知识管理
蓝图
计算机科学
资源(消歧)
知识库
差异(会计)
新产品开发
产品生命周期
产品(数学)
科学知识社会学
数据科学
业务
工程类
营销
人工智能
数学
社会学
机械工程
计算机网络
社会科学
几何学
会计
作者
Laura B. Cardinal,Todd M. Alessandri,Scott F. Turner
标识
DOI:10.1108/13673270110393266
摘要
Industry descriptions often depict science‐driven industries as a single industry class, dominated by explicit knowledge in the form of patents, blueprints, diagrams, etc. This one‐dimensional view limits our ability to effectively manage the activities and routines across various stages of a science life cycle. The life cycle concept refers to the extent of development of the underlying scientific knowledge base. The knowledge in developed science fields (e.g. chemicals) is well codified, whereas in developing fields (e.g. biotechnology), it is less so. This variance creates interesting implications for innovation – product development routines will differ across developed and developing sciences. The purpose of this paper is to compare and contrast the knowledge‐ and resource‐based requirements of developed and developing science industries and the link to competitive advantage.
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