@misc{15026,
  author       = {{Bentfeld, Bastian}},
  title        = {{{Reputation in der Sharing Economy - Eine ökonometrische Analyse des Zusammenhangs zwischen Online-Bewertungen und Nachfrage am Beispiel von Airbnb}}},
  year         = {{2019}},
}

@misc{10038,
  author       = {{Agethen, Christopher Heinrich}},
  title        = {{{Stoppt das Sharing? Ökonometrische Untersuchungen zur gesetzlichen Einschränkung von Airbnb}}},
  year         = {{2019}},
}

@misc{11959,
  author       = {{Wegener, Moritz}},
  title        = {{{It's a match! - Entwicklung eines Ansatzes zur Identifikation von Cross-Listings auf Airbnb und TripAdvisor}}},
  year         = {{2019}},
}

@misc{13449,
  author       = {{Gerzen, Gabriele}},
  title        = {{{Do Online Ratings Matter in the Sharing Economy? Analyzing the Impact of Online Ratings on Demand on Airbnb}}},
  year         = {{2019}},
}

@misc{14987,
  author       = {{Resch, Tim}},
  title        = {{{Möglichkeiten und Grenzen crowdbasierter Ideenbewertung - Ein systematischer Literaturüberblick}}},
  year         = {{2019}},
}

@article{44898,
  author       = {{Fanasch, Patrizia and Frick, Bernd}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment}},
  publisher    = {{Elsevier BV}},
  title        = {{{The value of signals: Do self-declaration and certification generate price premiums for organic and biodynamic wines?}}},
  doi          = {{10.1016/j.jclepro.2019.119415}},
  volume       = {{249}},
  year         = {{2019}},
}

@inproceedings{2564,
  author       = {{Gutt, Dominik}},
  booktitle    = {{Proceedings of the 25th European Conference on Information Systems (ECIS)}},
  location     = {{Portsmouth, UK}},
  title        = {{{In the Eye of the Beholder? – Empirically Decomposing Different Economic Implications of the Online Rating Variance}}},
  year         = {{2018}},
}

@inproceedings{2660,
  author       = {{Neumann, Jürgen and Gutt, Dominik and Kundisch, Dennis}},
  booktitle    = {{Conference Abstracts of the Symposium on Statistical Challenges in Electronic Commerce Research (SCECR)}},
  location     = {{Rotterdam, Netherland}},
  title        = {{{The Traveling Reviewer Problem - Exploring the Relationship Between Offline Locations and Online Rating Behavior}}},
  year         = {{2018}},
}

@misc{3313,
  author       = {{Maurer, Alexandra}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Kundenbewertungen und Produktnachfrage: Eine ökonomische Analyse}}},
  year         = {{2018}},
}

@misc{3314,
  author       = {{Michels, Luisa Juliane}},
  publisher    = {{Universität Paderborn}},
  title        = {{{The Segmentation of Video-On-Demand Consumers}}},
  year         = {{2018}},
}

@misc{3315,
  author       = {{Walter, Miriam}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Sentiment Analysis of User-generated Ratings in the Sharing Economy }}},
  year         = {{2018}},
}

@misc{3316,
  author       = {{Korn, Hanna}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Restaurant reputation and meal prices: empricial evidence from the German restaurant industry}}},
  year         = {{2018}},
}

@phdthesis{2712,
  author       = {{Schlangenotto, Darius}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Consumer Responses to Paid Search - Empirical Evidence from a Bricks-and-Mortar Retailer}}},
  doi          = {{10.17619/UNIPB/1-312}},
  year         = {{2018}},
}

@article{5772,
  author       = {{Fanasch, Patrizia and Frick, Bernd}},
  issn         = {{1931-4361}},
  journal      = {{Journal of Wine Economics}},
  pages        = {{1--27}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{What Makes Cooperatives Successful? Identifying the Determinants of Their Organizational Performance}}},
  doi          = {{10.1017/jwe.2018.28}},
  year         = {{2018}},
}

@inproceedings{4520,
  author       = {{Neumann, Jürgen and Gutt, Dominik and Kundisch, Dennis}},
  booktitle    = {{Workshop on IS Design and Economic Behavior (ISDEB)}},
  location     = {{Lüneburg, Germany}},
  title        = {{{The Traveling Reviewer Problem - Exploring the Relationship Between Offline Locations and Online Rating Behavior}}},
  year         = {{2018}},
}

@article{5330,
  abstract     = {{In Internet transactions, customers and service providers often interact once and anonymously.
To prevent deceptive behavior a reputation system is particularly important to
reduce information asymmetries about the quality of the offered product or service. In this
study we examine the effectiveness of a reputation system to reduce information asymmetries
when customers may make mistakes in judging the provided service quality. In our model,
a service provider makes strategic quality choices and short-lived customers are asked to
evaluate the observed quality by providing ratings to a reputation system. The customer is
not able to always evaluate the service quality correctly and possibly submits an erroneous
rating according to a predefined probability. Considering reputation profiles of the last three
sales, within the theoretical model we derive that the service provider’s dichotomous quality
decisions are independent of the reputation profile and depend only on the probabilities of
receiving positive and negative ratings when providing low or high quality. Thus, a service
provider optimally either maintains a good reputation or completely refrains from any reputation
building process. However, when mapping our theoretical model to an experimental
design we find that a significant share of subjects in the role of the service provider deviates
from optimal behavior and chooses actions which are conditional on the current reputation
profile. With respect to these individual quality choices we see that subjects use milking
strategies which means that they exploit a good reputation. In particular, if the sales price
is high, low quality is delivered until the price drops below a certain threshold, and then
high quality is chosen until the price increases again.}},
  author       = {{Mir Djawadi, Behnud and Fahr, Rene and Haake, Claus-Jochen and Recker, Sonja}},
  issn         = {{1932-6203}},
  journal      = {{PLoS ONE}},
  number       = {{11}},
  publisher    = {{Public Library of Science}},
  title        = {{{Maintaining vs. Milking Good Reputation when Customer Feedback is Inaccurate}}},
  doi          = {{10.1371/journal.pone.0207172}},
  volume       = {{13}},
  year         = {{2018}},
}

@misc{5422,
  author       = {{Diemke, Viktoria}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Vertrauen und Vertrauenswürdigkeit - Akteure auf Cloud-basierten Plattformen}}},
  year         = {{2018}},
}

@inproceedings{1060,
  abstract     = {{With a growing number of online reviews, it becomes increasingly important for customers and online review platforms to find groups of reviewers who write useful reviews. Customers who review local offline businesses such as restaurants can identify themselves as locals or travelers and thus implicitly assign themselves to a specific reviewer group. This study investigates the relationship between identifying as a local and the perceived usefulness of their online reviews. Using data from Yelp.com, we empirically test hypotheses derived from attribution theory. Our results suggest that neutral and negative reviews by locals tend to be perceived as more useful than reviews by travelers. Positive reviews by locals, however, are not perceived as more useful. These findings provide significant practical implications for online review platforms and local offline businesses.}},
  author       = {{Neumann, Jürgen and Gutt, Dominik and Kundisch, Dennis and van Straaten, Dirk}},
  booktitle    = {{Proceedings of the Multikonferenz Wirtschaftsinformatik 2018 (MKWI), Lüneburg, Germany}},
  title        = {{{When Local Praise Becomes Cheap Talk - Analyzing the Relationship between Reviewer Location and Usefulness of Online Reviews}}},
  year         = {{2018}},
}

@inproceedings{1061,
  abstract     = {{It is well-established that both average online ratings and the number of ratings positively impact product sales. Yet, the economic implications of the information contained in the online review texts is not that well understood. In this study, we contribute to the understanding of online review texts and its economic implications by conducting and validating an unsupervised machine learning algorithm, the latent dirichlet allocation, to identify online reviews that mention product failures. Furthermore, we show that the textual information on product failures are associated with lower product sales. Our results help online review system designers, e.g., amazon, to identify these reviews and to make them easily accessible to potential customers to support the customer’s purchasing decision. Academics can build on our results by applying our validated topic identification strategy and by linking reviews mentioning product failure to a range of different outcomes.}},
  author       = {{Gutt, Dominik}},
  booktitle    = {{Proceedings of the Multikonferenz Wirtschaftsinformatik 2018 (MKWI), Lüneburg, Germany}},
  title        = {{{Sorting Out the Lemons - Identifying Product Failures in Online Reviews and their Relationship with Sales}}},
  year         = {{2018}},
}

@article{1063,
  author       = {{Stroh-Maraun, Nadja and Kaimann, Daniel and Cox, Joe}},
  journal      = {{Entertainment Computing}},
  pages        = {{26--36}},
  publisher    = {{Elsevier}},
  title        = {{{More than skills: A novel matching proposal for multiplayer video games}}},
  doi          = {{10.1016/j.entcom.2017.12.002}},
  volume       = {{25}},
  year         = {{2018}},
}