A framework for benchmarking e-governance projects in developing countries

• Main Author: Hatsu, Sylvester
• Other Authors: Ngassam, Ernest Ketcha
• Format: Others
• Language: en
• Published: 2019
• Subjects: E-governance project; Benchmarking; Developing countries; Project life cycle; Project monitoring and evaluation; Impact assessment; Critical success factor; Socio-economic indicators; Socio-economic development; 351.02854678091724; Internet in public administration > Developing counties; Benchmarking (Management) > Developing countries; Project management > Developing countries; Impact
• Online Access: http://hdl.handle.net/10500/26186

Investigations reveal that the failure rate of e-governance projects in developing countries is between 35% and 50% whereby, 35% is classified as a total failure and 50% is considered a partial failure. Furthermore, previous e-governance frameworks lack reliable project discipline to deliver e-governance systems effectively to stakeholders for further exploits. This is one of the major reasons why e-governance projects fail to deliver the expected value to the citizenry and thereby, negatively impacting on socio-economic development. The purpose of this study was to develop a framework for benchmarking e-governance projects for socio-economic development in developing countries. The Design Science Research methodology was relied upon for the purpose of the study in order to answer its various research questions. Preliminary research investigations led to the identification of a range of critical success factors necessary for effective and efficient delivery of an e-governance project that fulfils expectations throughout the project lifecycle. Further investigations demonstrated that the foregoing critical success factors represent crucial and effective mechanisms for performing project assurance in the ambit of Monitoring and Evaluation. A generic framework for benchmarking e-governance projects was proposed. Further evaluation and validation exercises were undertaken on the framework through a survey involving a comprehensive sample of participants recruited from the Ghana ecosystem, a country considered a developing country. Experts who had comprehensive knowledge of challenges experienced when engaging in e-governance projects were also recruited from the international community as additional respondents in the survey. The study used a combination of simple random sampling and purposive sampling. Simple random sampling method was used to select 19 practising project managers, while purposive sampling method was employed to include e-governance experts in academic and research institutions as well as non-governmental organizations, with valuable insights concerning the research questions being addressed. The data collected was analysed using thematic analysis, and Pearson Chi-square test. The outcome of the evaluation and validation exercises produced an improved framework of which an appropriate prototyped proof of concept was developed for the purpose of enabling e-governance project stakeholders to perform project quality assurance throughout its lifecycle. Such as prototype, if implemented in real-life will go a long way in addressing many challenges faced in the entire e-governance project value chain from a prioritization, learning, cost, quality, time and impact perspectives. The overall outcome of this study showed that despite the reality that the failure rate of e-governance projects remains high in developing countries, there is strong evidence indicating that the aforementioned situation could be circumvented. The research found that success is achievable by embarking on a rigorous process of monitoring and evaluation based on well-defined performance metrics that embody time, quality, budget and scope. As such, the significant minimization of the failure rate of e-governance projects in developing countries would become reality provided that sound monitoring and evaluation are performed in all phases of the project even after its deployment. === Information Science === Ph. D. (Information Systems)