Please use this identifier to cite or link to this item:
|Title:||On the Selection of Growth-Curve Models for Forecasting the Diffusion of IT Technologies|
|Abstract:||Several growth-curve forecasting models are compared with respect to empirical data sets from IT industry of Korea and attempt is made to suggest a case-wise guiding principle in terms of technology (service) type and data length. It turns out, as expected, no single model consistently outperforms others across all data sets. Instead, for a given data type, we can determine which models should be recommended and which should be avoided. A good practice then is to evaluate two or three preferred models in terms of multiple performance measures and make a final decision based on the results. The practical usefulness of the select ion guideline is confirmed by practitioners of some principal IT firms in Korea.|
|ISSN:||0975-1084 (Online); 0022-4456 (Print)|
|Appears in Collections:||JSIR Vol.59(11) [November 2000]|
Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.