Modelling mobile technology growth using diffusion models and Neural Networks Online publication date: Thu, 29-Oct-2009
by Somnath Mukhopadhyay, Kallol Bagchi, Godwin J. Udo
International Journal of Electronic Business (IJEB), Vol. 7, No. 6, 2009
Abstract: It is important for market planners and managers of Multi-National Enterprises (MNEs) to forecast global adoption of information technology for efficient market planning. This study builds two pure diffusion models, two popular time-series forecasting models, and one simple Neural Network (NN) model to predict mobile technology growth in 30 Organisation of European Council for Development (OECD) countries, the European Economic and Monetary Union (EMU) of the European Union (EU), and four non-OECD emerging nations. We compare the performances of all models on new samples. The results show that the NN model is superior to all other models.
Online publication date: Thu, 29-Oct-2009
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Electronic Business (IJEB):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org