Struktur Intelektual Penelitian Organisasi Pengetahuan dan Artificial Intelligence
Analisis Bibliometrik pada Database Scopus Tahun 1977-2023
DOI:
https://doi.org/10.37014/medpus.v30i3.4984Keywords:
Knowledge Organization, Artificial Intelligence, Bibliometric, Co-Word, Performance AnalysisAbstract
Abstract The objective of this study is to identify the most contributing journal articles to the research on knowledge organization and artificial intelligence, as well as to comprehend the development of research in knowledge organization and artificial intelligence from 1977 to 2023 using bibliometric methods. The analysis employed citation analysis and co-word analysis applied to the Scopus database. The findings revealed 136 documents related to knowledge organization and artificial intelligence. Out of the 9 most influential documents, 3 studies stood out with significantly higher citation counts compared to others, surpassing 150 citations. The research identified three clusters as the focal points. The first cluster emphasized keywords such as knowledge representation, semantics, and ontology, while the second cluster centered on keywords like knowledge-based systems, expert systems, and decision making.References
Baker, H. K., Kumar, S., & Pandey, N. (2021). Forty years of the Journal of Futures Markets: A bibliometric overview. Journal of Futures Markets. Available at doi: 10.1002/fut.22211
Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry. Scientometrics, 22, 155-205.
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of informetrics, 5(1), 146-166
Culnan, M. J., O'Reilly III, C. A., & Chatman, J. A. (1990). Intellectual structure of research in organizational behavior, 1972–1984: A cocitation analysis. Journal of the American Society for Information Science, 41(6), 453-458.
Dahlberg, I. (2006). Knowledge organization: a new science?. Ko Knowledge Organization, 33(1), 11-19.
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research, 133, 285-296.
Elsevier. (2023). Scopus Content. Diakses dari https://www.elsevier.com/products/scopus/content
Fitriani, A., Rosidah, R., & Zafrullah, Z. (2023). Biblioshiny: Implementation of Artificial Intelligence in Education (1976-2023). Journal of Technology Global, 1(01), 11-25.
Garfield, E. (1979). Is citation analysis a legitimate evaluation tool?. Scientometrics, 1, 359-375.
Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019). Consumers acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 49, 157-169.
Hjørland, B. (2008). What is knowledge organization (KO)?. KO Knowledge Organization, 35(2-3), 86-101.
Hjørland, B. (2012). Is classification necessary after Google?. Journal of documentation, 68(3), 299-317.
Joudrey, D. N., & Taylor, A. G. (2017). The organization of information. Bloomsbury Publishing USA.
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and individual differences, 103, 102274.
Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: how may AI and GPT impact academia and libraries?. Library Hi Tech News, 40(3), 26-29.
Nutfield Council on Bioethics (2018), “Bioethics briefing notes: artificial intelligence (AI) in healthcare and research”, diakses di https://www.nuffieldbioethics.org/assets/pdfs/Artificial-Intelligence-AI-in-healthcare-and-research.pdf
Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of documentation, 25, 348.
Salton, G. (1996). A new horizon for information science. Journal of the American Society for Information Science, 47(4), 333-333.
Sayekti, R. (2023). Memahami Tren Penelitian Artificial Intelligence di Perpustakaan Melalui Analisis Bibliometrik Pada Publikasi Ilmiah Internasional Tahun 2019-2023. UNILIB: Jurnal Perpustakaan.
Scopus. (2023). What is Scopus Preview? - Scopus: Access and use Support Center. https://service.elsevier.com/app/answers/detail/a_id/15534/supporthub/scopus/#tips
Su, H. N., & Lee, P. C. (2010). Mapping knowledge structure by keyword co-occurrence: A first look at journal papers in Technology Foresight. Scientometrics, 85(1), 65-79.
Taecharungroj, V. (2023). “What Can ChatGPT Do?” Analyzing Early Reactions to the Innovative AI Chatbot on Twitter. Big Data and Cognitive Computing, 7(1), 35.
Tredinnick, L. (2017). Artificial intelligence and professional roles. Business Information Review, 34(1), 37-41.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
