Abstract

Purpose – The purpose of this study is to examine information technology (IT) outsourcing measurement systems. This paper proposes a systemic framework which can be used to support the evaluation of existing and the development of new measurement systems in the outsourcing context. The framework is built on the multidimensional characteristics of the business value created by IT outsourcing (ITO). Design/methodology/approach – After the conceptual discussion, this paper develops a systemic procedure for evaluating and developing measurement systems. The proposed procedure is applied in a multinational corporation operating in the electronics industry and conducting global business. First, the characteristics of the previous measurement system are evaluated, then the systemic properties of the current system are assessed and, finally, a new measurement system is proposed. Findings – The findings reveal that the measurement systems differ on many levels, namely, input, measurement process and output. The framework provides a structure for proper comparison of alternative measurement systems. When comparing the results to the most commonly used ITO theories, specifically the resource-based view and transaction cost economics, it is somewhat surprising that individual elements such as the cost of outsourcing and focus on core competencies were not weighed any higher in the final results. Practical implications – Organizations have difficulties in measuring actual benefits, opportunities, costs or risks involved in outsourcing transactions. The proposed framework forms a basis to resolve the measurement problems and even support the actual sourcing decisions. The applicability of the proposed approach was verified by evaluating three different types of measurement systems in a multinational corporation conducting global business in the electronics industry. Originality/value – Different kinds of measurement systems can be evaluated by the same systemic framework. The evaluation process is not limited to qualitative or quantitative assessments, but the same framework can be used in both cases.

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