@article{49457, author = {{Krämer, T. and Weiger, W. and Trang, Simon Thanh-Nam and Trenz, M.}}, journal = {{Journal of Product Innovation Management (VHB Jourqual 3 A)}}, pages = {{154--174}}, title = {{{Deflected by the Tin Foil Hat? Word-of-Mouth, Conspiracy Beliefs, and the Adoption of Public Health Apps}}}, volume = {{40}}, year = {{2023}}, } @inproceedings{50459, abstract = {{Organizations employ process mining to discover, check, or enhance process models based on data from information systems to improve business processes. Even though process mining is increasingly relevant in academia and organizations, achieving process mining excellence and generating business value through its application is elusive. Maturity models can help to manage interdisciplinary teams in their efforts to plan, implement, and manage process mining in organizations. However, while numerous maturity models on business process management (BPM) are available, recent calls for process mining maturity models indicate a gap in the current knowledge base. We systematically design and develop a comprehensive process mining maturity model that consists of five factors comprising 23 elements, which organizations need to develop to apply process mining sustainably and successfully. We contribute to the knowledge base by the exaptation of existing BPM maturity models, and validate our model through its application to a real-world scenario.}}, author = {{Brock, Jonathan and Löhr, Bernd and Brennig, Katharina and Seger, Thilo and Bartelheimer, Christian and von Enzberg, Sebastian and Kühn, Arno and Dumitrescu, Roman}}, booktitle = {{European Conference on Information Systems (ECIS)}}, title = {{{A Process Mining Maturity Model: Enabling Organizations to Assess and Improve their Process Mining Activities}}}, year = {{2023}}, } @article{47431, author = {{Burmeister, Sascha Christian and Guericke, Daniela and Schryen, Guido}}, journal = {{Flexible Services and Manufacturing Journal}}, pages = {{1530 -- 1570}}, publisher = {{Springer}}, title = {{{A Memetic NSGA-II for the Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy Tariffs}}}, doi = {{10.1007/s10696-023-09517-7}}, volume = {{36}}, year = {{2023}}, } @inproceedings{33722, author = {{Müller, Michelle and Neumann, Jürgen}}, booktitle = {{Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS)}}, location = {{Maui, Hawaii, USA}}, title = {{{Bring me my Meal on your Wheel - An Empirical Analysis of the Impact of Food Delivery Platforms on Local Restaurant Employment}}}, year = {{2023}}, } @inproceedings{46646, author = {{Althaus, Maike and Grieger, Nicole and Vorbohle, Christian and Müller, Michelle and Kundisch, Dennis}}, booktitle = {{Proceedings of the 15th Mediterranean Conference on Information Systems (MCIS)}}, location = {{Madrid, Spanien}}, title = {{{Business Models for Cultural Event Platforms - A Taxonomy Approach}}}, year = {{2023}}, } @article{45112, author = {{Beverungen, Daniel and Kundisch, Dennis and Mirbabaie, Milad and Müller, Oliver and Schryen, Guido and Trang, Simon Thanh-Nam and Trier, Matthias}}, journal = {{Business & Information Systems Engineering}}, number = {{4}}, pages = {{463 -- 474}}, title = {{{Digital Responsibility – a Multilevel Framework for Responsible Digitalization}}}, doi = {{10.1007/s12599-023-00822-x}}, volume = {{65}}, year = {{2023}}, } @inproceedings{24579, author = {{Müller, Michelle and Neumann, Jürgen and Kundisch, Dennis}}, booktitle = {{Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS)}}, location = {{Maui, Hawaii, USA}}, title = {{{Dear Guests, please pay for my license – Analyzing the heterogenous cost-pass-through of commercial and non-commercial rental suppliers in response to regulatory policies}}}, year = {{2022}}, } @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}}, } @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{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{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}}, }