Journal of Revenue and Pricing Management

, Volume 7, Issue 2, pp 185–195 | Cite as

An integrated approach towards revenue management

Research Paper
First Online:
Received:
Revised:

Abstract

This paper argues that advanced demand exhibit three characteristics — that of being probabilistic, stochastic and deterministic. Deterministic demand results in revenue management practices being cross-functional. The paper proposes a new revenue management system that integrates four decision sets of the firm: the value set, the segmentation set, the sensitivity set and the forecasting set. An integrated revenue management system also links the concept of capacity to the attributes promised by the firm to the customer. The paper then proposes that service firms that do not sell ‘unitised’ services such as seats or rooms have to define and capture its amorphous capacity and through capacity limitation, create advanced demand and practice strategic revenue management.

Keywords

capacity advanced demand value segmentation sensitivity forecasting 
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References

  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, 274–288.CrossRefGoogle Scholar
  2. Belobaba, P. P. (1987a) ‘Air Travel Demand and Airline Seat Inventory Management’, Doctoral dissertation, Flight Transportation Laboratory, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
  3. Belobaba, P. P. (1987b) ‘Airline yield management: an overview of seat inventory control’, Transportation Science, 21, 63–73.CrossRefGoogle Scholar
  4. Belobaba, P. P. (1989) ‘Application of a probabilistic decision model to airline seat inventory control’, Operations Research, 37, 183–197.CrossRefGoogle Scholar
  5. Bitran, G. and Caldentey, R. (2003) ‘An overview of pricing models for revenue management’, Manufacturing and Service Operations Management, 5, 3, 203–229.CrossRefGoogle Scholar
  6. Bright, K. J., Kiewell, D. and Kincheloe, A. H. (2006) ‘Pricing in a Proliferating World’, McKinsey Quarterly, August, web-edition, http://www.mckinseyquarterly.com/article_page.aspx?ar=1841&L2=16&L3=0 (accessed 2nd January, 2007).
  7. Brown, S., Lamming, R., Bessant, J. and Jones, P. (2005) Strategic Operations Management, 2nd rev edn, Butterworth-Heinemann Ltd, Oxford.Google Scholar
  8. Carroll, W. J. and Grimes, R. C. (1995) ‘Evolutionary change in product management: experiences in the car rental industry’, Interfaces, 25, 5, 84–104.CrossRefGoogle Scholar
  9. Cary, D. (2004) ‘A view from the inside’, Journal of Revenue and Pricing Management, 3, 2, 200–203(4).CrossRefGoogle Scholar
  10. Cook, P. J. and Graham, D. A. (1977) ‘The demand for insurance and protection: the case of irreplaceable commodities’, Quarterly Journal of Economics, 91, (February), 143–154.CrossRefGoogle Scholar
  11. Desiraju, R. and Shugan, S. M. (1999) ‘Strategic service pricing and yield management’, Journal of Marketing, 63, 44–56.CrossRefGoogle Scholar
  12. 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, 1287–1309.CrossRefGoogle Scholar
  13. Fishburn, C. (1974) ‘On the foundations of decision making under uncertainty’, in: Balch, M., McFadden, D. and Wu, S. (eds) Essays on Economic Behavior Under Uncertainty, North Holland Publishing Co., Amsterdam.Google Scholar
  14. Fleischmann, M., Hall, J. M. and Pyke, D. F. (2004) ‘Smart pricing’, MIT Sloan Management Review, 45, 2, 9–13.Google Scholar
  15. Goldratt, E. M. (1990) Theory of Constraints, North River Press, Croton-on-Hudson, NY.Google Scholar
  16. Hersh, M. and Ladany, S. P. (1978) ‘Optimal seat allocation for flights with one intermediate stop’, Computers and Operations Research, 5, 31–37.CrossRefGoogle Scholar
  17. Karaesmen, I. and van Ryzin, G. (2004) ‘Overbooking with substitutable inventory classess’, Operations Research, 52, 1, 83–104.CrossRefGoogle Scholar
  18. Karni, E. (1983) ‘Risk aversion for state-dependent utility functions: measurement and applications’, International Economic Review, 24, 3, 637–647.CrossRefGoogle Scholar
  19. Katz, D. and Kahn, R. L. (1966) The Social Psychology of Organizations, Wiley, New York.Google Scholar
  20. Kimes, S. E. (1989) ‘Yield management: a tool for capacity constrained service firms’, Journal Of Operations Management, 8, 348–363.CrossRefGoogle Scholar
  21. Kimes, S. E. (2003) ‘Revenue management: a retrospective’, Cornell Hotel and Restaurant Administration Quarterly, 30, 3, 14–19.CrossRefGoogle Scholar
  22. Kimes, S. E. and Wirtz, J. (2002) ‘Perceived fairness of demand-based pricing for restaurants’, Cornell Hotel and Restaurant Administration Quarterly, 41, 1, 338.Google Scholar
  23. 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, 125–135.CrossRefGoogle Scholar
  24. Kimes, S. E. and Thompson, G. M. (2004) ‘Restaurant revenue management at Chevys: determining the best table mix’, Decision Sciences, 35, 3, 371–392.CrossRefGoogle Scholar
  25. 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, 219–225.CrossRefGoogle Scholar
  26. Littlewood, K. (1972) ‘Forecasting and control of passenger bookings’, 1972 AGIFORS Symposia, Alliance Group of the International Federation of Operational Research Scientists, Vol. 12, 95–117.Google Scholar
  27. Nair, S. K. and Bapna, R. (2001) ‘An application of yield management for internet service providers, with Suresh Nair’, Naval Research Logistics, 48, 5, 348–362.CrossRefGoogle Scholar
  28. Ng, I. C. L. (2006) ‘Differentiation, self-selection and revenue management’, Journal of Revenue and Pricing Management, 5, 1, 2–9.CrossRefGoogle Scholar
  29. Ng, I. C. L. (2007) ‘Advanced demand and a critical analysis of revenue management’, Service Industries Journal, 27, 5, 525–548.CrossRefGoogle Scholar
  30. Ng, I. C. L. (2008) The Pricing and Revenue Management of Services: A Strategic Approach, Routledge, An Imprint of Taylor and Francis, under the Advances in Business and Management Studies, Hardback, Jul 2007.Google Scholar
  31. Ng, I. C. L. and Yip, N. K. T. (2007) ‘Revenue management on a gaming and holidaying cruise ship: the case of Empress Cruise Lines’, Proceedings of the Tenth Quality in Services Symposium, QUIS 10, 14–17 June, Orlando, Florida.Google Scholar
  32. Pak, K. and Piersma, N. (2002) ‘Overview of OR techniques for airline revenue management’, Statistica Neerlandica, 56, 4, 479–495.CrossRefGoogle Scholar
  33. Png, I. P. L. (1989) ‘Reservations: customer insurance in the marketing of capacity’, Marketing Science, 8, 3, 248–264.CrossRefGoogle Scholar
  34. Png, I. P. L. (1991) ‘Most-favored-customer protection versus price discrimination over time’, Journal of Political Economy, 99, 5, 1010–1028.CrossRefGoogle Scholar
  35. Rothstein, M. (1971) ‘An airline overbooking model’, Transportation Science, 5, 180–192.CrossRefGoogle Scholar
  36. Rothstein, M. (1974) ‘Hotel overbooking as a markovian sequential decision process’, Decision Sciences, 5, 389–394.CrossRefGoogle Scholar
  37. 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, 227–239.CrossRefGoogle Scholar
  38. Subramanian, J., Stidham Jr, S. and Lautenbacher, C. J. (1999) ‘Airline yield management with overbooking, cancellations and no-shows’, Transportation Science, 33, 2, 147–167.CrossRefGoogle Scholar
  39. Toh, R. (1985) ‘An inventory depletion overbooking model for the hotel industry’, Journal of Travel Research, 23 (Spring), 24–30.Google Scholar
  40. Upchurch, R. S., Ellis, T. and Seo, J. (2002) ‘Revenue management underpinnings: an exploratory review’, Hospitality Management, 21, 67–83.CrossRefGoogle Scholar
  41. 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, 831–844.CrossRefGoogle Scholar
  42. Xie, J. and Shugan, S. M. (2001) ‘Electronic tickets, smart cards and online prepayments: when and how to advance sell’, Marketing Science, 20, 3, 219–243.CrossRefGoogle Scholar
  43. Yeoman, I., Ingold, A. and Kimes, S. E. (1999) ‘Yield management: editorial introduction’, Journal of Operational Research Society, 50, 1083–1084.CrossRefGoogle Scholar

Copyright information

© Palgrave Macmillan 2008

Authors and Affiliations

  1. 1.School of Business and Economics, University of Exeter, Streatham CourtExeterUK

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