Due to its flexibility and self-determination, Self-organized learning neural network has been widely applied in many fields; meanwhile, it has a well trend to develop. Structural equation model (SEM) may be reconstructed into a self-organized learning neural network, but the algorithm of SEM need to be improved. In this paper, we first present an improved partial least square (PLS) algorithm i...

Background: Randomized controlled trials have been criticized for their inability to identify and differentiate the causal mechanisms that generate outcomes they measure. One solution is development of realist combine empirical precision trials' outcome data with realism's theoretical capacity powers outcomes. Main Body: We review arguments against this position conclude critical are viable. Us...

Paper aims This study has the objective of mapping and empirically validating KPIs that can be used to assess healthcare supply chain risks. Originality We combined two methodological approaches: i) we conducted a systematic literature review identify risk assessment ii) grouped these into five constructs validated their relations using PLS-SEM. Research method is only presents measure risks, g...