This paper presents a model that seeks to understand and explain R&D performance differences in research‐intensive companies. The primary theoretical model builds on the well‐established theory of science as a public good but augments it with a game‐theoretic argument for individual firm choices of scientific information openness or secrecy. The first research question we address is how a firm's scientific information openness, as measured by its research publications, impacts the firm's stock of technical knowledge. Additionally, we explore two predictor variables of scientific information openness: research lab and top management team demographics. The possible economic effects and other managerial implications of this model are also discussed.
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McMillan et al. (1995) studied this question.