Bibliometric Analysis: Utilization of Artificial Intelligence to Support Office Performance
DOI:
https://doi.org/10.59188/devotion.v5i6.745Keywords:
bibliometric, artificial intelligence, performanceAbstract
Artificial Intelligence (AI) has experienced rapid development in recent years. In the current era of globalization, research on the use of AI to support the implementation of tasks has urgency to be raised in the scientific realm. This article aims to explore the study of the utilization of AI in the field of organizational performance. This study uses bibliometric analysis to review all articles related to the theme in the leading Scopus database. The search was carried out on Wednesday, March 13, 2024, at 16.50 WIB, and resulted in 13 documents related to "artificial intelligence" and "organizational performance" in 5 years (2019-2024). The results of this study show that the highest percentage of document types is in the form of articles, which reached 10 documents (76.9%), followed by conference papers as many as 2 documents (15.45%), and books as much as 1 document (7.7%). And the most frequently used languages in Artificial Intelligence and performance publications are English, Spanish, French, and Spanish. The research is based on a study conducted by T. Panichayakorn and K. Jermsittiparsert with the title "Mobilizing organizational performance through robotic and artificial intelligence awareness in mediating role of supply chain agility", 2019, Volume 8, Issue 5, Pages 757-768.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Rasona Sunara Akbar, Vita Nurul Fathia, Muhammad Arif Hamdi, Seno Setya Pujang, Mila Rosmaya, Masdar Bakhtiar
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International. that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
