Purpose -The purpose of this paper is to analyze how performance measurement systems (PMSs) can be used to support the key elements of the logistics change process. Design/methodology/approach -The research analytical framework is based upon the review of the mainstream literature on PMS and its use in the organizational change process. Two case studies in high logistical performing companies from the manufacturing sector were undertaken to describe how the use of PMS supports their logistics change process. Findings -The results from both case studies showed that the use of PMS can support all elements of the logistics change process, which is triggered by the monitoring and analysis of the current situation, its management and finally the compilation and interpretation of performance results. This last stage is responsible for reviewing performance measures and providing feedback for further change and improvement initiatives. Originality/value -This paper presents the first empirical analysis of the role played by the use of PMS in the logistics change process in high logistical performing companies. Furthermore, it is the first research to investigate logistics performance measurement from the perspective of logistics excellence and change management models to propose a guide to measure performance and lead change process in this area.

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Purpose -The purpose of this paper is to examine whether the level of logistics information systems (LIS) adoption in manufacturing companies is influenced by organizational profile variables, such as the company's size, the nature of its operations and their subsectors. Design/methodology/approach -A review of the mainstream literature on LIS was carried out to identify the factors influencing the adoption of such information systems and also some research gaps. The empirical study's strategy is based on a survey research in Brazilian manufacturing firms from the capital goods industry. Data collected were analyzed through Kruskall-Wallis and Mann Whitney's non-parametric tests. Findings -The analysis indicates that characteristics such as the size of companies and the nature of their operations influence the levels of LIS adoption, whilst comparisons regarding the subsectors appeared to be of little influence. Originality/value -This is the first known study to examine the influence of organizational profiles such as size, nature of operations and subsector on the level of LIS adoption in manufacturing companies. Moreover, it is unique in portraying the Brazilian scenario on this topic and addressing the adoption of seven types of LIS in a single study.