Paper ID: UTISGAD-2023-3-2-2807
Title: ANALYSIS OF RESEARCH ON MACHINE LEARNING AND MANAGEMENT INFORMATION SYSTEMS USING WEB OF SCIENCE AND R SOFTWARE
Author: İncilay YILDIZ & Fulya ODUNCU

ABSTRACT

The aim of the study is to analyze the studies on Management Information Systems (MIS) and Machine Learning (ML). MIS and ML were questioned by selecting all fields using the Web of Science database for analysis. As a result of the scanning, it was determined that there were 84 academic studies from 2000 to 2023. All studies were included in the bibliometric analysis. 4.3.1 of the R software for analysis. The bibliometric library of the version was used. The overview, sources, authors, documents, conceptual structure and social structure groups in the library were analyzed. The most published years are 2022 (14) 2021 (13) and 2020 (11). The most published journals are ACM Transactıons on MIS (28) and Journal Of MIS (17). The most published author is CHEN H with 6 publications. The countries that publications the most are USA (30) and China (11). The most cited countries are USA (537) and Denmark (214). The most cited study is the article titled “Internet of Things in arable farming: Implementation, applications, challenges and potential” with 116 citations and published in the Biosystems Engineering journal, of which Henriksen is the co-author. It was determined that 216 keywords were used. The most used keywords were determined as Model (10) and Behavior (6).

Keywords: Management Information Systems, Machine Learning, Bibliometric Analysis, Web of Science

JEL Codes: M10, C1, C13