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Friedrich Chasin

Researcher at European Research Center for Information Systems

Publications -  42
Citations -  405

Friedrich Chasin is an academic researcher from European Research Center for Information Systems. The author has contributed to research in topics: Service (business) & Sharing economy. The author has an hindex of 12, co-authored 35 publications receiving 290 citations. Previous affiliations of Friedrich Chasin include University of Münster.

Papers
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Proceedings Article

To Share or Not to Share: Towards Understanding the Antecedents of Participation in IT-Enabled Sharing Services

TL;DR: This article proposes a model that explains and predicts the participation behavior in sharing services, and is the first attempt to study the interdependencies between the behavior types in sharing service participation.
Proceedings ArticleDOI

Supporting Digital Transformation in Small and Medium-sized Enterprises: A Procedure Model Involving Publicly Funded Support Units

TL;DR: This article builds upon prior research and a focus group discussion to propose a procedure model, which enables DT in SME by involving publicly funded support units that help SMEs in understanding and structuring the potentials of digital and data-driven innovation.
Journal ArticleDOI

Peer-to-peer sharing and collaborative consumption platforms: a taxonomy and a reproducible analysis

TL;DR: A taxonomy that helps to better characterize platforms for Peer-to-Peer (P2P) Sharing and Collaborative Consumption (SCC) is suggested and can be reproduced in the future to investigate the dynamics of the P2P SCC market.
Journal ArticleDOI

Assessment of peer-provider potentials to share private electric vehicle charging stations

TL;DR: In this paper, an IT-enabled peer-to-peer (P2P) sharing and collaborative consumption (SCC) transportation service for private charging infrastructure is proposed to facilitate private persons' joint access to privately owned physical resources via Internet-based sharing platforms.
Journal ArticleDOI

Leveraging social media to gain insights into service delivery: a study on Airbnb

TL;DR: This research presents a software toolkit that supports the sentiment analysis workflow informed by the current state-of-the-art and gives an example of how the tool works by identifying positive and negative sentiments from reviews and tweets regarding Airbnb and delivering insights into the features of service delivery its users most value and most dislike.