کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
383135 | 660804 | 2013 | 11 صفحه PDF | دانلود رایگان |

Technological innovation process starts with technical discovery of new things or new ways of doing things, i.e., invention. With the commercialization of invention, the term, innovation, takes place instead of invention. The process ends with (duplicative and/or creative) imitation by competitors. It is expected that maximum profits can be achieved in the time interval from commercialization of invention to its imitation because of monopoly power. Therefore, assessing the emergence of invention in accordance with ability for commercialization and resistance for imitation can generate winning innovation intelligence. Besides, for achieving sustainability, disruptive technologies should also be taken into account through evaluation of trendiness of candidate technologies. This study presents a novel assessment process that aims to evaluate and prioritize candidate technologies according to their innovation potentials by considering commercialization, imitation and trendiness factors all together. According to authors’ best knowledge, the technology assessment process presented in this study is the first attempt in the literature that is dedicated to winning innovation intelligence and takes above mentioned factors together into account. Main input resources of the process are patents, scientific publications and market research reports. While trendiness of technologies is evaluated with the help of a fuzzy inference system that combines patent data and publication data, commercial and imitation potentials are evaluated with the help of some marketing indicators and determinants in the proposed assessment process.
► This study presents a novel technology assessment approach.
► Proposed approach takes into account commercialization, imitation and trendiness factors all together.
► Proposed approach aims to evaluate and prioritize technologies with respect to their innovation potentials.
Journal: Expert Systems with Applications - Volume 40, Issue 3, 15 February 2013, Pages 881–891