代理(统计)
多元化(营销策略)
隐性知识
智力资本
技术变革
知识管理
知识产权
业务
产业组织
利用
知识库
多样性(政治)
知识经济
营销
经济
计算机科学
社会学
计算机安全
机器学习
万维网
人类学
宏观经济学
操作系统
作者
Ali Esfandyarpour,Mohammad Reza Arasti,Mohammad Saleh Farazi,Iman Miremadi
摘要
In the current knowledge‐intensive economy, a firm's intellectual capital refers to its idiosyncratic internal and external knowledge‐related assets. While technological knowledge is a major constituent of intellectual capital, past research has often equated it with technological capability. However, technological capability includes not only codified knowledge, but also tacit know‐how that is not captured by formal intellectual property. We argue that while a firm's patents might serve as a proxy for measuring its base of technological knowledge, they are not a good proxy for a firm's technological capabilities. Therefore, we offer a novel approach based on a machine learning technique to capture a biopharmaceutical firm's technological capabilities using the clinical trials that it carries out. Picturing a hypothetical journey where firms transform and exploit technological knowledge to move towards building technological capabilities, we address a research gap on the link between a firm's depth and breadth of technological knowledge on the one hand, and its technology diversity on the other. Analyzing a sample of 204 biopharma firms from 2006 to 2018, we find a positive relationship between the breadth of technological knowledge and technology diversity in a firm. In contrast, the relationship between the depth of technological knowledge and technology diversity is negative. We also find that in the presence of product/market diversification, the positive relationship between the breadth of technological knowledge and technology diversity is stronger. Implications for research and practice are also discussed.
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