A technology delivery system for characterizing the supply side of technology emergence: Illustrated for Big Data & Analytics

作者：Huang, Ying; Porter, Alan L.; Cunningham, Scott W.; Robinson, Douglas K. R.; Liu, Jianhua; Zhu, Donghua^*

来源：Technological Forecasting and Social Change, 2018, 130: 165-176.

DOI：10.1016/j.techfore.2017.09.012

• Technology delivery system
• Tech mining
• Emerging technology
• Big Data
• Technology assessment
• Impact assessment

While there is a general recognition that breakthrough innovation is non-linear and requires an alignment between producers (supply) and users (demand), there is still a need for strategic intelligence about the emerging supply chains of new technological innovations. This technology delivery system (TDS) is an updated form of the TDS model and provides a promising chain-link approach to the supply side of innovation. Building on early research into supply-side TDS studies, we present a systematic approach to building a TDS model that includes four phases: (1) identifying the macroeconomic and policy environment, including market competition, financial investment, and industrial policy; (2) specifying the key public and private institutions; (3) addressing the core technical complements and their owners, then tracing their interactions through information linkages and technology transfers; and (4) depicting the market prospects and evaluating the potential profound influences on technological change and social developments. Our TDS methodology is illustrated using the field of Big Data & Analytics ("BDA").

• 出版日期2018-5
• 单位中国科学院文献情报中心; 北京理工大学