Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/59453

Data-Driven Network Visualization for Innovation and Competitive Intelligence

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Title:Data-Driven Network Visualization for Innovation and Competitive Intelligence
Authors:Sarica, Serhad
Yan, Bowen
Bulato, Gerardo
Jaipurkar, Pratik
Luo, Jianxi
Keywords:Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations
Collaboration Systems and Technologies
Competitive intelligence, data-driven, InnoGPS, innovation, technology space
Date Issued:08 Jan 2019
Abstract:Technology positions of a firm may determine its competitive advantages and innovation opportunities. While a tangible understanding of the technology positions of a firm, i.e., the set of technologies the firm has mastered, can inform innovation and competitive intelligence, yet such positions are heterogeneous, intangible and difficult to analyze. Herein, we present a data-driven network visualization methodology to locate the knowledge positions of a firm as a subspace of the total technology space for innovation and competitive intelligence analytics. The total technology space is empirically constructed as a network map of all patent technology classes and can be overlaid with the knowledge positions of a firm according to its patent records. This paper demonstrates how to use the system to conduct historical, comparative and predictive analyses of the technology positions of individual and different firms. The methodology has been implemented into a cloud-based data-driven visual analytics system – InnoGPS.
Pages/Duration:9 pages
URI:http://hdl.handle.net/10125/59453
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.017
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations


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