## 3 Materials and Methods  
This section presents the research methodology used in this study. A systematic research approach for the purpose of creating literature reviews has the following advantages: transparency and review replicability [53], high quality of the resulting analysis for studies with a clearly formulated research question [54], and the capability to summarize large quantities of research studies [55]. Since we aim at creating a literature review based on specific research questions and identifying key factors for AI application in MIS in a transparent manner from available research sources, the use of the systematic research approach is most suitable. The quality of a literature review is dependent on the rigor of the search process [56]. Thus, it is considered best to develop the search strategy in concert with the posed research questions. The goal is then to find as many studies as possible that are capable of answering one or more of the research questions [57]. The choice of research questions directly affects the primary source selection. The research questions investigated in this study were identified by the authors based on perceived knowledge gaps in previous literature reviews and the necessity of providing up-to-date answers to questions that have been posed previously by the AI research community in literature reviews [3; 4; 52] and studies [58; 59]. The objective of this systematic literature review is to answer the following research questions:  
**RQ. 1**: _What AI capabilities are utilized by AI researchers?_
**RQ. 2**: _What types of platforms are utilized by AI researchers?_
**RQ. 3**: _What kinds of contributions are made by studies of AI in MIS?_
**RQ. 4**: _What business value has been identified by studies of AI in MIS?_
**RQ. 5**: _What are the challenges and benefits of the adoption of AI in MIS?_  
RQ. 1 aims at providing a contemporary view of what AI capabilities are most frequently utilized by researchers in the field of AI and more specifically its implementation in MIS. The categorization of studies, performed based on RQ1, includes new categories of AI \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Study** & **Purpose** & \begin{tabular}{c} **Chronological Scope of** \\ **Research** \\ \end{tabular} & **Number of Primary Sources** \\ \hline [PERSON] et al. [3] & \begin{tabular}{c} To investigate the application of AI \\ in organizational strategy. \\ \end{tabular} & 2009–2020 & 41 \\ \hline [PERSON] et al. [4] & \begin{tabular}{c} To define AI as a subject of research \\ and identify its uses in business \\ information systems. \\ \end{tabular} & 2005–2020 & 98 \\ \hline [PERSON] and [PERSON] [52] & \
\begin{tabular}{c} To study individual user interaction \\ with AI tools in the context of \\ information systems. \\ \end{tabular} & 1987–2017 & 91 \\ \hline Our study &
\begin{tabular}{c} To identify challenges and \\ opportunities for the adoption of AI \\ in MIS, discuss existing platforms \\ and tools, and provide directives \\ for future research. \\ \end{tabular} & 2006–2023 & 60 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Comparison of existing systematic literature reviews and the present review. capabilities that were not separately considered by previous reviews, i.e., intelligent process automation and predictive analytics. RQ. 2 focuses on identifying trends with respect to the type of platforms used to deploy AI applications for the purpose of MIS research. RQ. 3 and RQ. 4 are oriented toward defining the contributions that AI researchers have brought to the MIS community in terms of innovation and business value. RQ. 5 aims at identifying some of the challenges and benefits of adopting AI in MIS. Applying the systematic literature review methodology, as described in [60; 61], to the research questions above requires a 3-stage process to be followed to generate a systematic literature review. The first stage (planning the review) and second stage (conducting the review) are described in this section.