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An integrated approach towards revenue management

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Journal of Revenue and Pricing Management Aims and scope

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.

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References

  • 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.

    Article  Google Scholar 

  • Belobaba, P. P. (1987a) ‘Air Travel Demand and Airline Seat Inventory Management’, Doctoral dissertation, Flight Transportation Laboratory, Massachusetts Institute of Technology, Cambridge, MA.

  • Belobaba, P. P. (1987b) ‘Airline yield management: an overview of seat inventory control’, Transportation Science, 21, 63–73.

    Article  Google Scholar 

  • Belobaba, P. P. (1989) ‘Application of a probabilistic decision model to airline seat inventory control’, Operations Research, 37, 183–197.

    Article  Google Scholar 

  • Bitran, G. and Caldentey, R. (2003) ‘An overview of pricing models for revenue management’, Manufacturing and Service Operations Management, 5, 3, 203–229.

    Article  Google Scholar 

  • 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).

  • Brown, S., Lamming, R., Bessant, J. and Jones, P. (2005) Strategic Operations Management, 2nd rev edn, Butterworth-Heinemann Ltd, Oxford.

    Google Scholar 

  • Carroll, W. J. and Grimes, R. C. (1995) ‘Evolutionary change in product management: experiences in the car rental industry’, Interfaces, 25, 5, 84–104.

    Article  Google Scholar 

  • Cary, D. (2004) ‘A view from the inside’, Journal of Revenue and Pricing Management, 3, 2, 200–203(4).

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Desiraju, R. and Shugan, S. M. (1999) ‘Strategic service pricing and yield management’, Journal of Marketing, 63, 44–56.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

  • Fleischmann, M., Hall, J. M. and Pyke, D. F. (2004) ‘Smart pricing’, MIT Sloan Management Review, 45, 2, 9–13.

    Google Scholar 

  • Goldratt, E. M. (1990) Theory of Constraints, North River Press, Croton-on-Hudson, NY.

    Google Scholar 

  • Hersh, M. and Ladany, S. P. (1978) ‘Optimal seat allocation for flights with one intermediate stop’, Computers and Operations Research, 5, 31–37.

    Article  Google Scholar 

  • Karaesmen, I. and van Ryzin, G. (2004) ‘Overbooking with substitutable inventory classess’, Operations Research, 52, 1, 83–104.

    Article  Google Scholar 

  • Karni, E. (1983) ‘Risk aversion for state-dependent utility functions: measurement and applications’, International Economic Review, 24, 3, 637–647.

    Article  Google Scholar 

  • Katz, D. and Kahn, R. L. (1966) The Social Psychology of Organizations, Wiley, New York.

    Google Scholar 

  • Kimes, S. E. (1989) ‘Yield management: a tool for capacity constrained service firms’, Journal Of Operations Management, 8, 348–363.

    Article  Google Scholar 

  • Kimes, S. E. (2003) ‘Revenue management: a retrospective’, Cornell Hotel and Restaurant Administration Quarterly, 30, 3, 14–19.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • Kimes, S. E. and Thompson, G. M. (2004) ‘Restaurant revenue management at Chevys: determining the best table mix’, Decision Sciences, 35, 3, 371–392.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

  • 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.

    Article  Google Scholar 

  • Ng, I. C. L. (2006) ‘Differentiation, self-selection and revenue management’, Journal of Revenue and Pricing Management, 5, 1, 2–9.

    Article  Google Scholar 

  • Ng, I. C. L. (2007) ‘Advanced demand and a critical analysis of revenue management’, Service Industries Journal, 27, 5, 525–548.

    Article  Google Scholar 

  • 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 

  • 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.

  • Pak, K. and Piersma, N. (2002) ‘Overview of OR techniques for airline revenue management’, Statistica Neerlandica, 56, 4, 479–495.

    Article  Google Scholar 

  • Png, I. P. L. (1989) ‘Reservations: customer insurance in the marketing of capacity’, Marketing Science, 8, 3, 248–264.

    Article  Google Scholar 

  • Png, I. P. L. (1991) ‘Most-favored-customer protection versus price discrimination over time’, Journal of Political Economy, 99, 5, 1010–1028.

    Article  Google Scholar 

  • Rothstein, M. (1971) ‘An airline overbooking model’, Transportation Science, 5, 180–192.

    Article  Google Scholar 

  • Rothstein, M. (1974) ‘Hotel overbooking as a markovian sequential decision process’, Decision Sciences, 5, 389–394.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Toh, R. (1985) ‘An inventory depletion overbooking model for the hotel industry’, Journal of Travel Research, 23 (Spring), 24–30.

    Google Scholar 

  • Upchurch, R. S., Ellis, T. and Seo, J. (2002) ‘Revenue management underpinnings: an exploratory review’, Hospitality Management, 21, 67–83.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Yeoman, I., Ingold, A. and Kimes, S. E. (1999) ‘Yield management: editorial introduction’, Journal of Operational Research Society, 50, 1083–1084.

    Article  Google Scholar 

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Correspondence to Irene C L Ng.

Additional information

1 Irene C. L. Ng is an associate professor of marketing and the Director for the Centre for Service Research at the School of Business and Economics, University of Exeter (UK). Irene was previously the CEO of SA Tours, the largest tour operator in Southeast Asia based in Malaysia, Singapore and China and the founder and CEO of Empress Cruise Lines, a cruise company turning over $250m per annum.

2 Roger Maull is a professor of Management Systems at the School of Business and Economics, University of Exeter, UK.

3 Philip Godsiff is a doctoral candidate at the School of Business and Economics, University of Exeter, UK.

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Ng, I., Maull, R. & Godsiff, P. An integrated approach towards revenue management. J Revenue Pricing Manag 7, 185–195 (2008). https://doi.org/10.1057/rpm.2008.10

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  • DOI: https://doi.org/10.1057/rpm.2008.10

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