![]() Within each of these themes we classify previous research into subthemes, summarize the major findings, and explore future research opportunities within the MOT domain that are relevant to these subthemes. Through our examination of the literature, we identify three emergent themes that can be used to form foundations for future MOT research from an economics of IS perspective: productivity, vertical relations, and platforms. In this article we look at research published over a five-year time span in the economics of information systems (IS) area in four premier journals, including Management Science, Information Systems Research, MIS Quarterly, and Production and Operations Management, to identify research themes that have implications for future research in the area of Management of Technology (MOT). Moreover, although retailers are roughly clustered into three cohorts, they strategize prices across different product items within each cohort. ![]() This is because as more consumers become security conscious, the effects of assurance seals on the price becomes better recognized. The impact of trust assurance seals (e.g., seals of online security and privacy) on price has materialized over the period of 2001–2006. Online retailers are now competing to ship items quicker than rivals and to pass fewer or no shipping costs on to consumers. This strategy has been abandoned, as shown by our results of a 2006 sample. As documented by prior literature and revealed in our 2001 data, higher prices charged by retailers were positively related with longer shipping time. In 2001 online book retailers generally engaged in obfuscation, frustrating consumer search by manipulating shipping options. Our empirical results show that dispersion in prices has remained substantial over the period of 2001–2006, but the driving factors of these variations in price have evolved. online book industry over two time periods, with an aim to understand whether and how the driving factors of price dispersion change over time. In this paper, we examine pricing strategies in the U.S. ![]() Practically, our model yields important recommendations for the online etailing industry and can help an e-tailer to choose a desirable position in the competitive market. In addition, our competitive model is able to predict and explain observations that are seemingly inconsistent with a hedonic model. We empirically test the predictions of this model and find that the model is a viable alternative to the hedonic price model. In this paper, we propose an alternative competitive model, based on online retailers' differentiation, to explain price dispersion. Possible explanations of this price dispersion, derived mainly using hedonic price models, have seen only modest success. However, many studies have subsequently observed the wide price dispersion online, and its existence and persistence has now been well documented. ![]() Because of this, some researchers even predicted, during the early stage of e-commerce, a frictionless economy in which online prices would be driven down to marginal costs. Consumers are more empowered than ever with valuable information such as prices, products, and store ratings. The Internet has changed the nature of doing business as well as the nature of competition in many industries.
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