Author List: Ba, Sulin; Stallaert, Jan; Zhang, Zhongju (John);
Information Systems Research, 2012, Volume 23, Issue 2, Page 575-592.
The existence and persistence of price dispersion for identical products in online markets have been welldocumented in the literature. Possible explanations of this price dispersion, derived mainly using hedonic price models, have seen only modest success. In this paper, we propose a competitive model based on online retailers' differentiation mainly in service provided and recognition enjoyed to explain price dispersion. Our exploratory empirical analyses, using cross-sectional data, demonstrate that the competitive model provides a better explanation of the association between prices and online retailers' service and recognition levels. In addition, our competitive model is able to explain observations that are seemingly inconsistent with the hedonic model such as the negative association between service and price. This paper contributes to the literature on price dispersion by offering a differentiation model that provides a good fit with data and by proposing a theory that explains previous counterintuitive observations of prices. Our model also helps an e-tailer to choose a desirable position in the competitive market.
Keywords: brand recognition; competitive strategy; e-service; online price dispersion; service quality; vertical differentiation
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#41 0.281 price prices dispersion spot buying good transaction forward retailers commodity pricing collected premium customers using posted relatively obtain listing uncertainty
#242 0.250 market competition competitive network markets firms products competing competitor differentiation advantage competitors presence dominant structure share using incumbent make important
#191 0.197 model models process analysis paper management support used environment decision provides based develop use using help literature mathematical presented formulation
#130 0.075 online users active paper using increasingly informational user data internet overall little various understanding empirical despite lead cascades help availability
#211 0.061 service services delivery quality providers technology information customer business provider asp e-service role variability science propose logic companies especially customers
#285 0.055 effects effect research data studies empirical information literature different interaction analysis implications findings results important set large provide using paper