dc.contributor.author |
Oosthuizen, Rudolph
|
|
dc.contributor.author |
Pretorius, L
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|
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 -
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en_ZA |