A Tool for predicting the likelihood of information systems implementation failure: case of Kenya National Highways Authority
Masita, William Okari
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Every implementer of information systems would desire to have a successful project implementation. To achieve this, they work towards eliminating causes of failure. Therefore, there is need to know these causes before implementation begins. This study sought to investigate the causes of information systems implementation failure and come up with a tool to predict likelihood of failure. To achieve this objective, relevant literature was reviewed covering approaches used in implementing information systems, ways of measuring success in implementation and techniques used in mitigating failure. Both quantitative and qualitative research design methods were used to study information systems implementation projects at Kenya National Highways Authority (KeNHA). Arising from the findings, it was found that IS implementation projects fail due to inadequate user involvement, changing scope, requirements not well understood, poor estimation techniques, failure to manage expectations of users, failure to manage the implementation plan, failure to adapt to business change, lack of commitment to a systems implementation methodology, poor user commitment, lack of top management support, insufficient staffing, team members lack of requisite knowledge and skills and inadequate people management skills. In order to come up with the proposed solution , the research findings were analysed through use case diagrams and sequence diagrams. Following this analysis, the system was designed using design class diagrams and entity relationship diagrams. Using this design, the system was built using PHP 5.6. MySQL database was also incorporated at the back end. The system incorporates main causes of failure in implementation of information systems. Existence of these factors in any information system implementation project is analysed taking into consideration their relative weights and materiality. Once analysed, a report will be produced to indicate whether there is likelihood of failure. This tool is advantageous in that there will be early warning in case failure is likely and therefore organisations will institute corrective mechanisms prior to commencement of the implementation process.