{"title":"A BIBLIOMETRIC APPROACH TO SUPPORT REDEFINING MANAGEMENT OF TECHNOLOGY FOR THE POST-DIGITAL WORLD","authors":"R. Oosthuizen","doi":"10.52202/060557-0006","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":388149,"journal":{"name":"30th Annual Conference of the International Association for Management of Technology (IAMOT 2021)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"30th Annual Conference of the International Association for Management of Technology (IAMOT 2021)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52202/060557-0006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.