Factors Influencing the Performance of Technology Commercialization in the Context of PFROs: a SEM based Approach

Development and validation of an innovative model for the technology commercialization performance through confirmatory factor analysis was attempted in this study. Commercialization of technologies developed in the PFROs of a developing country and offered in the market by the industry was the primary focus. Based upon this, a TCP Model was proposed for the performance of technology commercialization. The empirical analysis uses a reliable and valid questionnaire administered to the purposefully sampled respondents of about 50 Indian PFROs with 254 responses. The developed conceptual model was analyzed using a structural equation model and was evaluated for the goodness of fit. Six factors such as; national policy support, transferee characteristics, transferor characteristics, technology absorption, and adaption capabilities, sectoral infrastructure, and contextual environment are positively correlated with the performance of technology commercialization. The results indicated the primacy of transferee characteristics in conjunction with contextual environment, technology absorption and adoption capabilities, sectoral infrastructure, and transferor characteristics for the performance of technology commercialization with national policy support playing a supporting role. The traditional sectors of agriculture, strategic, bio-medical, and some new areas such as waste management and nanoscience were covered in this study.

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Publication Details

Journal
Journal of Scientific & Industrial Research
Published
2024-10-01
DOI
https://doi.org/10.56042/jsir.v83i10.3311
Primary Topic
Innovation Policy and R&D
Type
article
Field-Weighted Citation Impact
0.00

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article

Factors Influencing the Performance of Technology Commercialization in the Context of PFROs: a SEM based Approach

Journal of Scientific & Industrial Research
Innovation Policy and R&D
article

Factors Influencing the Performance of Technology Commercialization in the Context of PFROs: a SEM based Approach

article en

Abstract

Development and validation of an innovative model for the technology commercialization performance through confirmatory factor analysis was attempted in this study. Commercialization of technologies developed in the PFROs of a developing country and offered in the market by the industry was the primary focus. Based upon this, a TCP Model was proposed for the performance of technology commercialization. The empirical analysis uses a reliable and valid questionnaire administered to the purposefully sampled respondents of about 50 Indian PFROs with 254 responses. The developed conceptual model was analyzed using a structural equation model and was evaluated for the goodness of fit. Six factors such as; national policy support, transferee characteristics, transferor characteristics, technology absorption, and adaption capabilities, sectoral infrastructure, and contextual environment are positively correlated with the performance of technology commercialization. The results indicated the primacy of transferee characteristics in conjunction with contextual environment, technology absorption and adoption capabilities, sectoral infrastructure, and transferor characteristics for the performance of technology commercialization with national policy support playing a supporting role. The traditional sectors of agriculture, strategic, bio-medical, and some new areas such as waste management and nanoscience were covered in this study.

Journal of Scientific & Industrial ResearchVol. 83(10)
Advanced Materials and Processes Research Institute (IN), Central Scientific Instruments Organisation (IN), Academy of Scientific and Innovative Research (IN)
Department of Scientific and Industrial Research, Ministry of Science and Technology, India
Industry, innovation and infrastructure
Openalex Percentile: Top 78%
Innovation Policy and R&D
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Factors Influencing the Performance of Technology Commercialization in the Context of PFROs: a SEM based Approach · Journal of Scientific & Industrial Research (2024) | TGRS Research Map | TGRS