@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}}, } @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}}, } @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}}, } @article{10792, author = {{Khan, Gohar Feroz and Trier, Matthias}}, issn = {{0960-085X}}, journal = {{European Journal of Information Systems}}, number = {{4}}, pages = {{370--393}}, title = {{{Assessing the long-term fragmentation of information systems research with a longitudinal multi-network analysis}}}, doi = {{10.1080/0960085x.2018.1547853}}, volume = {{28}}, year = {{2019}}, } @article{12929, author = {{Bräuer, Sebastian and Plenter, Florian and Klör, Benjamin and Monhof, Markus and Beverungen, Daniel and Becker, Jörg}}, issn = {{2198-3402}}, journal = {{Business Research}}, title = {{{Transactions for trading used electric vehicle batteries: theoretical underpinning and information systems design principles}}}, doi = {{10.1007/s40685-019-0091-9}}, year = {{2019}}, } @inbook{14890, author = {{Kuhlemann, Stefan and Sellmann, Meinolf and Tierney, Kevin}}, booktitle = {{Lecture Notes in Computer Science}}, isbn = {{9783030300470}}, issn = {{0302-9743}}, title = {{{Exploiting Counterfactuals for Scalable Stochastic Optimization}}}, doi = {{10.1007/978-3-030-30048-7_40}}, year = {{2019}}, } @inproceedings{14017, author = {{Szopinski, Daniel and John, Thomas and Kundisch, Dennis}}, booktitle = {{TREO Talks in conjunction with the 40th International Conference on Information Systems (ICIS)}}, location = {{Munich, Germany}}, title = {{{Teaching business model innovation to large and interdisciplinary IS/IT classes: A didactic approach involving peer feedback via self-recorded video presentations}}}, year = {{2019}}, } @inproceedings{14019, author = {{Szopinski, Daniel}}, location = {{Renningen, Germany}}, title = {{{Activate software-based business model development tools: An exploratory study}}}, year = {{2019}}, } @article{14023, author = {{Beverungen, Daniel and Breidbach, Christoph F. and Poeppelbuss, Jens and Tuunainen, Virpi Kristiina}}, issn = {{1350-1917}}, journal = {{Information Systems Journal}}, title = {{{Smart service systems: An interdisciplinary perspective}}}, doi = {{10.1111/isj.12275}}, year = {{2019}}, } @article{14540, author = {{Schryen, Guido and Kliewer, Natalia and Borndörfer, Ralf and Koch, Thorsten}}, journal = {{OR News}}, pages = {{34--35}}, title = {{{High-Performance Business Computing – Parallel Algorithms and Implementations for Solving Problems in Operations Research and Data Analysis}}}, volume = {{65}}, year = {{2019}}, } @inproceedings{14543, author = {{Szopinski, Daniel and John, Thomas and Kundisch, Dennis}}, location = {{Munich, Germany}}, title = {{{Digital Tools for Teaching Business Model Innovation in Information Systems: A newly developed didactic approach comprising video-based peer feedback}}}, year = {{2019}}, } @phdthesis{13125, author = {{Görzen, Thomas}}, publisher = {{Universität Paderborn}}, title = {{{Essays on Crowd Based Idea Evaluation - Empirical Evidence from an Anonymous Online Crowd}}}, year = {{2019}}, } @phdthesis{10290, author = {{Gutt, Dominik}}, title = {{{Essays on Drivers and Economic Outcomes of Online-Reviews}}}, doi = {{10.17619/UNIPB/1-688}}, year = {{2019}}, } @inproceedings{13585, author = {{Bohn, Nicolai and Kundisch, Dennis}}, booktitle = {{Proceedings of the 40th International Conference on Information Systems (ICIS)}}, location = {{Munich, Germany}}, title = {{{All Things Considered? – Technology Design Decision-making Characteristics in Digital Startups}}}, year = {{2019}}, } @inproceedings{13586, author = {{Seutter, Janina and Neumann, Jürgen}}, booktitle = {{Proceedings of the 40th International Conference on Information Systems (ICIS)}}, location = {{Munich, Germany}}, title = {{{Head over Feels? Differences in Online Rating Behavior for Utilitarian and Hedonic Service Aspects}}}, year = {{2019}}, } @inproceedings{13587, author = {{Gutt, Dominik and Neumann, Jürgen and Jabr, W. and Kundisch, Dennis}}, booktitle = {{Proceedings of the 40th International Conference on Information Systems (ICIS)}}, location = {{Munich, Germany}}, title = {{{The App Updating Conundrum: Implications of Platform’s Rating Resetting on Developers’ Behavior}}}, year = {{2019}}, } @inproceedings{17096, abstract = {{Augmented Reality (AR) technologies have evolved rapidly over the last years, particularly with regard to user interfaces, input devices, and cameras used in mobile devices for object and gesture recognition. While early AR systems relied on pre-defined trigger images or QR code markers, modern AR applications leverage machine learning techniques to identify objects in their physical environments. So far, only few empirical studies have investigated AR's potential for supporting learning and task assistance using such marker-less AR. In order to address this research gap, we implemented an AR application (app)with the aim to analyze the effectiveness of marker-less AR applied in a mundane setting which can be used for on-the-job training and more formal educational settings. The results of our laboratory experiment show that while participants working with AR needed significantly more time to fulfill the given task, the participants who were supported by AR learned significantly more.}}, author = {{Sommerauer, Peter and Müller, Oliver and Maxim, Leonard and Østman, Nils}}, booktitle = {{International Conference on Wirtschaftsinformatik}}, title = {{{The Effect of Marker-less Augmented Reality on Task and Learning Performance}}}, year = {{2019}}, }