Price Dispersion and Differentiation in Online Travel: An Empirical Investigation

By E. Clemons, Il-Horn Hann, Lorin M. Hitt. Management Sciences, 2002

537 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Marketing, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/be01cc738905859f5a5b817cff99b0d68744ad61

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Citations in the corpus

On the Depth and Dynamics of Online Search Behavior (2004, methodology): “A study by Clemons, Hann, and Hitt (2002) of online travel agents again showed high levels of dispersion, even when they controlled statistically for the quality of the booked ticket, using the number of connections and the proximity of a flight to the requested time.”
Can price dispersion in online markets be explained by differences in e-tailer service quality? (2002, background): “They support the general conclusions from online price dispersion studies (e.g., Baye and Morgan 2001; Brynjolfsson and Smith (2000); Clemons, Hann, and Hitt 2002; Erevelles, Rolland and Srinivasan 2001; Pan, Ratchford, and Shankar 2001; Smith, Bailey, and Brynjolfsson 2000; Smith and Brynjolfsson…”
The Effectiveness of Online Shopping Characteristics and Well-Designed Websites on Satisfaction (2012, background): “Online service quality can help online retailers create differentiation, ease price competition, and increase customer satisfaction (Ba and Johansson 2008; Clemons et al. 2002).”
Buyer Search Costs and Endogenous Product Design (2004, background): “The simplest form of the product design problem is whether to position the product at one or the other ideal point depending on the positioning of the competitive product and the cost of design.(4)”
Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales (2011, background): “…competition (Brynjolfsson, Hu, and Rahman 2009), prices and price dispersion (see Brynjolfsson and Smith 2000, Morton, Zettelmeyer, and Silva-Risso 2001, Brown and Goolsbee 2002, Hann, Clemons and Hitt 2003, Clay, Krishnan, Wolff, and Fernandes 2003, Anderson, Fong, Simester and Tucker 2010).”
A Thematic Exploration of Digital, Social Media, and Mobile Marketing: Research Evolution from 2000 to 2015 and an Agenda for Future Inquiry (2016, background): “Moreover, ﬁ rms could decide whether or not to share information about price and quality in ways that helped either themselves of consumers (see, e.g., Clemons, Hann, and Hitt 2002, for a discussion of this decision in online travel).”
Understanding the paradigm shift to computational social science in the presence of big data (2014, unknown): “More recently, the newly-available data have permitted analysis of much more detailed price elasticity dynamics across the online and offline channels, blending the multiple market levels of analysis (citypair and regional comparisons), and the impacts of different product attributes, especially pri”