Advance demand and a critical analysis of revenue management

Service Industries Journal

Volumn 27, Issue 5, 2007, Pages 525-548

  Ng, Irene C L ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

CRITICAL ANALYSIS; DEMAND ANALYSIS; FORECASTING METHOD; SERVICE SECTOR; THEORETICAL STUDY; TRADE-OFF;

EID: 34547569348     PISSN: 02642069     EISSN: 17439507     Source Type: Journal    
DOI: 10.1080/02642060701411682     Document Type: Article

References (78)

1. Alstrup, J., Boas, S., Madsen, O. and Vidal, R. (1986) Booking policy for flights with two types of passengers. European Journal of Operations Research, 27, pp. 274-288.
2. Anderson, C. K. and Blair, M. (2004) Performance monitor: The opportunity costs of revenue management. Journal of Revenue and Pricing Management, 2:4, pp. 353-367.
3. Bateson, J. (1977) Do we need service marketing. Marketing Services: New Insights, Marketing Science Institute, Cambridge
4. Belobaba, P. P. (1987) Air travel demand and airline seat inventory management. Doctoral dissertation, Flight Transportation Laboratory, Massachusetts Institute of Technology, Cambridge, MA
5. Belobaba, P. P. (1987) Airline yield management: An overview of seat inventory control. Transportation Science, 21, pp. 63-73.
6. Belobaba, P. P. (1989) Application of a probabilistic decision model to airline seat inventory control. Operations Research, 37, pp. 183-197.
7. Bernstein, P. L. (1996) Against the Gods: A Remarkable Story of Risk, John Wiley and Sons, New York
8. Bertsimas, D. and Perakis, G. (2001) Dynamic pricing: A learning approach. Operations Research Center
9. Bitran, G. and Caldentey, R. (2003) An overview of pricing models for revenue management. Manufacturing and Service Operations Management, 5:3, pp. 203-229.
10. Botimer, T. C. and Belobaba, P. P. (1999) Airline pricing and fare product differentiation: A new theoretical framework. Journal of the Operational Research Society, 50, pp. 1085-1097.
11. Boyd, E. A. (2004) Dramatic changes in distribution will require renewed focus on pricing and revenue management models. Journal of Revenue and Pricing Management, 3:1, pp. 100-103.
12. Boyd, E. A. and Bilegan, I. (2003) Revenue management and e-commerce. Management Science, 49, pp. 1363-1386.
13. Carroll, W. J. and Grimes, R. C. (1995) Evolutionary change in product management: Experiences in the car rental industry. Interfaces, 25:5, pp. 84-104.
14. Cary, D. (2004) A view from the inside. Journal of Revenue and Pricing Management, 3:2, pp. 200-203.
15. Chase Jr, C.W. (1999) Revenue management: A review. Journal of Business Forecasting Methods and Systems, 18:2, pp. 2-28.
16. Cook, P. and Graham, D. A. (1977) The demand for insurance and protection: The case of irreplaceable commodities. Quarterly Journal of Economics, 91, pp. 143-154.
17. Dana, Jr. J.D. (1999) Equilibrium price dispersion under demand uncertainty: The roles of costly capacity and market structure. Rand Journal of Economics, 30:4, pp. 632-660.
18. Desiraju, R. and Shugan, S. M. (1999) Strategic service pricing and yield management. Journal of Marketing, 63, pp. 44-56.
19. Donaghy, K., McMahon, U. and McDowell, D. (1995) Yield management: An overview. International Journal of Hospitality Management, 14:2, pp. 139-150.
20. Donaghy, K., McMahon, U. and McDowell, D. (1997) Implementing yield management: Lesson from the hotel sector. International Journal of Contemporary Hospitality Management, 9:2, pp. 50-54.
21. Edgett, S. and Parkinson, S. (1993) Marketing for service industries - a review. The Service Industries Journal, 13:3, pp. 19-39.
22. Elmaghraby, W. and Keskinocak, P. (2003) Dynamic pricing in the presence of inventory considerations: Research overview, current practices, and future directions. Management Science, 49:10, pp. 1287-1309.
23. Feng, Y. and Gallego, G. (2000) Perishable asset revenue management with Markovian time dependent demand intensities. Management Science, 46:7, pp. 941-956.
24. Fishburn, P. C. (1974) On the foundations of decision making under uncertainty. Essays on Economic Behavior under Uncertainty, Amsterdam: North Holland Publishing Co
25. Fleischmann, M., Hall, J. M. and Pyke, D. F. (2004) Smart pricing. MIT Sloan Management Review, 45:2, pp. 9-13.
26. Gorin, T. and Belobaba, P. (2004) Revenue management performance in a low fare airline environment: Insights from the passenger origin-destination simulator. Journal of Revenue and Pricing Management, 3:3, pp. 215-236.
27. Hersh, M. and Ladany, S. P. (1978) Optimal seat allocation for flights with one intermediate stop. Computers and Operations Research, 5, pp. 31-37.
28. Jagpal, S. (1999) Marketing Strategy and Uncertainty, Oxford University Press, New York
29. Jauncey, S., Mitchell, I. and Slamet, P. (1995) The meaning and management of yield in hotels. International Journal of Contemporary Hospitality Management, 7:4, pp. 23-26.
30. Johnson, E. (1970) The selling of services. Handbook of Modern Marketing, McGraw-Hill, New York
31. Jones, P. (1999) Yield management in UK hotels: A systems analysis. Journal of the Operational Research Society, 50:11, pp. 1111-1119.
32. Kannan, P. K. and Kopalle, P. K. (2001) Dynamic pricing on the internet: importance and implications for consumer behavior. International Journal of Electronic Commerce, 5, pp. 63-84.
33. Karaesmen, I. and van Ryzin, G. (2004) Overbooking with substitutable inventory classes. Operations Research, 52:1, pp. 83-104.
34. Karni, E. (1983) Risk aversion for state-dependent utility functions: measurement and applications. International Economic Review, 24:3, pp. 637-647.
35. Kimes, S. E. (1989) Yield management: A tool for capacity constrained service firms. Journal of Operations Mgmt, 8, pp. 348-363.
36. Kimes, S. E. (1999) Group forecasting accuracy in hotels. Journal of the Operational Research Society, 50, pp. 1104-1110.
37. Kimes, S. E. (2003) Revenue management: A retrospective. Cornell Hotel and Restaurant Administration Quarterly, 30:3, pp. 14-19.
38. Kimes, S. E. and Thompson, G. M. (2004) Restaurant revenue management at Chevys: Determining the best table mix. Decision Sciences, 35:3, pp. 371-392.
39. Kimes, S. E. and Wirtz, J. (2002) Perceived fairness of demand-based pricing for restaurants. Cornell Hotel and Restaurant Administration Quarterly, 43:1, pp. 31-37.
40. Kimes, S. E. and Wirtz, J. (2003) Has revenue management become acceptable? Findings from an international study on the perceived fairness of rate fences. Journal of Service Research, 6:2, pp. 125-135.
41. Kuhlmann, R. (2004) Why is revenue management not working?. Journal of Revenue and Pricing Management, 2:4, pp. 378-387.
42. Lahoti, A. (2002) Why CEOs should care about revenue management: How to minimize the implementation pains and maximize the benefits. OR/MS Today, February
43. Lee, K. S. and Ng, I. C.L. (2001) Advanced sale of service capacities: A theoretical analysis of the impact of price sensitivity on pricing and capacity allocations. Journal of Business Research, 54:3, pp. 219-225.
44. Lieberman, W. H. (1993) Debunking the myths of yield management. Cornell Hotel and Restaurant Administration Quarterly, 34:1, pp. 34-41.
45. Lieberman, V. and Yechiali, U. (1978) On the hotel overbooking problem: an inventory problem with stochastic cancellations. Management Science, 24, pp. 1117-1126.
46. Liebhafsky, H. H. (1968) The Nature of Price Theory,, The Dorsey Press, Inc, Homewood, IL
47. Littlewood, K. (1972) Forecasting and control of passenger bookings, 1972. AGIFORS Symposia, 12, pp. 95-117.
48. Lovelock, C. and Wirtz, J. (2003) Services Marketing: People, Technology, Strategy,, New Jersey: Prentice Hall
49. Martin, B. (1998) The Politics of Research, Information Liberation, Freedom Press, London
50. McGill, J. I. and van Ryzin, G. J. (1999) Revenue management: Research overview and prospects. Transportation Science, 33, pp. 233-256.
51. Nair, S. K. and Bapna, R. (2001) An application of yield management for internet service providers, with Suresh Nair. Naval Research Logistics, 48:5, pp. 348-362.
52. Ng, I. C.L. (2004) The pricing of services: A theoretical framework. Proceedings of the 8th International Research Seminar in Services Management France La Londe, La Londe
53. Ng, I. C.L, Wirtz, J. and Lee, K. S. (1999) The strategic role of unused service capacity. International Journal of Service Industry Management, 10:2, pp. 211-238.
54. Pak, K. and Piersma, N. (2002) Overview of OR techniques for airline revenue management. Statistica Neerlandica, 56:4, pp. 479-495.
55. Pfeifer, P. E. (1989) The airline discount fare allocation problem. Decision Sciences, 20, pp. 149-157.
56. Png, I. P.L. (1989) Reservations: Customer insurance in the marketing of capacity. Marketing Science, 8:3, pp. 248-264.
57. Png, I. P.L. (1991) Most-favored-customer protection versus price discrimination over time. Journal of Political Economy, 99:5, pp. 1010-1028.
58. Radjou, N., Orlov, L. M. and Herbert, L. (2003) Helping Supply Chain Cope with Demand, Forrester Research, Cambridge, MA
59. Rathmell, J. (1966) What is meant by services?. Journal of Marketing, 30:4, pp. 32-36.
60. Regan, W. (1963) The service revolution. Journal of Marketing, 27:3, pp. 57-62.
61. Relihan III, W. J. (1989) The yield management approach to hotel-room pricing. Cornell Hotel and Restaurant Administration Quarterly, pp. 40-45.
62. Rothstein, M. (1971) An airline overbooking model. Transportation Science, 5, pp. 180-192.
63. Rothstein, M. (1974) Hotel overbooking as a Markovian sequential decision process. Decision Sciences, 5, pp. 389-394.
64. Rothstein, M. (1985) Operations research and the airline overbooking problem. Operations Research, 33:2, pp. 237-248.
65. Schumpeter, J. A. (1951) Economic theory and entrepreneurial history. Essays on Economic Topics of Joseph Schumpeter, Kennikat Press, Port Washington, NY
66. Shugan, S. M. and Xie, J. (2000) Advance pricing of services and other implications of separating purchase and consumption. Journal of Service Research, 2:3, pp. 227-239.
67. Subramanian, J., Stidham Jr, S. and Lautenbacher, C. J. (1999) Airline yield management with overbooking, cancellations and no-shows. Transportation Science, 33:2, pp. 147-167.
68. Talluri, K. and van Ryzin, G. (2004) Revenue management under a general discrete choice model of consumer behavior. Management Science, 50, pp. 15-33.
69. Thompson, H. R. (1961) Statistical problems in airline reservation control. Operational Research Quarterly, 12, pp. 167-185.
70. Toh, R. (1985) An inventory depletion overbooking model for the hotel industry. Journal of Travel Research, pp. 24-30.
71. Upchurch, R. S., Ellis, T. and Seo, J. (2002) Revenue management underpinnings: An exploratory review. Hospitality Management, 21, pp. 67-83.
72. Van Ryzin, G. (2005) Future of revenue management: Models of demand. Journal of Revenue and Pricing Management, 4:2, pp. 204-209.
73. Weatherford, L. R. (1997) Using prices more realistically as decision variables in perishable-asset revenue management problems. Journal of Combinational Optimization, 1, pp. 277-304.
74. Weatherford, L. R. and Bodily, S. E. (1992) A taxonomy and research overview of perishable-asset revenue management: Yield management, overbooking, and pricing. Operations Research, 40, pp. 831-844.
75. Williams, L. (1999) Revenue management: Microeconomics and business modeling. Business Economics, 34:2, pp. 39-45.
76. Xie, J. and Shugan, S. M. (2001) Electronic tickets, smart cards and online prepayments: When and how to advance sell. Marketing Science, 20:3, pp. 219-243.
77. Yeoman, I., Ingold, A. and Kimes, S. E. (1999) Yield management: editorial introduction. Journal of Operational Research Society, 50, pp. 1083-1084.
78. Ziya, S., Ayhan, H. and Foley, R. D. (2004) Relationships among three assumptions in revenue management. Operations Research, 52:5, pp. 804-809.