@inproceedings{2699,
  author       = {{Görzen, Thomas and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 22nd Americas' Conference on Information Systems (AMCIS)}},
  location     = {{San Diego, USA}},
  title        = {{{Can the Crowd Substitute Experts in Evaluation of Creative Ideas? An Experimental Study Using Business Models}}},
  year         = {{2016}},
}

@inproceedings{2700,
  author       = {{Görzen, Thomas and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 24th European Conference on Information Systems (ECIS)}},
  location     = {{Istanbul, Turkey}},
  title        = {{{Can the Crowd Substitute Experts in Evaluation of Creative Jobs? The Case of Business Models}}},
  year         = {{2016}},
}

@inproceedings{2701,
  author       = {{Schlangenotto, Darius and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 24th European Conference on Information Systems (ECIS)}},
  location     = {{Istanbul, Turkey}},
  title        = {{{Read this Paper! A Field Experiment on the Role of a Call-To-Action in Paid Search}}},
  year         = {{2016}},
}

@inproceedings{216,
  abstract     = {{We empirically investigate the impact of successful goal achievement on future effort to attain the next goal in a recurring goal framework. We use data from a popular German Question & Answer community where goals are represented in the form of badges. In particular, our analysis of this data hinges on the fact, that in this Question & Answer community, badges in a hierarchical badge system are in-creasingly challenging to attain up to a certain badge. After this certain badge, the difficulty level sud-denly drops and remains constant throughout up to the last badge in the hierarchy. Our findings indi-cate that after successful badge achievement users increase their subsequent effort to attain the next badge, but only as long as badges represent a challenge to the user. According to our analysis, we identify self-learning to be the key driver of this behavior.}},
  author       = {{von Rechenberg, Tobias and Gutt, Dominik}},
  booktitle    = {{Proceedings of the 24th Conference on Information Systems (ECIS), Istanbul}},
  location     = {{Istanbul, Turkey}},
  title        = {{{Challenge Accepted! - The Impcat of Goal Achievement on Subsequent User Effort and Implications of a Goal's Difficulty}}},
  year         = {{2016}},
}

@article{193,
  abstract     = {{Heath et al. (1999) propose a prospect theory model for goal behavior. Their analytical model is based on the assumption that goals inherit the main properties of the prospect theory value function, i.e., reference point dependence, loss aversion, and diminishing sensitivity. We investigate whether these main properties transfer to goal behavior in the field. We take user activity data from a gamified Question & Answer community and analyze how users adjust their contribution behavior in the days surrounding goal achievement, where goals are represented by badges. We find that users gradually increase their performance in the days prior to earning a badge, with performance peaking on the day of the promotion. In subsequent days, user performance gradually diminishes again, with the decline being strongest on the day immediately following the badge achievement. These findings reflect the characteristic S-shape of the prospect theory value function which is convex below the reference point and concave above it. Employing the target-based approach, we can interpret the value function as a cumulative density function of a unimodal probability distribution. Our results suggest that it is more likely that active members of the community focus on the next badge relative to the status already achieved, as their next goal and are less likely to focus on more remote (higher-ranked) badges. Our results thus support the transferability of the main properties of the prospect theory value function to goal behavior in the field and suggest a distinct shape of the value function around goals.}},
  author       = {{von Rechenberg, Tobias and Gutt, Dominik and Kundisch, Dennis}},
  journal      = {{Decision Analysis}},
  number       = {{2}},
  pages        = {{153----171}},
  publisher    = {{INFORMS}},
  title        = {{{Goals as Reference Points: Empirical Evidence from a Virtual Reward System}}},
  doi          = {{10.1287/deca.2016.0331}},
  year         = {{2016}},
}

@inproceedings{205,
  author       = {{Herrmann, Philipp and Gutt, Dominik and Rahman, Mohammad}},
  booktitle    = {{INFORMS Annual Meeting}},
  location     = {{Nashville, USA}},
  title        = {{{Crowd-Driven Competitive Intelligence: Understanding the Relationship between Local Market Structure and Online Rating Distributions}}},
  year         = {{2016}},
}

@inproceedings{206,
  author       = {{Herrmann, Philipp and Gutt, Dominik and Rahman, Mohammad}},
  booktitle    = {{NBER Summer Institute on the Economics of Information Technology and Digitization}},
  location     = {{Cambridge, MA, USA}},
  title        = {{{Crowd-Driven Competitive Intelligence: Understanding the Relationship between Local Market Structure and Online Rating Distributions}}},
  year         = {{2016}},
}

@inproceedings{180,
  abstract     = {{Recent literature reports concerns about implausibly high Overall ratings in the sharing economy, which undermines the credibility of this rating as a quality signal. This study empirically investigates the relationship between quality and price, commonly captured by the Value dimension in multidimensional rating systems, to reveal whether reviewers form a perception of quality that they then express in the Value dimension, rather than in the Overall rating. We test our hypotheses on a comprehensive panel dataset for 14,859 Airbnb listings in New York. Our preliminary empirical findings show that an increase in price leads to a significant and substantial decrease in the Value rating, suggesting that Value ratings can offer a valuable source of information for potential buyers in addition to the supposedly inflated Overall rating. Moreover, this mechanism has substantial implications for potential buyers who seek to evaluate a listing’s quality and for a seller’s price setting. }},
  author       = {{Gutt, Dominik and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 37th International Conference on Information Systems (ICIS), Dublin, Ireland}},
  location     = {{Dublin, Ireland}},
  title        = {{{Money Talks (Even) in the Sharing Economy: Empirical Evidence for Price Effects in Online Ratings as Quality Signals}}},
  year         = {{2016}},
}

@inproceedings{4374,
  author       = {{Zimmermann, Steffen and Herrmann, Philipp and Kundisch, Dennis and Nault, Barrie}},
  booktitle    = {{Workshop on IS Design and Economic Behavior (ISDEB)}},
  location     = {{Ilmenau, Germany}},
  title        = {{{How do different Sources of the Variance of Online Consumer Ratings matter?}}},
  year         = {{2016}},
}

@inproceedings{148,
  abstract     = {{Successful business model innovation is impossible without innovative business model ideas. When generating such ideas, humans make use of two properties of the human cognitive system: First, their ability to build up knowledge (i.e., raw material for new ideas), and second, their ability to flexibly recombine that knowledge. While these properties enable humans to generate innovative ideas, the amounts of knowledge and cognitive flexibility that humans can possess are limited, which in turn limits human idea generation capability. With business model idea generators, a new class of information systems is proposed that can contribute to alleviating the limits that constrain human idea generation. The ideas that such idea generators produce can complement human business model ideas, thereby increase the probability for high-quality ideas, and eventually raise the odds of successful business model innovation. The contribution is a design theory that describes the architecture of the proposed idea generators.}},
  author       = {{John, Thomas}},
  booktitle    = {{Proceedings of the 37th International Conference on Information Systems (ICIS), Dublin, Ireland}},
  location     = {{Dublin, Ireland}},
  title        = {{{Supporting Business Model Idea Generation Through Machine-generated Ideas: A Design Theory}}},
  year         = {{2016}},
}

@phdthesis{10292,
  author       = {{John, Thomas}},
  title        = {{{Business Model Modeling Languages as Tools for Innovation:  Theory and Empirical Evidence}}},
  doi          = {{10.17619/UNIPB/1-259 }},
  year         = {{2016}},
}

@inproceedings{135,
  author       = {{Strotmeyer, Sebastian and John, Thomas and Kundisch, Dennis}},
  booktitle    = {{Multikonferenz Wirtschaftsinformatik (MKWI)}},
  location     = {{Ilmenau, Germany}},
  title        = {{{Vergleichende Betrachtung von Software-Werkzeugen zur Geschäftsmodellentwicklung}}},
  year         = {{2016}},
}

@inproceedings{248,
  author       = {{John, Thomas}},
  booktitle    = {{AIS SIGPRAG Pre-ICIS Workshop: Practice-based Design and Innovation of Digital Artifacts}},
  location     = {{Fort Worth, USA}},
  title        = {{{Supporting Business Model Idea Generation Through Machine-generated Ideas - Towards a Design Theory}}},
  year         = {{2015}},
}

@inproceedings{254,
  abstract     = {{We empirically investigate how hosts on Airbnb, a popular peer-to-peer website for fee-based sharing of under-utilized space, adjust their prices once their offering gets a visible star rating for the first time. We use data for over 14,000 offerings from Airbnb which we collected for New York City. Our findings indicate that hosts whose offerings achieve star rating visibility significantly increase their prices by an average of 2.69 € more than hosts with comparable offerings who do not experience this rating visibility during the time of observation. Out of all offerings who achieve rating visibility, we identify the upper quartile of hosts to be the main driver of this price increase, whereas the first 75% percent show only a marginal price reaction. These results can serve as a first step towards understanding the motivation of people to provide assets to the sharing economy.}},
  author       = {{Gutt, Dominik and Herrmann, Philipp}},
  booktitle    = {{Proceedings of the 23rd European Conference on Information Systems (ECIS), Münster}},
  location     = {{Münster, Germany}},
  title        = {{{Sharing Means Caring? Hosts' Price Reactions to Rating Visibility}}},
  year         = {{2015}},
}

@techreport{2822,
  author       = {{Han, K. and Kundisch, Dennis and Weinhardt, C. and Zimmermann, Steffen}},
  pages        = {{295--297}},
  title        = {{{Economics and Value of IS}}},
  volume       = {{57 (5)}},
  year         = {{2015}},
}

@inproceedings{259,
  author       = {{Gutt, Dominik and Kundisch, Dennis}},
  booktitle    = {{INFORMS Annual Meeting}},
  location     = {{Philadelphia, USA}},
  title        = {{{Rating Aggregation in Multi-Dimensional Rating Systems: How Do Reviewers Form Overall Ratings?}}},
  year         = {{2015}},
}

@inproceedings{289,
  abstract     = {{We examine the effect of the variance of consumer ratings on product pricing and sales using an analytical model, which considers goods that are characterized by experience attributes and informed search attributes (i.e., experience attributes that were transformed in search attributes by consumer ratings). For pure informed search goods, equilibrium price increases and demand decreases in variance. For pure experience goods, equilibrium price and demand decrease in variance. For hybrid goods with low total variance, equilibrium price and demand increase with an increasing relative share of variance caused by informed search attributes when the average rating and total variance of ratings are held constant. Hence, risk-averse consumers may prefer a more expensive good with a higher variance of ratings out of two similar goods with the same average rating. Moreover, our analytical model provides a theoretical foundation for the empirically observed j-shaped distribution of consumer ratings in electronic commerce.}},
  author       = {{Herrmann, Philipp and Kundisch, Dennis and Zimmermann, Steffen and Nault, Barry}},
  booktitle    = {{Proceedings of the 36th International Conference on Information Systems (ICIS), Fort Worth}},
  location     = {{Forth Worth, USA}},
  title        = {{{How do Different Sources of the Variance of Consumer Ratings Matter?}}},
  year         = {{2015}},
}

@inproceedings{2702,
  author       = {{Beutner, Marc and Kundisch, Dennis and Magenheim, J. and Rechuel, R.}},
  booktitle    = {{Proceedings of E-LEARN 2015 - World Conference on E-Learning}},
  location     = {{Kona, USA}},
  title        = {{{DUC - Fostering Diversity Aspects in Higher Education by eLearning and User generated Content}}},
  year         = {{2015}},
}

@inproceedings{2703,
  author       = {{Mutter, Tobias and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 23rd European Conference on Information Systems (ECIS)}},
  location     = {{Münster, Germany}},
  title        = {{{Behavioral Mechanisms Prompted by Virtual Rewards: The Small-Area Hypothesis}}},
  year         = {{2015}},
}

@inproceedings{2705,
  author       = {{Müller, M. and Meier, Christian and Kundisch, Dennis and Zimmermann, Steffen}},
  booktitle    = {{Wirtschaftsinformatik Proceedings}},
  location     = {{Osnabrück}},
  title        = {{{Interactions in IS Project Portfolio Selection: Status Quo and Perspective}}},
  year         = {{2015}},
}