The R&D logic model: Does it really work? An empirical verification using successive binary logistic regression models

Sungmin Park ()
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Sungmin Park: Baekseok University

Scientometrics, 2015, vol. 105, issue 3, No 4, 1399-1439

Abstract: Abstract The present study examines that a research and development (R&D) performance creation process conforms to the stepwise chain structure of a typical R&D logic model regarding a national technology innovation R&D program. Based on a series of successive binary logistic regression models newly proposed in the present study, a sample of n = 929 completed government-sponsored R&D projects was analyzed empirically. Sensitivity analyses are summarized where the performance creation success probability is predicted for some key R&D performance factors.

Keywords: Binary logistic regression; Performance evaluation; Probability prediction; R&D logic model; Sensitivity analysis; Sequential estimation; 62G05; 62L12; 62P20 (search for similar items in EconPapers)
JEL-codes: C35 O32 O38 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11192-015-1764-6

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