A Proposed Model for Firm’s Technological Capability Assessment under Uncertain Environment
Le Ngoc Son

 Le Ngoc Son, M.SC, Department of Management and Economics, University of Electronic Science and Technology, Chengdu China.
Manuscript received on 6 April 2014 | Revised Manuscript received on 17 April 2014 | Manuscript Published on 30 April 2014 | PP: 91-95 | Volume-3 Issue-11, April 2014 | Retrieval Number: K16150431114/14©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The recognition of technological level and capability has become one of the most important activities which not only help the firm appraise its strength and weakness, but also guide to plan the technological innovation strategic and enhance the competitive advantages. In this study, firm’s technological capability is determined completely with four components (T – Technoware, H – Humanware, I – Inforware, O – Orgaware) and their criteria using Technology Atlas method, which was developed by Asian and Pacific Center for Technology Transfer. The contribution degrees toward technological capability of each component and criteria in specific industry are determined efficiently rely on fuzzy-AHP. Besides, aggregation of group judgment using a new technique with triangular intuition fuzzy number (IFN) representation makes the decisions more accuracy and efficiency. Our proposed model helps the firm’s managers can easily evaluate their current technological capability keep track of their technological growth, compares with the industrial level and guides to the technological renovation strategy which is one factor to raise competitive advantage.
Keywords: Technological Capability Assessment, Group Aggregation, Analytic Hierarchy Process, Intuitionistic Fuzzy.

Scope of the Article: Environmental Engineering