Advances in Business and Management Forecasting Vol: 5


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Product Details
Format:
Hardback
ISBN:
9780762314782
Published:
25 Jan 2008
Publisher:
Emerald Group Publishing Limited
Dimensions:
312 pages - 152 x 229 x 27mm
Series:
Advances in Business and Management Forecasting
"Advances in Business and Management Forecasting" is a blind refereed serial publication published on an annual basis. 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.) It is the hope and direction of the research annual to become an applications and practitioner-oriented publication.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 both the hope and direction of the editorial board to stimulate the interest of the practitioners of forecasting to methods and techniques that are relevant. In Volume 5, there are sections devoted to financial applications of forecasting, as well as demand forecasting. There is, also, a section on general business applications of forecasting, as well as one on forecasting methodologies.It presents state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. It is published annually.
Using neural networks vs. multiple discriminant analysis to forecast bond rating changes. Cross-listing, corporate governance and operating performance – evidence from The Chinese market. Forecasting option spreads: The use of multiple listing. Improved performance evaluation of comparable units with data envelopment analysis (DEA). A goal programming model for hierarchical forecasting. A principal component analysis-based linear dynamic system for demand forecasting. A comparison of methods for forecasting intermittent demand with increasing or decreasing probability of demand occurrences. Forecasting deep consumer resonance: an application of the Zaltman metaphor elicitation technique (ZMET). Forecasting with innovation diffusion models: A life cycle example in the telecommunications industry. Business forecasting case selection: The united way example. Forecasting the consequences of negative atypical events: the case of tourism and terrorist attacks. Fully synchronized supply chain forecasting. A new method for estimating forecasting functions. Temporally aggregating models to improve the accuracy of seasonal M3 forecasts. Applying resampling scheme to time series analysis. Understanding donor behavior: An empirical study of statistical and non-parametric methods. List of Contributors. EDITORIAL BOARD.

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