By Efthimios Bothos, Dimitris Apostolou, Gregoris Mentzas (auth.), Christof Weinhardt, Stefan Luckner, Jochen Stößer (eds.)
This publication constitutes the complaints of the seventh Workshop on E-Business, net 2008, held in Paris, France, on December thirteen, 2008. As a pre-ICIS workshop, it supplied an open discussion board for e-business researchers and practitioners to percentage learn findings, discover novel principles, speak about good fortune tales and classes realized, and map out significant demanding situations in regards to the layout of e-business platforms.
The 17 papers offered have been conscientiously reviewed and chosen from a complete of 31 complete papers and 30 research-in-progress papers which have been permitted for presentation on the workshop from quite a few submissions. the subjects coated are digital markets, digital providers, radio frequency identity, service-oriented architectures, digital groups, and net intelligence.
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Additional resources for Designing E-Business Systems. Markets, Services, and Networks: 7th Workshop on E-Business, WEB 2008, Paris, France, December 13, 2008, Revised Selected Papers
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.