Hotel Revenue-management Forecasting

Despite hotel revenue managers’ increasing reliance on computers, human judgment is still indispensable. A study of fifty-seven experienced revenue managers found that the nature of the user interface influenced the way the revenue managers adjusted the computers’ forecasts—even though the managers were all given the same predictions regardless of the interface. The managers were divided into four groups of four possible interface designs they experienced. Those with a deliberate computer and no chart made the smallest volume of adjustments to the computer’s forecast, about half that of the managers using a speedy computer and a chart. That group was followed by those with a speedy computer and no chart. The managers with a slow computer and an interactive chart made the highest volume of adjustments. Further research should indicate the exact nature of the interface’s influence on human judgment.

[1]  J. Scott Armstrong,et al.  Heuristics, biases and improvement strategies in judgmental time series: P. Goodwin and G. Wright, 1994, Omega, 22, 553–568 , 1996 .

[2]  L. Ross,et al.  Biased Assimilation and Attitude Polarization: The Effects of Prior Theories on Subsequently Considered Evidence , 1979 .

[3]  D. Bunn,et al.  Interaction of judgemental and statistical forecasting methods: issues & , 1991 .

[4]  B. Fischhoff,et al.  Training for calibration. , 1980 .

[5]  Lisa E. Bolton Stickier Priors: The Effects of Nonanalytic versus Analytic Thinking in New Product Forecasting , 2003 .

[6]  Monitoring the Accuracy of Multiple Occupancy Forecasts , 1999 .

[7]  Robert J. Genetski,et al.  Long-Range Forecasting: From Crystal Ball to Computer , 1981 .

[8]  Steven C. Wheelwright,et al.  Forecasting methods and applications. , 1979 .

[9]  Z. Schwartz Convention and Conference Facilities: A Framework of Statistical Predictions and Judgmental Adjustments for Daily Occupancy Forecasts , 1997 .

[10]  J. Armstrong,et al.  Forecasting Methods for Marketing: Review of Empirical Research , 1987 .

[11]  Fred Collopy,et al.  Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations , 1992 .

[12]  Larry P. Ritzman,et al.  The need for contextual and technical knowledge in judgmental forecasting , 1992 .

[13]  C. Granger,et al.  Forecasting Economic Time Series. , 1988 .

[14]  David A. Cranage,et al.  Forecasting Hotel Occupancy Rates with Time Series Models: An Empirical Analysis , 1990 .