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Author

Friedrich Chasin

Other affiliations: University of Münster
Bio: 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
01 Jan 2015
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.
Abstract: The search for strategies to mitigate undesirable economic, ecological, and social effects of harmful resource consumption has become an important, socially relevant topic. An obvious starting point for businesses that wish to make value creation more sustainable is to increase the utilization rates of existing resources. Modern social Internet technology is an effective means by which to achieve IT-enabled sharing services, which make idle resource capacity owned by one entity accessible to others who need them but do not want to own them. Successful sharing services require synchronized participation of providers and users of resources. The antecedents of the participation behavior of providers and users has not been systematically addressed by the extant literature. This article therefore proposes a model that explains and predicts the participation behavior in sharing services. Our search for a theoretical foundation revealed the Theory of Planned Behavior as most appropriate lens, because this theory enables us to integrate provider behavior and user behavior as constituents of participation behavior. The model is novel for that it is the first attempt to study the interdependencies between the behavior types in sharing service participation and for that it includes both general and specific determinants of the participation behavior.

36 citations

Proceedings ArticleDOI
08 Jan 2019
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.
Abstract: Digital Transformation (DT) considers the continuous digitalization process of a company, which uses digital and data-driven innovation to improve existing processes, change distinct business model (BM) elements, or reinvent its BM entirely. Large companies position themselves at the frontline of the DT, while small and medium-sized enterprises (SMEs) are challenged by resource constraints and missing guidance on realizing benefits of DT. This situation threatens SMEs as big players increasingly utilize DT to enter markets that have been traditionally reserved to SMEs. Extant research on the ways SMEs can effectively participate in DT is limited. Against this background, 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. These units help SMEs in understanding and structuring the potentials of digital and data-driven innovation.

34 citations

Journal ArticleDOI
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.
Abstract: Airbnb and Uber enable private individuals to share physical resources via their Internet platforms, and both have become popular subjects of information systems and e-business research. In the top dogs’ slipstream resides a variety of less-known platforms that allow to share different resources or to share resources in different ways. Researchers who study these platforms and the underlying consumer behaviors face the problem of situating their findings precisely. Practitioners lack an overview of the diversity of these platforms and their characteristics too. This article suggests a taxonomy that helps to better characterize platforms for Peer-to-Peer (P2P) Sharing and Collaborative Consumption (SCC). We used the taxonomy to describe the evolution of 522 P2P SCC platforms over the period of 35 months and to demonstrate and partly evaluate its application. All descriptions taken together constitute a comprehensive data source to study P2P SCC platforms. When researchers use the taxonomy, they can describe and situate insights precisely so that stakeholders can access them more easily. Furthermore, researchers and practitioners can use our database as well as the analyses we made based on the data for their purpose. Because we deliver the computer scripts that we used in our analysis, our study can easily be reproduced in the future to investigate the dynamics of the P2P SCC market.

31 citations

Journal ArticleDOI
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.
Abstract: The diffusion and customer adoption of electric vehicles (EVs) are hampered by the absence of a well-developed publicly accessible charging infrastructure. We introduce an IT-enabled peer-to-peer (P2P) sharing and collaborative consumption (SCC) transportation service for private charging infrastructure as a means to alleviate this challenge. P2P SCC services facilitate private persons’ joint access to privately owned physical resources such as cars (Uber), apartments (Airbnb), or charging stations (focus of this article) via Internet-based sharing platforms. We apply New Service Development (NSD) as a guiding process towards developing a P2P SCC service and suggest provider assessment as an extension to existing NSD procedures. We show a specific application of the provider assessment for our proposed P2P SCC service by reporting the results from a survey assessing potential peer-providers. Thus, we demonstrate how extending NSD for the provider assessment aided us in developing an IT-enabled transportation service that is based on the joint access to privately owned resources.

30 citations

Journal ArticleDOI
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.
Abstract: Consumers increasingly rely on reviews and social media posts provided by others to get information about a service. Especially in the Sharing Economy, the quality of service delivery varies widely; no common quality standard can be expected. Because of the rapidly increasing number of reviews and tweets regarding a particular service, the available information becomes unmanageable for a single individual. However, this data contains valuable insights for platform operators to improve the service and educate individual providers. Therefore, an automated tool to summarize this flood of information is needed. Various approaches to aggregating and analyzing unstructured texts like reviews and tweets have already been proposed. In this research, we present a software toolkit that supports the sentiment analysis workflow informed by the current state-of-the-art. Our holistic toolkit embraces the entire process, from data collection and filtering to automated analysis to an interactive visualization of the results to guide researchers and practitioners in interpreting the results. We give 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. In doing so, we lay the foundation for learning why people participate in the Sharing Economy and for showing how to use the data. Beyond its application on the Sharing Economy, the proposed toolkit is a step toward providing the research community with an instrument for a holistic sentiment analysis of individual domains of interest.

24 citations


Cited by
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Journal ArticleDOI
TL;DR: The main outcomes of the review introductory article contributed to the better understanding of current technological progress in IoT application areas as well as the environmental implications linked with the increased application of IoT products.

297 citations

Journal ArticleDOI
TL;DR: The vast and growing array of concepts, methods and tools in the sustainability field imply a need for a structuring and coordinating framework, including a unifying and operational definition of sustainability as discussed by the authors.

184 citations

Journal ArticleDOI
TL;DR: A novel picture fuzzy multi-criteria decision making (MCDM) model is proposed to solve the site selection problem for car sharing stations in Bejing and the definition of picture fuzzy sets is adopted to accurately portray the voting information.

169 citations