Bibliometric Analysis of the Use of Logistic Regression in Electronic Information and Transactions

Bibliometric analysis has been carried out on the use of logistic regression in electronic information and transactions. This study aims to evaluate the application of logistic regression in the context of electronic information and transactions and to identify trends and patterns associated with the use of logistic regression in this field. The results of the analysis show that logistic regression is often used in research related to electronic information and transactions, especially in analyzing the variables that influence user decisions. In addition, there is a trend that shows an increase in the use of logistic regression in the context of electronic information and transactions over the past few years. This study makes an important contribution to researchers who wish to use logistic regression in their research and provides guidance for practitioners who wish to apply logistic regression in managing information and electronic transactions. The method used in this study is bibliometric analysis using the Lens.Org database and Supreme Court Decisions. The results show that the number of publications related to logistic regression from the perspective of electronic information and transactions is still relatively small, but has increased from year to year. In addition, this study also identified several trends and issues related to logistic regression, and found information and electronic transiction decisions in Supreme Court decisions as many as 13 logistic regression decisions.