Differences in technology innovation R&D performance creation behavior between for-profit institutions and not-for-profit institutions.
The present study compares the performance creation behavior between for-profit institutions and not-for-profit institutions within a national technology innovation research and development (R&D) program. Based on the stepwise performance creation chain structure of typical R&D logic models, a series of successive binary logistic regression models is newly proposed. Using the models, a sample of n = 2076 completed government-sponsored R&D projects was analyzed. For each institution type, its distinctive behavior is diagnosed, and relevant implications are suggested for improving the R&D performance.
Department of Business Administration, Baekseok University, Cheonan, 330-704 Republic of Korea.
Sungmin
S
Park
Data splitting; For-profit institutions; Not-for-profit institutions; R&D collaboration; Stepwise performance creation; Successive binary logistic regression