Management of New Economies on Digital Platforms Leveraging Advanced Technologies

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This symposium explores the management of emerging digital economies on platforms shaped by advanced technologies, including blockchain and algorithms. With the rapid growth of the creator/influencer and fan economies, new challenges arise in platform governance, value creation, and user dynamics. Drawing on interdisciplinary perspectives—spanning information systems, marketing, sociology, and strategy—this session highlights innovative frameworks and methodologies to examine these phenomena. The presentations address critical topics: the role of decentralized autonomous organizations in balancing openness and control in user-generated content, strategies for customer acquisition in platform ecosystems, creators' navigation of algorithmic opacity, and blockchain-based integration of fan activity data across platforms. Through a mix of quantitative, qualitative, and conceptual approaches, the symposium provides a holistic understanding of platform-based economies and offers insights for advancing management and organizational theory. This interactive session, featuring diverse scholars from Asia, Europe, and the U.S., aims to foster dialogue on rethinking platform governance and digital value creation, while encouraging international and interdisciplinary collaboration in management studies. Balancing Openness and Control: The Impact of Entry Barriers on User-Generated Content in DAO Author: Wei Wang; Author: Dominik Gutt; Erasmus University Rotterdam Author: Ting Li; Erasmus University Rotterdam Competition Strategy on Platform: Collaborative Filtering and Customer Bridging Value Author: Tetsuya Aoki; Hitotsubashi University Algorithmic Imaginaries and Self-Worth Among Social Media Content Creators Author: Yun Ha Cho; University of Michigan Integrating User Activity Data Across Platforms: Conceptualizing a Meta-Platform for the Fan Econ Author: Takahiro Inada; Kyoto University of Advanced Science Author: Gwendolyn Kuo-fang Lee; Not Associated

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