@inproceedings{1046,
  author       = {{John, Thomas and Szopinski, Daniel}},
  booktitle    = {{Proceedings of the Multikonferenz Wirtschaftsinformatik 2018 (MKWI), Lüneburg, Germany}},
  title        = {{{Towards explaining the popularity of the Business Model Canvas: A dual coding approach}}},
  year         = {{2018}},
}

@article{1047,
  author       = {{Stummer, Christian and Kundisch, Dennis and Decker, Reinhold}},
  journal      = {{Business & Information Systems Engineering}},
  publisher    = {{Springer}},
  title        = {{{Platform Launch Strategies}}},
  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{107,
  abstract     = {{Consumer ratings play a decisive role in purchases by online shoppers. Although the effect of the average and the number of consumer ratings on future product pricing and demand have been studied with some conclusive results, the effects of the variance of these ratings are less well understood. We develop a model which considers durable goods that are characterized by three types of attributes: search attributes, experience attributes, and transformed attributes the latter are conventional experience attributes that are transformed by consumer ratings into attributes that can be searched. Using informed search attributes to refer to the combination of search attributes and transformed attributes, we consider two sources of variance of consumer ratings: taste differences about informed search attributes and quality differences in the form of product failure representing experience attributes. We find that (i) optimal price increases and demand decreases in variance caused by informed search attributes, (ii) optimal price and demand decrease in variance caused by experience attributes, and (iii) by holding the average rating as well as the total variance constant, for products with low total variance price and demand increase in the relative share of variance caused by informed search attributes. Counter to intuition, we demonstrate that risk averse consumers may prefer a higher priced product with a higher variance in ratings when deciding between two similar products with the same average rating. Finally, our model provides a theoretical explanation for the empirically observed j-shaped distribution of consumer ratings in e-commerce that differs from established explanations.}},
  author       = {{Zimmermann , Steffen and Herrmann, Philipp and Kundisch, Dennis and Nault, Barry}},
  journal      = {{Information Systems Research}},
  number       = {{4}},
  pages        = {{984--1002}},
  publisher    = {{INFORMS}},
  title        = {{{Decomposing the Variance of Consumer Ratings and the Impact on Price and Demand}}},
  doi          = {{10.1287/isre.2017.0764}},
  volume       = {{29}},
  year         = {{2018}},
}

@inproceedings{1171,
  author       = {{Müller, Michelle and Gutt, Dominik and Neumann, Jürgen}},
  booktitle    = {{Multikonferenz Wirtschaftsinformatik (MKWI) 2018}},
  location     = {{Lüneburg}},
  title        = {{{Beschreib mir deine Wohnung und ich sag dir wer du bist - Eine explorative Analyse von Gastgeberpersönlichkeiten auf Airbnb}}},
  year         = {{2018}},
}

@inproceedings{5815,
  author       = {{Bohn, Nicolai and Kundisch, Dennis}},
  location     = {{Phoenix, Arizona, USA}},
  title        = {{{An Extended Perspective of Technology Pivots in Software Startups: Towards a Theoretical Model}}},
  year         = {{2018}},
}

@techreport{2801,
  author       = {{Kundisch, Dennis}},
  pages        = {{182--183}},
  title        = {{{Developing and Using an Audience Response System}}},
  volume       = {{60 (2)}},
  year         = {{2017}},
}

@article{2464,
  author       = {{Kundisch, Dennis and von Rechenberg, Tobias}},
  journal      = {{Business & Information Systems Engineering}},
  number       = {{4}},
  pages        = {{207--222}},
  title        = {{{Does the Framing of Progress Towards Virtual Rewards Matter? Empirical Evidence from an Online Community}}},
  volume       = {{59}},
  year         = {{2017}},
}

@article{2465,
  author       = {{Meier, Christian and Kundisch, Dennis and Willeke, Jochen}},
  journal      = {{Business & Information Systems Engineering}},
  number       = {{2}},
  pages        = {{81--95}},
  title        = {{{Is it Worth the Effort? - A Decision Model to Evaluate Resource Interactions in IS Project Portfolios}}},
  volume       = {{59}},
  year         = {{2017}},
}

@inproceedings{2658,
  author       = {{Görzen, Thomas and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 38th International Conference on Information Systems (ICIS)}},
  location     = {{Seoul, South Korea}},
  title        = {{{When in Doubt Follow the Crowd: How Idea Quality Moderates the Effect of an Anchor on Idea Evaluation}}},
  year         = {{2017}},
}

@inproceedings{2659,
  author       = {{Görzen, Thomas}},
  booktitle    = {{Proceedings of the 38th International Conference on Information Systems (ICIS)}},
  location     = {{Seoul, South Korea}},
  title        = {{{"What is it Good for - Absolutely Nothing?" Exploring the Influence of Task Meaning on Creativity in Crowdsourcing}}},
  year         = {{2017}},
}

@inproceedings{2683,
  author       = {{Kundisch, Dennis and Neumann, Jürgen and Schlangenotto, Darius}},
  booktitle    = {{Proceedings der 15. e-Learning Fachtagung Informatik (DELFI 2017)}},
  location     = {{Chemnitz}},
  title        = {{{Bitte stimmen Sie jetzt ab! - Ein Erfahrungsbericht über das Audience Response System PINGO}}},
  year         = {{2017}},
}

@inproceedings{2684,
  author       = {{Klingsieck, K. and Bomm, A. and Djawadi, Behnud and Fahr, Rene and Feldotto, M. and John, Thomas and Kundisch, Dennis and Skopalik, A.}},
  booktitle    = {{Tagung der Fachgruppen Entwicklungspsychologie und Pädagogische Psychologie (PAEPSY)}},
  location     = {{Münster}},
  title        = {{{Study? Now! - Evaluation einer gamifizierten App zur Überwindung von akademischer Prokrastination}}},
  year         = {{2017}},
}

@inproceedings{2692,
  author       = {{John, Thomas and Feldotto, M. and Hemsen, P. and Klingsieck, K. and Langendorf, Mike}},
  booktitle    = {{Proceedings of the 24th European Conference on Information Systems (ECIS)}},
  location     = {{Guimarães, Portugal}},
  title        = {{{Towards a Lean Approach to Gamifying Education}}},
  year         = {{2017}},
}

@inproceedings{2693,
  author       = {{Schlangenotto, Darius and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 24th European Conference on Information Systems (ECIS)}},
  location     = {{Guimarães, Portugal}},
  title        = {{{Achieving More by Paying Less? How Retailers can Benefit by Bidding Less Aggressively in Paid Search Auctions}}},
  year         = {{2017}},
}

@inproceedings{2695,
  author       = {{Feldotto, M. and John, Thomas and Kundisch, Dennis and Hemsen, P. and Klingsieck, K. and Skopalik, A.}},
  booktitle    = {{Proceedings of the 12th International Conference on Design Science Research in Information Systems and Technology (DESRIST)}},
  location     = {{Karlsruhe, Germany}},
  title        = {{{Making Gamification Easy for the Professor: Decoupling Game and Content with the StudyNow Mobile App}}},
  year         = {{2017}},
}

@inproceedings{2696,
  author       = {{Zimmermann, Steffen and Herrmann, Philipp and Kundisch, Dennis and Nault, Barrie}},
  booktitle    = {{Workshop Theory in Economics of Information Systems (TEIS)}},
  location     = {{Sonoma, USA}},
  title        = {{{Decomposing the Variance of Online Consumer Ratings and the Impact on Price and Demand}}},
  year         = {{2017}},
}

@inproceedings{2697,
  author       = {{Görzen, Thomas and Kundisch, Dennis}},
  booktitle    = {{2nd Workshop on IS Design and Economic Behavior (ISDEB)}},
  location     = {{St. Gallen, Switzerland}},
  title        = {{{Using Information Cues to Identify High Quality Ideas in Crowd Evaluation}}},
  year         = {{2017}},
}

@inproceedings{2698,
  author       = {{Schlangenotto, Darius and Kundisch, Dennis}},
  booktitle    = {{Wirtschaftsinformatik Proceedings, Extended Abstract}},
  location     = {{St. Gallen, Switzerland}},
  title        = {{{Over-Paid Search: When Bricks-and-Mortar Retailers Should Not Use Paid Search}}},
  year         = {{2017}},
}