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Doctors/Abdourahmane BA

Abdourahmane BA

abdourahmane-ba

Abdourahmane Ba is a Statistician Engineer from the National School of Applied Economics of Dakar (ENEA). He holds an MBA from the High School of Management in Dakar (ISM) and a Masters in Econometrics UCAD. Mr BA has a long experience as expert in Monitoring and Evaluation (M&E) of development policies and programs in Africa. He worked successively in Senegal with the World Bank (IDA) programs, the International Fund for Agricultural Development (IFAD), the American Development Agency (USAID) and the American NGO Counterpart International (CPI) as Expert in Monitoring and Evaluation from 2000 to 2009. He worked as Expert in Monitoring and Evaluation, Technical Assistant in the Office du Niger in Mali with SOFRECO.

He worked as Expert in Monitoring and Evaluation with the United Nations Food and Agriculture Organization (FAO) from 2010 to 2014. Since June 2014, Mr. BA is the Chief of Party of the Analytical Support Services and Evaluations for Sustainable Systems (ASSESS) program of the USAID West Africa Regional Office based in Accra, Ghana.

Abdourahmane Ba has found the Business Science Intitute’s Doctorate in Business Administration Program (DBA) to be a great opportunity to translate his experience into knowledge and share it with the world of the development industry and public policy academics.

 

Thesis Summary

How to measure the effectiveness of development program monitoring and evaluation systems? The case of West Africa. 

This research examined the capabilities of development institutions and organizations to managing programs and projects through effective Monitoring and Evaluation (M&E) System. It looked at how to measure M&E System effectiveness within greater learning processes for improved evidence-based decision-making and measured risk-taking to advance development objectives towards greater welfare, and freedom of people. The research purpose focused on how to build a rigorous measurement framework that robustly assesses M&E System effectiveness as a critical development management approach that could improve significantly the capabilities of institutions and organizations to move development goals to success. The research focused on cases in West Africa, which is one of the regions facing the most critical development issues.

The research approach and methods are organized in three main phases for data collection, analysis and building of meaningful academic knowledge and managerial recommendations. First, a systematic literature review was conducted to gauge the existing knowledge and map the different theories on effective M&E Systems and their expected outcomes, Information System (IS), Results Based Management, Knowledge and Information Management, and Evidence-Based Decision-Making, to draw an initial model. Second, three cases were selected in West Africa to study and operationalize the dimensions and sub-dimensions of the proposed model. Third, the detailed model and its initial measurements and benchmarks were submitted to a survey with a sample of fifty development programs in West Africa that cover the main development sectors at local, national and regional levels. Data from the survey was analyzed with multiple correlations and multiple regression methods.

The main findings of the research led to a rigorous M&E System effectiveness framework, its dimensions, and sub-dimensions, how they interact through tangible pathways towards greater capability of organizations and institutions to move development actions to success. The findings also clarified how to manage M&E Systems better and how to effectively address the needs of different development organizations and institutions in assessing and improving their M&E Systems and learning platforms in the building of more effective demand-driven M&E supports services.

Key words: Monitoring and Evaluation (M&E), Development Management, Development Institutions and Organizations, Results-Based Management, Knowledge and Information Management, Evidence-Based Decision Making, Development Policy.

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