2012
DOI: 10.1504/ijebr.2012.048776
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Homogenous goods markets: an empirical study of price dispersion on the internet

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Cited by 14 publications
(7 citation statements)
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“…Such data sets may facilitate access to the right information. Moreover, the use of massive data sets crossed with robust data analyses may foster multidisciplinary perspectives, raising new questions and providing new answers [27][28][29]. Classification techniques can be used to go through the large volume of references and allow researchers to save time on this part of their research.…”
Section: Resultsmentioning
confidence: 99%
“…Such data sets may facilitate access to the right information. Moreover, the use of massive data sets crossed with robust data analyses may foster multidisciplinary perspectives, raising new questions and providing new answers [27][28][29]. Classification techniques can be used to go through the large volume of references and allow researchers to save time on this part of their research.…”
Section: Resultsmentioning
confidence: 99%
“…The level of price dispersion is positively related to the price of the product and the number of sellers Warin and Leiter, 2012 Price dispersion on the internet The number of sellers of a given good has a large impact on price dispersion Ba et al, 2012 Online price dispersion The competitive model provides a better explanation of the association between prices and online retailers' service and recognition levels Wu et al, 2015 Explain how price dispersion interacts with other factors in C2C purchase, such as initial trust Price dispersion negatively affects perceived value, whilst, positively affects perceived risk engine (Pricewatch) already plays a dominant role (Ellison and Ellison, 2001). Baye examined the best-selling high-priced consumer electronics products found on the price comparison site Shopper.com (Baye et al, 2004).…”
Section: Research Scope Conclusionmentioning
confidence: 99%
“…In any case, it would be interesting to demonstrate this hierarchy with a competitive keystone-based market structure at the top, then a monopolistic keystone-based market structure, and then a no-keystone-based pure and perfect competition market structure. From an empirical perspective, it would be interesting to look into the use of big data to go this route (Warin and Troadec 2016;Warin and Leiter 2012).…”
Section: Policy Recommendations and Conclusionmentioning
confidence: 99%