Abstract
In the current fragmented media landscape, online video is becoming an important outlet for content dissemination. Online video channels provide content creators a way of organizing content and building an online following through subscriptions and social sharing. This paper describes a decision support systems (DSS) based framework for online video channel management and content creation. The relevant DSS literature was reviewed along with both modeling and behavioral aspects of online videos and video channels. An empirical case study was run on a dataset consisting of views, shares, and subscriptions from over 1000 videos from nine YouTube channels. This paper contributes to DSS theory by proposing a flexible framework for incorporating both behavioral and empirical work into an integrative process for online video content creation. This framework builds on existing data-driven DSS theory, but includes specific entities and processes for online content creation.
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