Adaptation set of factors for assessing the commercial potential of technologies in different technology manufacturing branches

    Vaida Zemlickienė   Affiliation


In the course of previous research, it has been revealed, that specifics of different technology manufacturing branches are important for assessing the commercial potential. Several technology manufacturing branches already had big input from past and now cover the most promising part of the national economy. For these reasons, it was decided to customize the model for assessing the commercial potential to biotechnology, mechatronics, laser technology, information technology, nanoelectronics. Development of a set of factors for assessing commercial potential for different technology manufacturing branches is the first stage of the model’s customization process and the main purpose of this article. The next steps will include an expert study aimed at clarifying a set of factors based on the literature analysis, identifying the significance and the meanings of factor values. The literature of technology management did not take into account the specifics of the different technology manufacturing branches, therefore sources analysing the problems of intellectual property law, problems of different engineering sciences was used. With the help of the aforementioned literature in order to adapt the set of factors to each technology manufacturing branch aims to identify the challenges and problems are faced by representatives of different technology manufacturing branches in the process commercialization.

Publishing costs of the article were partially funded by the project “Publication and Coordination of Scientific Periodicals, 2016–2019” (Code No. 09.3.3-ESFA-V-711-01-0004, No. PML-2016/03).

Keyword : adaptation set of factors, specifics of different technology manufacturing branches, assessment of the commercial potential, multiple criteria decision making (MCDM), biotechnology, mechatronics, laser technology, information technology, nanoelectronics

How to Cite
Zemlickienė, V. (2018). Adaptation set of factors for assessing the commercial potential of technologies in different technology manufacturing branches. Business, Management and Education, 16, 206-221.
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Nov 14, 2018
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Belton, V., & Stewart, T. (2002). Multiple criteria decision analysis: an integrated approach. Kluwer Academic Publishers. Springer Science and Business Media.

Cho, J., & Lee, J. (2013). Development of a new technology product evaluation model for assessing commercialization opportunities using Delphi method and fuzzy AHP approach. Expert Systems with Applications, 40, 5314-5330.

Dereli, T., & Altun, K. (2013). A novel approach for assessment of candidate technologies with respect to their innovation potentials: quick innovation intelligence process. Expert Systems with Applications, 40(3), 881-891.

EPO (European Patent Office). (2012). Retrieved from

Ferreira, A., & Franco, M. (2017). The mediating effect of intellectual capital in the relationship between strategic alliances and organizational performance in Portuguese technology-based SMEs. European Management Review, 14(3), 303-318.

Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making methods and applications. Berlin: Springer-Verlag.

International Islamic University Malaysia. (2017). Evaluation criteria for commercial potential award. Retrieved from

Khalique, M., Bontis, N., Shaari, A. N. B. J., & Isa, A. H. I. (2015). Intellectual capital in small and medium enterprises in Pakistan. Journal of Intellectual Capital, 16(1), 224-238.

Kiškis, M., & Limba, T. (2016). Monografija: biotechnologijų MVĮ intelektinės nuosavybės strategijos. Mykolas Romeris University. Vilnius, Lithuania.

Lithuanian Laser Association. (2017). Laser technologies in Lithuania. Retrieved from

Mamzer, M. F., Sophie Duboisb, S., & Saoutc, Ch. (2018). How to strengthen the presence of patients in health technology assessments conducted by the health authorities, Therapie, 73, 95-105.

NASA (The National Aeronautics and Space Administration). (2017). Method of selection and evaluation criteria. Retrieved from

Neumann, F. (2015). Chapter 2: mechatronic product development. Analyzing and modeling interdisciplinary product development (pp. 23-32). Springer Fachmedien Wiesbaden.

Ozcan, S., & Islam, N. (2017). An empirical study of nanowire technological trends. The Journal of High Technology Management Research, 28(2), 246-260.

Park, J. H., Kim, Y. B., & Kim, M. K. (2017). Investigating factors influencing the market success or failure of IT services in Korea. International Journal of Information Management, 37, 1418-1427.

Price, C., Huston, R., & Meyers, A. D. (2008). A new approach to improve technology commercialisation in university medical schools. Journal of Commercial Biotechnology, 14(2), 96-102.

Schafer, W., & Wehrheim, H. (2007, 23-25 May). The challenges of building advanced mechatronic systems. Future of Software Engineering (FOSE ‘07). Minneapolis, MN, USA. IEEE.

SearchDataCenter. (2018). Retrieved from

Soo, C., Tian, A. W., Teo, S. T., & Cordery, J. (2017). Intellectual capital-enhancing HR, absorptive capacity, and innovation. Human Resource Management, 56(3), 431-454.

Stetter, R., Pulm, U. (2009, 24-27 August). Problems and chances in industrial mechatronic product development. International Conference On Engineering Desing. Standford University, Standford, CA, USA.

Tsai, Ch. H., Wu, H. W., Chen, I. S., Chen, J. K., & Ye, R. W. (2017). Exploring benchmark corporations in the semiconductor industry based on efficiency. The Journal of High Technology Management Research, 28(2), 188-207.

Vasantha, G., Roy, R., & Corney, J. (2014). Challenges and opportunities in transforming laser system industry to deliver integrated product and service offers. In L. M. Camarintha-Matos, & H. Afsarmanesh (Eds.), Collaborative Systems for Smart Networked Environments. PRO-VE 2014. IFIP

Advances in Information and Communication Technology, 434. Springer, Berlin, Heidelberg.

VentureQuest Ltd. (2015). Online diagnostic tools, importance tree. Retrieved from

Volpatti, L. R., & Yetisen, A. K. (2014). Commercialization of microfluidic devices. Trends in Biotechnology, 32(7), 347-350.

Vu, Ch. H. T., Lee, H. G., Chan, Y. K., & Oh, H. M. (2018). Axenic cultures for microalgal biotechnology: establishment, assessment, maintenance, and applications. Biotechnology Advances, 36(2), 380-396.

WIPO (The World Intellectual Property Organization). (2005). Exchanging value: negotiating. Technology. Licensing agreements. Retrieved from

Zemlickienė, V. (2015). Assessment of the commercial potential of technologies (Doctoral Dissertation). Vilnius Gediminas Technical University.

Zemlickienė, V., Bublienė, R., & Jakubavičius, A. (2018). A model for assessing the commercial potential of high technologies. Oeconomia Copernicana, 9(1), 29-54.

Zemlickienė, V., Mačiulis, A., & Tvaronavičienė, M. (2017). Factors impacting the commercial potential of technologies: expert approach. Technological and Economic Development of Economy, 23(2), 410-427.