@inproceedings{16946,
  author       = {{Wolf, Verena}},
  booktitle    = {{Proceedings of the 28th European Conference on Information Systems}},
  location     = {{Marrakech, Morroco}},
  title        = {{{Understanding Smart Service Systems Transformation – A Socio-Technical Perspective}}},
  year         = {{2020}},
}

@inproceedings{16947,
  author       = {{Weinzierl, Sven and Wolf, Verena and Pauli, Tobias and Beverungen, Daniel and Matzner, Martin}},
  booktitle    = {{Proceedings of the 28th European Conference on Information Systems}},
  location     = {{Marrakech, Morroco}},
  title        = {{{Detecting Workarounds in Business Processes — A Deep Learning Method for Analyzing Event Logs}}},
  year         = {{2020}},
}

@inproceedings{16951,
  author       = {{Seutter, Janina and Neumann, Jürgen}},
  booktitle    = {{Proceedings of the 28th European Conference on Information Systems (ECIS)}},
  location     = {{Virtual Conference/Workshop}},
  title        = {{{Reviewing the Simple Things- How Ease of Evaluation Affects Online Rating Behavior}}},
  year         = {{2020}},
}

@inproceedings{16952,
  author       = {{Poniatowski, Martin and Neumann, Jürgen}},
  booktitle    = {{Proceedings of the 28th European Conference on Information Systems (ECIS)}},
  location     = {{Virtual Conference/Workshop}},
  title        = {{{Getting Personal with Review Systems –  Analyzing the Influence of Personality Traits on the Relationship between Review Templates and Reviewing Behavior}}},
  year         = {{2020}},
}

@techreport{17019,
  abstract     = {{The scientific impact of research papers is multi-dimensional and can be determined quantitatively by means of citation analysis and qualitatively by means of content analysis. Accounting for the widely acknowledged limitations of pure citation analysis, we adopt a knowledge-based perspective on scientific impact to develop a methodology for content-based citation analysis which allows determining how papers have enabled knowledge development in subsequent research (knowledge impact). As knowledge development differs between research genres, we develop a new knowledgebased citation analysis methodology for the genre of standalone literature reviews (LRs). We apply the suggested methodology to the IS business value domain by manually coding 22 LRs and 1,228 citing papers (CPs) and show that the results challenge the assumption that citations indicate knowledge impact. We derive implications for distinguishing knowledge impact from citation impact in the LR genre. Finally, we develop recommendations for authors of LRs, scientific evaluation committees and editorial boards of journals how to apply and benefit from the suggested methodology, and we discuss its efficiency and automatization.}},
  author       = {{Schryen, Guido and Wagner, Gerit and Benlian, Alexander}},
  keywords     = {{Scientific impact, knowledge impact, content-based citation analysis, methodology}},
  title        = {{{Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre}}},
  year         = {{2020}},
}

@article{17051,
  author       = {{Liêu, Minh-Lý and Pelster, Matthias}},
  issn         = {{2352-3409}},
  journal      = {{Data in Brief}},
  title        = {{{The disposition effect in a scopic regime: Data from a laboratory experiment}}},
  doi          = {{10.1016/j.dib.2020.105680}},
  year         = {{2020}},
}

@inproceedings{17055,
  abstract     = {{Understanding a new literature corpus can be a grueling experience for junior scholars. Nevertheless, corresponding guidelines have not been updated for decades. We contend that the traditional strategy of skimming all papers and reading selected papers afterwards needs to be revised. Therefore, we design a new strategy that guides the overall exploratory process by prioritizing influential papers for initial reading, followed by skimming the remaining papers. Consistent with schemata theory, starting with in-depth reading allows readers to acquire more substantial prior content schemata, which are representa-tive for the literature corpus and useful in the following skimming process. To this end, we develop a prototype that identifies the influential papers from a set of PDFs, which is illustrated in a case study in the IT business value domain. With the new strategy, we envision a more efficient process of exploring unknown literature corpora.}},
  author       = {{Wagner, Gerit and Empl, Philipp and Schryen, Guido}},
  booktitle    = {{28th European Conference on Information Systems (ECIS 2020)}},
  keywords     = {{Reading and skimming, Exploring literature, Review methodology, Design science research, Schemata theory}},
  location     = {{Marrakesh, Morocco}},
  title        = {{{Designing a Novel Strategy for Exploring Literature Corpora}}},
  year         = {{2020}},
}

@article{17072,
  author       = {{Feng, Yuanhua and Gries, Thomas and Fritz, Marlon}},
  issn         = {{1048-5252}},
  journal      = {{Journal of Nonparametric Statistics}},
  pages        = {{510--533}},
  title        = {{{Data-driven local polynomial for the trend and its derivatives in economic time series}}},
  doi          = {{10.1080/10485252.2020.1759598}},
  year         = {{2020}},
}

@article{17074,
  author       = {{Gries, Thomas and Grundmann, Rainer}},
  issn         = {{1363-6669}},
  journal      = {{Review of Development Economics}},
  pages        = {{644--667}},
  title        = {{{Modern sector development: The role of exports and institutions in developing countries}}},
  doi          = {{10.1111/rode.12663}},
  year         = {{2020}},
}

@inproceedings{17087,
  author       = {{Berendes, Carsten Ingo and zur Heiden, Philipp and Niemann, Marco and Hoffmeister, Benedikt and Becker, Jörg}},
  booktitle    = {{Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020)}},
  location     = {{Virtual Conference}},
  title        = {{{Usage of Local Online Platforms in Retail: Insights from retailers' expectations expectations}}},
  year         = {{2020}},
}

@inproceedings{17140,
  author       = {{Thiess, Tiemo and Müller, Oliver and Tonelli, Lorenzo}},
  booktitle    = {{International Conference on Wirtschaftsinformatik}},
  title        = {{{Design Principles for Explainable Sales Win-Propensity Prediction Systems}}},
  doi          = {{https://doi.org/10.30844/wi_2020_c8-thiess}},
  year         = {{2020}},
}

@article{15306,
  author       = {{Pelster, Matthias}},
  issn         = {{0165-1765}},
  journal      = {{Economics Letters}},
  title        = {{{The gambler’s and hot-hand fallacies: Empirical evidence from trading data}}},
  doi          = {{10.1016/j.econlet.2019.108887}},
  volume       = {{187}},
  year         = {{2020}},
}

@article{15414,
  author       = {{Schryen, Guido}},
  journal      = {{Communications of the ACM}},
  number       = {{9}},
  pages        = {{35 -- 37}},
  title        = {{{Integrating Management Science into the HPC Research Ecosystem}}},
  volume       = {{63}},
  year         = {{2020}},
}

@inproceedings{15499,
  author       = {{Wolf, Verena and Lüttenberg, Hedda}},
  booktitle    = {{Proceedings of the 15th International Conference on Wirtschaftsinformatik}},
  title        = {{{Capabilities for Ambidextrous Innovation of Digital Service}}},
  year         = {{2020}},
}

@inproceedings{15501,
  author       = {{Wolf, Verena and Franke, Alena and Bartelheimer, Christian and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 15th International Conference on Wirtschaftsinformatik}},
  title        = {{{Establishing Smart Service Systems is a Challenge: A Case Study on Pitfalls and Implications}}},
  year         = {{2020}},
}

@article{15513,
  abstract     = {{This interview is part of the special issue (01/2020) on “High Performance Business Computing” to be published in the journal Business & Information Systems Engineering. The interviewee Utz-Uwe Haus is Senior Research Engineer @ CRAY European Research Lab (CERL)). A bio of him is included at the end of the interview.}},
  author       = {{Schryen, Guido and Kliewer, Natalia and Fink, Andreas}},
  journal      = {{Business & Information Systems Engineering}},
  number       = {{01/2020}},
  pages        = {{21 -- 23}},
  title        = {{{Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments: Opportunities and Challenges"}}},
  volume       = {{62}},
  year         = {{2020}},
}

@article{15633,
  author       = {{Krimphove, Dieter}},
  journal      = {{ArbR – Arbeitsrecht Aktuell}},
  pages        = {{1--4}},
  publisher    = {{C. H. Beck}},
  title        = {{{Arbeitsrechtliche Rechtsprechung des EuGH im Jahre 2019}}},
  volume       = {{1}},
  year         = {{2020}},
}

@article{15744,
  author       = {{Liêu, Minh Ly and Pelster, Matthias}},
  issn         = {{1062-9769}},
  journal      = {{The Quarterly Review of Economics and Finance}},
  pages        = {{175--185}},
  title        = {{{Framing and the disposition effect in a scopic regime}}},
  doi          = {{10.1016/j.qref.2020.01.008}},
  volume       = {{78}},
  year         = {{2020}},
}

@phdthesis{15824,
  author       = {{Heinzel, Joachim}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Essays on the Theory of Industrial Organization: Credence Goods, Vertical Relations and Product Bundling}}},
  year         = {{2020}},
}

@article{15022,
  author       = {{Schryen, Guido}},
  journal      = {{European Journal of Operational Research}},
  number       = {{1}},
  pages        = {{1 -- 18}},
  publisher    = {{Elsevier}},
  title        = {{{Parallel computational optimization in operations research: A new integrative framework, literature review and research directions}}},
  volume       = {{287}},
  year         = {{2020}},
}