Pricing strategies to maximize revenues in the lodging industry
By Michael P. Collins, H. Parsa. 2006
116 citations recorded by the source corpus.
Subfields: Education, Marketing, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4ceaeb060cff839b948cb376f82a0f58501f6bc9
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Citations in the corpus
- Determining guests’ willingness to pay for hotel room attributes with a discrete choice model (2015, methodology): “For example, by comparing the Internet room rates for 10 US cities, Collins and Parsa (2006) identified numerous factors affecting pricing decisions: star rating, management type, location, size and amenities. While a variety of analytical approaches have been employed such as conjoint analysis (Gol”
- Pricing determinants in the hotel industry: Quantile regression analysis (2010, background): “The main disadvantage of cost based pricing is that the unit costs are difficult to access and may result in overpricing or under-pricing problems (Collins and Parsa, 2006).”