of Diffusion." Global Information Technologies: Concepts, Methodologies, Tools, and Applications, edited by Felix B. Tan, IGI Global, 2008, pp. 2929-2947. https://doi.org/10.4018/978-1-59904-939-7.ch208

APA

Yap, A., Das, J., Burbridge, J., & Cort, K. (2008). A Composite-Model for E-Commerce Diffusion: Integrating Cultural and Socio-Economic Dimensions to the Dynamics of Diffusion. In F. Tan (Ed.), Global Information Technologies: Concepts, Methodologies, Tools, and Applications (pp. 2929-2947). IGI Global. https://doi.org/10.4018/978-1-59904-939-7.ch208

Chicago

Yap, Alexander, et al. "A Composite-Model for E-Commerce Diffusion: Integrating Cultural and Socio-Economic Dimensions to the Dynamics of Diffusion." In Global Information Technologies: Concepts, Methodologies, Tools, and Applications, edited by Felix B. Tan, 2929-2947. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-939-7.ch208

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Abstract

Why are some countries successful with e-commerce while others flounder? The purpose of this article is to study the impact of technology, cultural, and socio-economic factors on the global diffusion of e-commerce. While past studies have focused on technology reasons alone, this research includes cultural and socio-economic factors as well. Having access to the Internet does not necessarily translate to e-commerce usage. Fundamentally, culture and socio-economic factors are pivotal in bridging the gap between Internet usage and e-commerce diffusion. The objective is to provide a model that quantifies the aggregated influences of all factors on global e-commerce diffusion. A cross-country regression model analyzes the determinants of e-commerce diffusion and the results used in a cluster analysis to provide further evidence that the propensity for e-commerce depends on the interplay among the different factors. The results can provide firms with an improved understanding of strategies to employ while implementing e-commerce.

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