@inproceedings{24581,
  author       = {{Seutter, Janina and Müller, Michelle and Müller, Stefanie Jutta Marianne and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS)}},
  location     = {{Maui, Hawaii, USA}},
  title        = {{{Moment or Movement – An Empirical Analysis of the Heterogeneous Impact of Media Attention on Charitable Crowdfunding Campaigns}}},
  year         = {{2022}},
}

@inproceedings{29146,
  author       = {{zur Heiden, Philipp and Priefer, Jennifer and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences}},
  editor       = {{Bui, Tung X.}},
  isbn         = {{978-0-9981331-5-7}},
  location     = {{Honolulu, HI}},
  title        = {{{Utilizing Geographic Information Systems for Condition-Based Maintenance on the Energy Distribution Grid}}},
  year         = {{2022}},
}

@inproceedings{29147,
  author       = {{Herwix, Alexander and zur Heiden, Philipp}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences}},
  editor       = {{Bui, Tung X.}},
  isbn         = {{978-0-9981331-5-7}},
  location     = {{Honolulu, HI}},
  title        = {{{Context in Design Science Research: Taxonomy and Framework}}},
  year         = {{2022}},
}

@inproceedings{29148,
  author       = {{zur Heiden, Philipp and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences}},
  editor       = {{Bui, Tung X.}},
  isbn         = {{978-0-9981331-5-7}},
  location     = {{Honolulu, HI}},
  title        = {{{A Renaissance of Context in Design Science Research}}},
  year         = {{2022}},
}

@inproceedings{27280,
  author       = {{Schoormann, T. and Möller, F. and Szopinski, Daniel}},
  booktitle    = {{Tagungsband der 17. Internationalen Tagung Wirtschaftsinformatik 2022}},
  location     = {{Nürnberg, Germany}},
  title        = {{{Exploring purposes of using taxonomies}}},
  year         = {{2022}},
}

@inproceedings{27506,
  abstract     = {{Explainability for machine learning gets more and more important in high-stakes decisions like real estate appraisal. While traditional hedonic house pricing models are fed with hard information based on housing attributes, recently also soft information has been incorporated to increase the predictive performance. This soft information can be extracted from image data by complex models like Convolutional Neural Networks (CNNs). However, these are intransparent which excludes their use for high-stakes financial decisions. To overcome this limitation, we examine if a two-stage modeling approach can provide explainability. We combine visual interpretability by Regression Activation Maps (RAM) for the CNN and a linear regression for the overall prediction. Our experiments are based on 62.000 family homes in Philadelphia and the results indicate that the CNN learns aspects related to vegetation and quality aspects of the house from exterior images, improving the predictive accuracy of real estate appraisal by up to 5.4%.}},
  author       = {{Kucklick, Jan-Peter}},
  booktitle    = {{55th Annual Hawaii International Conference on System Sciences (HICSS-55)}},
  keywords     = {{Explainable Artificial Intelligence (XAI), Regression Activation Maps, Real Estate Appraisal, Convolutional Block Attention Module, Computer Vision}},
  location     = {{Virtual}},
  title        = {{{Visual Interpretability of Image-based Real Estate Appraisal}}},
  year         = {{2022}},
}

@inproceedings{27507,
  abstract     = {{Accurate real estate appraisal is essential in decision making processes of financial institutions, governments, and trending real estate platforms like Zillow. One of the most important factors of a property’s value is its location. However, creating accurate quantifications of location remains a challenge. While traditional approaches rely on Geographical Information Systems (GIS), recently unstructured data in form of images was incorporated in the appraisal process, but text data remains an untapped reservoir. Our study shows that using text data in form of geolocated Wikipedia articles can increase predictive performance over traditional GIS-based methods by 8.2% in spatial out-of-sample validation. A framework to automatically extract geographically weighted vector representations for text is established and used alongside traditional structural housing features to make predictions and to uncover local patterns on sale price for real estate transactions between 2015 and 2020 in Allegheny County, Pennsylvania.}},
  author       = {{Heuwinkel, Tim and Kucklick, Jan-Peter and Müller, Oliver}},
  booktitle    = {{55th Annual Hawaii International Conference on System Sciences (HICSS-55)}},
  keywords     = {{Real Estate Appraisal, Text Regression, Natural Language Processing (NLP), Location Intelligence, Wikipedia}},
  location     = {{Virtual}},
  title        = {{{Using Geolocated Text to Quantify Location in Real Estate Appraisal}}},
  year         = {{2022}},
}

@phdthesis{30201,
  author       = {{Fanasch, Patrizia}},
  title        = {{{Governance and Reputation in the Market for Experience Goods}}},
  doi          = {{10.17619/UNIPB/1-1292 }},
  year         = {{2022}},
}

@article{30341,
  author       = {{Hoyer, Britta and van Straaten, Dirk}},
  issn         = {{2214-8043}},
  journal      = {{Journal of Behavioral and Experimental Economics}},
  keywords     = {{General Social Sciences, Economics and Econometrics, Applied Psychology}},
  pages        = {{101869}},
  publisher    = {{Elsevier BV}},
  title        = {{{Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis}}},
  doi          = {{10.1016/j.socec.2022.101869}},
  volume       = {{98}},
  year         = {{2022}},
}

@misc{30737,
  author       = {{Schulz, Michael and Neuhaus, Uwe and Kaufmann, Jens and Kühnel, Stephan and Alekozai, Emal M. and Rohde, Heiko and Hoseini, Sayed and Theuerkauf, René and Badura, Daniel and Kerzel, Ulrich and Lanquillon, Carsten and Daurer, Stephan and Günther, Maik and Huber, Lukas and Thiée, Lukas-Walter and zur Heiden, Philipp and Passlick, Jens and Dieckmann, Jonas and Schwade, Florian and Seyffarth, Tobias and Badewitz, Wolfgang and Rissler, Raphael and Sackmann, Stefan and Gölzer, Philipp and Welter, Felix and Röth, Jochen and Seidelmann, Julian and Haneke, Uwe}},
  publisher    = {{NORDAKADEMIE gAG Hochschule der Wirtschaft}},
  title        = {{{DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte}}},
  year         = {{2022}},
}

@article{32266,
  author       = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}},
  issn         = {{1044-7318}},
  journal      = {{International Journal of Human–Computer Interaction}},
  keywords     = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}},
  pages        = {{1--17}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}},
  doi          = {{10.1080/10447318.2022.2081283}},
  year         = {{2022}},
}

@article{32267,
  author       = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}},
  issn         = {{1044-7318}},
  journal      = {{International Journal of Human–Computer Interaction}},
  keywords     = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}},
  pages        = {{1--17}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}},
  doi          = {{10.1080/10447318.2022.2081283}},
  year         = {{2022}},
}

@inbook{32272,
  author       = {{Akkerman, Agnes and Manevska, Katerina and Thommes, Kirsten and Sluiter, Roderick}},
  booktitle    = {{Employment Relations as Networks}},
  isbn         = {{9781003125730}},
  publisher    = {{Routledge}},
  title        = {{{Losing What You Never Had}}},
  doi          = {{10.4324/9781003125730-10}},
  year         = {{2022}},
}

@article{17869,
  author       = {{Poniatowski, Martin and Lüttenberg, Hedda and Beverungen, Daniel and Kundisch, Dennis}},
  journal      = {{Information Systems and e-Business Management, Special Issue on Platform Business Models and Platform Strategies}},
  pages        = {{257 -- 283}},
  title        = {{{Three Layers of Abstraction—A Conceptual Framework for Theorizing digital Multi-Sided Platforms}}},
  volume       = {{2}},
  year         = {{2022}},
}

@inbook{32363,
  author       = {{zur Heiden, Philipp and Priefer, Jennifer and Beverungen, Daniel}},
  booktitle    = {{Forum Dienstleistungsmanagement}},
  editor       = {{Bruhn, Manfred and Hadwich, Karsten}},
  isbn         = {{9783658373436}},
  issn         = {{2662-3382}},
  pages        = {{435--457}},
  publisher    = {{Springer Fachmedien Wiesbaden}},
  title        = {{{Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes}}},
  doi          = {{10.1007/978-3-658-37344-3_14}},
  year         = {{2022}},
}

@article{34044,
  author       = {{Hoffmann, Christin and Thommes, Kirsten}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}},
  publisher    = {{Elsevier BV}},
  title        = {{{Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic}}},
  doi          = {{10.1016/j.jclepro.2022.135053}},
  year         = {{2022}},
}

@article{34045,
  author       = {{Hoffmann, Christin and Thommes, Kirsten}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}},
  publisher    = {{Elsevier BV}},
  title        = {{{Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic}}},
  doi          = {{10.1016/j.jclepro.2022.135053}},
  year         = {{2022}},
}

@article{33251,
  author       = {{Robra-Bissantz, Susanne and Lattemann, Christoph and Laue, Ralf and Leonhard-Pfleger, Raphaela and Wagner, Luisa and Gerundt, Oliver and Schlimbach, Ricarda and Baumann, Sabine and Vorbohle, Christian and Gottschalk, Sebastian and Kundisch, Dennis and Engels, Gregor and Wünderlich, Nancy and Nissen, Volker and Lohrenz, Lisa and Michalke, Simon}},
  journal      = {{HMD Praxis der Wirtschaftsinformatik}},
  number       = {{5}},
  pages        = {{1227 -- 1257}},
  title        = {{{Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme}}},
  volume       = {{59}},
  year         = {{2022}},
}

@inproceedings{33502,
  author       = {{Althaus, Maike and Poniatowski, Martin and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 43rd International Conference on Information Systems (ICIS)}},
  location     = {{Copenhagen, Denmark}},
  title        = {{{Tackling Crises Together? – An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic}}},
  year         = {{2022}},
}

@inproceedings{33882,
  author       = {{Laux, Florian and Poniatowski, Martin and Kundisch, Dennis}},
  location     = {{Copenhagen, Denmark}},
  title        = {{{May I have your attention, please? Analyzing the effects of attention screening mechanisms on crowdworking platforms}}},
  year         = {{2022}},
}