@inproceedings{9617,
  author       = {{Betzing, Jan H. and Bartelheimer, Christian and Niemann, Marco and Berendes, Carsten Ingo and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 27th European Conference on Information Systems (ECIS)}},
  location     = {{Stockholm}},
  title        = {{{Quantifying the Impact of Geospatial Recommendations: A Field Experiment in High Street Retail}}},
  year         = {{2019}},
}

@inproceedings{9708,
  abstract     = {{Increased interconnectedness of multiple actors and digital resources in service eco-systems offer new opportunities for service innovation. In digitally transforming eco-systems, organizations need to explore and exploit innovation simultaneously, which is defined as ambidexterity. However, research on ambidextrous service innovation is scarce. We provide a systematic literature review based on the concepts of ambidexterity, offering two contributions. First, research strands are disconnected, emphasizing either exploration or exploitation of service innovation, despite an organizations’ need to accelerate innovation cycles of exploring and exploiting services. Second, a new framework for ambidextrous service innovation is provided, inspired by the dynamism and generative mechanisms of the ontologically related concept of organizational routines. The framework adopts the perspective of a mutually constitutive relationship between exploring new and exploiting current resources, activities, and knowledge. The findings remedy the scattered literature through a coherent perspective on service innovation that responds to organizations’ needs and guides future research.}},
  author       = {{Wolf, Verena}},
  booktitle    = {{Proceedings of the 14th International Conference on Wirtschaftsinformatik}},
  keywords     = {{Exploration, Exploitation, Service Innovation, Organizational Routines, Ambidexterity}},
  location     = {{Siegen, Germany}},
  title        = {{{Ambidexterity in Service Innovation Research: A Systematic Literature Review}}},
  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}},
}

@inproceedings{9777,
  author       = {{Poniatowski, Martin and Neumann, Jürgen and Görzen, Thomas and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 27th European Conference on Information Systems (ECIS)}},
  location     = {{Stockholm, Sweden}},
  title        = {{{Organizing Their Thoughts – How Online Review Templates Affect the Review Text}}},
  year         = {{2019}},
}

@inproceedings{9778,
  author       = {{Gutt, Dominik and Neumann, Jürgen}},
  booktitle    = {{Proceedings of the 27th European Conference on Information Systems (ECIS)}},
  location     = {{Stockholm, Sweden}},
  title        = {{{The Virtues of Anonymity - An Empirical Investigation of the Relationship between B2B Online Ratings and Reviewer Self-Disclosure}}},
  year         = {{2019}},
}

@inproceedings{9779,
  author       = {{Neumann, Jürgen and Gutt, Dominik}},
  booktitle    = {{Proceedings of the 27th European Conference on Information Systems (ECIS)}},
  location     = {{Stockholm, Sweden}},
  title        = {{{He Who Pays the Piper Calls the Tune: Online Review Elicitation by Sellers and Third-Party Platforms in B2B Markets}}},
  year         = {{2019}},
}

@inproceedings{9780,
  author       = {{Bohn, Nicolai}},
  booktitle    = {{Proceedings of the 25th Americas Conference on Information Systems (AMCIS)}},
  location     = {{Cancun, Mexico}},
  title        = {{{Do Digital Startups Prepare for Technology Pivots? - An Initial Analysis of Job Adverts}}},
  year         = {{2019}},
}

@inproceedings{9850,
  abstract     = {{A business model describes the mechanisms whereby a firm creates, delivers, and captures value. Following the steadily growing interest in business model innovation, software tools have shown great potential in supporting business model development and innovation. Yet, understanding the cognitive processes involved in the generation of business model ideas is an aspect of software design-knowledge that has so far been neglected. To investigate whether providing stimuli – in this case, brainstorming questions – can enhance individual creativity in this context, we conduct an exploratory experiment with over 100 participants. Our study is the first to systematically investigate the process of idea generation using a software-based business model development tool with stimuli. Our preliminary findings have the potential to support the future development of business model development tools and to refine the research design used to evaluate such tools.}},
  author       = {{Szopinski, Daniel}},
  booktitle    = {{Proceedings of the ACM Creativity & Cognition}},
  keywords     = {{Business model innovation, idea generation, cognitive stimuli, business model development tools, experiment, creativity support system}},
  location     = {{San Diego, USA}},
  title        = {{{Can stimuli improve business model idea generation? Developing software-based tools for business model innovation}}},
  year         = {{2019}},
}

@article{9853,
  abstract     = {{Business model innovation is typically taught in small seminars at universities. Teaching this intrinsically task-oriented subject to a large number of students is a challenge. In this paper we address this challenge by proposing an experiential and interactive approach to teaching business models in a large classroom setting.}},
  author       = {{Szopinski, Daniel}},
  journal      = {{Journal of Business Models}},
  keywords     = {{Business model teaching, peer assessment, experiential learning}},
  number       = {{3}},
  pages        = {{90--100}},
  title        = {{{Squaring the circle: Business model teaching in large classroom settings}}},
  volume       = {{7}},
  year         = {{2019}},
}

@article{9920,
  author       = {{Fritz, Marlon and Gries, Thomas and Feng, Yuanhua}},
  issn         = {{0165-1765}},
  journal      = {{Economics Letters}},
  pages        = {{47--50}},
  title        = {{{Secular stagnation? Is there statistical evidence of an unprecedented, systematic decline in growth?}}},
  doi          = {{10.1016/j.econlet.2019.04.021}},
  volume       = {{181}},
  year         = {{2019}},
}

@article{3936,
  author       = {{Gutt, Dominik and Herrmann, Philipp and Rahman, Mohammad}},
  journal      = {{Information Systems Research}},
  number       = {{3}},
  pages        = {{980--994}},
  title        = {{{Crowd-Driven Competitive Intelligence: Understanding the Relationship between Local Market Competition and Online Rating Distributions}}},
  volume       = {{30}},
  year         = {{2019}},
}

@inproceedings{4400,
  author       = {{Görzen, Thomas}},
  booktitle    = {{Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS)}},
  location     = {{Maui, Hawaii, USA}},
  title        = {{{Can Experience be Trusted? Investigating the Effect of Experience on Decision Biases in Crowdworking Platforms}}},
  year         = {{2019}},
}

@techreport{5411,
  abstract     = {{Öffentlich gelistete Firmen, die die Mehrheit an anderen börsennotierten Unternehmen er-werben und den Kapitalmarkt an den Synergieerwartungen teilhaben lassen, werden mit höheren kumulativen abnormalen Renditen im Ankündigungszeitpunkt belohnt verglichen mit solchen Unternehmen, die diese geheim halten. Des Weiteren ist die empirische Evi-denz konsistent mit der Idee, dass diese Käuferunternehmen ihre Transaktionen besser in-tegrieren, weil auch die industrieadjustierten Ein- und Zweijahresrenditen der ankündigen-den Unternehmen ökonomisch und statistisch signifikant höher sind als die der zurückhal-tenden Käuferfirmen. }},
  author       = {{Mehring, Oliver and Sievers, Sönke and Keienburg, Georg and Kengelbach, Jens}},
  pages        = {{76--84}},
  publisher    = {{Corporate Finance}},
  title        = {{{Wertgenerierung bei M&A Transaktionen durch Bekanntgabe von Synergien?}}},
  volume       = {{3-4}},
  year         = {{2019}},
}

@article{6512,
  abstract     = {{Scheduling problems are essential for decision making in many academic disciplines, including operations management, computer science, and information systems. Since many scheduling problems are NP-hard in the strong sense, there is only limited research on exact algorithms and how their efficiency scales when implemented on parallel computing architectures. We address this gap by (1) adapting an exact branch-and-price algorithm to a parallel machine scheduling problem on unrelated machines with sequence- and machine-dependent setup times, (2) parallelizing the adapted algorithm by implementing a distributed-memory parallelization with a master/worker approach, and (3) conducting extensive computational experiments using up to 960 MPI processes on a modern high performance computing cluster. With our experiments, we show that the efficiency of our parallelization approach can lead to superlinear speedup but can vary substantially between instances. We further show that the wall time of serial execution can be substantially reduced through our parallelization, in some cases from 94 hours to less than six minutes when our algorithm is executed on 960 processes.}},
  author       = {{Rauchecker, Gerhard and Schryen, Guido}},
  journal      = {{Computers & Operations Research}},
  keywords     = {{parallel machine scheduling with setup times, parallel branch-and-price algorithm, high performance computing, master/worker parallelization}},
  number       = {{104}},
  pages        = {{338--357}},
  publisher    = {{Elsevier}},
  title        = {{{Using High Performance Computing for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm}}},
  year         = {{2019}},
}

@inproceedings{6514,
  abstract     = {{Recommender Agents (RAs) facilitate consumers’ online purchase decisions for complex, multi-attribute products. As not all combinations of attribute levels can be obtained, users are forced into trade-offs. The exposure of trade-offs in a RA has been found to affect consumers’ perceptions. However, little is known about how different preference elicitation methods in RAs affect consumers by varying degrees of trade-off exposure. We propose a research model that investigates how different levels of trade-off exposure cognitively and affectively influence consumers’ satisfaction with RAs. We operationalize these levels in three different RA types and test our hypotheses in a laboratory experiment with 116 participants. Our results indicate that with increasing tradeoff exposure, perceived enjoyment and perceived control follow an inverted Ushaped relationship. Hence, RAs using preference elicitation methods with medium trade-off exposure yield highest consumer satisfaction. This contributes to the understanding of trade-offs in RAs and provides valuable implications to e-commerce practitioners.}},
  author       = {{Schuhbeck, Veronika and Siegfried, Nils and Dorner, Verena and Benlian, Alexander and Scholz, Michael and Schryen, Guido}},
  booktitle    = {{Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik}},
  keywords     = {{Recommender Agents, Preference Elicitation Method, Trade-off Exposure, Customer Satisfaction}},
  location     = {{Siegen, Germany}},
  pages        = {{55--64}},
  title        = {{{Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents}}},
  year         = {{2019}},
}

@article{6734,
  author       = {{Gries, Thomas and Fritz, Marlon and Yuanhua, Feng}},
  journal      = {{Oxford Bulletin of Economics and Statistics}},
  number       = {{1}},
  pages        = {{62--78}},
  title        = {{{Growth Trends and Systematic Patterns of Boom and Busts –Testing 200 Years of Business Cycle Dynamics}}},
  doi          = {{10.1111/obes.12267}},
  volume       = {{81}},
  year         = {{2019}},
}

@inproceedings{6856,
  author       = {{Müller, Michelle and Gutt, Dominik}},
  booktitle    = {{Wirtschaftsinformatik Proceedings 2019}},
  location     = {{Siegen, Germany}},
  title        = {{{Heart over Heels? An Empirical Analysis of the Relationship between Emotions and Review Helpfulness for Experience and Credence Goods}}},
  year         = {{2019}},
}

@inproceedings{6857,
  author       = {{Poniatowski, Martin and Neumann, Jürgen and Görzen, Thomas and Kundisch, Dennis}},
  booktitle    = {{Wirtschaftsinformatik Proceedings 2019}},
  location     = {{Siegen, Germany}},
  title        = {{{A Semi-Automated Approach for Generating Online Review Templates, }}},
  year         = {{2019}},
}