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

doi:10.4018/jgim.2006070102

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

Alexander Y. Yap, Jayoti Das, John Burbridge, Kathryn Cort

Source Title: Journal of Global Information Management (JGIM)14(3)

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MLA

Yap, Alexander Y., et al. "A Composite-Model for E-Commerce Diffusion: Integrating Cultural and Socio-Economic Dimensions to the Dynamics of Diffusion." JGIM vol.14, no.3 2006: pp.17-38. http://doi.org/10.4018/jgim.2006070102

APA

Yap, A. Y., Das, J., Burbridge, J., & Cort, K. (2006). A Composite-Model for E-Commerce Diffusion: Integrating Cultural and Socio-Economic Dimensions to the Dynamics of Diffusion. Journal of Global Information Management (JGIM), 14(3), 17-38. http://doi.org/10.4018/jgim.2006070102

Chicago

Yap, Alexander Y., et al. "A Composite-Model for E-Commerce Diffusion: Integrating Cultural and Socio-Economic Dimensions to the Dynamics of Diffusion," Journal of Global Information Management (JGIM) 14, no.3: 17-38. http://doi.org/10.4018/jgim.2006070102

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

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