ERIC Number: EJ1354306
Record Type: Journal
Publication Date: 2022
Pages: 22
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1740-2875
EISSN: EISSN-1740-2883
Bibliometric Analysis of Information Communication Technology for Sustainable Development: A Machine-Learning-Based Approach
Oosthuizen, Rudolph; Pretorius, Leon
International Journal of Learning and Change, v14 n5-6 p537-558 2022
Publication 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.
Descriptors: Bibliometrics, Information Technology, Sustainable Development, Natural Language Processing, Artificial Intelligence, Knowledge Management, Quality of Life, Models
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Publication Type: Journal Articles; Information Analyses
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A