Issue |
MATEC Web Conf.
Volume 137, 2017
Modern Technologies in Manufacturing (MTeM 2017 - AMaTUC)
|
|
---|---|---|
Article Number | 07001 | |
Number of page(s) | 6 | |
Section | Environmental Engineering | |
DOI | https://doi.org/10.1051/matecconf/201713707001 | |
Published online | 22 November 2017 |
An innovation diffusion model for new mobile technologies acceptance
1 Faculty of Machine Building, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania
2 Center for Innovation and Organizational Sustainability, Cluj-Napoca 400609, Romania
* Corresponding author: simina.lakatos@mis.utcluj.ro
This paper aims to approach the diffusion model developed in 1960 by Frank Bass has been utilized to study the distribution of different types of new products and services. The Bass Model helps by describing the process in which new products are adopted in a market. This model is a useful tool for predicting the first purchase of an innovative product for which there are competing alternatives on the market. It also provides the innovator with information regarding the size of customers and the adoption time for the product. The second part of the paper is dedicated to a monographic study of specific conceptual correlations between the diffusion of technology and marketing management that emphasizes technological uncertainty and market uncertainty as major risks to innovative projects. In the final section, the results of empirical research conducted in Baia-Mare, Romania will be presented in a way that uses diffusion Bass model to estimate the adoption period for new mobile technologies.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.