The Internet presents a unique environment in which to study adoption. This is because of its composition of autonomous entities that are otherwise strongly interrelated. Our model of Internet standards adoption (ISA) combines diffusion of innovation and economics of adoption literature to present an integrative model. This model proposes that the adoption of Internet-based standards is dependent upon two dimensions: the usefulness of the features to the potential adopter, and the conduciveness of the environment to adoption of the standard. This model accounts for not only the traditional dichotomous view of adoption, but also includes the notion of 'partial adoption', where both old and new standards can coexist for extended periods of time. As a demonstration, we apply the ISA model to the next generation Internet protocol Internet Protocol version 6 (IPv6). Despite its ostensible superiority, IPv6 has not been widely adopted. In this paper we discuss the reasons why this might be the case. Our analysis also draws wider conclusions about the adoption of Internet standards: in particular, the importance of transitional technologies between the old and new standards and the need for co-ordinated government polices which encourage adoption. Our analysis also indicates that geopolitical boundaries may have a considerable impact on the adoption of Internet standards.
Though the TCO of end-user workstations can always be reduced by sacrificing end-user service, careful planning can reduce the costs without the sacrifice.
Consumer-generated product evaluations posted on online retailer or third party web-sites have been shown to increase buyer trust and aid consumer decision making. These online reviews typically have two components: star ratings and review text. This can communicate a complex, conflicting message to consumers, as the text of a review carries more nuance than what can be communicated through a simple numerical score. Misalignment between the star rating and the text can lead to increased consumer cognitive processing costs, suboptimal purchase decisions, and lower overall utility of the review site. This study seeks to understand where this misalignment is mostly likely to occur. We find that star rating/review text misalignment occurs more often for (1) experience goods, and (2) goods that receive high star ratings. Misalignment is especially pronounced for experience goods with high star ratings.
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