By Ron Morrow; Ann Wells; Appropriate Technology Transfer for Rural Areas (Organization)
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A. 001 The results, as shown in Table 2, show that our model to assess competitive technology diffusion is better than the traditional diffusion model with a superior explanatory power. 213, respectively). Note that overall R2 values obtained from this empirical test are lower than those in the existing literature employing Bass model to examine product diffusion. 932 when multi-product interactions and market expansion were incorporated into the model . Figure 2 shows how the estimated trend for C2C e-platform diffusion fits the real growth of the market between 2002 and 2006.
22 C. Zhang et al. 6 Discussion Previous research on multi-product interactions involving competitive technologies has been rare. Moreover, the literature on IT product diffusion is usually limited to the diffusion of a single product. To extend the current research, this study modeled IT product diffusion in a competitive context. Drawing upon the existing theories of innovation diffusion, network effect, and product growth models, we proposed a predictive model and validated it with longitudinal data of e-commerce platforms.
Among them, G-to-G represents a crucial dimension of e-government, entailing electronic data or document gathering, transmittal, organization, archive, dissemination, and sharing by government agencies within the incumbent administrative hierarchy . The core benefits of e-government demand seamless integrations of information support extending above and beyond the existing agency boundaries. Evidently, this reveals the criticality of G-to-G egovernment, which is worthy of our investigative attention.