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Jan Hendrik Betzing

Researcher at University of Münster

Publications -  24
Citations -  227

Jan Hendrik Betzing is an academic researcher from University of Münster. The author has contributed to research in topics: High Street & Service (business). The author has an hindex of 8, co-authored 24 publications receiving 154 citations. Previous affiliations of Jan Hendrik Betzing include European Research Center for Information Systems.

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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.
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The impact of transparency on mobile privacy decision making

TL;DR: The results indicate increased comprehension of data processing practices when privacy policies are transparently disclosed, whereas acceptance rates do not vary significantly.
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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.
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Customer Participation in Virtual Communities for Local High Streets

TL;DR: In this paper, the authors investigated the potential adoption of virtual communities to the high street to strengthen its competitive position and found that receiving and sharing information are the most influential drivers of high-street VC participation, which leads to favorable behavioral responses.
Proceedings Article

Beacon-based Customer Tracking across the High Street: Perspectives for Location-based Smart Services in Retail

TL;DR: This paper shows an approach for individual stores and high streets as a whole to facilitate spatio-temporal customer data collection based on connected mobile devices, Bluetooth beacons, and an underlying multi-sided community platform.