Policy Analysis of University-Based Incubators: Model Projections for Animation Startups
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Selvi Faristasari*
Ardiyan Rofiq Mulyana
Devi Nurul Amalia
University-based incubators play a pivotal role in reducing the high failure risks faced by animation startups, which require intensive infrastructure and strong IP management. This research evaluates the effectiveness of startup empowerment policies within two university-based incubators in Yogyakarta to formulate a replication model for Animation Study Programs. Utilizing an explanatory quantitative approach, the study analyzes secondary data from 40 technology-based startups using multivariate statistical techniques, specifically Multiple Linear Regression and Discriminant Analysis. The findings indicate that Synergy is the most dominant predictor of success (β = 0.280, p = 0.000), followed by Seed Capital and Shared Facilities. While regression analysis shows that institutional status does not directly influence overall effectiveness, discriminant analysis reveals fundamental differences in operational methodology, public university excel in providing seed capital and technical support through government grants, whereas private university demonstrate greater agility in managerial services and industrial networking. The research concludes that a successful animation startup model requires a three-pillar strategic projection, involving the optimization of high-end shared infrastructure such as centralized render farms, the management of specialized financial models including revenue sharing, and the acceleration of synergy through IP marketplaces and cross sector collaboration. These recommendations provide a roadmap for academic institutions to bridge the gap between research and the commercial demands of the creative industry.
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