ORGANIZATIONAL SUPPORT SYSTEMS AND ADOPTION OF AI-DRIVEN ELECTRONIC RECORDS MANAGEMENT IN MURANG’A COUNTY GOVERNMENT, KENYA
Keywords:
Organizational support systems, artificial intelligence, electronic records management, technology adoption, county governmentAbstract
Artificial intelligence (AI) is reshaping electronic records management (ERM) globally, yet adoption in Kenyan county governments remains limited, largely because of technological gaps and weak institutional readiness. Murang’a County Government, an early adopter of digitization, offers a critical case for examining the organizational conditions that influence AI-driven ERM. This study investigated the role of organizational support systems in facilitating such adoption, guided by the Technology-Organization-Environment framework. Employing a cross-sectional survey design, the study integrated quantitative and qualitative approaches. The study administered a structured questionnaire to 74 records management, ICT, and administrative officers as a census, achieving a 91.9% response rate, and conducted semi-structured interviews with 16 purposively selected informants. The organizational support systems subscale demonstrated strong reliability (Cronbach’s alpha = 0.867). Quantitative analysis employed descriptive statistics, Pearson correlation, and multiple regression, while qualitative data were thematically analyzed. Respondents rated organizational support positively (composite mean = 4.16, SD = 0.76), with strategic alignment and management commitment highest, and financial resource allocation lowest. Organizational support systems exhibited the strongest correlation with AI adoption among four institutional factors (r = .782, p < .001) and the largest standardized regression coefficient in the combined model (β = .368, p < .001). Qualitative findings reinforced these results, highlighting leadership commitment and innovation-oriented culture as enablers, while budgetary delays emerged as persistent constraints. The study concludes that organizational support is the most decisive determinant of AI-driven ERM adoption in Murang’a County Government. It recommends that county governments institutionalize leadership commitment through predictable budgetary allocations and formal change-management structures, rather than relying solely on managerial goodwill, to ensure sustainable and effective adoption of AI-driven electronic records management.
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