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A study of business management and forecasting. It covers forecasting in transportation; forecasting for water and energy; and the applications of forecasting. It also includes a case study of the Greek airport system.
This volume is part of a blind refereed serial publication published on an annual basis. The objective of this research annual is to present studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making.
Aims to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. The topics in this title include: sales and marketing, forecasting, new product forecasting, judgmentally based forecasting, the application of surveys to forecasting, and more.
Presents advanced studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. This title covers such topics as: sales and marketing, forecasting, new product forecasting, judgmentally-based forecasting, the application of surveys to forecasting, and more.
Includes sections devoted to financial applications of forecasting, as well as demand forecasting. This publication also includes a section on general business applications of forecasting, as well as one on forecasting methodologies.
Intends to present advanced studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. This title includes topics such as: sales and marketing, forecasting, new product forecasting, judgmentally-based forecasting, the application of surveys to forecasting, and sales response models.
Aims to present the studies in the application of forecasting methodologies to such areas as sales, marketing, finance, health care, and strategic decision making.
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. It is the hope and direction of this research annual to become an applications and practitioner oriented publication.
Volume 11 of Advances in Business and Management Forecasting presents state-of-the-art studies in the application of forecasting methodologies to areas including Marketing and Sales, Health Care and Business and Economics.
Volume 12 presents studies in the application of forecasting methodologies to such areas as supply chain, health care, prospecting for donations from university alumni, and the use of clustering and regression in forecasting. The orientation of this volume is for business applications for both the researcher and the practitioner of forecasting.
Volume 13 of Advances in Business and Management Forecasting presents state-of-the-art studies in the application of forecasting methodologies to areas such as sales forecasting, retailing, service contracts, bankruptcy prediction, executive compensation, and call center staffing.
Advances in Business and Management Forecasting presents state-of-the-art studies in the application of forecasting methodologies in such areas as financial forecasting, market demand analysis, executive compensation forecasting, data analysis, forecasting improvement with interpolation and cluster analysis.
Volume 13, Advances in Business and Management Forecasting, is a blind refereed serial publication. It presents state-of-the-art studies in the application of forecasting methodologies to such areas as sales forecasting, retailing, service contracts, bankruptcy prediction, executive compensation, and call center staffing. The orientation of this volume is for business applications for both the researcher and the practitioner of forecasting. Volume 13 is divided into three sections: Marketing, Sales and Service Forecasting; Economic, Financial and Insurance Forecasting; and, CEO Compensation and Operations Forecasting. An interdisciplinary group of experts explore wide-ranging topics including omnichannel retailing, growth business cycles, under-resampling methods to detect non-injured passengers within car accidents and regression modeling of CEO compensation.
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