In home video supply chains, movie makers as content producers create the most value in the movie industry but they are unable to publish and distribute their videos in an efficient while effective manner. Therefore, they usually sell their videos’ licenses to home video enterprises (HVEs) that have expertise in advertising and distributing the procured videos to the market. This paper proposes a novel integrated model for content procurement and distribution planning within the context of home video supply chains. The developed model helps HVEs to determine buying which available videos are more profitable and how to distribute them in terms of distribution timing and quantities. It also determines videos’ license prices, which is certainly one of the most important concerns of HVEs in this context. According to deep uncertainty in videos’ demands, fluctuation in audiences’ expectations and diverse qualities in the content of procured videos, the critical parameters are tainted with epistemic uncertainty and therefore are formulated though possibility distributions in the form of triangular fuzzy numbers. An efficient possibilistic programming approach is tailored to convert the original possibilistic model into the crisp counterpart. Applicability of the proposed model is validated through an illustrative example from which useful managerial insights are also provided.