@misc{22262,
  author       = {{Werner, Timur}},
  title        = {{{„For developers, by developers”? – Analyzing the Impact of Programming Languages’ Major Releases on Online Q&A Behavior}}},
  year         = {{2021}},
}

@inproceedings{23410,
  author       = {{Poniatowski, Martin and Neumann, Jürgen and Kundisch, Dennis}},
  location     = {{Newport Beach, California, USA}},
  title        = {{{Nudging Their Thoughts –  Analyzing the Impact of Online Review Templates on Review Sentiment}}},
  year         = {{2021}},
}

@article{44896,
  abstract     = {{<jats:p>This study uniquely employs a fuzzy-set qualitative comparative analysis (fsQCA) technique to account for complex relationships in consumption. The fsQCA technique assumes that relationships are based on a set–subset relationship. This assumption is fundamental when decision-makers are affected by information asymmetry and are, thus, required to jointly evaluate the credibility and reliability of a range of external signals. This issue also affects consumers in markets for cultural goods, where the quality of products is not known with certainty in advance of the purchase decision. Our study uses fsQCA to establish the effect of different quality signals on consumption in the US market for video game software. Our results show that reviews from professional critics alongside brand extension and multi-platform release strategies act as signals of product quality and, therefore, lead to high sales performance.</jats:p>}},
  author       = {{Kaimann, Daniel and Cox, Joe}},
  issn         = {{2071-1050}},
  journal      = {{Sustainability}},
  keywords     = {{Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development}},
  number       = {{23}},
  publisher    = {{MDPI AG}},
  title        = {{{A Comparative Analysis of Consumption: Evidence from a Cultural Goods Market}}},
  doi          = {{10.3390/su132313275}},
  volume       = {{13}},
  year         = {{2021}},
}

@article{21289,
  author       = {{Kaimann, Daniel and Tanneberg, Ilka and Cox, Joe}},
  issn         = {{0143-6570}},
  journal      = {{Managerial and Decision Economics}},
  number       = {{1}},
  pages        = {{3--20}},
  title        = {{{“I will survive”: Online streaming and the chart survival of music tracks}}},
  doi          = {{10.1002/mde.3226}},
  volume       = {{42}},
  year         = {{2021}},
}

@article{44899,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Changes in winery ratings in leading wine guides, that is, improvements as well as deteriorations, are typically attributed to corresponding changes in the quality of the wines produced by the respective winery. What remains unexplored in this context is changes in editorship and/or changes in the composition of the wine tasting teams working for the respective guide. Using data from two particularly prestigious German wine guides (Gault Millau and Vinum), this paper shows that these latter changes have a rather small, yet statistically significant impact on changes in winery ratings. Thus, consumers are well-advised to consider these changes before making their purchasing decision. (JEL Classifications: L21, M30, Q13)</jats:p>}},
  author       = {{Frick, Bernd}},
  issn         = {{1931-4361}},
  journal      = {{Journal of Wine Economics}},
  keywords     = {{Horticulture, General Business, Management and Accounting, Food Science}},
  number       = {{4}},
  pages        = {{370--377}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{The Legacy of Gurus: The Impact of Armin Diel and Joel Payne on Winery Ratings in Germany}}},
  doi          = {{10.1017/jwe.2020.36}},
  volume       = {{15}},
  year         = {{2021}},
}

@phdthesis{45670,
  author       = {{ Fanasch, Patrizia}},
  title        = {{{Governance and Reputation in the Market for Experience Goods}}},
  year         = {{2021}},
}

@techreport{45616,
  abstract     = {{Aggregation metrics in reputation systems are important for overcoming information overload. When using these metrics, technical aggregation functions such as the arithmetic mean are implemented to measure the valence of product ratings. However, it is unclear whether the implemented aggregation functions match the inherent aggregation patterns of customers. In our experiment, we elicit customers' aggregation heuristics and contrast these with reference functions. Our findings indicate that, overall, the arithmetic mean performs best in comparison with other aggregation functions. However, our analysis on an individual level reveals heterogeneous aggregation patterns. Major clusters exhibit a binary bias (i.e., an over-weighting of moderate ratings and under-weighting of extreme ratings) in combination with the arithmetic mean. Minor clusters focus on 1-star ratings or negative (i.e., 1-star and 2-star) ratings. Thereby, inherent aggregation patterns are neither affected by variation of provided information nor by individual characteristics such as experience, risk attitudes, or demographics.}},
  author       = {{van Straaten, Dirk and Melnikov, Vitalik and Hüllermeier, Eyke and Mir Djawadi, Behnud and Fahr, René}},
  title        = {{{Accounting for Heuristics in Reputation Systems: An Interdisciplinary Approach on Aggregation Processes}}},
  volume       = {{72}},
  year         = {{2021}},
}

@techreport{45617,
  author       = {{van Straaten, Dirk}},
  title        = {{{Incentive Schemes in Customer Rating Systems - Comparing the Effects of Unconditional and Conditional Rebates on Intrinsic Motivation}}},
  volume       = {{71}},
  year         = {{2021}},
}

@techreport{45618,
  author       = {{van Straaten, Dirk and Fahr, René}},
  title        = {{{Fighting Fire with Fire - Overcoming Ambiguity Aversion by Introducing more Ambiguity}}},
  volume       = {{73}},
  year         = {{2021}},
}

@inproceedings{22014,
  author       = {{Seutter, Janina and Müller, Michelle and Neumann, Jürgen and Kundisch, Dennis}},
  location     = {{Virtual Conference/Workshop}},
  publisher    = {{Proceedings of the International Conference on Challenges in Managing Smart Products and Services (CHIMSPAS 2021)}},
  title        = {{{Do Smart Product Service Systems Crowd Out Interactions in Online Communities? – Empirical Evidence from a Cooking Community}}},
  year         = {{2021}},
}

@inproceedings{23411,
  author       = {{Müller, Michelle and Neumann, Jürgen and Kundisch, Dennis}},
  location     = {{Newport Beach, California, USA}},
  title        = {{{Toss a Coin to Your Host? – Why Guests Do Not Always End Up Paying for the Cost of Regulatory Policies}}},
  year         = {{2021}},
}

@inproceedings{19782,
  author       = {{Müller, Michelle and Neumann, Jürgen and Gutt, Dominik and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 41th International Conference on Information Systems (ICIS)}},
  location     = {{Virtual Conference/Workshop}},
  title        = {{{Toss a Coin to your Host - How Guests End up Paying for the Cost of Regulatory Policies}}},
  year         = {{2020}},
}

@article{2834,
  author       = {{Gutt, Dominik and von Rechenberg, Tobias and Kundisch, Dennis}},
  journal      = {{Journal of Business Research}},
  pages        = {{277--287}},
  publisher    = {{Elsevier}},
  title        = {{{Goal Achievement, Subsequent User Effort and the Moderating Role of Goal Difficulty}}},
  doi          = {{10.1016/j.jbusres.2018.06.019}},
  volume       = {{106}},
  year         = {{2020}},
}

@article{21287,
  abstract     = {{<jats:p>Peer-to-peer markets are especially suitable for the analysis of online ratings as they represent two-sided markets that match buyers to sellers and thus lead to reduced scope for opportunistic behavior. We decompose the online ratings by focusing on the customer’s decision-making process in a leading peer-to-peer ridesharing platform. Using data from the leading peer-to-peer ridesharing platform BlaBlaCar, we analyze 17,584 users registered between 2004 and 2014 and their online ratings focusing on the decomposition of the explicit determinants reflecting the variance of online ratings. We find clear evidence to suggest that a driver’s attitude towards music, pets, smoking, and conversation has a significantly positive influence on his received online ratings. However, we also show that the interaction of female drivers and their attitude towards pets has a significantly negative effect on average ratings.</jats:p>}},
  author       = {{Kaimann, Daniel}},
  issn         = {{2071-1050}},
  journal      = {{Sustainability}},
  number       = {{15}},
  title        = {{{Behind the Review Curtain: Decomposition of Online Consumer Ratings in Peer-to-Peer Markets}}},
  doi          = {{10.3390/su12156185}},
  volume       = {{12}},
  year         = {{2020}},
}

@article{4627,
  author       = {{Kaimann, Daniel}},
  journal      = {{Applied Economics Letters}},
  number       = {{16}},
  pages        = {{1366--1370}},
  title        = {{{Ancillary market signaling: A two-stage model of economic reputation on ancillary market success}}},
  doi          = {{10.1080/13504851.2019.1683136}},
  volume       = {{27}},
  year         = {{2020}},
}

@inproceedings{16951,
  author       = {{Seutter, Janina and Neumann, Jürgen}},
  booktitle    = {{Proceedings of the 28th European Conference on Information Systems (ECIS)}},
  location     = {{Virtual Conference/Workshop}},
  title        = {{{Reviewing the Simple Things- How Ease of Evaluation Affects Online Rating Behavior}}},
  year         = {{2020}},
}

@inproceedings{16952,
  author       = {{Poniatowski, Martin and Neumann, Jürgen}},
  booktitle    = {{Proceedings of the 28th European Conference on Information Systems (ECIS)}},
  location     = {{Virtual Conference/Workshop}},
  title        = {{{Getting Personal with Review Systems –  Analyzing the Influence of Personality Traits on the Relationship between Review Templates and Reviewing Behavior}}},
  year         = {{2020}},
}

@inproceedings{15210,
  author       = {{Seutter, Janina and Neumann, Jürgen and Kundisch, Dennis}},
  booktitle    = {{Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI)}},
  location     = {{Potsdam, Germany}},
  title        = {{{Nudging in Judging- Differences in Online Rating Behavior for Utilitarian and Hedonic Service Aspects}}},
  year         = {{2020}},
}

@inproceedings{15225,
  author       = {{Poniatowski, Martin and Neumann, Jürgen}},
  booktitle    = {{Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI)}},
  location     = {{Potsdam, Germany}},
  title        = {{{You Write What You Are - Exploring the Relationship between Online Reviewers' Personality Traits and Their Reviewing Behavior}}},
  year         = {{2020}},
}

@misc{21260,
  author       = {{Rink, Lukas Max Johannes}},
  title        = {{{Spillover-Effekte der Sharing Economy}}},
  year         = {{2020}},
}