Forecasting in short-term planning and management for a casino buffet restaurant

Management Science Applications in Tourism and Hospitality

Volumn , Issue , 2014, Pages 79-98

  Hu, Clark ^a   Chen, Ming ^b   McCain, Shiang Lih Chen ^c  

^a TEMPLE UNIVERSITY   (United States)

^b UNIVERSITY OF NEVADA   (United States)

^c WIDENER UNIVERSITY   (United States)

Author keywords

Casino buffet restaurant; Combined forecasting; Demand forecasting; Restaurant revenue management (RRM); Short term planning; Time series

Indexed keywords

EID: 34247136893     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9781315782478     Document Type: Chapter

References (46)

1. Anonymous. (1996). Feeding the slots: Are casino restaurants an amenity or a profit center? Restaurant Business, 95(6), 135-136.
2. Armstrong, J. S. (2001a). Combining forecasts. In J. S. Armstrong (Ed.), Principles of forecasting: A handbook for researchers and practitioners (pp. 417- 439). Norwell, MA: Kluwer Academic Publishers.
3. Armstrong, J. S. (2001b). Selecting forecasting methods. In J. S. Armstrong (Ed.), Principles of forecasting: A handbook for researchers and practitioners (pp. 365-386). Norwell, MA: Kluwer Academic Publishers.
4. Athiyaman, A., & Robertson, R. W. (1992). Time series forecasting techniques: Short-term planning in tourism. International Journal of Contemporary Hospitality Management, 4(4), 8-11.
5. Bateson, J. E. G., & Hoffman, K. D. (1999). Managing services marketing: Text and readings (4th ed.). Fort Worth, TX: The Drydan Press.
6. Chandler, S. J., Norton, L. C., Hoover, L. W., & Moore, A. M. (1982). Analysis of meal census patterns for forecasting menu item demand. Journal of the American Dietetic Association, 80(4), 317-323.
7. DeLurgio, S. A. (1998). Forecasting, principles, and application. Columbus, OH: McGraw-Hill Companies.
8. Georgoff, D. M., & Murdick, R. G. (1986). Manager’s guide to forecasting. Harvard Business Review, 64(1), 110-120.
9. Geurts, M. D., & Whitlark, D. B. (1999-2000). Six ways to make sales forecasts more accurate. Journal of Business Forecasting Methods & Systems, 18(4), 21-24.
10. Gupta, S., & Wilton, P. C. (1987). Combination of forecasts: An extension. Management Science, 33(3), 356-372.
11. Hanke, J. E., Reitsch, A. G., & Wichern, D. W. (2001). Business forecasting (7th ed.). Upper Saddle River, NJ: Prentice Hall Inc.
12. Hoffman, K. D., & Bateson, J. E. G. (2001). Essentials of services marketing: Concepts, strategies, & cases (2nd ed.). Mason, OH: South-Western College Publishing.
13. Holt, C. C. (1957). Forecasting seasonal and trends by exponentially weighted moving averages (ONR Research memorandum No. 52). Pittsburgh, PA: Carnegie Institute of Technology.
14. Kimes, S. E. (1999). Implementing restaurant revenue management: A five-step approach. Cornell Hotel and Restaurant Administration Quarterly, 40(3), 16-21.
15. Kimes, S. E., Barrash, D. I., & Alexander, J. E. (1999). Developing a restaurant revenue-management strategy. Cornell Hotel and Restaurant Administration Quarterly, 40(5), 18-29.
16. Kimes, S. E., Chase, R. B., Choi, S., Lee, P. Y., & Ngonzi, E. N. (1998). Restaurant revenue management: Applying yield management to the restaurant industry. Cornell Hotel and Restaurant Administration Quarterly, 39(3), 32-39.
17. Kimes, S. E., & McGuire, K. A. (2001). Function-space revenue management: A case study from Singapore. Cornell Hotel and Restaurant Administration Quarterly, 42(6), 33-46.
18. Kotler, P., Bowen, J. T., & Makens, J. (2003). Chapter 11–Building customer loyalty through quality. In Marketing for hospitality and tourism (3rd ed., pp. 381-440). Upper Saddle River, NJ: Prentice Hall, Inc.
19. Las Vegas Convention & Visitor Authority. (2001). 1999-2000 Clark County Residents Study. Las Vegas, NV: Las Vegas Convention&Visitor Authority.
20. Lawrence, M. J., Edmundson, R. H., & O’Connor, M. J. (1986). The accuracy of combining judgmental and statistical forecasts. Management Science, 32(12), 1521-1532.
21. Lewis, C. D. (1982). Industrial and business forecasting methods: A practical guide to exponential smoothing and curve fitting. London, UK: Butterworth Scientific.
22. Lovelock, C., & Wright, L. (2002). Principles of service marketing and management (2nd ed.). Upper Saddle River, NJ: Prentice Hall, Inc.
23. Lucas, T., & Santos, J. (2003). Measuring the effects of casino-operated restaurant volume on slot machine business. Journal of Hospitality & Tourism Research, 27(1), 101-117.
24. Mack, D. (1999). What’s your sign? Designing facades to get customers in Bellagio’s door. Nation’s Restaurant News, 33(19), 36-37.
25. Makridakis, S. G. (1996). Forecasting: Its role and value for planning and strategy. International Journal of Forecasting, 12(4), 513-537.
26. Makridakis, S. G., Wheelwright, S. C., & Hyndman, R. J. (1998). Forecasting: Methods and applications (3rd ed.). New York, NY: John Wiley & Sons, Inc.
27. Messersmith, A. M., & Miller, J. L. (1991). Forecasting in foodservice. New York, NY: John Wiley & Sons, Inc.
28. Metters, R., King-Metters, K., & Pullman, M. (2003). Successful service operations management. Mason, OH: South-Western.
29. Miller, J. J., McCahon, C. S., & Miller, J. L. (1991a). Foodservice forecasting using simple mathematical models. Hospitality Research Journal, 15(1), 43-58.
30. Miller, J. J., McCahon, C. S., & Miller, J. L. (1991b). Forecasting food production demand in school foodservice. School Food Service Research, 15(2), 117- 122.
31. Miller, J. J., McCahon, C. S., & Miller, J. L. (1993). Foodservice forecasting: Differences in selection of simple mathematical models based on. Hospitality Research Journal, 16(2), 95-102.
32. Miller, J. L., McCahon, C. S., & Bloss, B. K. (1991). Food production forecasting with simple time series models. Hospitality Research Journal, 14(3), 9-21.
33. Miller, J. L., & Shanklin, C. W. (1988). Forecasting the menu-item demand in foodservice operations. Journal of the American Dietetic Association, 88(4), 443-449.
34. Miller, J. L., Thompson, P. A., & Orabella, M. M. (1991). Forecasting in foodservice: Model development, testing, and evaluation. Journal of the American Dietetic Association, 91(5), 569-574.
35. Morgan, M. S., & Chintagunta, P. K. (1997). Forecasting restaurant sales using self-selectivity models. Journal of Retailing and Consumer Services, 4(2), 117-128.
36. Richard, M. D., & Adrian, C. M. (1996). Determinants of casino repeat purchase intentions. Journal of Hospitality & Leisure Marketing, 4(3), 25-39.
37. Roehl, W. S. (1996). Competition, casino spending, and use of casino amenities. Journal of Travel Research, 34(3), 57-62.
38. Ryu, K., & Sánchez, A. (2002). The evaluation of the forecasting methods in the institutional foodservice facilities. In A. DeFranco& J. A. Abbott (Eds.), Proceedings of the Seventh Annual Graduate Education and Graduate Students Research Conference in Hospitality and Tourism: Advances in Hospitality and Tourism Research, January 3-5, Houston, TX (Vol. 7, pp. 491-493). Houston, TX: University of Houston.
39. Sanders, N. R., & Ritzman, L. P. (1992). The need for contextual and technical knowledge in judgmental forecasting. Journal of Behavioral Decision Making, 5(1), 39-52.
40. Sanders, N. R., & Ritzman, L. P. (2001). Judgmental adjustment of statistical forecasts. In J. S. Armstrong (Ed.), Principles of forecasting: A handbook for researchers and practitioners (pp. 405-416). Norwell, MA: Kluwer Academic Publishers.
41. Schnaars, S. P. (1984). Situational factors affecting forecast accuracy. Journal of Marketing Research, 21(3), 290-297.
42. Sill, B. T. (1991). Capacity management: Making your service delivery more productive. Cornell Hotel and Restaurant Administration Quarterly, 31(4), 76-87.
43. Tasoulas, M. A. (1999). Betting on a sure thing: Gone are the days when fine dining in a gaming establishment was a no-win proposition. Restaurant Business, 98(13), 32-37.
44. Webby, R., & O’Connor, M. (1996). Judgmental and statistical time series forecasting: A review of the literature. International Journal of Forecasting, 12(1), 91-118.
45. Webby, R., O’Connor, M., & Lawrence, M. (2001). Judgmental time-series forecasting using domain knowledge. In J. S. Armstrong (Ed.), Principles of forecasting: A handbook for researchers and practitioners (pp. 389-403). Norwell, MA: Kluwer Academic Publishers.
46. Winters, P. R. (1960). Forecasting sales by exponentially weighted moving averages. Management Science, 6(3), 324-342.