Paper Type
Short
Paper Number
1613
Description
Data has become ubiquitous in our modern world, influencing daily routines, decisions, and social interactions. Thus, data sharing holds great potential to improve the everyday life of individuals and society. For example, during the COVID pandemic, apps helped to monitor the spread of the coronavirus. At the same time, users face unique tensions when sharing their data. To address these tensions, this study explores incentives for users to share data, aiming to enhance user engagement in platform ecosystems while addressing privacy concerns. Drawing from a systematic literature review and the privacy calculus theory, we propose a set of hypotheses focusing on various facets of data-sharing incentives. Although preliminary, the study has potential contributions to both theoretical understanding and practical application. To validate the research model, we will first survey a representative sample of digital platform users and second validate the results in a real-life environment experiment.
Recommended Citation
Duparc, Estelle; Hesse, Annika; Rogalla, Alexander; Jussen, Ilka; Schoormann, Thorsten; and Möller, Frederik, "May the Data be With Us – Exploring Data-Sharing Incentives for Users" (2024). PACIS 2024 Proceedings. 9.
https://aisel.aisnet.org/pacis2024/track19_userbeh/track19_userbeh/9
May the Data be With Us – Exploring Data-Sharing Incentives for Users
Data has become ubiquitous in our modern world, influencing daily routines, decisions, and social interactions. Thus, data sharing holds great potential to improve the everyday life of individuals and society. For example, during the COVID pandemic, apps helped to monitor the spread of the coronavirus. At the same time, users face unique tensions when sharing their data. To address these tensions, this study explores incentives for users to share data, aiming to enhance user engagement in platform ecosystems while addressing privacy concerns. Drawing from a systematic literature review and the privacy calculus theory, we propose a set of hypotheses focusing on various facets of data-sharing incentives. Although preliminary, the study has potential contributions to both theoretical understanding and practical application. To validate the research model, we will first survey a representative sample of digital platform users and second validate the results in a real-life environment experiment.
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