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

Abstract

Despite all the advances in supply chain coordination, some businesses are still coordinated traditionally, including the media supply chain, in which the actor’s efficiency or deficiency is not considered in their wage determination. It means the success or failure of the project is nothing to do with the actor’s revenue. This article proposes a novel revenue-sharing coordination contract that benefits from text mining and the best–worst method to address this problem. 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 Iranian latest movies is considered as a case study, and its lead actor’s wage 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. The results of this paper assert that the actor’s performance will improve under the proposed method and therefore the movie will be more successful and profitable.