Introducing a Novel Revenue-Sharing Contract in Media Supply Chain Management using Data Mining and Multi-Criteria Decision-Making Methods

In recent years, we have observed stunning advances in supply chain coordination. But despite all these scientific methods, some of the businesses are still coordinating traditionally. Media supply chain, and above all its components, the cinema industry has been coordinated traditionally for years. One of the boldest problems in the media supply chain is wage determination in the cinema industry, which in it the actor’s efficiency or deficiency is not considered. It means the success or failure of the movie is nothing to do with the actor’s revenue. To address this problem, this article proposes a novel revenue-sharing coordination contract that benefits from text mining and the best-worst method. We aim to determine a fair share of profit or loss of a movie for each of its actors based on their performance and efficiency on the success or failure of the project. One of the latest movies is considered as a case study, and its lead actor’s wage for this movie is determined under this contract. The sentiment analysis technique investigated the viewers’ opinions about the movie and the actor’s performance. Since the reviewers mainly are the people who have no expertise in cinematography, they cannot discern the influence of other participants on the actor’s performance. So the proposed method used experts’ opinions through the fuzzy DEMATEL method to consider the overlapping effect besides enhancing the validity of the reviewers’ opinions.