Implementing Performance Measurement to support Continuous Improvement : An empirical case study in construction industry

Abstract: Performance Measurement is necessary in order to support the implementation of a Continuous Improvement approach within a company. Performance Measurement has been a subject of increasing interest for researchers and practitioners. The questions addressed in the literature especially evolved from “what” to measure to “how” to measure. The present thesis follows this evolution by exploring how companies can successfully implement Performance Measurement. The thesis follows a parallel research design including a literature review and a case study. From one side, a literature review aims at explaining the main theories behind Performance Measurement, such as the concept of Performance Measurement System, as well as giving some recommendation for its implementation. On the other side, an empirical case study, conducted in a construction industry company, presents a practical implementation of Performance Measurement including some of the indicators dashboards built in several factories and departments of the company. The results of this case study are also supported by several interviews conducted at different steps of the implementation with the different actors involved. Then a theoretical verification is conducted by comparing the theory from the literature review with the empirical results from the case study. It especially allows to verify some recommendations as well as to identify a few gaps. The results of this study can be seen as a set of verified recommendations in order to successfully implement Performance Measurement within a company. These recommendations come from the comparison between theory and practice and they are divided in three main parts: the Key Performance Indicators identification, the Performance Measurement System design, and the practical implementation of Performance Measurement. Regarding this last part, five key success factors (e.g. perceived benefits of performance measurement, top management commitment) and five barriers (e.g. time and effort required, human behaviour) have been verified. Moreover, some Performance Measurement issues are discussed, such as the reduction of the complexity, the potential gaps between local approaches and global consistency, as well as the concept of organisational learning. Finally, the thesis identifies three kinds of trade-offs (e.g. accuracy of the data and cost of collection) that need to be considered when implementing Performance Measurement.