The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 19-842
Full Name: R Siriram
Position: Other
Age: ON
Sex: Male
Address: Dimension Data, The Campus, 57 Sloane Street, Bryanston, 2021
Country: SOUTH AFRICA
Tel: +27115766702
Tel prefix:
Fax: +27115766702
E-mail address: raj.siriram@mea.dimensiondata.com
Other E-mails: frances.hughes@za.didata.com
Title of the Paper: Exploring integration between mathematical forecasting and intuitive techniques for better decision making
Authors as they appear in the Paper: R. Siriram
Email addresses of all the authors: raj.siriram@mea.dimensiondata.com
Number of paper pages: 11
Abstract: Mathematical models are used to forecast new product sales. Forecasting using mathematical methods have been criticized by many researchers, as the forecasts are often not sufficiently accurate to be applied to business decisions. Forecasting new product sales may be improved by using intuitive techniques. In this paper intuitive techniques are applied to mathematical forecasting models. Many researchers have opted for rigours mathematical forecasting techniques other researchers have explored opportunities for investigating different paths of growth in terms of forecasting. In this paper an integrative approach exploring opportunities for combining mathematical forecasting and intuitive techniques is explored. This integrative approach may lead to better decision making. A growth curve predication model is developed; in addition a reference data set is used to validate the outputs, providing important lessons for managers.
Keywords: Mathematical forecasting, intuitive techniques, decision making.
EXTENSION of the file: .doc
Special (Invited) Session: Combining mathematical forecasting with intuitive techniques for better decision making
Organizer of the Session: 202-176
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