Knowledge management positioning in the information science era: Bibliometric analysis for the time frame from 2000-2023
EAI Endorsed Transactions on Scalable Information Systems, ISSN: 2032-9407, Vol: 11, Issue: 2, Page: 1-8
2024
- 1Citations
- 11Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
INTRODUCTION: To navigate the field of knowledge management (KM) for effective performance in data science, business intelligence, and database systems, all stakeholders, including academicians and professionals, must be informed of the recentstate of practice and theory in KM. A detailed bibliometric study of publications can help with this problem by giving a comprehensive picture of the publications' trends and progression. From 2000 to 2023 OBJECTIVES: To examine the pattern of publication in the area of knowledge management. METHODS: Two methodologies are employed to examine and interpret the bibliometricdata acquired from the Scopus database. Citation and publication building evaluations were performed to gauge the emergenceof the field of knowledge management, and secondly, VOS viewer software was used to simulate the projection of knowledgemanagement grounded on bibliographic coupling (BC), co-citation, and co-occurrence (CC). RESULTS: The citation and publication structures indicate a steady improvement in the findings.
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