@misc{19766,
  author       = {{Helmert, Manuel Marc}},
  title        = {{{Listen to theier Heart - Ein systematischer Literaturüberblick zur Rolle von Emotionen in nutzergenerierten Inhalten auf digitalen Plattformen}}},
  year         = {{2020}},
}

@misc{16571,
  author       = {{Rosenhäger, Tjard Henrik}},
  title        = {{{Nothing comes for free - Ein klassifizierender Überblick zu den Auswirkungen finanzieller Anreize auf digitalen Märkten}}},
  year         = {{2020}},
}

@misc{19651,
  author       = {{Zauke, Simon}},
  title        = {{{Stand der Forschung zu gefälschten Online-Bewertungen - Ein systematischer Literaturüberblick}}},
  year         = {{2020}},
}

@misc{16342,
  author       = {{Droste, Jonas}},
  title        = {{{Digital Nudging - Ein systematischer Literaturüberblick}}},
  year         = {{2020}},
}

@misc{15878,
  author       = {{Wegener, Maik}},
  title        = {{{Q&A for Products - Eine deskriptive Analyse von Fragen und Antworten auf digitalen Marktplätzen}}},
  year         = {{2020}},
}

@misc{16849,
  author       = {{Müller, Michelle}},
  title        = {{{Regiert Geld die AirBnb-Welt? Eine ökonometrische Analyse der Preisreaktionen von sozial- und finanziell motivierten AirBnb-Gastgebern auf politische Restriktionen}}},
  year         = {{2020}},
}

@misc{19439,
  author       = {{Löer, Christin}},
  title        = {{{Fanden Sie diese Bewertung nützlich? Ein Ansatz zur Vorhersage der Nützlichkeit von Online-Bewertungen}}},
  year         = {{2020}},
}

@misc{15719,
  author       = {{Philipp, Schumann}},
  title        = {{{Is Delivery Killing Dine-In Restaurants?" - Eine ökonometrische Analyse von Spillover-Effekten für digitale Plattformen in der Restaurantindustrie}}},
  year         = {{2020}},
}

@misc{16343,
  author       = {{Kittsteiner, Anna Verena}},
  title        = {{{Eine strategische Analyse von Online-Kundenrezensionen zur Identifikation von Begeisterungsfaktoren mittels Latent Dirichlet Allocation}}},
  year         = {{2020}},
}

@article{13770,
  author       = {{Karl, Holger and Kundisch, Dennis and Meyer auf der Heide, Friedhelm and Wehrheim, Heike}},
  journal      = {{Business & Information Systems Engineering}},
  number       = {{6}},
  pages        = {{467--481}},
  publisher    = {{Springer}},
  title        = {{{A Case for a New IT Ecosystem: On-The-Fly Computing}}},
  doi          = {{10.1007/s12599-019-00627-x}},
  volume       = {{62}},
  year         = {{2020}},
}

@article{1139,
  abstract     = {{We investigate the degree of price competition among telecommunication firms. Underlying a Bertrand model of price competition, we empirically model pricing behaviour in an oligopoly. We analyse panel data of individual pricing information of mobile phone contracts offered between 2011 and 2017. We provide empirical evidence that price differences as well as reputational effects serve as a signal to buyers and significantly affect market demand. Additionally, we find that brands lead to an increase in demand and thus are able to generate spillover effects even after price increase.}},
  author       = {{Kaimann, Daniel and Hoyer, Britta}},
  journal      = {{Applied Economics Letters}},
  number       = {{1}},
  pages        = {{54--57}},
  publisher    = {{Taylor and Francis Online}},
  title        = {{{Price competition and the Bertrand model: The paradox of the German mobile discount market}}},
  doi          = {{10.1080/13504851.2018.1436141}},
  volume       = {{26}},
  year         = {{2019}},
}

@article{80,
  abstract     = {{Models on network formation have often been extended to include the potential of network disruption in recent years. Whereas the theoretical research on network formation under the threat of disruption has thus gained prominence, hardly any experimental research exists so far. In this paper, we therefore experimentally study the emergence of networks including the aspect of a known external threat by relating theoretical predictions by Dzuibiński and Goyal (2013) to actual observed behaviour. We deal with the question if subjects in the role of a strategic Designer are able to form safe networks for least costs while facing a strategic Adversary who is going to attack their networks. Varying the costs for protecting nodes, we designed and tested two treatments with different predictions for the equilibrium network and investigated whether one of the least cost equilibrium networks was more likely to be reached. Furthermore, the influence of the subjects’ farsightedness on their decision-making process was elicited and analysed.

We find that while subjects are able to build safe networks in both treatments, equilibrium networks are only built in one of the two treatments. In the other treatment, predominantly safe networks are built but they are not for least costs. Additionally, we find that farsightedness –as measured in our experiment– has no influence on whether subjects are able to build safe or least cost equilibrium networks. Two robustness settings with a reduced external threat or more liberties to modify the initial networks qualitatively confirm our results. Overall, in this experiment observed behaviour is only partially in line with the theoretical predictions by Dzuibiński and Goyal (2013).}},
  author       = {{Endres, Angelika Elfriede and Recker, Sonja and Mir Djawadi, Behnud and Hoyer, Britta}},
  journal      = {{Journal of Economic Behavior and Organization }},
  pages        = {{708--734}},
  title        = {{{Network Formation and Disruption - An Experiment: Are equilibrium networks too complex?}}},
  doi          = {{10.1016/j.jebo.2018.11.004}},
  volume       = {{157}},
  year         = {{2019}},
}

@article{7413,
  author       = {{Gutt, Dominik and Neumann, Jürgen and Zimmermann, Steffen and Kundisch, Dennis and Chen, J.}},
  journal      = {{Journal of Strategic Information Systems}},
  number       = {{2}},
  pages        = {{104--117}},
  title        = {{{Design of Review Systems – A Strategic Instrument to shape Online Reviewing Behavior and Economic Outcomes}}},
  volume       = {{28}},
  year         = {{2019}},
}

@misc{8351,
  author       = {{Nutt, Florian}},
  title        = {{{Vertrauensbildung und Reputationssysteme auf digitalen B2B-Märkten - Ein klassifizierender Überblick}}},
  year         = {{2019}},
}

@misc{8530,
  author       = {{Beckhoff, Yvonne Maria}},
  title        = {{{There's an App for that - Ein Literaturüberblick über Erfolgsfaktoren für App-Downloads}}},
  year         = {{2019}},
}

@misc{8799,
  author       = {{Groh, Andreas}},
  title        = {{{Ideenbewertung durch die Crowd - Ein klassifizierender Literaturüberblick}}},
  year         = {{2019}},
}

@misc{8840,
  author       = {{Fath, Jerome Louis}},
  title        = {{{# Fail - Ein Literaturüberblick über Online-Bewertungen zu Produkt- und Dienstleistungsfehlern}}},
  year         = {{2019}},
}

@inproceedings{9774,
  author       = {{Neumann, Jürgen and Gutt, Dominik}},
  booktitle    = {{Proceedings of the 25th Americas Conference on Information Systems (AMCIS)}},
  location     = {{Cancun, Mexico}},
  title        = {{{Money Makes the Reviewer Go Round – Ambivalent Effects of Online Review Elicitation in B2B Markets}}},
  year         = {{2019}},
}

@inproceedings{9775,
  author       = {{Neumann, Jürgen and Gutt, Dominik and Görzen, Thomas and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 25th Americas Conference on Information Systems (AMCIS)}},
  location     = {{Cancun, Mexico}},
  title        = {{{When does Local Status Matter? – The Relationship between Reviewer Location and Perceived Usefulness of Online Reviews}}},
  year         = {{2019}},
}

@inproceedings{9776,
  author       = {{Poniatowski, Martin and Neumann, Jürgen and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 25th Americas Conference on Information Systems (AMCIS)}},
  location     = {{Cancun, Mexico}},
  title        = {{{Reviewing the Vendor or the Product – Analyzing Vendor versus Product Representation in B2B Review Systems}}},
  year         = {{2019}},
}