Browsing by Author "Mdima, Baraka"

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    Developing an assessment model for pre – implementation of enterprise resource planning system in Tanzania.
    (University of Dar es Salaam, 2018) Mdima, Baraka
    The Enterprise Resource Planning (ERP) systems is closely linked to organisational competitiveness. This study investigated the implementation of ERP projects with focus on the development of an approach for assessment of the pre-implementation phase of organisations for successful ERP projects. A purposely selected sample of organisations at various phases of implementation of ERP systems were used in the study. The Critical Success Factors (CSFs)for implementation of ERP projects were confirmed through statistical approach using the Confirmatory Factor Analysis. The fuzzy ANP Based ERP pre-implementation model for the assessment of the pre–implementation was developed using the CSFs and fuzzy ANP approach. Followed by the development and programming of the DSS Enabled ERP Pre-Implementation tool using the C#, MATLAB and SQL Database under Visual Studio Express Environment. The test results trailer manufacturer, real estate corporation and a banking institution indicated that good level of ERP pre-implementation readiness score of 0.5774(i. e 57.74%) for trailer manufacturer; unfavorable level ERPat 0.3829(i.e 38.29%) for a real estate corporation and good level at 0.7575 (i.e75.75%)within recommended Consistency Ratio(CR) between 0.08 and 0.1. The researcher concluded that: first, CSFs are important in establishing the status (whether ready or not) of an organisation prior implementation of ERP system. That the decision to implement an ERP system introduces organizational change to the enterprise with enterprise architecture regarded as strategic tool for managing organisational change with focus on the alignment between ERP software and core business processes. Secondly, the assessment of the pre – implementation phase of organisations involves complicated computations related multi-CSFs network that may be solved by a developed fuzzy ANP Based ERP Pre–implementation model. Thirdly, the research developed the DSS enabled ERP Pre-implementation Tool to handle complex and multi criteria decision making challenge.