Bibliometric analysis of information communication technology for sustainable development : a machine-learning-based approach

dc.contributor.authorOosthuizen, Rudolph
dc.contributor.authorPretorius, Leon
dc.date.accessioned2023-08-25T06:15:04Z
dc.date.issued2022
dc.description.abstractPublication of research outputs is a method of researchers to capture their knowledge generated. Analysing the publication topics and trends in a research field can provide insight into the main research trends. A bibliometric analysis, based on the topics from published literature, provides insight into the focus areas and trends of a research field. The objective of this paper is to extract the main research topics from papers on 'sustainable development' and 'information communication technology'. The research topics are extracted from the abstracts and titles of papers using machine-learning for topic modelling. This paper identified the topics of knowledge management, design process, social change, and smart systems, as the primary focus of research into information communication technology for sustainable development. A deeper analysis into smart systems identified quality of citizen life, solutions for the urban setting, energy, and the environment as key research concerns.en_US
dc.description.departmentGraduate School of Technology Management (GSTM)en_US
dc.description.embargo2023-09-16
dc.description.librarianhj2023en_US
dc.description.urihttps://www.inderscience.com/jhome.php?jcode=ijlcen_US
dc.identifier.citationOosthuizen, R. & Pretorius, L. 2022, 'Bibliometric analysis of information communication technology for sustainable development: a machine-learning-based approach', International Journal of Learning and Change, vol. 14, no. 5-6, pp. 537-558, doi : 10.1504/ijlc.2022.126421.en_US
dc.identifier.issn1740-2875 (print)
dc.identifier.issn1740-2883 (online)
dc.identifier.other10.1504/ijlc.2022.126421
dc.identifier.urihttp://hdl.handle.net/2263/92038
dc.language.isoenen_US
dc.publisherInderscienceen_US
dc.rights© 2022 Inderscience Enterprises Ltd.en_US
dc.subjectSustainable developmenten_US
dc.subjectInformation communication technologyen_US
dc.subjectNatural language processingen_US
dc.subjectTopic modellingen_US
dc.subjectBibliometric analysisen_US
dc.subjectLiteratureen_US
dc.subjectMachine-learningen_US
dc.subjectKnowledgeen_US
dc.subjectResearch trendsen_US
dc.subjectResearch roadmapen_US
dc.subjectAbstractsen_US
dc.subjectTitlesen_US
dc.subjectInformation and communication technology (ICT)en_US
dc.subjectSustainable development goals (SDGs)en_US
dc.subjectSDG-09: Industry, innovation and infrastructureen_US
dc.subjectSDG-04: Quality educationen_US
dc.titleBibliometric analysis of information communication technology for sustainable development : a machine-learning-based approachen_US
dc.typePostprint Articleen_US

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