趋同(经济学)
概念框架
计算机科学
过程(计算)
技术融合
鉴定(生物学)
能力(人力资源)
航程(航空)
领域(数学分析)
预测(人工智能)
数据科学
工业工程
风险分析(工程)
产业组织
业务
经济
工程类
人工智能
电信
数学
生物
数学分析
哲学
认识论
航空航天工程
植物
管理
经济增长
操作系统
作者
Nathalie Sick,Nina Preschitschek,Jens Leker,Stefanie Bröring
出处
期刊:Technovation
[Elsevier]
日期:2018-08-22
卷期号:84-85: 48-58
被引量:68
标识
DOI:10.1016/j.technovation.2018.08.001
摘要
The process of convergence, from science and technology convergence to that of markets as well as entire industries can be witnessed in a range of different high technology environments such as IT and NanoBiotech. Although this phenomenon has been subject of analysis in an increasing number of studies, the notion of industry convergence – the final step of a full convergence process - still lacks a common definition. The missing conceptual definition of what industry convergence really is and how it can be assessed impedes both analyses and monitoring - let alone its anticipation. To address the missing conceptual definition of the final step in convergence, this paper seeks to develop a framework based on novel indicators that enable identifying and monitoring trends of industry convergence in high technology environments. Building on indicators in the domain of collaboration, a framework, which distinguishes different stages and types of industry convergence is developed. Subsequently, the newly developed framework is empirically illustrated in the area of stationary energy storage based on publicly available data. To this end, the full text database Nexis is used to conduct a search in news reports on collaborations in the domain of stationary energy storage. The study contributes to the growing body of convergence literature by providing a novel framework allowing the identification of not only industry convergence as the final step of the convergence process but also the classification of its type. Practical implications include an orientation for companies in converging environments on when and how to close the resulting technology and market competence gaps.
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