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Bibliometric analysis of technology management research topic trends

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dc.contributor.author Oosthuizen, Rudolph
dc.contributor.author Pretorius, L
dc.date.accessioned 2021-01-17T15:47:11Z
dc.date.available 2021-01-17T15:47:11Z
dc.date.issued 2020-09
dc.identifier.citation Oosthuizen, R. & Pretorius, L. 2020. Bibliometric analysis of technology management research topic trends. In: 29th International Conference of the International Association for Management of Technology (IAMOT), Towards the Digital World & Industry X.0.Egypt, 13-17 September 2020 (Online) en_US
dc.identifier.isbn 978-1-77592-195-0
dc.identifier.uri http://www.iamot2020.com/wp-content/uploads/2020/09/IAMOT2020-Agenda-website-V12444.pdf
dc.identifier.uri http://hdl.handle.net/10204/11714
dc.description Copyright: 2020 Elsevier. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. The definitive version of the work is published in 29th International Conference of the International Association for Management of Technology (IAMOT), Towards the Digital World & Industry X.0.Egypt, 13-17 September 2020 (Online) en_US
dc.description.abstract Published research is a good indicator on the trends and maturity of a scientific discipline. Bibliometric analysis is a valuable tool to assess published research. Since Technology Management is still a growing discipline, it requires a research roadmap, taking into account past research trends to derive the requirement for future growth. This paper determines the main research topics published in the Journal of Engineering and Technology Management, Technovation and Journal of Technology Analysis & Strategic Management. Natural Language Processing with Topic modelling is applied to extract the main topics from the abstracts and topics of these papers. Polynomial trends of the topics from these journals indicate which are rising or declining in popularity. Plotting the resulting trends assists in identification of research opportunities in Technology Management. en_US
dc.language.iso en en_US
dc.publisher Graduate School of Technology Management, University of Pretoria & Media Chef CC. en_US
dc.relation.ispartofseries Workflow;23984
dc.subject Published research en_US
dc.subject Bibliometric analysis en_US
dc.title Bibliometric analysis of technology management research topic trends en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Oosthuizen, R., & Pretorius, L. (2020). Bibliometric analysis of technology management research topic trends. Graduate School of Technology Management, University of Pretoria & Media Chef CC.. http://hdl.handle.net/10204/11714 en_ZA
dc.identifier.chicagocitation Oosthuizen, Rudolph, and L Pretorius. "Bibliometric analysis of technology management research topic trends." (2020): http://hdl.handle.net/10204/11714 en_ZA
dc.identifier.vancouvercitation Oosthuizen R, Pretorius L, Bibliometric analysis of technology management research topic trends; Graduate School of Technology Management, University of Pretoria & Media Chef CC.; 2020. http://hdl.handle.net/10204/11714 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Oosthuizen, Rudolph AU - Pretorius, L AB - Published research is a good indicator on the trends and maturity of a scientific discipline. Bibliometric analysis is a valuable tool to assess published research. Since Technology Management is still a growing discipline, it requires a research roadmap, taking into account past research trends to derive the requirement for future growth. This paper determines the main research topics published in the Journal of Engineering and Technology Management, Technovation and Journal of Technology Analysis & Strategic Management. Natural Language Processing with Topic modelling is applied to extract the main topics from the abstracts and topics of these papers. Polynomial trends of the topics from these journals indicate which are rising or declining in popularity. Plotting the resulting trends assists in identification of research opportunities in Technology Management. DA - 2020-09 DB - ResearchSpace DP - CSIR KW - Published research KW - Bibliometric analysis LK - https://researchspace.csir.co.za PY - 2020 SM - 978-1-77592-195-0 T1 - Bibliometric analysis of technology management research topic trends TI - Bibliometric analysis of technology management research topic trends UR - http://hdl.handle.net/10204/11714 ER - en_ZA


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