Advances in Business and Management Forecasting
Kenneth D. Lawrence, Michael D. Geurts
Emerald Group Publishing, Jan 25, 2008 - Business & Economics - 312 pages
"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.
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FORECASTING WITH INNOVATION DIFFUSION
FORECASTING THE CONSEQUENCES OF NEGATIVE
FULLY SYNCHRONIZED SUPPLY CHAIN
A NEW METHOD FOR ESTIMATING FORECASTING
TEMPORALLY AGGREGATING MODELS
APPLYING RESAMPLING SCHEME TO TIME
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Advances in Business aggregation Amount Raised approach atypical events bond rating changes Business and Management companies comparable unit computed consumer corporate governance cross-listed firms Croston’s method data envelopment analysis data set decision demand forecasting developed diffusion economic EM algorithm error estimate Euler density exponential smoothing function HKSE income input intermittent demand inventory Lenny Lenny’s linear dynamic system linear program logistic logistic regression Management Forecasting MAPE market capitalization measures methodology million MODF MTBD multiple listing neural network non-cross-listed firms nonzero demands observations optimal options listed output parameters Population Employment EBI prediction principal component product demand profitability random variates ratio regression analysis RMSE sample seasonal selected shareholders significant smoothing constants standard deviation state-space model statistical supplier supply chain Survey Year Amount techniques total assets trend underlying stock Unemployment Goals City values variables variance volatility volume ZMET