IDENTIYING HOTEL REVENUE MANAGEMENT IMPLEMENTING DRVERS

Miguel A. Domingo-Carrillo, Rosario González-Rodríguez, Esther Chávez-Miranda

Resumen


This research means to globally analyse which variables drive the implementation of Revenue Management and the specific variables related with its application that have been boosted. We selected the size of the establishment, belonging to a hotel chain, the implementation of Revenue Management and the use of specific Revenue Management software as driving forces for its application, as well as possible relations between them. The model verified the repercussion of these aspects on 13 variables related with demand and pricing and 13 with capacity management linked to its implementation. Variance-based Structural Equation Modelling (PLS-SEM) has been used to both build and test the model. We carried out measurements at two moments with a 10-year difference. Revenue Management has recently been more advanced and sophisticated. Belonging to a chain and the implementation of a Revenue Management system have been identified as driving forces which positively and significantly influence Revenue Management application.


Texto completo:

PDF (English)

Referencias


Abdel, A. H.; Saleh, M.; Rasmy, M.; El-Shishiny, H. (2011). Dynamic room pricing model for hotel revenue management systems. Egyptian Informatics Journal, 12(3), 177-183.

Aghazedeh, S. M. (2007). Revenue forecasting models for hotel management. The Journal of Business Forecasting, 26(3), 33-37.

Anderson, C.; Xie, X. (2010). Improving hospitality industry sales: twenty-five years of revenue management. Cornell Hospitality Quarterly, 51(1), 53-67.

Aslani, S.; Modarres, M.; Sibdari, S. (2013). A decomposition approach in network revenue management: Special case of hotel. Journal of Revenue and Pricing Management, 12(5), 451-463.

Aydin, G.; Ziya, S. (2008). Pricing promotional products under upselling. Manufacturing and Service Operational Management, 10(3), 360-376.

Aziz, H. A.; Saleh, M.; Rasmy, M. H.; ElShishiny, H. (2011). Dynamic room pricing model for hotel revenue management systems. Egyptian Informatics Journal, 12(3), 177-183.

Badinelli, R. D. (2000). An optimal, dynamic policy for hotel yield management. European journal of Operational Research, 121(3), 476-503.

Baker, T. K.; Collier, D. A. (1999). A comparative revenue analysis of hotel yield management heuristics. Decision Sciences, 30(1), 239-263.

Baker, T. K.; Collier, D. A. (2003). The benefits of optimizing prices to manage demand in hotel revenue management systems. Production and Operations Management, 12(4), 502-518.

Bayoumi, A. E.; Saleh, M.; Atiya, A. F.; Aziz, H. A. (2013). Dynamic pricing for hotel revenue using price multipliers. Journal of Revenue and Pricing Management, 12(3), 271-285.

Belobaba, P.; Wilson, J. (1997). Impacts of yield management in competitive airline markets. Journal of Air Transport Management, 37(2), 3-9.

Bitran, G.; Mondschein, S. V. (1995). An application of yield management to the hotel industry considering multiple day stays. Operations Research, 43(3), 427-443.

Bitran, G.; Gilbert, S. (1996). Managing hotel reservations with uncertain arrivals. Operations Research, 37(2), 35-49.

Bradley, A.; Ingold, A. (1993). An investigation of yield management in Birmingham hotels. International Journal of Contemporary Hospitality Management, 5(2), 13-16.

Butler, W.; Kavesh, R. A.; Platt, R. B. (1974). Methods and techniques of business forecasting, Englewood Cliffs, NJ: Prentice-Hall.

Butscher, S.; Vidal, D.; Dimier, Ch. (2009). Managing hotels in the downturn: Smart revenue growth through pricing optimization. Journal of Revenue and Pricing Management, 8(5), 405-409.

Cachon, G. P.; Swinney, R. (2009). Purchasing, pricing, and quick response in the presence of strategic consumers. Management Sciences, 55(3), 497-511.

Capiez, A. (2003). Yield Management optimisation du revenue dans les services, Hermes Science.

Carvel, S.; Quan, D. (2005). Low-price guarantees: How hotel companies can get it right. CHR Reports.

Chatwin, R. (1998). Multi-period airline overbooking with a single fare class. Operations Research, 46(6), 805-819.

Chávez-Miranda, M. E. (2005). Yield Management: estudio de su aplicación en el sector hotelero. Unpublished PhD thesis, Universidad de Sevilla. Sevilla, Spain

Chen, C.; Kachani, S. (2007). Forecasting and optimization for hotel revenue management. Journal of Revenue and Pricing Management, 6(3), 163-174.

Chen, C.; Schwartz, Z.; Vargas, P. (2011). The search for the best deal: how hotel cancellation policies affect the search and booking decision of deal seeking customers. International Journal of Hospitality Management, 30(1), 129-135.

Chen, C.; Xie, K. (2013). Differentiation of cancellation policies in the U.S. hotel industry. International Journal of Hospitality Management, 34, 66-72.

Chiang, W. C.; Chen, J. C. H.; Xu, X. (2007). An overview of research on revenue management: current issues and future research. International Journal of Revenue Management, 1(1), 97-127.

Cohen, J. (1988). Statistical power analyses for the behavioral sciences, Hillsdale, NJ: Lawrence Erlbaum Associates.

Cross, R.; Higbie, J.; Cross, D. (2010). Revenue management’s renaissance. Cornell Hospitality Quarterly, 50(1), 56-81.

DeKay, F.; Yates, B.; Toh, R. S. (2004). Non-performance penalties in the hotel industry. International Journal of Hospitality Management, 23(3), 273-286.

Domingo-Carrillo, M. A.; Chávez-Miranda, M. E.; Escobar-Pérez, B. (2016). Evolución del software y herramientas de revenue management utilizados por hoteles. In TURITEC 2016: Proceedings of the XI Congreso Internacional de Turismo y Tecnología de la Información y la Comunicación (pp. 484-493). Málaga, Spain.

Donaghy, K.; McMahon-Beattie, U. (1995). Managing yield: a marketing perspective. Journal of Vacation marketing, 2(1), 55-62.

Donaghy, K.; McMahon, U.; McDowell, D. (1995). Yield management: an overview. International Journal Hospitality Management, 14(2), 139-150.

Donaghy, K.; McMahon-Beattie, U.; McDowel, D. (1997a). Yield management practices. In A. Ingold, U. McMahon-Beattie & I. Yeoman (Eds), Yield Management Strategies for the Service Industries (pp. 183-201). London: Continuum.

Donaghy, K.; McMahon-Beattie, U.; McDowel, D. (1997b). Implementing yield management: lessons from the hotels sector. International Journal of Contemporary Hospitality Management, 9(2), 50-54.

Dunn, K.; Brooks, D. E., 1990. Profit analysis: beyond yield management. Cornell Hotel and Restaurant Administration Quarterly, 31(3), 80-90.

El Gayar, N. F.; Saleh, M.; Atiya, A.; El-Shishiny, H.; Zakhary, A.; Habib, H. (2011). An integrated framework for advanced hotel revenue management. International Journal of Contemporary Hospitality Management, 23(1), 84-98.

Emeksiz, M.; Gursoy, D.; Icoz, O. (2006). A yield management model for five-star hotels: Computerized and non-computerized implementation. International Journal of Hospitality Management, 25(4), 536-551.

Erdelyi, A.; Topaloglu, H. (2009). Separable approximation for joint capacity control and overbooking decision in network revenue management. Journal of Revenue and Pricing Management, 8(1), 3-20.

European Commission (1997). Yield Management in Small and Medium Sized Enterprises in the Tourim Industries, European Commission. General Report.

Ghalia, M. B.; Wang, P. P. (2000). Intelligent system to support judgmental business forecasting: The case of estimating hotel room demand. IEEE, 8(4), 380-397.

Gilchrist, W. (1976). Statistical forecasting. New York: Wiley.

Gilden, J. (2004). Best rate is not often so, so take advantage of that guarantee. Los Angeles Times, 25 of April.

Gilden, J. (2005). Hotels’ special offers sometimes outdo their own best rates. Los Angeles Times, 6 of February.

Gilly, M.; Hansen, R. W. (1985). Consumer complaint handling as a strategic marketing tool. Journal of Consumer Marketing, 2(4), 5-16.

Green, S. B. (1991). How many subjects does it take to do a regression analysis. Multivariate Behavioral Research, 26, 499-510.

Griffin, R. (1995). A Categorisation scheme for critical success factors of lodging yield management systems. International Journal of Hospitality Management, 14(3-4), 325-338.

Guadix, J.; Onieva, L.; Cortés, P.; Muñuzuri, J.; Quesada, V. (2008). Yield management aplicado al sector hotelero: un enfoque desde el modelado matemático. Cuadernos de Administración, 21(35), 189-203.

Haensel, A.; Koole, G. (2011). Booking horizon forecasting with dynamic updating: A case study of hotel reservation data. International Journal of Forecasting, 27(3), 942-960.

Hadjinicola, G. C.; Panayi, C. (1997). The overbooking problem in hotels with multiple tour-operators. International Journal of Operations & Production Management, 17(9), 874-885.

Hair, J. F.; Hult, G. T.; Ringle, C. M.; Sarstedt, M. (2014). A primer on partial least squares structural equation modelling (PLS-SEM). London: Sage.

Hanks, R. D.; Cross, R. G.; Noland, R. P. (1992). Discounting in the hotel industry: a new approach. Cornell Hotel and Restaurant Administration Quarterly, 33(1), 15-23.

Harewood, S. I. (2006). Managing a hotel’s perishable inventory using bid prices. International Journal of Operations & Production Management, 26(10), 1108-1122.

Harrison, J. (2006). Traveling blind. Ottawa Citizen, L2.

Helsel, C.; Cullen, K. (2006). A future vision of revenue management. Hospitality upgrade.

Henseler, J.; Dijkstra, T. K.; Sarstedt, M.; Ringle, C. M.; Diamantopoulos, A.; Straub, D. W.; Ketchen, D. J.; Hair, J. F.; Hult, G.; Tomas M.; Calantone, R. J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö & Evermann (2013). Organizational Research Methods, 17(2), 182-209.

Henseler, J.; Ringle, C. M.; Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modelling. Journal of the Academy of Marketing Science, 43(1), 115-135.

Hilton Hotels Corporation (1999). Revenue Management institute. Beverly Hills, CA.

Holiday Inns. Inc. (1994). Holiday Inn Reservation Optimizer (HIRO) System Guide. Atlanta: Georgia.

Hjalager, A. (2010). A review innovation research in tourism. Tourism Management, 31, 1-12.

Hormby, S.; Morrison, J.; Dave, P.; Meyers, M.; Tenca, T. (2010). Marriott International Increases Revenue by Implementing a Group Pricing Optimizer. Interfaces, 40(1), 47-57.

Huyton, J. R.; Peters, S. D. (1997). Application of yield management in the hotel industry. In I. Yeoman & A. Inglod (Eds), Yield Management: Strategies for the Service Industries (pp. 202-217). London: Cassell.

Huyton, J. R.; Thomas, S. (2000). Application of Yield Management to the Hotel Industry. In A. Ingold, U. McMahon-Beattie & I. Yeoman (Eds), Yield Management Strategies for the Service Industries (pp. 256-270). London: Continuum.

Ingold, A.; McMahon, U.; Yeoman, I. (2000). Yield Management: Strategies for the Service Industries. London: Continuum.

Instituto Nacional de Estadística. (2013). Encuesta de ocupación hotelera. (http://www.ine.es/daco/daco42/ocuphotel/notaeoh_13.pdf).

Iyengar, A.; Suri, K. (2012). Customer profitability analysis: an avant-garde approach to revenue optimisation in hotels. International Journal of Revenue Management, 6(1), 127-143.

Jarvis, N.; Lindh, A.; Jones, P. (1998). An Investigation of the key criteria affecting the adoption of yield management in UK hotels. Progress in Tourism and Hospitality Research, 4(3), 207-216.

Jauncey, S.; Mitchell, I.; Slamet, P. (1995). The meaning and management of yield in hotels. International Journal of Contemporary Hospitality Management, 7(4), 23-26.

Jerath, K.; Netessine, S.; Veraraghavan, S. K. (2010). Revenue management with strategic customers: Last-minute selling and opaque selling. Management Science, 56(3), 430-448.

Jones, P.; Hamilton, D. (1992). Yield management: putting people in the big picture. Cornell Hotel and Restaurant Administration Quarterly, 33(1), 89-95.

Jones, P. (1999). Yield management in UK hotels: a systems analysis. Journal of the Operational Research Society, 50(11), 1111-1119.

Jones, D.; Lee, A.; Chon, K. (2011). Future issues in sales, marketing and revenue management in greather China: What keeos you at night?. Journal of Travel & Tourism Marketing, 28(6), 598-614.

Kimes, S. E. (1989a). Yield management: a tool for capacity-considered service firms. Journal of Operations Management, 8(4), 348-363.

Kimes, S. E. (1989b). The basics of yield management. Cornell Hotel and Restaurant Administration Quarterly, 30(2), 14-19.

Kimes, S. E. (1994). Perceived fairness of yield management. Cornell Hotel and Restaurant Administration Quarterly, 35(1), 22-29.

Kimes, S. E. (1997). Yield management: an overview. In A. Ingold, U. McMahon-Beattie & I. Yeoman (Eds), Yield Management Strategies for the Service Industries (pp. 3-11). London: Continuum.

Kimes, S. E. (1999). Group forecasting accuracy in hotels. Journal of the Operational Research Society, 50(11), 1104-1110.

Kimes, S. E. (2000). A Strategic Approach to Yield Management. In A. Ingold, U. McMahon-Beattie & I. Yeoman (Eds), Yield Management Strategies for the Service Industries (p. 1). London: Continuum.

Kimes, S. E. (2011). The future of hotel revenue management. Journal of Revenue and Pricing Management, 10(1), 62-72.

Kimes, S. E. ; McGuire, K. (2001). Function-space revenue management: A case study from Singapore. Cornell Hotel and Restaurant Administration Quarterly, 42(6), 33-46.

Kimes, S.; Wagner, P. (2001). Preserving your revenue-management system as a trade secret. Cornell Hotel and Restaurant Administration Quarterly, 40(6), 8-15.

Koide, T.; Ishii, H. (2005). The hotel yield management with two types of room prices, overbooking and cancellations. International Journal of Production Economics, 93-94(19), 417-428.

Ladany, S. P. (1976). Dynamic operating rules for motel reservations. Decision Sciences, 7(4), 829-840.

Ladany, S. P. (1977). Bayesian dynamic operating rules for optimal hotel reservations. Mathematical Method of Operations Research, 21(6), 165-176.

Ladany, S. P. (1996). Optimal market segmentation of hotel rooms: The non-linear case. Omega, 24(1), 29-36.

Lai, G. L.; Debo, G.; Sycara, K. (2010). Buy now and match later: The impact of posterior price matching on profit with strategic consumers. Manufacturing Service Operation Management, 12(1), 33-55.

Lambert, M. (2006). Last-minute gamble: Take a chance, but be ready for anything. Miami Herald (noviembre, 26). (http://www.accessmylibrary.com/article-1G1-154985891/last-minute-gamble-take.html).

Lambert, C. U.; Lambert, J. M. (1988). Simple reservation policies can be harmful to profit margins. International Journal of Hospitality Management, 7(3), 187-196.

Lambert, C. U.; Lambert, J. M.; Cullen, T. P. (1989). The overbooking question: A simulation. Cornell Hotel and Restaurant Administration Quarterly, 30(2), 15-20.

Liberman, V.; Yechiali, U. (1977). Hotel overbooking problem-inventory system with stochastic cancellations. Adv. Appl. Probab., 9, 220-230.

Lieberman, W. (1993). Debunking the myths of yield management. Cornell Hotel and Restaurant Administration Quarterly, 34(1), 34-41.

Lieberman, W. (2010). From yield management to price optimization : Lessons learned. Journal of Revenue and Pricing Management, 10(1), 40-43

Luciani, S. (1999). Implementing yield management in small and medium sized hotels: an investigation of obstacles and success factors in Florence hotels. International Journal of Hospitality Management, 18(2), 129-142.

Mandelbaum, R. (2010). Hotels profit from attrition and cancellation. (http://www.hospitalitybusinessnews.org/2010/11/hotels-profit-from-attrition-and.html).

McCollough, M. A. (2000). The effect of perceived justice and attributions regarding service failure and recovery on post-recovery customer satisfaction and service quality attitudes. Journal of Hospitality & Tourism Research, 24(4), 423-447.

McGill, J.; van Ryzing, G. (1999). Revenue management: research overview and prospects. Transportation Science, 33(2), 233-256.

McMahon-Beattie, U.; Donaghy, K. (2000). Yield management practices. In A. Ingold, U. McMahon-Beattie & I. Yeoman (Eds), Yield Management Strategies for the Service Industries (pp. 233-255). London: Continuum.

Metters, R.; Queenan, C.; Ferguson, M.; Harrison, L.; Higbie, J.; Ward, S.; Barfield, B.; Farley, T.; Kuyumcu, A.; Duggasani, A. (2008). The killer application of revenue management: Harrah’s Cherokee Casino & Hotel. Interfaces, 38(3), 161-175.

Milla, S.; Shoemaker, S. (2008). Three decades of revenue management: What’s next?. Journal of Revenue and Pricing Management, 7(1), 110-114.

Morales, D. R.; Wang, J. (2010). Forecasting cancellation rates for services booking revenue management using data mining. European Journal of Operational Research, 202(2), 554-562.

Noone, B.; Mattila, A. S. (2009). Hotel revenue management and the Internet: The effect of price presentation strategies on customers’ willingness to book. International Journal of Hospitality Management, 28(2), 272-279.

Noone, B.; Hultberg, T., 2011. Profiting through teamwork: the role of the revenue management and sales functions in group revenue management. Cornell Hospitality Quarterly, 52(4), 407-420

Noone, B.; Lee, C. H. (2011). Hotel overbooking: the effect of overcompensation on customers’ reactions to denied service. Journal of Hospitality & Tourism Research, 35(3), 334-357.

O’Connor, M.; Remus, W.; Griggs, K. (2000). Does updating judgmental forecasts improve forecast accuracy?. International Journal of Forecasting, 16(1), 101-109.

Orkin, E. (1988). Boosting your bottom line with yield management. Cornell Hotel and Restaurant Administration Quarterly, 39(4), 52-56.

Padhi, S. S.; Aggarwal, V. (2011). Competitive revenue management for fixing quota and price of hotel commodities under uncertainty. International Journal of Hospitality Management, 30(3), 725-734.

Pan, C. M. (2007). Market demand variations, room capacity, and optimal hotel room rates. International Journal of Hospitality Management, 23(3), 748-753.

Pekgün, P.; Menich, P.; Achatya, S.; Finch, P.; Dschamps, F.; Mallery, K.; Sistine, J.; Christianson, K.; Fuller, J. (2013). Carlson Rezidor hotel group maximizes revenue through improved demand management and price optimization. Interfaces, 43(1), 21-36.

Post, D.; Spann, M. (2012). Improving airline revenues with variable opaque products: «Blind booking» at Germanwings. Interfaces, 42(4), 329-338

Queenan, C. C.; Ferguson, M.; Higbie, J.; Kappor, R. (2007). A comparison of unconstraining methods to improve revenue management systems. Production and Operations Management, 16(6), 729-746.

Queenan, C. C.; Ferguson, M.; Stratman, J. K. (2011). Revenue management performance drivers: An exploratory analysis within the hotel industry. Journal of Revenue and Pricing Management, 10(2), 172-188.

Rajopadhye, M.; Ben Ghalia, M.; Wang, P. P.; Baker, T.; Eister, C. V. (2001). Forecasting uncertain hotel room demand. Information Sciences, 132(1-4), 1-11.

Relihan, W. J. (1989). The yield management approach to hotel-room pricing. Cornell Hotel and Restaurant Administration Quarterly, 30(1), 40-45.

Rohlfs, K.; Kimes, S. E. (2007). Customers’ perceptions of best available hotel rates. Cornell Hotel and Restaurant Administration Quarterly, 48(2), 151-162.

Rothstein, M. (1974). Hotel overbooking as a Markovian sequential decision process. Decision Sciences, 5(3), 389-404.

Rothstein, M. (1985). OR and the airline overbooking problem. Operations Research, 33(2), 237-248.

Schwartz, Z. (1998). The confusing side of yield management: myths, error, and misconceptions. Journal of Hospitality and Tourism Research, 22(4), 413-430.

Schwartz, Z.; Cohen, E. (2004). Hotel revenue-management forecasting: evidence of expert-judgment bias. Cornell Hotel and Restaurant Administration Quarterly, 45(1), 85-98.

Shen, H.; Huang, J. Z. (2008). Interday forecasting and intraday updating of call center arrivals. Manufacturing & Service Operations Management, 10(3), 391-410.

Sparks, B. A.; Fredline, E. (2007). Providing an explanation for service failure: context, content and customer responses. Journal of Hospitality and Tourism Research, 31(2), 241-260.

Srivastava, P. (2008). Crystal-Gazing: The next hot jobs. Here’s a rundown of jobs to keep an eye on in 2008. Business Today, February.

Su, X. (2007). International pricing with strategic consumer behavior. Management Science, 53(5), 726-741.

Su, X.; Zhang, F. (2008). Strategic consumer behavior, commitment, and supply chain performance. Management Science, 54(10), 1759-1773.

Talluri, K. T.; van Ryzing, G. (2004). The theory and practice of revenue management. Boston, MA: Kluwer Academic Publisher.

Talluri, K. T.; van Ryzin, G. (2005). The theory and practice of revenue management. NY, USA: Springer-Verlag.

Talón, P. (2010). Revenue yield management en los hoteles de Madrid: análisis empírico de su aplicación y resultados. Unpublished PhD thesis, Universidad Rey Juan Carlos. Madrid. Spain.

Talón, P.; González, L.; Segovia, M. (2012). Yield revenue management en el sector hotelero: Estrategias e implantación. Delta, Publicaciones Universitarias. 1ª Edición. Madrid.

Talon, P.; González, L.; Figueroa, C. (2014). A model for evaluating revenue management implementation (MERMI) in the hotel industry. Journal of Revenue and Pricing Management, 13(4), 309-321.

Taylor, W.; Kimes, S. E. (2011). The effect of brand class on perceived fairness of revenue management. Journal of Revenue and Pricing Management, 10(3), 271-284.

Toh, R. S.; DeKay, F. (2002). Hotel room inventory management: An overbooking model. Cornell Hotel and Restaurant Quarterly, 43(4), 79-90.

Tse, T.; Poon, Y. (2012). Revenue management: resolving a revenue optimization paradox. International Journal of Contemporary Hospitality Management, 24(4), 507-521.

Upchurch, R. S.; Ellis, T.; Seo, J. (2002). Revenue management underpinnings: an exploratory review. International Journal of Hospitality Management, 21(1), 67-83.

Upchurch, R. S.; Ellis, T.; Seo, J. (2003). A case study of the yield management conundrum: usage versus competence. Journal of Hospitality & Tourism Research, 27(1), 25-137.

Upchurch, R. S.; Ellis, T.; Seo, J. (2004). Applying the hierarchical cluster analysis procedure upon the process of yield management: A comparative study. Journal of Travel & Tourism Marketing, 16(4), 47-58.

Vinod, B. (2004). Unlocking the value of revenue management in the hotel industry. Journal of Revenue and Pricing Management, l(2), 178-190.

Wang, X. L. (2012). The impact of revenue management on hotel key account relationship development. International Journal of Contemporary Hospitality Management, 24(3), 358-380.

Weatherford, L. R. (1995). Length of Stay Heuristics: Do they really make a Difference?. Cornell Hotel and Restaurant Administration Quarterly, 36(6), 70-79.

Weatherford, L. R.; Bodily, S. E. (1992). A taxonomy and research overview of perishable-asset revenue management: yield management, overbooking and pricing. Operations Research, 40(5), 831-844.

Weatherford, L. R.; Kimes, S. E. (2003). A Comparison of forecasting methods for hotel revenue management. International Journal of Forecasting, 19(3), 401-415.

Weatherford, L. R.; Kimes, S. E.; Scott, D. A. (2001). Forecasting for hotel revenue management: Testing aggregation against disaggregation. Cornell Hotel and Restaurant Administration Quarterly, 42(4), 53-64.

Weinberg, J.; Brown, L. D.; Stroud, J. R. (2007). Bayesian forecasting of an inhomogeneous Poisson process with applications to call center data. Journal of the American Statistical Association, 102(480), 1185-1198.

Williams, F. E. (1977). Decision theory for the innkeeper: An approach for setting reservation policy. Interfaces, 7(4), 18-30.

Yin, R.; Aviv, Y.; Pazgal, A.; Tang, C. S. (2009). Optimal markdown pricing: Implications of inventory display formats in the presence of strategic customers. Management Science, 55(8), 1391-1408.

Zakhary, A.; El Gayar, N.; Atiya, A. F. (2008). A comparative study of the pickup method and its variation using a simulated reservation hotel data. ICGST International Journal on Artificial Intelligence and Machine Learning. ICGST-AIML, special issue on Computational Methods for the Tourism Industry, 8, 15-21.

Zakhary, A.; Atiya, A. F.; El-Shishiny, H.; El Gayar, N. (2009). Forecasting hotel arrivals and occupancy using Monte Carlo simulation. Journal of Revenue and Pricing Management, 10(4), 344-366.

Zrelli, I. (2007). Prévision segmentée et appliccatin du yield management. Management et Sciences Sociales, 31, 211-222.

Zrelli, I. (2010). Les determinants de l’orientation yield management: Une approche exploratoire. Revue française de gestion, 207, 63-82.


Enlaces refback

  • No hay ningún enlace refback.


International Journal of Information Systems and Software Engineering for Big Companies

ISSN: 2387-0184

www.ijisebc.com

ijisebc@uajournals.com