INFLUENCE OF GEOGRAPHICAL INFORMATION SYSTEMS INTEGRATION IN MONITORING AND EVALUATION ON PERFORMANCE OF COMMUNITY DEVELOPMENT PROJECTS AT WORLD VISION KENYA
Abstract
This study sought to determine the effect of Geographical Information Systems integration in Monitoring and Evaluation, and how it influences the performance of community development projects at World Vision Kenya. The research design was descriptive, targeting a total population of 183 employees working for World Vision Kenya with a sample size of 125 respondents. Data collection was done by use of online self-administered questionnaires and quantitative data was analysed using descriptive and inferential statistics on Statistical Package for Social Sciences (SPSS). Descriptive analysis incorporated frequencies, percentages, means and standard deviations. Multiple linear regression analysis was used to test the hypothesis and results presented in tables and charts. Results showed that Geographical Information Systems (GIS) progress tracking had a positive correlation and significantly influenced performance of community development projects. GIS data integration had a positive correlation with performance of community development projects and significantly affected the performance of community development projects. GIS information sharing had a positive correlation and significantly influenced performance of community development projects. GIS data sharing positively and significantly influenced performance of community development projects and GIS data management also positively and significantly influenced performance of community development projects. The study aimed at benefiting project managers in tracking progress of community development projects by use of GIS, provide World Vision staff with the skills to monitor project progress and performance trough GIS, help donors in accessing data in online portals powered by GIS, and support national and county governments in strengthening their monitoring and evaluation systems for tracking performance of government infrastructural projects. The study recommended that GIS should be factored in project design with emphasis on GIS in progress tracking to ensure good performance of projects, there was need to decentralize GIS to local level planning and implementation of community and government projects along with the right skill set to harness the power of GIS in project implementation. As well, academic institutions needed to package basic GIS data management skills in all community development/project management courses, to enable learners collect, analyse and interpret GIS data, for proper decision making.
Key Words: Geographical Information Systems, Progress Tracking, Data Integration, Data Sharing, Data Management, Community Development Projects
CITATION: Atandi, E. N., & Ngugi, L. (2020). Influence of geographical information systems integration in monitoring and evaluation on performance of community development projects at World Vision Kenya. The Strategic Journal of Business & Change Management, 7(3), 651 – 668.
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Aduma, L. K. & Kimutai, G. (2018). Project risk management strategies and project performance at the National Hospital Insurance Fund in Kenya. International Academic Journal of Information Sciences and Project Management, 3(2), 111-136.
Altuwaijri, H. (2014). A study of the relationship between the use of GIS and project success in selected construction organizations.
Brest, P. (2010). “The power of theories of change”. Stanford Social Innovation Review. Spring.
Calmorin P. C., & Calmorin M. A., (2007). Research methods and thesis writing.
Catherman R. (2013). Monitoring and evaluating programs and projects using GIS: How to use GIS to support M&E systems for sustainable programs and projects. Edition E.2.8.
CIDP (2017). GIS Needs Assessment in Kenya; a National and County Level Analysis of the State of GIS and its Application for Spatial Planning in Kenya.
Coverage monitoring network; Mapping of beneficiary locations. (n.d.). Available at; http://www.coverage-monitoring.org/mapping-of-beneficiary-locations-1/
Esri, (2011). Geographic information systems and environmental health: incorporating ESRI technology and services.
Gwayo, A. (2014). A Critical Analysis of the causes of project Management Failures in Kenya. International Journal of soft Computing and Engineering, 4(1), 64-69.
Kaburu, R. W. (2012). Factors influencing performance of monitoring and evaluation systems in non-governmental organizations: Case of NGO’s in Nairobi County.
Republic of Kenya (2007). Kenya vision 2030. Available at http://www.vision2030.go.ke/
Koko L., Misao H., Yuji M., (2014). Real-time geospatial data collection and visualization using smartphone.
Kothari, C.R., (2005). Research Methodology; methods and techniques. New Delhi: New Age International Publisher.
Micah, N. J. (2014). Influence of monitoring and evaluation systems on performance of non-governmental projects in Kenya. A Case of Maternal Health Projects In Bungoma South Sub-County, Kenya.
Mugenda, A., & Mugenda, O. (2003). Research Methods: Quantitative and qualitative approaches. African Centre for Technology Studies, Nairobi..
Mulandi N. (2013). Factors influencing performance of monitoring and evaluation systems of non-governmental organizations in governance: A Case of Nairobi, Kenya; retrieved from www.erepository.Org.
Muller-Praefcke, D., Lai, K. C., & Sorenson, W. (2008). The use of monitoring and evaluation in agriculture and rural development projects.
Mutiso, F. M. (2011). Integration of remote sensing (RS) and geographic information systems (GIS) in monitoring and management of floods; case Study Budalangi Area (Doctoral dissertation, University of Nairobi).
Mutua S.N., (2017). Factors influencing performance of community development projects. A case of INADES formation Kenya.
Ngiri E. G. (2012). Factors influencing performance of rural development community-based projects in Murang’a South district, Murang’a County.
Njiiri. P.N. (2015). Influence of monitoring and evaluation systems use on performance of non-governmental organizations: A Case of Agribusiness Projects in Murang’a County, Kenya.
Owolabi, J.D. (2014). Causes and effect of delay on Project Construction delivery time. International journal of education and research, 2(4), 197-208.
Palve, S. N., (2013) Applications of GIS in infrastructure. International Journal of Structural & Civil Engineering, 2(4), 110-122.
Phiri B., (2015). Influence of monitoring and evaluation on project performance: a case of African Virtual University, Kenya. MA Project, University of Nairobi.
Prasad, S., (2012) Role of geographical (spatial) information system (gis) in governance.
Shihemi. R., (2016). Influence of monitoring and evaluation tools on projects performance of building and construction projects in Kenyan public universities: a case of the University of Nairobi.
Singh, R. (2016). Monitoring development through GIS visualisation. Retrieved online on 27-12-2018 from https://doi.org/10.1177/0049085715618557
Tefere, A. (2010). Application and use of GIS in small Sanitation projects in Developing countries. Master’s Thesis, Tampere University Applied Sciences, Finland.
Tsou, M.H., & Peng, I.H., (2003). Internet GIS, Distributed Geographic Information Services for the Internet and Wireless Networks. John Wiley & Songs, INC 2003.
UNDP (2017). GIS needs assessment in Kenya; A county and National level analysis on the state of GIS and its application for spatial planning in Kenya.
Yadhukrishnan.A.V & Amba, S. (2015). A Review on GIS based Construction Project Management. International Advanced Research Journal in Science, Engineering and Technology, 2(6), 137 – 141.
Yang, H., (2005). Distributed GIS; Technology, Components, Applications and Future.
DOI: http://dx.doi.org/10.61426/sjbcm.v7i3.1693
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