@inproceedings{5681,
  author       = {{Prester, Julian and Wagner, Gerit and Schryen, Guido}},
  booktitle    = {{Proceedings of the 2018 International Conference on Information Systems (ICIS 2018)}},
  location     = {{San Francisco, CA, USA}},
  title        = {{{Classifying the Ideational Impact of IS Review Articles: A Natural Language Processing Based Approach}}},
  year         = {{2018}},
}

@book{6164,
  author       = {{Schillinger, Rolf and Schryen, Guido}},
  isbn         = {{978-3-88246-374-3}},
  publisher    = {{University of Regensburg}},
  title        = {{{Security in Highly Connected IT Systems – Results of the Bavarian Research Alliance FORSEC}}},
  doi          = {{10.5283/epub.36264}},
  year         = {{2018}},
}

@inbook{4519,
  author       = {{Lüttenberg, Hedda and Wolf, Verena and Beverungen, Daniel}},
  booktitle    = {{Service Engineering}},
  isbn         = {{9783658209049}},
  pages        = {{31--49}},
  publisher    = {{Springer Fachmedien Wiesbaden}},
  title        = {{{Service (Systems) Engineering für die Produktion}}},
  doi          = {{10.1007/978-3-658-20905-6_3}},
  year         = {{2018}},
}

@inproceedings{4520,
  author       = {{Neumann, Jürgen and Gutt, Dominik and Kundisch, Dennis}},
  booktitle    = {{Workshop on IS Design and Economic Behavior (ISDEB)}},
  location     = {{Lüneburg, Germany}},
  title        = {{{The Traveling Reviewer Problem - Exploring the Relationship Between Offline Locations and Online Rating Behavior}}},
  year         = {{2018}},
}

@inproceedings{4577,
  author       = {{Bohn, Nicolai and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 39th International Conference on Information Systems (ICIS)}},
  location     = {{San Francisco, USA}},
  title        = {{{An Extended Perspective of Technology Pivots in Software Startups: Towards a Theoretical Model}}},
  year         = {{2018}},
}

@inproceedings{4766,
  author       = {{Ingo Berendes, C. and Bartelheimer, Christian and Hendrik Betzing, Jan and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 39th International Conference on Information Systems}},
  location     = {{San Francisco USA}},
  title        = {{{Data-driven Customer Journey Mapping in Local High Streets: A Domain-specific Modeling Language}}},
  year         = {{2018}},
}

@misc{9687,
  author       = {{Beverungen, Daniel and Wolf, Verena and Bartelheimer, Christian}},
  booktitle    = {{Service Business Development. spot.on marketing - Der Newsletter für Marketing und Business Development}},
  title        = {{{Dienstleistungssysteme erfolgreich digital transformieren}}},
  year         = {{2018}},
}

@inproceedings{9709,
  author       = {{Gernreich, Chris and Wolf, Verena and Bartelheimer, Christian and Prinz, Christopher}},
  booktitle    = {{Proceedings of the 39th International Conference on Information Systems}},
  location     = {{San Francisco, USA}},
  title        = {{{The Impact of Process Automation on Manufacturers’ Long-Term Knowledge}}},
  year         = {{2018}},
}

@inproceedings{4362,
  author       = {{Schlangenotto, Darius and Kundisch, Dennis and Poniatowski, Martin}},
  booktitle    = {{Proceedings of the 24th Americas Conference on Information Systems (AMCIS)}},
  location     = {{New Orleans, USA}},
  title        = {{{What Drives Paid Search Success: A Systematic Literature Review}}},
  year         = {{2018}},
}

@inproceedings{4363,
  author       = {{Bohn, Nicolai and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 39th International Conference on Information Systems (ICIS)}},
  location     = {{Phoenix, Arizona, USA}},
  title        = {{{An Extended Perspective of Technology Pivots in Software Startups: Towards a Theoretical Model}}},
  year         = {{2018}},
}

@inproceedings{4364,
  author       = {{Neumann, Jürgen}},
  booktitle    = {{INFORMS Conference on Information Systems and Technology (CIST)}},
  location     = {{Phoenix, Arizona, USA}},
  title        = {{{The Economics of Online Reviews in Markets with Variety-Seeking Consumers}}},
  year         = {{2018}},
}

@inproceedings{4373,
  author       = {{Szopinski, Daniel}},
  booktitle    = {{Bosch Business Model Innovation Summit 2018}},
  location     = {{Renningen, Germany}},
  title        = {{{Towards software-based tools for business model development: Using external stimuli for business model idea generation}}},
  year         = {{2018}},
}

@inbook{5073,
  author       = {{Beverungen, Daniel and Wolf, Verena and Bartelheimer, Christian}},
  booktitle    = {{Service Business Development}},
  isbn         = {{9783658224233}},
  pages        = {{395--422}},
  publisher    = {{Springer Fachmedien Wiesbaden}},
  title        = {{{Digitale Transformation von Dienstleistungssystemen}}},
  doi          = {{10.1007/978-3-658-22424-0_17}},
  year         = {{2018}},
}

@inproceedings{5530,
  abstract     = {{Software companies nowadays create ecosystems of users and third-party providers around their platforms. They often provide online stores so that the third-party developments can be exposed to users directly. The resulting ecosystems differ significantly from each other in their architectural designs because their providers differ in terms of business goals and contexts. Until now, this architectural diversity and rationale behind it are not well-understood. Therefore, it is not clear which software features contribute to ecosystem’s success with respect to certain business goals and context. This hinders systematic creation of ecosystems in the future. Thus, decision-making becomes too risky; for future ecosystem providers, which may lead to creation of inefficient ecosystems that lack critical features, and for third-party providers to rely on ad-hoc choices while deciding on suitability of an ecosystem for their future career. In this paper, we introduce three design patterns for store- oriented software ecosystems by classifying the design decisions, business goals, and context of 111 store-oriented software ecosystems. Each design pattern provides an architectural solution to achieve a different business goal while supporting a different context. We discuss how the design patterns are applied together in order to achieve more business goals. Our work supports ecosystem and third-party providers by sharing practice-proven architectural solutions, helping them to take informed architectural decisions and reduce technical risks.}},
  author       = {{Jazayeri, Bahar and Zimmermann, Olaf and Küster, Jochen and Engels, Gregor and Kundisch, Dennis and Szopinski, Daniel}},
  booktitle    = {{The Latin American Conference on Pattern Languages of Programs (SLPLoP)}},
  publisher    = {{ACM. To appear}},
  title        = {{{Patterns of Store-oriented Software Ecosystems: Detection, Classification, and Analysis of Design Options}}},
  year         = {{2018}},
}

@article{5586,
  abstract     = {{The need to protect resources against attackers is reflected by huge information security investments of firms worldwide. In the presence of budget constraints and a diverse set of assets to protect, organizations have to decide in which IT security measures to invest, how to evaluate those investment decisions, and how to learn from past decisions to optimize future security investment actions. While the academic literature has provided valuable insights into these issues, there is a lack of empirical contributions. To address this lack, we conduct a theory-based exploratory multiple case study. Our case study reveals that (1) firms? investments in information security are largely driven by external environmental and industry-related factors, (2) firms do not implement standardized decision processes, (3) the security process is perceived to impact the business process in a disturbing way, (4) both the implementation of evaluation processes and the application of metrics are hardly existent and (5) learning activities mainly occur at an ad-hoc basis.}},
  author       = {{Weishäupl, Eva and Yasasin, Emrah and Schryen, Guido}},
  journal      = {{Computers & Security}},
  keywords     = {{Information Security Investments, Multiple Case Study, Organizations, Single Loop Learning, Double Loop Learning}},
  pages        = {{807 -- 823}},
  publisher    = {{Elsevier}},
  title        = {{{Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning}}},
  volume       = {{77}},
  year         = {{2018}},
}

@inproceedings{5600,
  author       = {{Schuster, Richard and Wagner, Gerit and Schryen, Guido}},
  booktitle    = {{Proceedings of the 2018 International Conference on Information Systems (ICIS 2018)}},
  location     = {{San Francisco, CA, USA}},
  title        = {{{Information Systems Design Science Research and Cumulative Knowledge Development: An Exploratory Study}}},
  year         = {{2018}},
}

@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}},
}