R&Dケイパビリティの学習プロセスに関する実証研究 : 日本医薬品メーカーを例に
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概要
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The resource-based view aims to attribute firm's competitive advantage to its resources and capabilities. In spite of our enhanced understanding of organizational capability through previous studies and findings, there are undeniable issues to be solved, with measurement of capabilities being the most prominent one. Since capabilities cannot be subject to direct measurement, it is difficult to conceptualize and measure, not to mention we have such inadequate grasp of evolution of firm's capability. So far there have been very few studies focusing on quantitative analysis of capability accumulation process. To fill the gap mentioned above, this paper proposes state-space model based on Bayesian learning, enabling us to visualize the learning process of firm's R&D capability and analyze relevant factors that control the learning process. The paper studies the capability accumulation process and identifies several parameters through a data set of 12 Japanese pharmaceutical firms during 1982 and 2002. Among our findings, the paper concludes that firm's investment decision based on historical capability will be risky, since without continuing investment in R&D, firm's capability will be obsolete in very short time. Also, the paper finds giving preference to develop human capital can help accumulate R&D capability. In addition, the paper finds that firm's size is negatively related to capability formation, which implies the so-called dysfunction of bureaucracy in R&D field.
- 日本経営学会の論文
- 2013-06-15