Data Uncertainty Assessment and Information Flow Analysis for Product-Service Systems in a Library Case Study

This paper proposes a methodology to integrate the assessment of data uncertainty and the analysis of information flow for a Product Service System (PSS). The data collection process creates uncertainties that influence the credibility of data, which in turn affects data and information flow. Data uncertainty is assessed by the numeral, unit, spread, assessment, and pedigree (NUSAP) approach that required a pedigree matrix consisting of data uncertainties to be scored based on their influence on the system. INformation flow was analysed by means of data flow diagrams that depict information exchanges and an Info-dynamic engine that measures the efficiency and recommends improvements for information flows in PSS. A library case study was undertaken to show how such a methodology can be applied. In conclusion, by adopting this approach it is expected that the delivery of a PSS will improve.