Dynamic pricing with two revenue streams

We study casino revenue management through the pricing of hotel rooms in the presence of gaming revenue, which is random. We identify a stochastic order based on customers’ gaming profiles, from which a monotonic inventory price of rooms is obtained. We develop a threshold-type pricing policy for a...

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Main Authors: Li, Michael Z. F., Zhuang, Weifen
Other Authors: Nanyang Business School
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/98825
http://hdl.handle.net/10220/17115
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-988252023-05-19T06:44:42Z Dynamic pricing with two revenue streams Li, Michael Z. F. Zhuang, Weifen Nanyang Business School DRNTU::Business We study casino revenue management through the pricing of hotel rooms in the presence of gaming revenue, which is random. We identify a stochastic order based on customers’ gaming profiles, from which a monotonic inventory price of rooms is obtained. We develop a threshold-type pricing policy for a special customer segmentation scheme that allows customers’ winning profiles to be ranked in terms of the failure rate order. Our results shed new light on customer valuation and market segmentation. 2013-10-31T03:44:42Z 2019-12-06T20:00:01Z 2013-10-31T03:44:42Z 2019-12-06T20:00:01Z 2012 2012 Journal Article Zhuang, W., & Li, M. Z. F. (2012). Dynamic pricing with two revenue streams. Operations research letters, 40(1), 46-51. 0167-6377 https://hdl.handle.net/10356/98825 http://hdl.handle.net/10220/17115 10.1016/j.orl.2011.10.007 en Operations research letters
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Business
spellingShingle DRNTU::Business
Li, Michael Z. F.
Zhuang, Weifen
Dynamic pricing with two revenue streams
description We study casino revenue management through the pricing of hotel rooms in the presence of gaming revenue, which is random. We identify a stochastic order based on customers’ gaming profiles, from which a monotonic inventory price of rooms is obtained. We develop a threshold-type pricing policy for a special customer segmentation scheme that allows customers’ winning profiles to be ranked in terms of the failure rate order. Our results shed new light on customer valuation and market segmentation.
author2 Nanyang Business School
author_facet Nanyang Business School
Li, Michael Z. F.
Zhuang, Weifen
format Article
author Li, Michael Z. F.
Zhuang, Weifen
author_sort Li, Michael Z. F.
title Dynamic pricing with two revenue streams
title_short Dynamic pricing with two revenue streams
title_full Dynamic pricing with two revenue streams
title_fullStr Dynamic pricing with two revenue streams
title_full_unstemmed Dynamic pricing with two revenue streams
title_sort dynamic pricing with two revenue streams
publishDate 2013
url https://hdl.handle.net/10356/98825
http://hdl.handle.net/10220/17115
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