Data set choice-based revenue management: Data from a major hotel chain

Manufacturing and Service Operations Management

Volumn 11, Issue 2, 2009, Pages 356-361

  Bodea, Tudor ^a   Ferguson, Mark ^b   Garrow, Laurie ^a  

^a Georgia Institute of Technology   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Empirical research; OM marketing interface; Service operations

Indexed keywords

DATA SETS; EMPIRICAL RESEARCH; OM-MARKETING INTERFACE; PRACTICAL ISSUES; PRODUCT AVAILABILITY; REVENUE MANAGEMENT; SERVICE OPERATIONS;

MANAGEMENT; MARKETING;

HOTELS;

EID: 67649920784     PISSN: 15234614     EISSN: 15265498     Source Type: Journal    
DOI: 10.1287/msom.1080.0231     Document Type: Article

References (23)

1. ActiveState Software Inc. 2007. ActivePerl: Release 5.8.8.820. ActiveState Software Inc., Vancouver, BC, Canada.
2. Besbes, O., A. Zeevi. 2006. Implications of choice model parameter estimation in a competitive environment. Working paper, Stern
3. School of Business, New York University. Boyd, E. A. 2004. Dramatic changes in distribution will require renewed focus on pricing and revenue management models. J. Revenue Pricing Management 3 (1) 100-103.
4. Boyd, E. A., R. Kallesen. 2004. The science of revenue management when passengers purchase the lowest available fare. J. Revenue Pricing Management 3 (2) 171-177.
5. Bront, J. J. M., I. Mendez-Diaz, G. Vulcano. 2007. A column generation algorithm for choice-based network revenue management. Working paper, Stern School of Business, New York University.
6. Dunleavy, H., D. Westermann. 2005. Future of airline revenue management. J. Revenue Pricing Management 3 (4) 380-383.
7. Gallego, G., O. Sahin. 2006. Inter-temporal valuations, product design and revenue management. Working paper, Department of Industrial Engineering and Operations Research, Columbia University, New York.
8. Garrow, L. A., S. P. Jones, R. A. Parker. 2007. How much airline customers are willing to pay: An analysis of price sensitivity in online distribution channels. J. Revenue Pricing Management 6 (1) 1-20.
9. Hornick, S. 2004. Fare play. Airline Bus. 20 72-75.
10. Hu, M., G. Gallego. 2007. Dynamic pricing of perishable assets under competition. Working paper, Department of Industrial Engineering and Operations Research, Columbia University, New York.
11. Lieberman, W. H. 2004. Revenue management trends and opportunities. J. Revenue Pricing Management 3 (1) 91-99.
12. Microsoft Corporation. 2007. Visual Basic. Microsoft Corporation, Redmond, WA.
13. Oliveira, V. M. 2003. Simulating revenue management in an airline market with demand segmentation and strategic interaction. J. Revenue Pricing Management 1 (4) 301.
14. Ratliff, R. 1998. Ideas on overbooking. AGIFORS Reservations and Yield Management Study Group, Melbourne, Australia.
15. SAS Institute Inc. 2007. Statistical Analysis System: Release 9.1. SAS Institute Inc. Cary, NC.
16. StataCorp. 2007. Stata Statistical Software: Release 9.2. StataCorp LP, College Station, TX.
17. Talluri, K. T., G. van Ryzin. 2004. Revenue management under a general discrete choice model of consumer behavior. Management Sci. 50 (1) 15-33.
18. van Ryzin, G. 2005. Models of demand. J. Revenue Pricing Management 4 (2) 204-210.
19. van Ryzin, G., Q. Liu. 2004. On the choice-based linear programming model for network revenue management. Decision, Risk & Operations, Working Papers Series DRO-2004-04, Columbia Business School, New York.
20. van Ryzin, G., G. Vulcano. 2008. Computing virtual nesting controls for network revenue management under customer choice behavior. Manufacturing Service Oper. Management 10 (3) 448-467.
21. van Ryzin, G., G. Vulcano. 2006. Simulation-based optimization of virtual nesting controls for network revenue management. Oper. Res. Forthcoming.
22. Vulcano, G., G. van Ryzin, W. Chaar. 2006. Choice-based revenue management: An empirical study of estimation and optimization. INFORMS Annual Meeting, Pittsburgh.
23. Zhang, D., W. Cooper. 2005. Revenue management for parallel flights with customer-choice behavior. Oper. Res. 53 (3) 415-431.