About: Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network
Creator	Park, Inchae Yoon, Byungun
source	Elsevier; Medline; PMC
abstract	As technological convergence has recently become a mainstream innovation trend, technological opportunities need to be explored in heterogeneous technology fields. Most of the previous convergence studies have taken a retrospective view in measuring the degree of convergence and monitoring the converging trends. This paper proposes a quantitative future-oriented approach to technological opportunity discovery for convergence using patent information. In a future-oriented approach, technological opportunities for convergence are suggested by predicting potential technological knowledge flows (TKFs) between heterogeneous fields. The potential TKFs are predicted by a link prediction method in a directed network, which is suggested in this paper to represent the direction of the predicted TKFs by adapting the concept of bibliographic coupling and edge-betweenness centrality. Converging technological opportunities are proposed as incremental and radical technological opportunities by extracting the potential increased knowledge flow links and emerging knowledge flow links. Moreover, the direction and themes of the predicted potential TKFs are provided as technological opportunities for convergence. As an illustration of the proposed method, the technological opportunities between biotechnology (BT) and information technology (IT) are explored. Firms and researchers can use the proposed method to seek out new technological opportunities from various technologies so that R&D policymakers can plan new R&D projects on technological convergence.
has issue date	2018-10-12(xsd:dateTime)
bibo:doi	10.1016/j.joi.2018.09.007
bibo:pmid	32336982
has license	no-cc
sha1sum (hex)	ecb07fb40813c176badbc3c623640230c5fcbc1e
schema:url	https://doi.org/10.1016/j.joi.2018.09.007
resource representing a document's title	Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network
has PubMed Central identifier	PMC7172972
has PubMed identifier	32336982
schema:publication	J Informetr
resource representing a document's body	covid:ecb07fb40813c176badbc3c623640230c5fcbc1e#body_text
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