STRUCTURAL EQUATION MODELING (SEM) APPROACH TO IDENTIFY CRITICAL SUCCESS FACTORS OF TECHNOLOGY TRANSFER: AN EMPIRICAL ANALYSIS FROM INDIAN CONTEXT

Author(s):
H. Purushotham1a, Sridhar Vaithianathan2b, Ch. Shyam Sunder3c

Author Affiliation:
1National Research Development Corporation, 20-22 Zamrudpur Community Centre, Kailash Colony Extension, New Delhi-110048, India
2Department of Operations and Business Analytics, Institute of Management Technology (IMT), Hyderabad, India
3Department of Business Management, Osmania University, Hyderabad-500007, AP, India

This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Abstract

The aim of the present study is to identify the critical success factors for successful technology transfer across the technology transfer project life cycle. The study analyzed the critical factors influencing successful technology transfer from Indian publicly funded R&D institutions to the industry. Through content analysis, 27 influencing variables were identified. The perceptions of 734survey respondents were obtained through questionnaire survey on the relevance and importance of these 27 variables on a Likert scale. The conceptual model was proposed that included five factors which were considered to influence successful technology transfer. The survey data was analyzed using structural equation modeling (SEM) technique. The model fit indices were found to be significant for both the measurement model and structural model. The results of the SEM analysis showed that among the five factors, technology transferor factors, market factors and financial factors play a major role in successful transfer of technology. Based on these findings, recommendations to technology transferors, technology receivers and government were proposed in order to ensure and facilitate the successful technology transfer.

KEYWORDS:
Technology transfer; publicly funded Indian R&D institutions; structural equation modeling; key successful factors; Public-Private-Partnership (PPP) projects; university-industry technology transfer model