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Assessing the Extent of Integration of Artificial Intelligence Technology within Management Information Systems: Case of County Governments in Kenya
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| dc.contributor.author | Owuor Omoga, Charles | |
| dc.date.accessioned | 2024-11-07T12:20:15Z | |
| dc.date.available | 2024-11-07T12:20:15Z | |
| dc.date.issued | 2023-10 | |
| dc.identifier.issn | 2321-5526 | |
| dc.identifier.uri | http://41.89.205.12/handle/123456789/2421 | |
| dc.description | 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 | en_US |
| dc.description.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 | en_US |
| dc.description.sponsorship | Alupe University | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Management Information Systems | en_US |
| dc.subject | Integration | en_US |
| dc.subject | County Governments | en_US |
| dc.title | Assessing the Extent of Integration of Artificial Intelligence Technology within Management Information Systems: Case of County Governments in Kenya | en_US |
