TY - JOUR
T1 - A technology delivery system for characterizing the supply side of technology emergence
T2 - Illustrated for Big Data & Analytics
AU - Huang, Ying
AU - Porter, Alan L.
AU - Cunningham, Scott W.
AU - Robinson, Douglas K R
AU - Liu, Jianhua
AU - Zhu, Donghua
PY - 2017
Y1 - 2017
N2 - 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").
AB - 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").
KW - Big Data
KW - Emerging technology
KW - Impact assessment
KW - Tech mining
KW - Technology assessment
KW - Technology delivery system
UR - http://www.scopus.com/inward/record.url?scp=85029666542&partnerID=8YFLogxK
U2 - 10.1016/j.techfore.2017.09.012
DO - 10.1016/j.techfore.2017.09.012
M3 - Article
AN - SCOPUS:85029666542
SN - 0040-1625
JO - Technological Forecasting and Social Change
JF - Technological Forecasting and Social Change
ER -