International Journal of Innovative Research in                 Electrical, Electronics, Instrumentation and Control Engineering

A monthly Peer-reviewed & Refereed journal

ISSN Online 2321-2004
ISSN Print 2321-5526

Since  2013

Abstract: In today's rapidly evolving business landscape, the integration of Artificial Intelligence (AI technology within Management Information Systems (MIS) has gained significant attention as a transformative approach to enhancing decision-making processes. The aim of this research was to assess the  extent of integration of Artificial Intelligence(AI) technology within Management Information Systems (MIS) of County Governments in Kenya. The findings show that Artificial intelligence integration within MIS in County Governments in Kenya were partially Integrated. These findings   are anticipated to contribute to the growing discourse surrounding the level of AI  integration within MIS in enhancing decision-making processes, while offering practical recommendations for organizations seeking to harness the potential of these technologies to drive improved decision-making outcomes in the Kenyan context

Keywords: Artificial Intelligence, Management Information Systems, Integration, County Governments

Works Cited:

Charles Owuor Omoga " Assessing the Extent of Integration of Artificial Intelligence Technology within Management Information Systems: Case of County Governments in Kenya ", IJIREEICE International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, vol. 11, no. 10, pp. 31-36, 2023. Crossref https://doi.org/: 10.17148/IJIREEICE.2023.111006


PDF | DOI: 10.17148/IJIREEICE.2023.111006

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