The Bayesian Cost–Effectiveness Decision Problem

Abstract

The proceedings contain 16 papers. The special focus in this conference is on Distributed Computing and Artificial Intelligence. The topics include: The Bayesian cost–effectiveness decision problem; evaluation of scientific production without using bibliometric indicators; information aggregation in big data; a decision framework for understanding data-aware business process models; cluster analysis as a decision-making tool; similar patterns of cultural and creative industries; a basic algorithm to support decision-making behaviour; looking for regional convergence; information manipulation and web credibility; a data mining analysis of the Chinese inland-coastal inequality; a unified framework for multicriteria evaluation of intangible capital assets inside organizations; processing and analysing experimental data using a tensor-based method and the mediating effect of the absorptive capacity in the international entrepreneurial orientation of family firms.