Project Management Strategies for Improving NGO Operational Efficiency in Eastern Nigeria: A Data-Driven Assessment of Resource Allocation, Reporting, and Project Planning Practices
Main Article Content
Abstract
The research questions that are being explored in this study in relation to the project management strategies contributing to the efficiency in NGOs operating in Eastern Nigeria include the resource allocation, reporting and the project planning practises. Through the data-driven method, the study consolidates findings on the basis of recorded NGO interventions to investigate the effect of structured management system on performance. Results suggest that KPI-based allocation of resources is the most resource efficient in terms of usage of both finances and human resources, project delays are minimised and service delivery increases. All the requirements of transparency, accountability and decision making are made easier with IR systems making it easy to respond promptly to arising challenges. Adaptable and context-sensitive project execution is carried out with the assistance of structured and participatory project planning that includes risk assessment and stakeholder involvement. The paper points out to a synergetic impact of such pairing of strategies, that operational inefficiencies in NGOs are not always due to scarcity of resources but mostly poor management practises. Implications: It has been proposed that efficiency, accountability, and impact can be greatly enhanced by implementing holistic and data-based project management frameworks. These have limitations such as the dependency on secondary data with suggestions made on future longitudinal studies.
Article Details
Section
How to Cite
References
1. Akinrinoye, O. V., Kufile, O. T., Otokiti, B. O., Ejike, O. G., Umezurike, S. A., & Onifade, A. Y. (2020). Customer segmentation strategies in emerging markets: A review of tools, models, and applications. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 6(1), 194–217. https://doi.org/10.32628/IJSRCSEIT
2. Meredith, S. E. O., Cross, C., & Amazigo, U. V. (2012). Empowering communities in combating river blindness and the role of NGOs: Case studies from Cameroon, Mali, Nigeria, and Uganda. Health Research Policy and Systems, 10, 16. https://doi.org/10.1186/1478-4505-10-16
3. Mohammed, G. D., & Yalwa, A. (2018). The role of non-governmental organizations (NGOs) in post-conflict peace building in North Eastern Nigeria. Arts and Social Sciences Journal, 9(5). https://doi.org/10.4172/2151-6200.1000395
4. Md. Musfiqur Rahman, & Ashfaq, S. (2021). Data-driven decision support in information systems: Strategic applications in enterprises. International Journal of Scientific Interdisciplinary Research, 2(2), 01–33. https://doi.org/10.63125/cfvg2v45
5. Odio, P. E., Kokogho, E., Olorunfemi, T. A., Nwaozomudoh, M. O., Adeniji, I. E., & Sobowale, A. (2021). Innovative financial solutions: A conceptual framework for expanding SME portfolios in Nigeria's banking sector. International Journal of Multidisciplinary Research and Growth Evaluation, 2(1), 495–507. https://doi.org/10.54660/.IJMRGE.2021.2.1.495-507
6. Ojanugwa, B. M., Otokiti, B. O., Abiola-Adams, O., & Ifeanyichukwu, F. (2021). Constructing data-driven business process optimization models using KPI-linked dashboards and reporting tools. International Journal of Multidisciplinary Research and Growth Evaluation, 2(2), 330–336. https://doi.org/10.54660/.IJMRGE.2021.2.2.330-336
7. Owan, V. J. (2018). Conflict management strategies and secondary school teachers’ job effectiveness in Obubra Local Government Area of Cross River State, Nigeria. B.Ed. Project, University of Calabar. https://ssrn.com/abstract=3327406
8. Priyanto, A., Widodo, W., & Edi, D. W. (2021). Analysis of project management implementation for ship docking repair. East African Scholars Journal of Economics, Business and Management. https://doi.org/10.36349/easjebm.2021.v04i07.003
9. Yu, W., Chavez, R., Jacobs, M. A., & Feng, M. (2018). Data-driven supply chain capabilities and performance: A resource-based view. Transportation Research Part E: Logistics and Transportation Review, 114, 371–385. https://doi.org/10.1016/j.tre.2017.04.002
10. Zhang, Y., Ren, S., Liu, Y., Sakao, T., & Huisingh, D. (2017). A framework for big data driven product lifecycle management. Journal of Cleaner Production, 159, 229–240. https://doi.org/10.1016/j.jclepro.2017.04.172
11. Zhou, K., Fu, C., & Yang, S. (2016). Big data driven smart energy management: From big data to big insights. Renewable and Sustainable Energy Reviews, 56, 215–225. https://doi.org/10.1016/j.rser.2015.11.050