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

Ying Huang, Alan L. Porter, Scott W. Cunningham, Douglas K.R. Robinson, Jianhua Liu and Donghua Zhu

Technological Forecasting and Social Change, 2018, vol. 130, issue C, 165-176

Abstract: 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”).

Keywords: Technology delivery system; Tech mining; Emerging technology; Big Data; Technology assessment; Impact assessment (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:130:y:2018:i:c:p:165-176

DOI: 10.1016/j.techfore.2017.09.012

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