Analysis of Factors Affecting Technology Transfer Effectiveness by Fuzzy If-Then Rules

Document Type : Original Article

Authors

1 Assistant Professor, Mazandaran University.

2 Associate Professor, Mazandaran University.

3 MA Student, Mazandaran University.

Abstract

Technology is widely accepted as necessary for improving development programs to achieve higher living standards, especially in developing countries where industrial growth plays a very significant role. There are many aspects in the transfer process that need to be considered and a number of potential barriers to overcome. Many of the TT projects fail to produce desired results due to lack of careful planning. In order to provide understanding of TT’s influential factors for both parties, this paper adopted the method of FAHP to determine and prioritize the importance of these factors in Irankhodro Company (IKCO). Also, this study develops a Fuzzy rule-based analysis to evaluate the effectiveness of TT. It helps this company to evaluate the feasibility of TT. This study finds that government, product life cycle, market scale and complexity of technology are highly influential. These factors must be considered when the company decides to implement TT activity.

Keywords

References

1. Farsijani, Hassan and Timurid, Mehdi., (1). "Investigating the Success Factors of Technology Transfer to Achieve World Class - Case Study: Hepco Company". The Perspective on Management, 2, pp. 2-4.
2. Garousi Mokhtarzadeh (2008). "Identification and Evaluation of Factors Affecting the Transmission of L90 Vehicle Production Technology in Iran". (M.Sc. thesis), University of Tehran.
3. Namdar Zanganeh, Sudabeh., (1) Providing a hybrid model for identifying the factors affecting the effectiveness of technology transfer projects in Iranian electrical equipment manufacturing companies. (Doctoral dissertation), Tarbiat Modarres University.
4. Chan, L., & Daim, T. U. (2011). Technology transfer in China: literature review and policy implications. Science and Technology Policy in China, 2 (2), 122-145. DOI: 10.1108 / 17585521111155192.
5. Cui, A. S., Griffith, D. A., Cavusgil, S. T., & Dabic, M. (2006). The influence of market and cultural environmental factors on technology transfer between foreign MNCs and local subsidiaries: A Croatian illustration. World Business, 41, 100–111. DOI: 10.1016 / j.jwb.2006.01.011.
6. Gogus, O., & Boucher, T. O., (1998). Strong transitivity, rationality and weak monotonicity in fuzzy pairwise comparisons. Fuzzy Sets and Systems, 94, 133-144.
7. Jabar, J., Soosay, C., & Santa, R. (2011). Organizational learning as an antecedent of technology transfer and new product development: A study of manufacturing firms in Malaysia. Manufacturing Technology Management, 22 (1), 25-45. DOI: 10.1108 / 17410381111099798.
8. Jagoda, K., Maheshwari, B., & Lonseth, R. (2010). Key issues in managing technology transfer projects Experiences from a Canadian SME. Decision Management, 48 (3), 366-382. DOI: 10.1108 / 00251741011037747.
9. Jasinski, A. H. (2009). Barriers to technology transfer: the case of a country in transition. Technology Management in China, 4 (2), 119-131, DOI: 10.1108 / 17468770910964984.
10. Kumar, U., Kumar, V., Dutta, S., & Fantazy, K. (2007). State sponsored large scale technology transfer project in a developing country context. Technology Transfer, 32, 629-644. DOI: 10.1007 / s10961-006-8880-7.
11. Lai, W. & Tsai, C., (2009). Fuzzy rule-based analysis of firm's technology transfer in Taiwan's machinery industry, Expert Systems with Applications, 36, 12012-12022. DOI: 10.1016 / j.eswa.2009.03.054.
12. Magnusson, T. & Johansson, G., (2008). Managing internal technology transfer in complex product development. European Journal of Innovation Management, 11 (3), 349-365. DOI: 10.1108 / 14601060810889008.
13. Morrissey, T. M., & Almonacid, S. (2005). Rethinking technology transfer. Food Engineering, 67, 135-145. DOI: 10.1016 / j.jfoodeng.2004.05.057.
14. Nahar, N., Lyytinen, K., Huda, N. & Muravyov, S. V., (2006). Success factors for information technology supported international technology transfer: Finding expert consensus. Information & Management, 43, 663–677. DOI: 10.1016 / j.im.2005.02.002.
Journal of Industrial Management Perspective
Volume 2, Issue 2 - Serial Number 6
September 2012
Pages 67-87

Files

Share

How to cite

Statistics