Despite increasing technological dynamism and plausibility in many environments, poor services continue to be rendered because the IT solutions that are selected, deployed and used by the Nigerian banks are challenged by both technical and non-technical factors. The challenges could be attributed to lack of evaluation, causing ineffectiveness, inefficiency, and inconsistency in the processes, interactions and activities where IT solutions are applied. Thus, the study’s objectives is to identify, examine and gain an understanding of the factors that influence the selection, deployment and evaluation of the IT solutions that are used by the Nigerian banks. The interpretivist approach and qualitive method were followed. Following the interpretivist paradigm, the analysis was conducted using the hermeneutics approach. Based on the findings and interpretation, a model was developed, intended for actors that have stake in IT solutions in the two banks, to gain better understanding of the factors that can influence evaluation.

Organizations make use of different tools and methods to test and evaluate software, for quality and appropriateness purposes. However, many organizations are unable to perform multiple testing activities (manual, automation and performance testing), using a single tool. As a result of limitation of some tools, some organizations are hampered in their attempt to test software, which affect productivities. This is a challenge that has for many years, caused severe problems for some organizations, affecting their time to respond to business change. The challenge is associated with the lack of framework to guide complementary use of multiple tools when carrying out software testing. This study employs the case study and the interpretivist approaches. From the findings, a decision support system (DSS) framework was developed, which can be used guide testing and evaluation of software in an organization. Also, the DSS is intended to support and assist software engineers, developers and managers in identifying the factors that influence their decisions from both, technical and non-technical perspectives, when testing software.