Erratum: Artificial Intelligence Applications in Management Information Systems: A Comprehensive Systematic Review with Business Analytics Perspective

Year 2023, Volume: 3 Issue: 1, 66 - 66, 01.05.2023

Halil İbrahim Cebeci

The original article was published on April 30, 2021. https://dergipark.org.tr/en/pub/aita/issue/70741/1137794

Erratum Note

May 1st, 2023 To whom it may concern We are writing to bring to your attention an error that was made in one of the articles that was published in AITA. Specifically, we would like to address an error in the name of author, which was misspelled during listing. We understand how important it is to ensure that author names are spelled correctly for the recognition of their contributions to the field, and we should have taken greater care in this matter. The article titled "Artificial Intelligence Applications in Management Information Systems: A Comprehensive Systematic Review with Business Analytics Perspective" and was published in the April 30th 2021, Volume 1, Issue 1. The author's name, listed in Dergipark platform as "Halil İbrahim ÇELEBİ" was misspelled and the correct form of the author’s name is "Halil İbrahim CEBECİ". This error is particularly significant as it may cause confusion among readers searching for other works by the author, as well as for academic citation purposes. We would like to express our sincerest apologies to the author for this error. We assure that we are committed to upholding the highest standards of academic publishing and that we will take steps to ensure that this type of mistake does not happen again in the future. Sincerely, AITA Editorial Team

Abstract

The need to solve very complex problems and the desire to model and understand human behavior are the most important factors that trigger artificial intelligence studies. In addition, today, when digitalization has become a necessity with the industrial revolution, the importance of management information systems located at the interface of information, business and industry has increased even more. In this study, which was prepared by taking these two approaches into consideration, it was aimed to examine the use of artificial intelligence techniques in management information systems literature in a multidimensional and systematic manner, and in this direction, a systematic literature review method supported by semi-automatic modern technique such as text mining was proposed. As a result of the literature review, it has been observed that studies in the field of deep learning and swarm intelligence have gained importance in recent years. When evaluated in terms of application, although information system support and information management are at the forefront in the field of informatics, it is thought that there is a shift towards cybercrime and security and fault detection. Similarly, it can be said that there has been a tendency towards environmental factors in other business areas where production and supply chain studies are seen more. In sectoral evaluations, the value of the health sector has increased while manufacturing-oriented areas are ahead as a result of the digital transformation. When all these findings are evaluated together, it is thought that a detailed guide is presented to the academicians and professionals who will work in the field.

Keywords

artificial inteligence, fuzzy logic, neural networks, deep learning, expert systems, genetic algorithms, meta heuristics, systematic review

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