Oosthuizen, Rudolph2021-11-172021-11-172021-09Oosthuizen, R. 2021. A bibliometric approach to support redefining management of technology for the post-digital world. http://hdl.handle.net/10204/12154 .http://hdl.handle.net/10204/12154Management of Technology (MoT) has evolved since its inception in the 1980s and definitions from the 1990s. However, the field's definition may not be keeping up with the ever-increasing changes in our world. This paper implements bibliometrics, through natural language processing and topic modelling, of published literature on MoT to trace the evolution of research focus areas. The processed literature consists of an extensive sample from a keyword search of publication databases. Analysing the topic priorities over time indicates how research in the field evolved. Comparing these focus areas to the different definitions provide inputs for improving the definition of MoT. The topics extracted in this paper over the history of MoT offers a base from where to initiate such an investigation.FulltextenManagement of TechnologyMoTMachine learningA bibliometric approach to support redefining management of technology for the post-digital worldConference PresentationOosthuizen, R. (2021). A bibliometric approach to support redefining management of technology for the post-digital world. http://hdl.handle.net/10204/12154Oosthuizen, Rudolph. "A bibliometric approach to support redefining management of technology for the post-digital world." <i>IAMOT 2021 Conference, Cairo, Egypt, 19-23 September 2021</i> (2021): http://hdl.handle.net/10204/12154Oosthuizen R, A bibliometric approach to support redefining management of technology for the post-digital world; 2021. http://hdl.handle.net/10204/12154 .TY - Conference Presentation AU - Oosthuizen, Rudolph AB - Management of Technology (MoT) has evolved since its inception in the 1980s and definitions from the 1990s. However, the field's definition may not be keeping up with the ever-increasing changes in our world. This paper implements bibliometrics, through natural language processing and topic modelling, of published literature on MoT to trace the evolution of research focus areas. The processed literature consists of an extensive sample from a keyword search of publication databases. Analysing the topic priorities over time indicates how research in the field evolved. Comparing these focus areas to the different definitions provide inputs for improving the definition of MoT. The topics extracted in this paper over the history of MoT offers a base from where to initiate such an investigation. DA - 2021-09 DB - ResearchSpace DP - CSIR J1 - IAMOT 2021 Conference, Cairo, Egypt, 19-23 September 2021 KW - Management of Technology KW - MoT KW - Machine learning LK - https://researchspace.csir.co.za PY - 2021 T1 - A bibliometric approach to support redefining management of technology for the post-digital world TI - A bibliometric approach to support redefining management of technology for the post-digital world UR - http://hdl.handle.net/10204/12154 ER -25127