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ASTUDYOFPERFORMANCE INDICA TORS OF TECHNOLOGYBUSINESS INCUBA TORS (TBIs) IN INDIA


Affiliations
1 Research Scholar , Department of Business Administration, FMS&R, AMU, Aligarh, India
2 Associate Professor , Department of Business Administration, FMS&R, AMU, Aligarh, India
3 Former V ice Chancellor , SMVD University , Katra, J&K, India
 

A business incubator is characterized as a point of contact between the market and the entrepreneurs' proposed business concepts. It includes provision of differential facilities like infrastructure, mentorship, capital and expertise so that there is effective utilization of creativity and ability . This research work assess the performance of technological business incubators (TBIs) based on no. of patent granted, support services offered by TBI, services offered in TBI, selection criteria for incubate, exit criteria for incubatee, academia linkage, corporate linkage, nature of functioning as a performance indicator . Partial least squares structural equation modelling (PLS-SEM) was employed for testing the significance of hypotheses. Findings show that no. of patent granted, selection criteria for incubatee, corporate linkage, and nature of functioning of TBI have a significant influence on TBI success.
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  • ASTUDYOFPERFORMANCE INDICA TORS OF TECHNOLOGYBUSINESS INCUBA TORS (TBIs) IN INDIA

Abstract Views: 220  |  PDF Views: 138

Authors

Vishal Gandhi
Research Scholar , Department of Business Administration, FMS&R, AMU, Aligarh, India
Dr .Asif Ali Syed
Associate Professor , Department of Business Administration, FMS&R, AMU, Aligarh, India
Sudhir Kumar Jain
Former V ice Chancellor , SMVD University , Katra, J&K, India

Abstract


A business incubator is characterized as a point of contact between the market and the entrepreneurs' proposed business concepts. It includes provision of differential facilities like infrastructure, mentorship, capital and expertise so that there is effective utilization of creativity and ability . This research work assess the performance of technological business incubators (TBIs) based on no. of patent granted, support services offered by TBI, services offered in TBI, selection criteria for incubate, exit criteria for incubatee, academia linkage, corporate linkage, nature of functioning as a performance indicator . Partial least squares structural equation modelling (PLS-SEM) was employed for testing the significance of hypotheses. Findings show that no. of patent granted, selection criteria for incubatee, corporate linkage, and nature of functioning of TBI have a significant influence on TBI success.

References