PROJECT MANAGEMENT APPROACHES AND SERVICE DELIVERY OF NATIONAL LAND INFORMATION MANAGEMENT SYSTEM IN KENYA
Abstract
The general objective was to examine of effect of project management approaches and service delivery of National Land Information Management System in Kenya. The specific objectives were to examine effect of project management approaches; hybrid approach, and agile approach and service delivery of National Land Information Management System in Kenya. The study used a descriptive research design. The study targeted the services offered under the National Land Information Management implemented by the State Department for Lands and Physical Planning. The study unit of observation was 134 key informants who are involved in the lands records management system. Census sampling was used to sample 134 key informants who are involved in the lands records management system. A questionnaire was used to gather data for the study. A pilot study was carried out on 10% of the sample size hence 13 key informants. In this study content and construct validity was used. In this study, Cronbach’s Alpha Coefficient method was used to measure the reliability of questionnaires. The data was keyed into SPSS Version 28 and analysed. Data was tabulated. The study's regression analysis revealed significant coefficients for each variable: Hybrid Approach (β = 0.359, p = 0.000), and Agile Approach (β = 0.322, p = 0.003), all indicating a positive influence on the service delivery of National Land Information Management System in Kenya. These findings underscore the importance of employing diverse project management approaches to enhance service delivery within the system. Consequently, the study recommends the adoption of a hybrid approach that integrates elements of both traditional and agile methodologies, alongside robust monitoring and evaluation mechanisms, to optimize project outcomes and meet stakeholders' needs effectively.
Key Words: Project Management Approaches, Hybrid Approach, Agile Approach, Service Delivery, National Land Information Management System
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