Introducing a novel revenue-sharing contract in media supply chain management using data mining and multi-criteria decision-making methods

Despite all the advances in supply chain coordination, some businesses are still coordinated traditionally, including media chain, which actor’s efficiency or deficiency is not considered their wage determination. It means success failure of project nothing to do with revenue. This article proposes a novel revenue-sharing coordination contract that benefits from text mining and best–worst method address this problem. We aim determine fair share profit loss movie for each its actors based on performance project. One Iranian latest movies as case study, lead determined under contract. The sentiment analysis technique investigated viewers’ opinions about performance. Since reviewers mainly people who have no expertise cinematography, they cannot discern influence other participants So proposed used experts’ through fuzzy DEMATEL consider overlapping effect besides enhancing validity reviewers’ opinions. results paper assert will improve therefore be more successful profitable.