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Author

R. Heigl

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Review Open access Aug 2026

What’s in it for me? a systematic literature review on incentive mechanisms fostering users’ data sharing behavior in data ecosystems

This work inductively identifies five key dimensions of incentive mechanisms and five categories of influencing factors that may shape their effectiveness and users’ data sharing behavior and proposes a conceptually grounded typology comprising eight ideal types of incentive mechanisms.

Aaron Witzki, K. V. Carl, Constantin Brîncoveanu et al. · 0 citations
Jul 2026

The Indirect Disclosure Effect: How Disclosing Generative AI Use Impacts Human Creative Collaboration with AI

Overall, this study reveals a fundamental tension at the heart of transparency regulation: by disclosing GenAI use through a simple label, regulators may inadvertently diminish the very human creative agency they aim to protect, and they do so before audiences ever see the label.

Ekaterina Jussupow, Kevin Bauer, R. Heigl et al. · 0 citations

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