Establishing competitive intelligence process elements in sport performance analysis and coaching: A comparative systematic literature review Abstract   Sport performance analysts and coaches collect and convert competitor and environmental information for strategic decision making. However, existing studies do not provide a systematic approach for this managerial process. Within the business domain, competitive intelligence (CI) is a proven systematic process, which is applied to enhance organizationsxe2x80x99 competitiveness through the systematic collection, conversion and countering of information. Therefore, the objective of this comparative systematic literature review (SLR) was to establish similarities between the business CI elements and sport performance analysis (PA). The review was conducted from the functionalist quadrant, to provide rational explanations where mechanical analogies from the business CI domain were used for modelling and understanding the particular phenomenon of the CI process in sport. A systematic review protocol was established, and a total of 61 articles from the CI (34) and PA (27) domains were included. The SLR revealed substantial similarities of the current sport PA elements to the business CI process. The similarities were used to develop an information management process, which is illustrated as a literature CI model for sport coaches. Specific differences between the two domains indicated that empirical research is needed to fill the gaps of sport CI elements description.

A Composite Indicator for Supply Chain Performance Measurement: A Case Study in a Manufacturing Company This paper proposes a methodology to develop and implement a Composite Indicator (CI) to measure the performance of Supply Chain processes. It reflects the aggregation of individual measures, related to the same process, with a weighted average, in order to assess the global performance in terms of both efficiency and effectiveness. Through a case study in a manufacturing company, a concept validation was performed by implementing the methodology in the Return process of the Supply Chain. The results showed that the combination between a Composite Indicator and a Business Intelligence tool provides a better understanding of the overall performance of a given process, facilitating also the identification of root causes. This paper aims to contribute to the supply chain performance management research field, proposing a methodology to implement a Composite Indicator, which is a topic insufficiently explored in the existent literature.