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Full Description
The objective of this research annual is to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. (An accurate, robust forecast is critical to effective decision making). The focus of the research annual is applications - and practitioner-oriented. The topics will normally include sales and marketing, forecasting, new product forecasting, judgmentally based forecasting, the application of surveys to forecasting, forecasting for strategic business decisions, improvements in forecasting accuracy, and sales response models. It is the direction of the editorial board to stimulate the interest of the practitioners of forecasting to methods and techniques that are relevant.
Contents
Competitive set forecasting in the hotel industry with an application to hotel revenue management.
Predicting high-tech stock returns with financial performance measures: Evidence from Taiwan.
Forecasting informed trading at merger announcements: The use of liquidity trading.
Using data envelopment analysis (DEA) to forecast bank performance.
Forecasting demand using partially accumulated data.
Forecasting new adoptions: A comparative evaluation of three techniques of parameter estimation.
The use of a flexible diffusion model for forecasting national-level mobile telephone and internet diffusion.
Forecasting household response in database marketing: A latent trait approach.
A new basis for measuring and evaluating forecasting models.
Forecasting using internal markets, Delphi, and other approaches: The knowledge distribution grid.
The effect of correlation between demands on hierarchical forecasting.
Econometric count data forecasting and data mining (cluster analysis) applied to stochastic demand in truckload routing.
Two-attribute warranty policies under consumer preferences of usage and claims execution.
A dual transportation problem analysis for facility expansion/contraction decisions: A tutorial.
Make-to-order product demand forecasting: Exponential smoothing models with neural network correction.
List of Contributors.
EDITORIAL BOARD.
Advances in business and management forecasting.
Advances in business and management forecasting volume 6.
Copyright page.
