[{"publication":"55th Annual Hawaii International Conference on System Sciences (HICSS-55)","type":"conference","status":"public","abstract":[{"text":"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.","lang":"eng"}],"department":[{"_id":"195"}],"user_id":"77066","_id":"27507","language":[{"iso":"eng"}],"keyword":["Real Estate Appraisal","Text Regression","Natural Language Processing (NLP)","Location Intelligence","Wikipedia"],"citation":{"bibtex":"@inproceedings{Heuwinkel_Kucklick_Müller_2022, title={Using Geolocated Text to Quantify Location in Real Estate Appraisal}, booktitle={55th Annual Hawaii International Conference on System Sciences (HICSS-55)}, author={Heuwinkel, Tim and Kucklick, Jan-Peter and Müller, Oliver}, year={2022} }","mla":"Heuwinkel, Tim, et al. “Using Geolocated Text to Quantify Location in Real Estate Appraisal.” <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>, 2022.","short":"T. Heuwinkel, J.-P. Kucklick, O. Müller, in: 55th Annual Hawaii International Conference on System Sciences (HICSS-55), 2022.","apa":"Heuwinkel, T., Kucklick, J.-P., &#38; Müller, O. (2022). Using Geolocated Text to Quantify Location in Real Estate Appraisal. <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>. Hawaii International Conference on System Science (HICSS), Virtual.","ieee":"T. Heuwinkel, J.-P. Kucklick, and O. Müller, “Using Geolocated Text to Quantify Location in Real Estate Appraisal,” presented at the Hawaii International Conference on System Science (HICSS), Virtual, 2022.","chicago":"Heuwinkel, Tim, Jan-Peter Kucklick, and Oliver Müller. “Using Geolocated Text to Quantify Location in Real Estate Appraisal.” In <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>, 2022.","ama":"Heuwinkel T, Kucklick J-P, Müller O. Using Geolocated Text to Quantify Location in Real Estate Appraisal. In: <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>. ; 2022."},"year":"2022","author":[{"last_name":"Heuwinkel","full_name":"Heuwinkel, Tim","first_name":"Tim"},{"last_name":"Kucklick","full_name":"Kucklick, Jan-Peter","id":"77066","first_name":"Jan-Peter"},{"last_name":"Müller","full_name":"Müller, Oliver","id":"72849","first_name":"Oliver"}],"date_created":"2021-11-17T07:12:03Z","date_updated":"2022-01-06T06:57:40Z","oa":"1","conference":{"name":"Hawaii International Conference on System Science (HICSS)","start_date":"2022-01-03","end_date":"2022-01-07","location":"Virtual"},"main_file_link":[{"url":"https://scholarspace.manoa.hawaii.edu/bitstream/10125/80039/0561.pdf","open_access":"1"}],"title":"Using Geolocated Text to Quantify Location in Real Estate Appraisal"},{"type":"journal_article","publication":"ACM Transactions on Management Information Systems","abstract":[{"text":"Deep learning models fuel many modern decision support systems, because they typically provide high predictive performance. Among other domains, deep learning is used in real-estate appraisal, where it allows to extend the analysis from hard facts only (e.g., size, age) to also consider more implicit information about the location or appearance of houses in the form of image data. However, one downside of deep learning models is their intransparent mechanic of decision making, which leads to a trade-off between accuracy and interpretability. This limits their applicability for tasks where a justification of the decision is necessary. Therefore, in this paper, we first combine different perspectives on interpretability into a multi-dimensional framework for a socio-technical perspective on explainable artificial intelligence. Second, we measure the performance gains of using multi-view deep learning which leverages additional image data (satellite images) for real estate appraisal. Third, we propose and test a novel post-hoc explainability method called Grad-Ram. This modified version of Grad-Cam mitigates the intransparency of convolutional neural networks (CNNs) for predicting continuous outcome variables. With this, we try to reduce the accuracy-interpretability trade-off of multi-view deep learning models. Our proposed network architecture outperforms traditional hedonic regression models by 34% in terms of MAE. Furthermore, we find that the used satellite images are the second most important predictor after square feet in our model and that the network learns interpretable patterns about the neighborhood structure and density.","lang":"eng"}],"status":"public","_id":"35620","user_id":"77066","department":[{"_id":"195"},{"_id":"196"}],"article_type":"original","keyword":["Interpretability","Convolutional Neural Network","Accuracy-Interpretability Trade-Of","Real Estate Appraisal","Hedonic Pricing","Grad-Ram"],"language":[{"iso":"eng"}],"publication_status":"published","publication_identifier":{"issn":["2158-656X","2158-6578"]},"year":"2022","citation":{"bibtex":"@article{Kucklick_Müller_2022, title={Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal}, DOI={<a href=\"https://doi.org/10.1145/3567430\">10.1145/3567430</a>}, journal={ACM Transactions on Management Information Systems}, publisher={Association for Computing Machinery (ACM)}, author={Kucklick, Jan-Peter and Müller, Oliver}, year={2022} }","mla":"Kucklick, Jan-Peter, and Oliver Müller. “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-Based Real Estate Appraisal.” <i>ACM Transactions on Management Information Systems</i>, Association for Computing Machinery (ACM), 2022, doi:<a href=\"https://doi.org/10.1145/3567430\">10.1145/3567430</a>.","short":"J.-P. Kucklick, O. Müller, ACM Transactions on Management Information Systems (2022).","apa":"Kucklick, J.-P., &#38; Müller, O. (2022). Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal. <i>ACM Transactions on Management Information Systems</i>. <a href=\"https://doi.org/10.1145/3567430\">https://doi.org/10.1145/3567430</a>","ama":"Kucklick J-P, Müller O. Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal. <i>ACM Transactions on Management Information Systems</i>. Published online 2022. doi:<a href=\"https://doi.org/10.1145/3567430\">10.1145/3567430</a>","ieee":"J.-P. Kucklick and O. Müller, “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal,” <i>ACM Transactions on Management Information Systems</i>, 2022, doi: <a href=\"https://doi.org/10.1145/3567430\">10.1145/3567430</a>.","chicago":"Kucklick, Jan-Peter, and Oliver Müller. “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-Based Real Estate Appraisal.” <i>ACM Transactions on Management Information Systems</i>, 2022. <a href=\"https://doi.org/10.1145/3567430\">https://doi.org/10.1145/3567430</a>."},"publisher":"Association for Computing Machinery (ACM)","date_updated":"2023-01-10T05:20:18Z","date_created":"2023-01-10T05:16:02Z","author":[{"id":"77066","full_name":"Kucklick, Jan-Peter","last_name":"Kucklick","first_name":"Jan-Peter"},{"first_name":"Oliver","full_name":"Müller, Oliver","id":"72849","last_name":"Müller"}],"title":"Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal","main_file_link":[{"url":"https://dl.acm.org/doi/pdf/10.1145/3567430"}],"doi":"10.1145/3567430"},{"year":"2022","citation":{"ama":"Löhr B, Brennig K, Bartelheimer C, Beverungen D, Müller O. Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing. In: <i>International Conference on Business Process Management</i>. ; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-031-16103-2_18\">10.1007/978-3-031-16103-2_18</a>","ieee":"B. Löhr, K. Brennig, C. Bartelheimer, D. Beverungen, and O. Müller, “Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing,” 2022, doi: <a href=\"https://doi.org/10.1007/978-3-031-16103-2_18\">10.1007/978-3-031-16103-2_18</a>.","chicago":"Löhr, Bernd, Katharina Brennig, Christian Bartelheimer, Daniel Beverungen, and Oliver Müller. “Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing.” In <i>International Conference on Business Process Management</i>, 2022. <a href=\"https://doi.org/10.1007/978-3-031-16103-2_18\">https://doi.org/10.1007/978-3-031-16103-2_18</a>.","short":"B. Löhr, K. Brennig, C. Bartelheimer, D. Beverungen, O. Müller, in: International Conference on Business Process Management, 2022.","bibtex":"@inproceedings{Löhr_Brennig_Bartelheimer_Beverungen_Müller_2022, title={Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-16103-2_18\">10.1007/978-3-031-16103-2_18</a>}, booktitle={International Conference on Business Process Management}, author={Löhr, Bernd and Brennig, Katharina and Bartelheimer, Christian and Beverungen, Daniel and Müller, Oliver}, year={2022} }","mla":"Löhr, Bernd, et al. “Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing.” <i>International Conference on Business Process Management</i>, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-031-16103-2_18\">10.1007/978-3-031-16103-2_18</a>.","apa":"Löhr, B., Brennig, K., Bartelheimer, C., Beverungen, D., &#38; Müller, O. (2022). Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing. <i>International Conference on Business Process Management</i>. <a href=\"https://doi.org/10.1007/978-3-031-16103-2_18\">https://doi.org/10.1007/978-3-031-16103-2_18</a>"},"publication_identifier":{"isbn":["978-3-031-16103-2"]},"title":"Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing","doi":"10.1007/978-3-031-16103-2_18","date_updated":"2024-01-11T11:35:54Z","author":[{"first_name":"Bernd","last_name":"Löhr","id":"56760","full_name":"Löhr, Bernd"},{"first_name":"Katharina","full_name":"Brennig, Katharina","id":"51905","last_name":"Brennig"},{"last_name":"Bartelheimer","id":"49160","full_name":"Bartelheimer, Christian","first_name":"Christian"},{"first_name":"Daniel","last_name":"Beverungen","id":"59677","full_name":"Beverungen, Daniel"},{"first_name":"Oliver","last_name":"Müller","full_name":"Müller, Oliver","id":"72849"}],"date_created":"2023-01-16T11:04:54Z","abstract":[{"lang":"eng","text":"Existing process mining methods are primarily designed for processes that have reached a high degree of digitalization and standardization. In contrast, the literature has only begun to discuss how process mining can be applied to knowledge-intensive processes—such as product innovation processes—that involve creative activities, require organizational flexibility, depend on single actors’ decision autonomy, and target process-external goals such as customer satisfaction. Due to these differences, existing Process Mining methods cannot be applied out-of-the-box to analyze knowledge-intensive processes. In this paper, we employ Action Design Research (ADR) to design and evaluate a process mining approach for knowledge-intensive processes. More specifically, we draw on the two processes of product innovation and engineer-to-order in manufacturing contexts. We collected data from 27 interviews and conducted 49 workshops to evaluate our IT artifact at different stages in the ADR process. From a theoretical perspective, we contribute five design principles and a conceptual artifact that prescribe how process mining ought to be designed for knowledge-intensive processes in manufacturing. From a managerial perspective, we demonstrate how enacting these principles enables their application in practice."}],"status":"public","type":"conference","publication":"International Conference on Business Process Management","language":[{"iso":"eng"}],"_id":"36912","user_id":"51905","department":[{"_id":"196"}]},{"author":[{"last_name":"Caron","id":"60721","full_name":"Caron, Matthew","first_name":"Matthew"},{"first_name":"Frederik S.","last_name":"Bäumer","full_name":"Bäumer, Frederik S."},{"first_name":"Oliver","id":"72849","full_name":"Müller, Oliver","last_name":"Müller"}],"date_created":"2021-09-29T10:06:24Z","date_updated":"2024-01-15T12:37:10Z","main_file_link":[{"url":"http://hdl.handle.net/10125/79428"}],"conference":{"end_date":"2022-01-07","location":"Online","name":"55th Hawaii International Conference on System Sciences (HICSS)","start_date":"2022-01-03"},"title":"Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models","publication_status":"published","citation":{"bibtex":"@inproceedings{Caron_Bäumer_Müller_2022, title={Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models}, booktitle={55th Hawaii International Conference on System Sciences (HICSS)}, author={Caron, Matthew and Bäumer, Frederik S. and Müller, Oliver}, year={2022} }","mla":"Caron, Matthew, et al. “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models.” <i>55th Hawaii International Conference on System Sciences (HICSS)</i>, 2022.","short":"M. Caron, F.S. Bäumer, O. Müller, in: 55th Hawaii International Conference on System Sciences (HICSS), 2022.","apa":"Caron, M., Bäumer, F. S., &#38; Müller, O. (2022). Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. <i>55th Hawaii International Conference on System Sciences (HICSS)</i>. 55th Hawaii International Conference on System Sciences (HICSS), Online.","chicago":"Caron, Matthew, Frederik S. Bäumer, and Oliver Müller. “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models.” In <i>55th Hawaii International Conference on System Sciences (HICSS)</i>, 2022.","ieee":"M. Caron, F. S. Bäumer, and O. Müller, “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models,” presented at the 55th Hawaii International Conference on System Sciences (HICSS), Online, 2022.","ama":"Caron M, Bäumer FS, Müller O. Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. In: <i>55th Hawaii International Conference on System Sciences (HICSS)</i>. ; 2022."},"year":"2022","user_id":"60721","department":[{"_id":"196"}],"_id":"25113","language":[{"iso":"eng"}],"type":"conference","publication":"55th Hawaii International Conference on System Sciences (HICSS)","status":"public","abstract":[{"lang":"eng","text":"Our world is more connected than ever before. Sadly, however, this highly connected world has made it easier to bully, insult, and propagate hate speech on the cyberspace. Even though researchers and companies alike have started investigating this real-world problem, the question remains as to why users are increasingly being exposed to hate and discrimination online. In fact, the noticeable and persistent increase in harmful language on social media platforms indicates that the situation is, actually, only getting worse. Hence, in this work, we show that contemporary ML methods can help tackle this challenge in an accurate and cost-effective manner. Our experiments demonstrate that a universal approach combining transfer learning methods and state-of-the-art Transformer architectures can trigger the efficient development of toxic language detection models. Consequently, with this universal approach, we provide platform providers with a simplistic approach capable of enabling the automated moderation of user-generated content, and as a result, hope to contribute to making the web a safer place."}]},{"status":"public","abstract":[{"text":"Now accounting for more than 80% of a firm's worth, brands have become essential assets for modern organizations. However, methods and techniques for the monetary valuation of brands are still under-researched. Hence, the objective of this study is to evaluate the utility of explanatory statistical models and machine learning approaches for explaining and predicting brand value. Drawing upon the case of the most valuable English football brands during the 2016/17 to 2020/21 seasons, we demonstrate how to operationalize Aaker's (1991) theoretical brand equity framework to collect meaningful qualitative and quantitative feature sets. Our explanatory models can explain up to 77% of the variation in brand valuations across all clubs and seasons, while our predictive approach can predict out-of-sample observations with a mean absolute percentage error (MAPE) of 14%. Future research can build upon our results to develop domain-specific brand valuation methods while enabling managers to make better-informed investment decisions.","lang":"eng"}],"type":"conference","publication":"Proceeding of the 28th Americas Conference on Information Systems (AMCIS)","language":[{"iso":"eng"}],"user_id":"60721","department":[{"_id":"195"}],"_id":"41486","citation":{"ama":"Caron M, Bartelheimer C, Müller O. Towards a Reliable &#38; Transparent Approach to Data-Driven Brand Valuation. In: <i>Proceeding of the 28th Americas Conference on Information Systems (AMCIS)</i>. ; 2022.","chicago":"Caron, Matthew, Christian Bartelheimer, and Oliver Müller. “Towards a Reliable &#38; Transparent Approach to Data-Driven Brand Valuation.” In <i>Proceeding of the 28th Americas Conference on Information Systems (AMCIS)</i>. Minneapolis, USA, 2022.","ieee":"M. Caron, C. Bartelheimer, and O. Müller, “Towards a Reliable &#38; Transparent Approach to Data-Driven Brand Valuation,” presented at the 28th Americas Conference on Information Systems (AMCIS), Minneapolis, USA, 2022.","bibtex":"@inproceedings{Caron_Bartelheimer_Müller_2022, place={Minneapolis, USA}, title={Towards a Reliable &#38; Transparent Approach to Data-Driven Brand Valuation}, booktitle={Proceeding of the 28th Americas Conference on Information Systems (AMCIS)}, author={Caron, Matthew and Bartelheimer, Christian and Müller, Oliver}, year={2022} }","short":"M. Caron, C. Bartelheimer, O. Müller, in: Proceeding of the 28th Americas Conference on Information Systems (AMCIS), Minneapolis, USA, 2022.","mla":"Caron, Matthew, et al. “Towards a Reliable &#38; Transparent Approach to Data-Driven Brand Valuation.” <i>Proceeding of the 28th Americas Conference on Information Systems (AMCIS)</i>, 2022.","apa":"Caron, M., Bartelheimer, C., &#38; Müller, O. (2022). Towards a Reliable &#38; Transparent Approach to Data-Driven Brand Valuation. <i>Proceeding of the 28th Americas Conference on Information Systems (AMCIS)</i>. 28th Americas Conference on Information Systems (AMCIS), Minneapolis, USA."},"place":"Minneapolis, USA","year":"2022","publication_status":"published","main_file_link":[{"url":"https://aisel.aisnet.org/amcis2022/conf_theme/conf_theme/10/"}],"conference":{"location":"Minneapolis, USA","end_date":"2022-08-14","start_date":"2022-08-10","name":"28th Americas Conference on Information Systems (AMCIS)"},"title":"Towards a Reliable & Transparent Approach to Data-Driven Brand Valuation","author":[{"full_name":"Caron, Matthew","id":"60721","last_name":"Caron","first_name":"Matthew"},{"id":"49160","full_name":"Bartelheimer, Christian","last_name":"Bartelheimer","first_name":"Christian"},{"first_name":"Oliver","last_name":"Müller","full_name":"Müller, Oliver","id":"72849"}],"date_created":"2023-02-02T13:34:49Z","date_updated":"2023-02-28T08:59:38Z"},{"year":"2021","citation":{"apa":"Kucklick, J.-P., &#38; Müller, O. (2021). A Comparison of Multi-View Learning Strategies for Satellite Image-based Real Estate Appraisal. In <i> The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services</i>.","bibtex":"@inproceedings{Kucklick_Müller_2021, title={A Comparison of Multi-View Learning Strategies for Satellite Image-based Real Estate Appraisal}, booktitle={ The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services}, author={Kucklick, Jan-Peter and Müller, Oliver}, year={2021} }","short":"J.-P. Kucklick, O. Müller, in:  The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services, 2021.","mla":"Kucklick, Jan-Peter, and Oliver Müller. “A Comparison of Multi-View Learning Strategies for Satellite Image-Based Real Estate Appraisal.” <i> The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services</i>, 2021.","ieee":"J.-P. Kucklick and O. Müller, “A Comparison of Multi-View Learning Strategies for Satellite Image-based Real Estate Appraisal,” in <i> The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services</i>, 2021.","chicago":"Kucklick, Jan-Peter, and Oliver Müller. “A Comparison of Multi-View Learning Strategies for Satellite Image-Based Real Estate Appraisal.” In <i> The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services</i>, 2021.","ama":"Kucklick J-P, Müller O. A Comparison of Multi-View Learning Strategies for Satellite Image-based Real Estate Appraisal. In: <i> The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services</i>. ; 2021."},"title":"A Comparison of Multi-View Learning Strategies for Satellite Image-based Real Estate Appraisal","conference":{"name":"The Thirty-Fifth AAAI Conference on Artificial Intelligence"},"main_file_link":[{"open_access":"1","url":"https://aaai-kdf.github.io/kdf2021/assets/pdfs/KDF_21_paper_12.pdf"}],"date_updated":"2022-01-06T06:54:49Z","oa":"1","author":[{"last_name":"Kucklick","id":"77066","full_name":"Kucklick, Jan-Peter","first_name":"Jan-Peter"},{"full_name":"Müller, Oliver","id":"72849","last_name":"Müller","first_name":"Oliver"}],"date_created":"2021-02-10T10:05:32Z","status":"public","publication":" The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services","type":"conference","language":[{"iso":"eng"}],"_id":"21204","department":[{"_id":"196"}],"user_id":"71922"},{"conference":{"location":"Virtual","end_date":"2021-06-16","start_date":"2021-06-14","name":"ECIS 2021 - 29th European Conference on Information System"},"main_file_link":[{"url":"https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1022&context=ecis2021_rip","open_access":"1"}],"title":"Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach","author":[{"first_name":"Jan-Peter","id":"77066","full_name":"Kucklick, Jan-Peter","last_name":"Kucklick"},{"first_name":"Jennifer","full_name":"Müller, Jennifer","id":"82872","last_name":"Müller"},{"id":"59677","full_name":"Beverungen, Daniel","last_name":"Beverungen","first_name":"Daniel"},{"full_name":"Müller, Oliver","id":"72849","last_name":"Müller","first_name":"Oliver"}],"date_created":"2021-06-28T11:30:02Z","oa":"1","date_updated":"2022-01-06T06:55:35Z","citation":{"chicago":"Kucklick, Jan-Peter, Jennifer Müller, Daniel Beverungen, and Oliver Müller. “Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-Based Deep Learning Approach.” In <i>European Conference on Information Systems</i>, 2021.","ieee":"J.-P. Kucklick, J. Müller, D. Beverungen, and O. Müller, “Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach,” in <i>European Conference on Information Systems</i>, Virtual, 2021.","ama":"Kucklick J-P, Müller J, Beverungen D, Müller O. Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach. In: <i>European Conference on Information Systems</i>. ; 2021.","apa":"Kucklick, J.-P., Müller, J., Beverungen, D., &#38; Müller, O. (2021). Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach. In <i>European Conference on Information Systems</i>. Virtual.","mla":"Kucklick, Jan-Peter, et al. “Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-Based Deep Learning Approach.” <i>European Conference on Information Systems</i>, 2021.","bibtex":"@inproceedings{Kucklick_Müller_Beverungen_Müller_2021, title={Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach}, booktitle={European Conference on Information Systems}, author={Kucklick, Jan-Peter and Müller, Jennifer and Beverungen, Daniel and Müller, Oliver}, year={2021} }","short":"J.-P. Kucklick, J. Müller, D. Beverungen, O. Müller, in: European Conference on Information Systems, 2021."},"year":"2021","language":[{"iso":"eng"}],"department":[{"_id":"196"},{"_id":"526"}],"user_id":"71922","_id":"22514","status":"public","publication":"European Conference on Information Systems","type":"conference"},{"user_id":"51271","department":[{"_id":"196"}],"_id":"26812","language":[{"iso":"eng"}],"type":"conference","publication":"IEEE Workshop on TRust and EXpertise in Visual Analytics","status":"public","author":[{"first_name":"Dirk","id":"51271","full_name":"Leffrang, Dirk","orcid":"0000-0001-9004-2391","last_name":"Leffrang"},{"first_name":"Oliver","full_name":"Müller, Oliver","id":"72849","last_name":"Müller"}],"date_created":"2021-10-25T11:11:39Z","date_updated":"2024-01-10T09:55:48Z","oa":"1","main_file_link":[{"url":"https://trexvis.github.io/Workshop2021/papers/Leffrang.pdf","open_access":"1"}],"doi":"10.1109/TREX53765.2021.00009","conference":{"start_date":"2021-10-24","name":"2021 IEEE Visualization conference","end_date":"2021-10-19"},"title":"Should I Follow this Model? The Effect of Uncertainty Visualization on the Acceptance of Time Series Forecasts","citation":{"ieee":"D. Leffrang and O. Müller, “Should I Follow this Model? The Effect of Uncertainty Visualization on the Acceptance of Time Series Forecasts,” presented at the 2021 IEEE Visualization conference, 2021, doi: <a href=\"https://doi.org/10.1109/TREX53765.2021.00009\">10.1109/TREX53765.2021.00009</a>.","chicago":"Leffrang, Dirk, and Oliver Müller. “Should I Follow This Model? The Effect of Uncertainty Visualization on the Acceptance of Time Series Forecasts.” In <i>IEEE Workshop on TRust and EXpertise in Visual Analytics</i>, 2021. <a href=\"https://doi.org/10.1109/TREX53765.2021.00009\">https://doi.org/10.1109/TREX53765.2021.00009</a>.","ama":"Leffrang D, Müller O. Should I Follow this Model? The Effect of Uncertainty Visualization on the Acceptance of Time Series Forecasts. In: <i>IEEE Workshop on TRust and EXpertise in Visual Analytics</i>. ; 2021. doi:<a href=\"https://doi.org/10.1109/TREX53765.2021.00009\">10.1109/TREX53765.2021.00009</a>","mla":"Leffrang, Dirk, and Oliver Müller. “Should I Follow This Model? The Effect of Uncertainty Visualization on the Acceptance of Time Series Forecasts.” <i>IEEE Workshop on TRust and EXpertise in Visual Analytics</i>, 2021, doi:<a href=\"https://doi.org/10.1109/TREX53765.2021.00009\">10.1109/TREX53765.2021.00009</a>.","short":"D. Leffrang, O. Müller, in: IEEE Workshop on TRust and EXpertise in Visual Analytics, 2021.","bibtex":"@inproceedings{Leffrang_Müller_2021, title={Should I Follow this Model? The Effect of Uncertainty Visualization on the Acceptance of Time Series Forecasts}, DOI={<a href=\"https://doi.org/10.1109/TREX53765.2021.00009\">10.1109/TREX53765.2021.00009</a>}, booktitle={IEEE Workshop on TRust and EXpertise in Visual Analytics}, author={Leffrang, Dirk and Müller, Oliver}, year={2021} }","apa":"Leffrang, D., &#38; Müller, O. (2021). Should I Follow this Model? The Effect of Uncertainty Visualization on the Acceptance of Time Series Forecasts. <i>IEEE Workshop on TRust and EXpertise in Visual Analytics</i>. 2021 IEEE Visualization conference. <a href=\"https://doi.org/10.1109/TREX53765.2021.00009\">https://doi.org/10.1109/TREX53765.2021.00009</a>"},"year":"2021"},{"language":[{"iso":"eng"}],"keyword":["expected possession value","handball","tracking data","time series classification","deep learning"],"department":[{"_id":"196"},{"_id":"172"}],"user_id":"60721","_id":"24547","status":"public","abstract":[{"text":"Over the last years, several approaches for the data-driven estimation of expected possession value (EPV) in basketball and association football (soccer) have been proposed. In this paper, we develop and evaluate PIVOT: the first such framework for team handball. Accounting for the fast-paced, dynamic nature and relative data scarcity of hand- ball, we propose a parsimonious end-to-end deep learning architecture that relies solely on tracking data. This efficient approach is capable of predicting the probability that a team will score within the near future given the fine-grained spatio-temporal distribution of all players and the ball over the last seconds of the game. Our experiments indicate that PIVOT is able to produce accurate and calibrated probability estimates, even when trained on a relatively small dataset. We also showcase two interactive applications of PIVOT for valuing actual and counterfactual player decisions and actions in real-time.","lang":"eng"}],"publication":"8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)","type":"conference","conference":{"end_date":"2021-09-17","location":"Online","name":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021)","start_date":"2021-09-13"},"main_file_link":[{"url":"https://dtai.cs.kuleuven.be/events/MLSA21/papers/MLSA21_paper_muller.pdf"}],"title":"PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data","author":[{"first_name":"Oliver","last_name":"Müller","id":"72849","full_name":"Müller, Oliver"},{"last_name":"Caron","id":"60721","full_name":"Caron, Matthew","first_name":"Matthew"},{"full_name":"Döring, Michael","last_name":"Döring","first_name":"Michael"},{"first_name":"Tim","last_name":"Heuwinkel","full_name":"Heuwinkel, Tim"},{"first_name":"Jochen","id":"46","full_name":"Baumeister, Jochen","last_name":"Baumeister","orcid":"0000-0003-2683-5826"}],"date_created":"2021-09-16T08:33:04Z","date_updated":"2023-02-28T08:58:24Z","citation":{"chicago":"Müller, Oliver, Matthew Caron, Michael Döring, Tim Heuwinkel, and Jochen Baumeister. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data.” In <i>8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)</i>, n.d.","ieee":"O. Müller, M. Caron, M. Döring, T. Heuwinkel, and J. Baumeister, “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data,” presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.","ama":"Müller O, Caron M, Döring M, Heuwinkel T, Baumeister J. PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data. In: <i>8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)</i>.","apa":"Müller, O., Caron, M., Döring, M., Heuwinkel, T., &#38; Baumeister, J. (n.d.). PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data. <i>8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)</i>. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.","short":"O. Müller, M. Caron, M. Döring, T. Heuwinkel, J. Baumeister, in: 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), n.d.","mla":"Müller, Oliver, et al. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data.” <i>8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)</i>.","bibtex":"@inproceedings{Müller_Caron_Döring_Heuwinkel_Baumeister, title={PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data}, booktitle={8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)}, author={Müller, Oliver and Caron, Matthew and Döring, Michael and Heuwinkel, Tim and Baumeister, Jochen} }"},"year":"2021","publication_status":"inpress"},{"publication_status":"published","year":"2021","citation":{"bibtex":"@inproceedings{Caron_Gulenko_Müller_2021, title={To the Moon! Analyzing the Community of “Degenerates” Engaged in the Surge of the GME Stock}, booktitle={42nd International Conference on Information Systems (ICIS 2021)}, author={Caron, Matthew and Gulenko, Maryna and Müller, Oliver}, year={2021} }","short":"M. Caron, M. Gulenko, O. Müller, in: 42nd International Conference on Information Systems (ICIS 2021), 2021.","mla":"Caron, Matthew, et al. “To the Moon! Analyzing the Community of ‘Degenerates’ Engaged in the Surge of the GME Stock.” <i>42nd International Conference on Information Systems (ICIS 2021)</i>, 2021.","apa":"Caron, M., Gulenko, M., &#38; Müller, O. (2021). To the Moon! Analyzing the Community of “Degenerates” Engaged in the Surge of the GME Stock. <i>42nd International Conference on Information Systems (ICIS 2021)</i>. 42nd International Conference on Information Systems (ICIS 2021), Austin, Texas.","ama":"Caron M, Gulenko M, Müller O. To the Moon! Analyzing the Community of “Degenerates” Engaged in the Surge of the GME Stock. In: <i>42nd International Conference on Information Systems (ICIS 2021)</i>. ; 2021.","ieee":"M. Caron, M. Gulenko, and O. Müller, “To the Moon! Analyzing the Community of ‘Degenerates’ Engaged in the Surge of the GME Stock,” presented at the 42nd International Conference on Information Systems (ICIS 2021), Austin, Texas, 2021.","chicago":"Caron, Matthew, Maryna Gulenko, and Oliver Müller. “To the Moon! Analyzing the Community of ‘Degenerates’ Engaged in the Surge of the GME Stock.” In <i>42nd International Conference on Information Systems (ICIS 2021)</i>, 2021."},"date_updated":"2023-02-28T08:58:16Z","author":[{"id":"60721","full_name":"Caron, Matthew","last_name":"Caron","first_name":"Matthew"},{"first_name":"Maryna","full_name":"Gulenko, Maryna","id":"64226","last_name":"Gulenko"},{"id":"72849","full_name":"Müller, Oliver","last_name":"Müller","first_name":"Oliver"}],"date_created":"2021-09-24T09:51:35Z","title":"To the Moon! Analyzing the Community of “Degenerates” Engaged in the Surge of the GME Stock","main_file_link":[{"url":"https://aisel.aisnet.org/icis2021/social_media/social_media/13/"}],"conference":{"name":"42nd International Conference on Information Systems (ICIS 2021)","start_date":"2021-12-12","end_date":"2021-12-15","location":"Austin, Texas"},"type":"conference","publication":"42nd International Conference on Information Systems (ICIS 2021)","abstract":[{"lang":"eng","text":"In early 2021, the finance world was taken by storm by the dramatic price surge of the GameStop Corp. stock. This rise is being, at least in part, attributed to a group of Redditors belonging to the now-famous r/wallstreetbets (WSB) subreddit group. In this work, we set out to address if user activity on the WSB subreddit is associated with the trading volume of the GME stock. Leveraging a unique dataset containing more than 4.9 million WSB posts and comments, we assert that user activity is associated with the trading volume of the GameStop stock. We further show that posts have a significantly higher predictive power than comments and are especially helpful for predicting unusually high trading volume. Lastly, as recent events have shown, we believe that these findings have implications for retail and institutional investors, trading platforms, and policymakers, as these can have disruptive potential."}],"status":"public","_id":"25029","user_id":"60721","department":[{"_id":"196"}],"keyword":["Retail investors","GameStop","Social Networks","Reddit","WallStreetBets"],"language":[{"iso":"eng"}]},{"citation":{"apa":"Kucklick, J.-P., &#38; Müller, O. (2020). Location, location, location: Satellite image-based real-estate  appraisal. In <i>Symposium on Statistical Challenges in Electronic Commerce Research (SCECR)</i>.","short":"J.-P. Kucklick, O. Müller, in: Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), 2020.","mla":"Kucklick, Jan-Peter, and Oliver Müller. “Location, Location, Location: Satellite Image-Based Real-Estate  Appraisal.” <i>Symposium on Statistical Challenges in Electronic Commerce Research (SCECR)</i>, 2020.","bibtex":"@inproceedings{Kucklick_Müller_2020, title={Location, location, location: Satellite image-based real-estate  appraisal}, booktitle={Symposium on Statistical Challenges in Electronic Commerce Research (SCECR)}, author={Kucklick, Jan-Peter and Müller, Oliver}, year={2020} }","chicago":"Kucklick, Jan-Peter, and Oliver Müller. “Location, Location, Location: Satellite Image-Based Real-Estate  Appraisal.” In <i>Symposium on Statistical Challenges in Electronic Commerce Research (SCECR)</i>, 2020.","ieee":"J.-P. Kucklick and O. Müller, “Location, location, location: Satellite image-based real-estate  appraisal,” in <i>Symposium on Statistical Challenges in Electronic Commerce Research (SCECR)</i>, 2020.","ama":"Kucklick J-P, Müller O. Location, location, location: Satellite image-based real-estate  appraisal. In: <i>Symposium on Statistical Challenges in Electronic Commerce Research (SCECR)</i>. ; 2020."},"year":"2020","conference":{"name":"Symposium on Statistical Challenges in Electronic Commerce Research (SCECR)"},"title":"Location, location, location: Satellite image-based real-estate  appraisal","date_created":"2020-06-27T12:41:10Z","author":[{"id":"77066","full_name":"Kucklick, Jan-Peter","last_name":"Kucklick","first_name":"Jan-Peter"},{"first_name":"Oliver","last_name":"Müller","id":"72849","full_name":"Müller, Oliver"}],"date_updated":"2022-01-06T06:53:08Z","status":"public","publication":"Symposium on Statistical Challenges in Electronic Commerce Research (SCECR)","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"196"}],"user_id":"71922","_id":"17348","external_id":{"arxiv":["2006.11406"]}},{"publication":"International Conference on Wirtschaftsinformatik","type":"conference","status":"public","department":[{"_id":"196"}],"user_id":"72849","_id":"17140","language":[{"iso":"eng"}],"citation":{"apa":"Thiess, T., Müller, O., &#38; Tonelli, L. (2020). Design Principles for Explainable Sales Win-Propensity Prediction Systems. In <i>International Conference on Wirtschaftsinformatik</i>. <a href=\"https://doi.org/10.30844/wi_2020_c8-thiess\">https://doi.org/10.30844/wi_2020_c8-thiess</a>","short":"T. Thiess, O. Müller, L. Tonelli, in: International Conference on Wirtschaftsinformatik, 2020.","bibtex":"@inproceedings{Thiess_Müller_Tonelli_2020, title={Design Principles for Explainable Sales Win-Propensity Prediction Systems}, DOI={<a href=\"https://doi.org/10.30844/wi_2020_c8-thiess\">https://doi.org/10.30844/wi_2020_c8-thiess</a>}, booktitle={International Conference on Wirtschaftsinformatik}, author={Thiess, Tiemo and Müller, Oliver and Tonelli, Lorenzo}, year={2020} }","mla":"Thiess, Tiemo, et al. “Design Principles for Explainable Sales Win-Propensity Prediction Systems.” <i>International Conference on Wirtschaftsinformatik</i>, 2020, doi:<a href=\"https://doi.org/10.30844/wi_2020_c8-thiess\">https://doi.org/10.30844/wi_2020_c8-thiess</a>.","chicago":"Thiess, Tiemo, Oliver Müller, and Lorenzo Tonelli. “Design Principles for Explainable Sales Win-Propensity Prediction Systems.” In <i>International Conference on Wirtschaftsinformatik</i>, 2020. <a href=\"https://doi.org/10.30844/wi_2020_c8-thiess\">https://doi.org/10.30844/wi_2020_c8-thiess</a>.","ieee":"T. Thiess, O. Müller, and L. Tonelli, “Design Principles for Explainable Sales Win-Propensity Prediction Systems,” in <i>International Conference on Wirtschaftsinformatik</i>, 2020.","ama":"Thiess T, Müller O, Tonelli L. Design Principles for Explainable Sales Win-Propensity Prediction Systems. In: <i>International Conference on Wirtschaftsinformatik</i>. ; 2020. doi:<a href=\"https://doi.org/10.30844/wi_2020_c8-thiess\">https://doi.org/10.30844/wi_2020_c8-thiess</a>"},"year":"2020","author":[{"first_name":"Tiemo","last_name":"Thiess","full_name":"Thiess, Tiemo"},{"first_name":"Oliver","last_name":"Müller","full_name":"Müller, Oliver","id":"72849"},{"full_name":"Tonelli, Lorenzo","last_name":"Tonelli","first_name":"Lorenzo"}],"date_created":"2020-06-23T09:55:49Z","date_updated":"2022-01-06T06:53:05Z","doi":"https://doi.org/10.30844/wi_2020_c8-thiess","title":"Design Principles for Explainable Sales Win-Propensity Prediction Systems"},{"abstract":[{"lang":"eng","text":"In order to sustain their competitive advantage, data driven organizations must continue investing in business intelligence and analytics (BI&A) while mitigating inherent cost increases. Research shows that examining outlays by individual BI&A artifact (e.g. reports, analytics) is necessary, but introduction in practice is cumbersome and adoption is slow. BI&A service-oriented cost allocation (BIASOCA) represents an improvement to this situation. This approach enables to render the BI&A cost pool accountable and improves cost transparency, which leads to a higher BI&A penetration of economically viable applications in organizations. Against this background, this paper aims at designing and implementing BIASOCA in a medium-sized company. To record organizational impact and increase customer acceptance, this study is carried out as action design research (ADR). Our findings indicate improvements in BI&A management from working with consumers to locate cost savings and drivers. After invoicing, consumers’ BI&A awareness increased, releasing resources while also making a better understanding of BIASOCA necessary. We detail how to implement BIASOCA in a real-life setting and the challenges attendant in so doing. Our research contributes to theory and practice with a set of design principles highlighting, besides the accuracy of cost accounting, the importance of collaboration, model comprehensibility and strategic alignment."}],"status":"public","type":"conference","publication":"European Conference on Information Systems","language":[{"iso":"eng"}],"_id":"17095","user_id":"72849","department":[{"_id":"196"}],"year":"2020","citation":{"ama":"Grytz R, Krohn-Grimberghe A, Müller O. Business Intelligence &#38; Analytics Cost Accounting: An Action Design Research Approach. In: <i>European Conference on Information Systems</i>. ; 2020.","chicago":"Grytz, Raphael, Artus Krohn-Grimberghe, and Oliver Müller. “Business Intelligence &#38; Analytics Cost Accounting: An Action Design Research Approach.” In <i>European Conference on Information Systems</i>, 2020.","ieee":"R. Grytz, A. Krohn-Grimberghe, and O. Müller, “Business Intelligence &#38; Analytics Cost Accounting: An Action Design Research Approach,” 2020.","apa":"Grytz, R., Krohn-Grimberghe, A., &#38; Müller, O. (2020). Business Intelligence &#38; Analytics Cost Accounting: An Action Design Research Approach. <i>European Conference on Information Systems</i>.","bibtex":"@inproceedings{Grytz_Krohn-Grimberghe_Müller_2020, title={Business Intelligence &#38; Analytics Cost Accounting: An Action Design Research Approach}, booktitle={European Conference on Information Systems}, author={Grytz, Raphael and Krohn-Grimberghe, Artus and Müller, Oliver}, year={2020} }","mla":"Grytz, Raphael, et al. “Business Intelligence &#38; Analytics Cost Accounting: An Action Design Research Approach.” <i>European Conference on Information Systems</i>, 2020.","short":"R. Grytz, A. Krohn-Grimberghe, O. Müller, in: European Conference on Information Systems, 2020."},"title":"Business Intelligence & Analytics Cost Accounting: An Action Design Research Approach","main_file_link":[{"url":"https://aisel.aisnet.org/ecis2020_rp/121/"}],"date_updated":"2022-08-17T07:20:01Z","date_created":"2020-06-17T09:49:08Z","author":[{"last_name":"Grytz","full_name":"Grytz, Raphael","id":"4481","first_name":"Raphael"},{"first_name":"Artus","last_name":"Krohn-Grimberghe","full_name":"Krohn-Grimberghe, Artus"},{"id":"72849","full_name":"Müller, Oliver","last_name":"Müller","first_name":"Oliver"}]},{"title":"Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility","doi":"10.1109/BigData50022.2020.9378134","conference":{"name":"2020 IEEE International Conference on Big Data (Big Data)","start_date":"2020-12-10","end_date":"2020-12-13","location":"Online"},"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9378134"}],"date_updated":"2024-01-15T12:32:37Z","author":[{"last_name":"Caron","full_name":"Caron, Matthew","id":"60721","first_name":"Matthew"},{"first_name":"Oliver","last_name":"Müller","full_name":"Müller, Oliver","id":"72849"}],"date_created":"2021-03-24T13:09:55Z","year":"2020","page":"4383-4391","citation":{"ama":"Caron M, Müller O. Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility. In: <i>2020 IEEE International Conference on Big Data (Big Data)</i>. ; 2020:4383-4391. doi:<a href=\"https://doi.org/10.1109/BigData50022.2020.9378134\">10.1109/BigData50022.2020.9378134</a>","ieee":"M. Caron and O. Müller, “Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility,” in <i>2020 IEEE International Conference on Big Data (Big Data)</i>, Online, 2020, pp. 4383–4391, doi: <a href=\"https://doi.org/10.1109/BigData50022.2020.9378134\">10.1109/BigData50022.2020.9378134</a>.","chicago":"Caron, Matthew, and Oliver Müller. “Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility.” In <i>2020 IEEE International Conference on Big Data (Big Data)</i>, 4383–91, 2020. <a href=\"https://doi.org/10.1109/BigData50022.2020.9378134\">https://doi.org/10.1109/BigData50022.2020.9378134</a>.","apa":"Caron, M., &#38; Müller, O. (2020). Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility. <i>2020 IEEE International Conference on Big Data (Big Data)</i>, 4383–4391. <a href=\"https://doi.org/10.1109/BigData50022.2020.9378134\">https://doi.org/10.1109/BigData50022.2020.9378134</a>","short":"M. Caron, O. Müller, in: 2020 IEEE International Conference on Big Data (Big Data), 2020, pp. 4383–4391.","mla":"Caron, Matthew, and Oliver Müller. “Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility.” <i>2020 IEEE International Conference on Big Data (Big Data)</i>, 2020, pp. 4383–91, doi:<a href=\"https://doi.org/10.1109/BigData50022.2020.9378134\">10.1109/BigData50022.2020.9378134</a>.","bibtex":"@inproceedings{Caron_Müller_2020, title={Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility}, DOI={<a href=\"https://doi.org/10.1109/BigData50022.2020.9378134\">10.1109/BigData50022.2020.9378134</a>}, booktitle={2020 IEEE International Conference on Big Data (Big Data)}, author={Caron, Matthew and Müller, Oliver}, year={2020}, pages={4383–4391} }"},"publication_identifier":{"eisbn":["978-1-7281-6251-5"]},"publication_status":"published","language":[{"iso":"eng"}],"_id":"21563","department":[{"_id":"196"}],"user_id":"60721","abstract":[{"lang":"eng","text":"Historically, the field of financial forecasting almost exclusively relied on so-called hard information – i.e., numerical data with well-defined and unambiguous meaning. Over the last few decades, however, researchers and practitioners alike have, following the advances in natural language understanding, started recognizing the benefits of integrating soft information into financial modelling. In line with the above, this paper examines whether contemporary attention-based sequence-to-sequence models, known as Transformers, can help improve stock return volatility prediction when applied to corporate annual reports. Using a publicly available benchmark dataset, we show, in an empirical analysis, that out-of-the-box Transformer models have the ability to outmatch current state-of-the-art results and, more importantly, that our proposed feature-based Transformer approach can outperform a robust numerical baseline. To the best of our knowledge, this is the first empirical study focusing on stock return volatility prediction (1) to ever experiment with state-of-the-art Transformer architectures and (2) to demonstrate that a model based solely on soft information can surpass its numerical counterpart. Furthermore, we show that by including an additional numerical feature into our best text-only model, we can push the performance of our model even further, suggesting that soft and hard information contain different predictive signals."}],"status":"public","publication":"2020 IEEE International Conference on Big Data (Big Data)","type":"conference"},{"page":"941--968 ","citation":{"apa":"Schmiedel, T., Müller, O., &#38; vom Brocke, J. (2019). Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture. <i>Organizational Research Methods</i>, 941--968. <a href=\"https://doi.org/10.1177/1094428118773858\">https://doi.org/10.1177/1094428118773858</a>","bibtex":"@article{Schmiedel_Müller_vom Brocke_2019, title={Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture}, DOI={<a href=\"https://doi.org/10.1177/1094428118773858\">https://doi.org/10.1177/1094428118773858</a>}, journal={Organizational Research Methods}, author={Schmiedel, T. and Müller, Oliver and vom Brocke, J.}, year={2019}, pages={941--968} }","short":"T. Schmiedel, O. Müller, J. vom Brocke, Organizational Research Methods (2019) 941--968.","mla":"Schmiedel, T., et al. “Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture.” <i>Organizational Research Methods</i>, 2019, pp. 941--968, doi:<a href=\"https://doi.org/10.1177/1094428118773858\">https://doi.org/10.1177/1094428118773858</a>.","ieee":"T. Schmiedel, O. Müller, and J. vom Brocke, “Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture,” <i>Organizational Research Methods</i>, pp. 941--968, 2019.","chicago":"Schmiedel, T., Oliver Müller, and J. vom Brocke. “Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture.” <i>Organizational Research Methods</i>, 2019, 941--968. <a href=\"https://doi.org/10.1177/1094428118773858\">https://doi.org/10.1177/1094428118773858</a>.","ama":"Schmiedel T, Müller O, vom Brocke J. Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture. <i>Organizational Research Methods</i>. 2019:941--968. doi:<a href=\"https://doi.org/10.1177/1094428118773858\">https://doi.org/10.1177/1094428118773858</a>"},"year":"2019","doi":"https://doi.org/10.1177/1094428118773858","title":"Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture","date_created":"2018-10-12T08:24:26Z","author":[{"full_name":"Schmiedel, T.","last_name":"Schmiedel","first_name":"T."},{"first_name":"Oliver","last_name":"Müller","full_name":"Müller, Oliver","id":"72849"},{"first_name":"J.","full_name":"vom Brocke, J.","last_name":"vom Brocke"}],"date_updated":"2022-01-06T07:01:18Z","status":"public","publication":"Organizational Research Methods","type":"journal_article","language":[{"iso":"eng"}],"extern":"1","keyword":["online reviews","organizational culture","structural topic model","topic modeling","tutorial"],"user_id":"72849","_id":"4682"},{"citation":{"chicago":"Müller, Oliver. “Structuring Unstructured Data—Or: How Machine Learning Can Make You a Wine Sommelier.” In <i>The Art of Structuring</i>, 2019. <a href=\"https://doi.org/10.1007/978-3-030-06234-7_29\">https://doi.org/10.1007/978-3-030-06234-7_29</a>.","ieee":"O. Müller, “Structuring Unstructured Data—Or: How Machine Learning Can Make You a Wine Sommelier,” in <i>The Art of Structuring</i>, 2019.","ama":"Müller O. Structuring Unstructured Data—Or: How Machine Learning Can Make You a Wine Sommelier. In: <i>The Art of Structuring</i>. ; 2019. doi:<a href=\"https://doi.org/10.1007/978-3-030-06234-7_29\">10.1007/978-3-030-06234-7_29</a>","apa":"Müller, O. (2019). Structuring Unstructured Data—Or: How Machine Learning Can Make You a Wine Sommelier. In <i>The Art of Structuring</i>. <a href=\"https://doi.org/10.1007/978-3-030-06234-7_29\">https://doi.org/10.1007/978-3-030-06234-7_29</a>","bibtex":"@inbook{Müller_2019, title={Structuring Unstructured Data—Or: How Machine Learning Can Make You a Wine Sommelier}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-06234-7_29\">10.1007/978-3-030-06234-7_29</a>}, booktitle={The Art of Structuring}, author={Müller, Oliver}, year={2019} }","short":"O. Müller, in: The Art of Structuring, 2019.","mla":"Müller, Oliver. “Structuring Unstructured Data—Or: How Machine Learning Can Make You a Wine Sommelier.” <i>The Art of Structuring</i>, 2019, doi:<a href=\"https://doi.org/10.1007/978-3-030-06234-7_29\">10.1007/978-3-030-06234-7_29</a>."},"year":"2019","publication_identifier":{"isbn":["9783030062330","9783030062347"]},"publication_status":"published","doi":"10.1007/978-3-030-06234-7_29","title":"Structuring Unstructured Data—Or: How Machine Learning Can Make You a Wine Sommelier","date_created":"2020-03-06T07:17:56Z","author":[{"first_name":"Oliver","last_name":"Müller","full_name":"Müller, Oliver","id":"72849"}],"date_updated":"2022-01-06T06:52:47Z","status":"public","publication":"The Art of Structuring","type":"book_chapter","language":[{"iso":"eng"}],"user_id":"72849","_id":"16251"},{"title":"The Effect of Marker-less Augmented Reality on Task and Learning Performance","main_file_link":[{"url":"https://aisel.aisnet.org/wi2019/track13/papers/9/"}],"date_updated":"2022-08-17T07:20:42Z","date_created":"2020-06-17T10:01:00Z","author":[{"first_name":"Peter","full_name":"Sommerauer, Peter","last_name":"Sommerauer"},{"first_name":"Oliver","id":"72849","full_name":"Müller, Oliver","last_name":"Müller"},{"first_name":"Leonard","last_name":"Maxim","full_name":"Maxim, Leonard"},{"first_name":"Nils","last_name":"Østman","full_name":"Østman, Nils"}],"year":"2019","citation":{"ama":"Sommerauer P, Müller O, Maxim L, Østman N. The Effect of Marker-less Augmented Reality on Task and Learning Performance. In: <i>International Conference on Wirtschaftsinformatik</i>. ; 2019.","ieee":"P. Sommerauer, O. Müller, L. Maxim, and N. Østman, “The Effect of Marker-less Augmented Reality on Task and Learning Performance,” 2019.","chicago":"Sommerauer, Peter, Oliver Müller, Leonard Maxim, and Nils Østman. “The Effect of Marker-Less Augmented Reality on Task and Learning Performance.” In <i>International Conference on Wirtschaftsinformatik</i>, 2019.","apa":"Sommerauer, P., Müller, O., Maxim, L., &#38; Østman, N. (2019). The Effect of Marker-less Augmented Reality on Task and Learning Performance. <i>International Conference on Wirtschaftsinformatik</i>.","bibtex":"@inproceedings{Sommerauer_Müller_Maxim_Østman_2019, title={The Effect of Marker-less Augmented Reality on Task and Learning Performance}, booktitle={International Conference on Wirtschaftsinformatik}, author={Sommerauer, Peter and Müller, Oliver and Maxim, Leonard and Østman, Nils}, year={2019} }","short":"P. Sommerauer, O. Müller, L. Maxim, N. Østman, in: International Conference on Wirtschaftsinformatik, 2019.","mla":"Sommerauer, Peter, et al. “The Effect of Marker-Less Augmented Reality on Task and Learning Performance.” <i>International Conference on Wirtschaftsinformatik</i>, 2019."},"language":[{"iso":"eng"}],"extern":"1","_id":"17096","user_id":"72849","department":[{"_id":"196"}],"abstract":[{"text":"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.","lang":"eng"}],"status":"public","type":"conference","publication":"International Conference on Wirtschaftsinformatik"},{"intvolume":"        29","page":"7-18","citation":{"short":"D. Beverungen, O. Müller, M. Matzner, J. Mendling, J. vom Brocke, Electronic Markets 29 (2019) 7–18.","mla":"Beverungen, Daniel, et al. “Conceptualizing Smart Service Systems.” <i>Electronic Markets</i>, vol. 29, SpringerNature, 2019, pp. 7–18, doi:<a href=\"https://doi.org/10.1007/s12525-017-0270-5\">10.1007/s12525-017-0270-5</a>.","bibtex":"@article{Beverungen_Müller_Matzner_Mendling_vom Brocke_2019, title={Conceptualizing smart service systems}, volume={29}, DOI={<a href=\"https://doi.org/10.1007/s12525-017-0270-5\">10.1007/s12525-017-0270-5</a>}, journal={Electronic Markets}, publisher={SpringerNature}, author={Beverungen, Daniel and Müller, Oliver and Matzner, Martin and Mendling, Jan and vom Brocke, Jan}, year={2019}, pages={7–18} }","apa":"Beverungen, D., Müller, O., Matzner, M., Mendling, J., &#38; vom Brocke, J. (2019). Conceptualizing smart service systems. <i>Electronic Markets</i>, <i>29</i>, 7–18. <a href=\"https://doi.org/10.1007/s12525-017-0270-5\">https://doi.org/10.1007/s12525-017-0270-5</a>","ama":"Beverungen D, Müller O, Matzner M, Mendling J, vom Brocke J. Conceptualizing smart service systems. <i>Electronic Markets</i>. 2019;29:7-18. doi:<a href=\"https://doi.org/10.1007/s12525-017-0270-5\">10.1007/s12525-017-0270-5</a>","chicago":"Beverungen, Daniel, Oliver Müller, Martin Matzner, Jan Mendling, and Jan vom Brocke. “Conceptualizing Smart Service Systems.” <i>Electronic Markets</i> 29 (2019): 7–18. <a href=\"https://doi.org/10.1007/s12525-017-0270-5\">https://doi.org/10.1007/s12525-017-0270-5</a>.","ieee":"D. Beverungen, O. Müller, M. Matzner, J. Mendling, and J. vom Brocke, “Conceptualizing smart service systems,” <i>Electronic Markets</i>, vol. 29, pp. 7–18, 2019, doi: <a href=\"https://doi.org/10.1007/s12525-017-0270-5\">10.1007/s12525-017-0270-5</a>."},"jel":["L8"],"publication_identifier":{"issn":["14228890"]},"has_accepted_license":"1","publication_status":"published","doi":"10.1007/s12525-017-0270-5","date_updated":"2024-04-18T12:55:05Z","volume":29,"author":[{"last_name":"Beverungen","id":"59677","full_name":"Beverungen, Daniel","first_name":"Daniel"},{"first_name":"Oliver","full_name":"Müller, Oliver","id":"72849","last_name":"Müller"},{"first_name":"Martin","full_name":"Matzner, Martin","last_name":"Matzner"},{"first_name":"Jan","last_name":"Mendling","full_name":"Mendling, Jan"},{"last_name":"vom Brocke","full_name":"vom Brocke, Jan","first_name":"Jan"}],"status":"public","type":"journal_article","article_type":"original","file_date_updated":"2024-04-18T12:53:07Z","_id":"4684","project":[{"name":"RISE_BPM: Propelling Business Process Management by Research and Innovation Staff Exchange","_id":"1070","grant_number":"645751","call_identifier":"MSCA-RISE-2014"}],"department":[{"_id":"195"}],"user_id":"59677","year":"2019","quality_controlled":"1","title":"Conceptualizing smart service systems","publisher":"SpringerNature","date_created":"2018-10-12T08:24:45Z","abstract":[{"lang":"eng","text":"Recent years have seen the emergence of physical products that are digitally networked with other products and with information systems to enable complex business scenarios in manufacturing, mobility, or healthcare. These “smart products”, which enable the co-creation of “smart service” that is based on monitoring, optimization, remote control, and autonomous adaptation of products, profoundly transform service systems into what we call “smart service systems”. In a multi-method study that includes conceptual research and qualitative data from in-depth interviews, we conceptualize “smart service” and “smart service systems” based on using smart products as boundary objects that integrate service consumers’ and service providers’ resources and activities. Smart products allow both actors to retrieve and to analyze aggregated field evidence and to adapt service systems based on contextual data. We discuss the implications that the introduction of smart service systems have for foundational concepts of service science and conclude that smart service systems are characterized by technology-mediated, continuous, and routinized interactions."}],"file":[{"success":1,"relation":"main_file","content_type":"application/pdf","file_size":599681,"access_level":"closed","file_name":"Beverungen_et_al-Conceptualizing_Smart_Service_Systems.pdf","file_id":"53575","date_updated":"2024-04-18T12:53:07Z","creator":"dabe","date_created":"2024-04-18T12:53:07Z"}],"publication":"Electronic Markets","keyword":["Boundary object","Internet of things","Service science","Smart products","Smart service"],"ddc":["380"],"language":[{"iso":"eng"}]},{"year":"2018","status":"public","citation":{"ieee":"P. Sommerauer and O. Müller, “Augmented Reality in Informal Learning Environments: Investigating Short-term and Long-term Effects,” in <i>Hawaii International Conference on System Sciences</i>, 2018.","chicago":"Sommerauer, Peter, and Oliver Müller. “Augmented Reality in Informal Learning Environments: Investigating Short-Term and Long-Term Effects.” In <i>Hawaii International Conference on System Sciences</i>, 2018. <a href=\"https://doi.org/10.24251/HICSS.2018.176\">https://doi.org/10.24251/HICSS.2018.176</a>.","ama":"Sommerauer P, Müller O. Augmented Reality in Informal Learning Environments: Investigating Short-term and Long-term Effects. In: <i>Hawaii International Conference on System Sciences</i>. ; 2018. doi:<a href=\"https://doi.org/10.24251/HICSS.2018.176\">10.24251/HICSS.2018.176</a>","short":"P. Sommerauer, O. Müller, in: Hawaii International Conference on System Sciences, 2018.","bibtex":"@inproceedings{Sommerauer_Müller_2018, title={Augmented Reality in Informal Learning Environments: Investigating Short-term and Long-term Effects}, DOI={<a href=\"https://doi.org/10.24251/HICSS.2018.176\">10.24251/HICSS.2018.176</a>}, booktitle={Hawaii International Conference on System Sciences}, author={Sommerauer, Peter and Müller, Oliver}, year={2018} }","mla":"Sommerauer, Peter, and Oliver Müller. “Augmented Reality in Informal Learning Environments: Investigating Short-Term and Long-Term Effects.” <i>Hawaii International Conference on System Sciences</i>, 2018, doi:<a href=\"https://doi.org/10.24251/HICSS.2018.176\">10.24251/HICSS.2018.176</a>.","apa":"Sommerauer, P., &#38; Müller, O. (2018). Augmented Reality in Informal Learning Environments: Investigating Short-term and Long-term Effects. In <i>Hawaii International Conference on System Sciences</i>. <a href=\"https://doi.org/10.24251/HICSS.2018.176\">https://doi.org/10.24251/HICSS.2018.176</a>"},"publication":"Hawaii International Conference on System Sciences","type":"conference","title":"Augmented Reality in Informal Learning Environments: Investigating Short-term and Long-term Effects","language":[{"iso":"eng"}],"doi":"10.24251/HICSS.2018.176","extern":"1","_id":"4676","date_updated":"2022-01-06T07:01:18Z","user_id":"72849","date_created":"2018-10-12T08:14:40Z","author":[{"first_name":"Peter","full_name":"Sommerauer, Peter","last_name":"Sommerauer"},{"first_name":"Oliver","id":"72849","full_name":"Müller, Oliver","last_name":"Müller"}]},{"_id":"4679","user_id":"72849","extern":"1","type":"journal_article","publication":"Journal of Enterprise Information Management","status":"public","date_updated":"2022-01-06T07:01:18Z","author":[{"full_name":"Jaakonmäki, Roope","last_name":"Jaakonmäki","first_name":"Roope"},{"first_name":"Alexander","last_name":"Simons","full_name":"Simons, Alexander"},{"id":"72849","full_name":"Müller, Oliver","last_name":"Müller","first_name":"Oliver"},{"last_name":"vom Brocke","full_name":"vom Brocke, Jan","first_name":"Jan"}],"date_created":"2018-10-12T08:22:37Z","title":"ECM implementations in practice: objectives, processes, and technologies","doi":"10.1108/JEIM-11-2016-0187","publication_identifier":{"issn":["1741-0398"]},"issue":"5","year":"2018","citation":{"bibtex":"@article{Jaakonmäki_Simons_Müller_vom Brocke_2018, title={ECM implementations in practice: objectives, processes, and technologies}, DOI={<a href=\"https://doi.org/10.1108/JEIM-11-2016-0187\">10.1108/JEIM-11-2016-0187</a>}, number={5}, journal={Journal of Enterprise Information Management}, author={Jaakonmäki, Roope and Simons, Alexander and Müller, Oliver and vom Brocke, Jan}, year={2018}, pages={704--723} }","short":"R. Jaakonmäki, A. Simons, O. Müller, J. vom Brocke, Journal of Enterprise Information Management (2018) 704--723.","mla":"Jaakonmäki, Roope, et al. “ECM Implementations in Practice: Objectives, Processes, and Technologies.” <i>Journal of Enterprise Information Management</i>, no. 5, 2018, pp. 704--723, doi:<a href=\"https://doi.org/10.1108/JEIM-11-2016-0187\">10.1108/JEIM-11-2016-0187</a>.","apa":"Jaakonmäki, R., Simons, A., Müller, O., &#38; vom Brocke, J. (2018). ECM implementations in practice: objectives, processes, and technologies. <i>Journal of Enterprise Information Management</i>, (5), 704--723. <a href=\"https://doi.org/10.1108/JEIM-11-2016-0187\">https://doi.org/10.1108/JEIM-11-2016-0187</a>","ieee":"R. Jaakonmäki, A. Simons, O. Müller, and J. vom Brocke, “ECM implementations in practice: objectives, processes, and technologies,” <i>Journal of Enterprise Information Management</i>, no. 5, pp. 704--723, 2018.","chicago":"Jaakonmäki, Roope, Alexander Simons, Oliver Müller, and Jan vom Brocke. “ECM Implementations in Practice: Objectives, Processes, and Technologies.” <i>Journal of Enterprise Information Management</i>, no. 5 (2018): 704--723. <a href=\"https://doi.org/10.1108/JEIM-11-2016-0187\">https://doi.org/10.1108/JEIM-11-2016-0187</a>.","ama":"Jaakonmäki R, Simons A, Müller O, vom Brocke J. ECM implementations in practice: objectives, processes, and technologies. <i>Journal of Enterprise Information Management</i>. 2018;(5):704--723. doi:<a href=\"https://doi.org/10.1108/JEIM-11-2016-0187\">10.1108/JEIM-11-2016-0187</a>"},"page":"704--723"}]