Artificial intelligence in information systems research: A systematic literature review and research agenda
Искусственный интеллект в исследованиях информационных систем: систематический обзор литературы и повестка будущих исследований
2021-07-08
SCID: 54.1/ee45nzps
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Abstract (AI)
AI has received increased attention from the information systems (IS) research community in recent years. There is, however, a growing concern that research on AI could experience a lack of cumulative building of knowledge, which has overshadowed IS research previously. This study addresses this concern, by conducting a systematic literature review of AI research in IS between 2005 and 2020. The search strategy resulted in 1877 studies, of which 98 were identified as primary studies and a synthesise of key themes that are pertinent to this study is presented. In doing so, this study makes important contributions, namely (i) an identification of the current reported business value and contributions of AI, (ii) research and practical implications on the use of AI and (iii) opportunities for future AI research in the form of a research agenda.
Key Findings
1
A systematic literature review identified 1,877 AI-related IS studies published between 2005 and 2020, including 98 primary studies.
2
The review develops research and practical implications concerning the use of AI.
3
The review synthesizes key themes in AI research within information systems and addresses concerns about insufficient cumulative knowledge building.
4
The study identifies the reported business value and contributions of AI in information systems research.
5
The study proposes a research agenda outlining opportunities for future AI research in information systems.
Research Object
Artificial intelligence research in information systems between 2005 and 2020
Research Subject
Cumulative knowledge development, business value, contributions, applications, implications, and future research opportunities concerning AI in information systems
Publication Details
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2021-07-08
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