@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}},
}

@inproceedings{91,
  abstract     = {{The interest in business model innovation has risen rapidly in recent years, and software tools for business model development hold great promise for supporting business model innovation. Nonetheless, virtually no design-relevant knowledge exists concerning the functions that such tools should possess. Therefore, we develop a comprehensive taxonomy that identifies characteristic functions of software-based business model development tools. For developing the taxonomy, we draw on prior research on business model innovation, process modeling, and creativity support systems, and we analyze software tools for business model development that have been proposed in practice. The resulting taxonomy can support practitioners in their tool (re-)design and investment decisions, and for researchers can serve as a preliminary step towards more advanced theories for software tools for business model development.}},
  author       = {{Szopinski, Daniel and Schoormann, Thorsten and John, Thomas and Knackstedt, Ralf and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 23rd Americas Conference on Information Systems (AMCIS)}},
  location     = {{Boston, USA}},
  title        = {{{How Software Can Support Innovating Business Models: A Taxonomy of Functions of Business Model Development Tools}}},
  year         = {{2017}},
}

@inproceedings{92,
  author       = {{Szopinski, Daniel and Schoormann, Thorsten and John, Thomas and Knackstedt, Ralf and Kundisch, Dennis}},
  booktitle    = {{Bosch Business Model Innovation Summit 2017}},
  location     = {{Renningen, Germany}},
  title        = {{{How Software Can Support Innovating Business Models: A Taxonomy of Functions of Business Model Development Tools}}},
  year         = {{2017}},
}

@misc{95,
  author       = {{Kundisch, Dennis and John, Thomas}},
  booktitle    = {{Enzyklopädie der Wirtschaftsinformatik, GITO}},
  title        = {{{Geschäftsmodell-Modellierungssprache/Business Model Modeling Language}}},
  year         = {{2017}},
}

@inproceedings{77,
  abstract     = {{Das Enterprise Architecture Management stellt umfangreiche Methoden, Modelle und Frameworks f{\"u}r die Modellierung von Unternehmensarchitekturen zur Verf{\"u}gung. Die Entwicklung von Software und deren Integration in IT-Landschaften ist heutzutage zunehmend von Komplexit{\"a}t und Unsicherheit gepr{\"a}gt. Dieser Beitrag (Research-in-progress) m{\"o}chte ein neues Paradigma – das „On-The-Fly Computing“ – vorschlagen, um diesen Herausforderungen zu begegnen, m{\"o}gliche L{\"o}sungsans{\"a}tze zu diskutieren sowie erste Ergebnisse eines Referenzmodells f{\"u}r individualisierte IT-Dienstleistungen in dynamischen Software-M{\"a}rkten dokumentieren.}},
  author       = {{Szopinski, Daniel and Jazayeri, Bahar and Engels, Gregor and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the Workshop Enterprise Architecture Management in Forschung und Praxis, INFORMATIK 2017, Chemnitz, Germany}},
  pages        = {{2059--2066}},
  publisher    = {{GI}},
  title        = {{{On-The-Fly Computing: Ein Referenzmodell für individualisierte IT-Dienstleistungen in dynamischen Märkten}}},
  year         = {{2017}},
}

@inproceedings{45,
  abstract     = {{The importance of online ratings on sales is widely acknowledged. Firms need to find ways of increasing the number of ratings and rating scores, but how they can achieve this effectively is less well established. In this paper we analyze the impact of an unconditional gift on customers’ rating behavior in an online field experiment. Contrary to prevalent advice, our results suggest that providing a gift is not necessarily beneficial. Younger customers are significantly less likely to rate when exposed to an unconditional gift. Regression analysis reveals that age serves as a moderator and older customers even respond slightly positive to a gift. Having detected a negative effect of gifts on rating behavior provides first indicative evidence of a possible crowding out of intrinsic motivation in the context of online ratings. This has direct implications for practitioners considering the usage of gifts to elicit online ratings.}},
  author       = {{Gutt, Dominik and Schlangenotto, Darius and Kundisch, Dennis}},
  booktitle    = {{Wirtschaftsinformatik Proceedings, St. Gallen, Switzerland}},
  title        = {{{You can’t buy my rating! On the pivotal effect of an unconditional gift on rating behavior}}},
  year         = {{2017}},
}

@inbook{48,
  author       = {{Kundisch, Dennis and Gutt, Dominik}},
  booktitle    = {{Digitale Ökonomie - Wie verändern sich die Märkte?}},
  editor       = {{Hannappel, Sandra and Rehm, Rebekka}},
  title        = {{{Was bedeutet die Transformation der Märkte im digitalen Zeitalter? Ökonomische Grundlagen}}},
  year         = {{2017}},
}

@inproceedings{49,
  abstract     = {{A multiplicity of visual languages have been proposed for representing business models. These languages are claimed to facilitate tasks such as understanding, communicating, and innovating a business model; and have been developed rather independently by scholars from accounting, computer science, information systems, and strategy. Consequently, the existing approaches greatly differ and to some extent contradict each other, for example, regarding their understanding of the business model concept, their terminology, and their visual notations – which means there is little common ground for developing a cumulative stream of research. Therefore, we provide a systematic, cross-disciplinary review of this emerging field and synthesize the pragmatic, semantic, and syntactic foundations of the proposed approaches. Further, we derive an agenda for future research and discuss the challenges that lie ahead to advance the field.}},
  author       = {{John, Thomas and Kundisch, Dennis and Szopinski, Daniel}},
  booktitle    = {{Proceedings of the 38th International Conference on Information Systems (ICIS), Seoul, South Korea}},
  title        = {{{Visual Languages for Modeling Business Models: A Critical Review and Future Research Directions}}},
  year         = {{2017}},
}

@inproceedings{52,
  author       = {{John, Thomas and Szopinski, Daniel}},
  booktitle    = {{1st Business Model Conference}},
  location     = {{Venice, Italy}},
  title        = {{{Towards Explaining the Popularity of the Business Model Canvas: A Dual-coding Approach}}},
  year         = {{2017}},
}

@inproceedings{53,
  abstract     = {{Amongst the growing body of literature on the drivers of online ratings, the influence of
customers’ local offline environment on their ratings has largely been neglected. This
study examines the relationship between ratings made outside of a customer’s home area
and the magnitude of online ratings. We employ a data-driven identification of a
customer’s geographic home area and use variation in this variable to identify the
consequences for the magnitude of ratings. In line with our theory, we find that customers
who rate while traveling give, on average, higher ratings than locals. However, this
relationship is moderated by the posting time of a review relative to consumption, as
travelers post more negative ratings during or shortly after consumption. These
relationships are most pronounced for customers who travel and rate less frequently. Our
results come with substantial implications for a business’s average rating and for
customer decision making. }},
  author       = {{Neumann, Jürgen and Gutt, Dominik and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 38th International Conference on Information Systems (ICIS)}},
  location     = {{Seoul, South Korea}},
  title        = {{{The Traveling Reviewer Problem – Exploring the Relationship Between Offline Locations and Online Rating Behavior}}},
  year         = {{2017}},
}

@inproceedings{54,
  author       = {{Neumann, Jürgen and Gutt, Dominik and Kundisch, Dennis}},
  booktitle    = {{INFORMS Annual Meeting}},
  location     = {{Houston, USA}},
  title        = {{{The Traveling Reviewer Problem – Exploring the Relationship between Offline Locations and Online Rating Behavior}}},
  year         = {{2017}},
}

@inproceedings{56,
  author       = {{John, Thomas}},
  booktitle    = {{1st Business Model Conference}},
  location     = {{Venice, Italy}},
  title        = {{{Supporting Business Model Idea Generation Through Machine-generated Ideas: A Design Theory}}},
  year         = {{2017}},
}

@inproceedings{1094,
  abstract     = {{Many university students struggle with motivational problems, and gamification has the potential to address these problems. However, gamification is hardly used in education, because current approaches to gamification require instructors to engage in the time-consuming preparation of their course contents for use in quizzes, mini-games and the like. Drawing on research on limited attention and present bias, we propose a "lean" approach to gamification, which relies on gamifying learning activities (rather than learning contents) and increasing their salience. In this paper, we present the app StudyNow that implements such a lean gamification approach. With this app, we aim to enable more students and instructors to benefit from the advantages of gamification.}},
  author       = {{Feldotto, Matthias and John, Thomas and Kundisch, Dennis and Hemsen, Paul and Klingsieck, Katrin and Skopalik, Alexander}},
  booktitle    = {{Proceedings of the 12th International Conference on Design Science Research in Information Systems and Technology (DESRIST)}},
  pages        = {{462--467}},
  title        = {{{Making Gamification Easy for the Professor: Decoupling Game and Content with the StudyNow Mobile App}}},
  doi          = {{10.1007/978-3-319-59144-5_32}},
  year         = {{2017}},
}

@inproceedings{121,
  abstract     = {{Research on ad copy design is well-studied in the context of offline marketing. However, researchers have only recently started to investigate ad copies in the context of paid search, and have not yet explored the potential of information cues to enhance customers’ search process. In this paper we analyze the impact of an information cue on user behavior in ad copies. Contrary to prevalent advice, results suggest that reducing the number of words in an ad is not always beneficial. Users act quite differently (and unexpectedly) in response to an information cue depending on their search phrases. In turn, practitioners could leverage the observed moderating effect of an information cue to enhance paid search success. Furthermore, having detected deviating user behavior in terms of clicks and conversions, we provide first indicative evidence of a self-selection mechanism at play when paid search users respond to differently phrased ad copies.}},
  author       = {{Schlangenotto, Darius and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 50th annual Hawaii International Conference on System Sciences (HICSS), Waikoloa Village, HI, USA}},
  title        = {{{Achieving more by saying less? On the Moderating Effect of Information Cues in Paid Search}}},
  year         = {{2017}},
}

@inproceedings{122,
  abstract     = {{Current research on paid search highlights its ability to enhance both online and offline conversions. Yet, research investigating the impact of placing paid search ads on less prominent positions on subsequent consumer behavior is limited to the online environment. This paper presents a field experiment using differences-in-differences analysis to investigate whether the targeting of a less prominent ad position can be beneficial for bricks-and-mortar retailers. Results indicate that paid search advertising budgets could be allocated more efficiently by targeting less prominent ad positions, thus allowing bricks-and-mortar retailers with a limited marketing budget to increase the reach of their marketing campaign, attract more consumers to their website and achieve an overall increase in conversions. Furthermore, the pay-per-click billing mechanism allows advertisers to increase their marketing reach at no additional cost. Consequently, bricks-and-mortar retailers should consider targeting less prominent ad positions to reduce advertising costs while simultaneously enhancing advertising benefits.}},
  author       = {{Schlangenotto, Darius and Kundisch, Dennis and Gutt, Dominik}},
  booktitle    = {{Proceedings of the 38th International Conference on Information Systems (ICIS), Seoul, South Korea}},
  location     = {{Seoul, South Korea}},
  title        = {{{Achieving More by Paying Less? How Bricks-and-Mortar Retailers Can Benefit by Bidding Less Aggressively in Paid Search}}},
  year         = {{2017}},
}

@techreport{123,
  author       = {{Jazayeri, Bahar and Zimmermann, Olaf and Engels, Gregor and Kundisch, Dennis}},
  publisher    = {{Universität Paderborn}},
  title        = {{{A Variability Model for Store-oriented Software Ecosystems: An Enterprise Perspective (Supplementary Material)}}},
  year         = {{2017}},
}

@inproceedings{124,
  abstract     = {{Pioneers of today’s software industry like Salesforce and Apple have established successful ecosystems around their software platforms. Architectural knowledge of the existing ecosystems is implicit and fragmented among online documentation. In protection of intellectual property, existing documentation hardly reveals influential business strategies that affect the ecosystem structure. Thus, other platform providers can hardly learn from the existing ecosystems in order to systematically make reasonable design decisions with respect to their business strategies to create their own ecosystems. In this paper, we identify a variability model for architectural design decisions of a store-oriented software ecosystem product line from an enterprise perspective, comprising business, application, and infrastructure views. We derive the variability model from fragmentary material of existing ecosystems and a rigorous literature review using a research method based on the design science paradigm. To show its validity, we describe real-world ecosystems from diverse domains using the variability model. This knowledge helps platform providers to develop customized ecosystems or to recreate existing designs in a systematic way. This, in turn, contributes to an increase in designer and developer productivity.}},
  author       = {{Jazayeri, Bahar and Zimmermann, Olaf and Engels, Gregor and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 15th International Conference on Service Oriented Computing (ICSOC)}},
  publisher    = {{Springer}},
  title        = {{{A Variability Model for Store-oriented Software Ecosystems: An Enterprise Perspective}}},
  doi          = {{10.1007/978-3-319-69035-3_42}},
  volume       = {{10601}},
  year         = {{2017}},
}

@inproceedings{126,
  abstract     = {{Optimal price setting in peer-to-peer markets featuring online ratings requires incorporating interactions between prices and ratings. Additionally, recent literature reports that online ratings in peer-to-peer markets tend to be inflated overall, undermining the reliability of online ratings as a quality signal. This study proposes a two-period model for optimal price setting that takes (potentially inflated) ratings into account. Our theoretical findings suggest that sellers in the medium-quality segment have an incentive to lower first-period prices to monetize on increased second-period ratings and that the possibility on monetizing on second-period ratings depends on the reliability of the rating system. Additionally, we find that total profits and prices increase with online ratings and additional quality signals. Empirically, conducting Difference-in-Difference regressions on a comprehensive panel data set from Airbnb, we can validate that price increases lead to lower ratings, and we find empirical support for the prediction that additional quality signals increase prices. Our work comes with substantial implications for sellers in peer-to-peer markets looking for an optimal price setting strategy. Moreover, we argue that our theoretical finding on the weights between online ratings and additional quality signals translates to conventional online markets.}},
  author       = {{Neumann, Jürgen and Gutt, Dominik}},
  booktitle    = {{Proceedings of the 25th Conference on Information Systems (ECIS)}},
  location     = {{Guimaraes, Portugal}},
  title        = {{{A Homeowner’s Guide to Airbnb: Theory and Empirical Evidence for Optimal Pricing Conditional on Online Ratings}}},
  year         = {{2017}},
}