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Determining the Life Cycle Phase of a Technology Based on Patent Data
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, Croatia.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Human and technology. University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, Croatia.ORCID iD: 0000-0001-9700-008x
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, Croatia.
2019 (English)In: Technical Gazette, ISSN 1330-3651, E-ISSN 1848-6339, Vol. 26, no 1, p. 222-229Article in journal (Refereed) Published
Abstract [en]

Developing new technologies is one of the most important goals of today’s scientific and industrial research. Understanding how technology evolves, as well as its current state, is invaluable in an ecosystem where technology is evolving at an increasingly rapid pace. In this paper, patent data is used to determine a technology’s life cycle. Two patent maps are created, one based on patent citations and one based on keywords. The citation patent map visualizes how patents cite each other, while the keyword patent maps visualize keywords used to describe patents and their relations. Both of these patent maps are dynamic, meaning they change over time thus giving insight into an examined technology’s evolution. A growth analysis of both networks is conducted as well as a degree distribution analysis. Both of these analyses are used to help determine the technology’s lifecycle phase as well as its patterns of growth. This insight is invaluable to stakeholders tasked to make strategic decisions related to technology development.

Place, publisher, year, edition, pages
University of Osijek , 2019. Vol. 26, no 1, p. 222-229
Keywords [en]
Life Cycle Analysis, patent analysis, tech mining, technology evolution
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Product Innovation
Identifiers
URN: urn:nbn:se:ltu:diva-73161DOI: 10.17559/TV-20171123182106ISI: 000458827900032Scopus ID: 2-s2.0-85063504012OAI: oai:DiVA.org:ltu-73161DiVA, id: diva2:1295329
Note

Validerad;2019;Nivå 2;2019-03-11 (johcin)

Available from: 2019-03-11 Created: 2019-03-11 Last updated: 2019-04-11Bibliographically approved

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Štorga, Mario

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  • apa
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