@inproceedings{25029, abstract = {{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.}}, author = {{Caron, Matthew and Gulenko, Maryna and Müller, Oliver}}, booktitle = {{42nd International Conference on Information Systems (ICIS 2021)}}, keywords = {{Retail investors, GameStop, Social Networks, Reddit, WallStreetBets}}, location = {{Austin, Texas}}, title = {{{To the Moon! Analyzing the Community of “Degenerates” Engaged in the Surge of the GME Stock}}}, year = {{2021}}, } @inproceedings{44073, author = {{Meydani, Elnaz and Düsing, Christoph and Trier, Matthias}}, booktitle = {{Innovation Through Information Systems: Volume II: A Collection of Latest Research on Technology Issues}}, pages = {{72–77}}, title = {{{Towards a Trust-Aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism}}}, year = {{2021}}, } @phdthesis{24884, author = {{Szopinski, Daniel}}, title = {{{Essays on Modeling Languages and Software Tools for Business Model Innovation: Theory and Empirical Evidence}}}, doi = {{10.17619/UNIPB/1-1647 }}, year = {{2021}}, } @inproceedings{22014, author = {{Seutter, Janina and Müller, Michelle and Neumann, Jürgen and Kundisch, Dennis}}, location = {{Virtual Conference/Workshop}}, publisher = {{Proceedings of the International Conference on Challenges in Managing Smart Products and Services (CHIMSPAS 2021)}}, title = {{{Do Smart Product Service Systems Crowd Out Interactions in Online Communities? – Empirical Evidence from a Cooking Community}}}, year = {{2021}}, } @inproceedings{23411, author = {{Müller, Michelle and Neumann, Jürgen and Kundisch, Dennis}}, location = {{Newport Beach, California, USA}}, title = {{{Toss a Coin to Your Host? – Why Guests Do Not Always End Up Paying for the Cost of Regulatory Policies}}}, year = {{2021}}, } @article{54191, author = {{Amoozad Mahdiraji, Hannan and Tavana, Madjid and Mahdiani, Pouya and Abbasi Kamardi, Ali Asghar}}, issn = {{1463-5771}}, journal = {{Benchmarking: An International Journal}}, number = {{2}}, pages = {{456--495}}, publisher = {{Emerald}}, title = {{{A multi-attribute data mining model for rule extraction and service operations benchmarking}}}, doi = {{10.1108/bij-03-2021-0127}}, volume = {{29}}, year = {{2021}}, } @inproceedings{19739, author = {{Szopinski, Daniel}}, booktitle = {{Proceedings of the 15th International Conference on Design Science Research in Information Systems and Technology (DESRIST)}}, location = {{Virtual Conference/Workshop}}, title = {{{Active Business Model Development Tools: Design Requirements}}}, year = {{2020}}, } @inproceedings{19741, author = {{Szopinski, Daniel}}, booktitle = {{Proceedings of the 41st International Conference on Information Systems (ICIS)}}, location = {{Virtual Conference/Workshop}}, title = {{{Exploring design principles for stimuli in business model development tools}}}, year = {{2020}}, } @inproceedings{19782, author = {{Müller, Michelle and Neumann, Jürgen and Gutt, Dominik and Kundisch, Dennis}}, booktitle = {{Proceedings of the 41th International Conference on Information Systems (ICIS)}}, location = {{Virtual Conference/Workshop}}, title = {{{Toss a Coin to your Host - How Guests End up Paying for the Cost of Regulatory Policies}}}, year = {{2020}}, } @techreport{20131, author = {{Kundisch, Dennis and Beverungen, Daniel}}, pages = {{22--26}}, title = {{{Als Wirtschaftsinformatiker die digitale Transformation in Organisationen gestalten}}}, year = {{2020}}, } @article{2834, author = {{Gutt, Dominik and von Rechenberg, Tobias and Kundisch, Dennis}}, journal = {{Journal of Business Research}}, pages = {{277--287}}, publisher = {{Elsevier}}, title = {{{Goal Achievement, Subsequent User Effort and the Moderating Role of Goal Difficulty}}}, doi = {{10.1016/j.jbusres.2018.06.019}}, volume = {{106}}, year = {{2020}}, } @phdthesis{21205, author = {{Wolf, Verena}}, title = {{{Service System Innovation: An Ambidexterity Perspective}}}, year = {{2020}}, } @article{21282, abstract = {{ In recent times societal crises such as the coronavirus disease 2019 outbreak have given rise to a tension between formal ‘command and control’ and informal social media activated self-organising information and communication systems that are utilised for crisis management decision-making. Social media distrust affects the dissemination of disaster information as it entails shifts in media perception and participation but also changes in the way individuals and organisations make sense of information in critical situations. So far, a little considered notion in this domain is the concept of sense-giving. Originating from organisational theory, it is used to explain the mechanisms behind intentional information provision that fosters collective meaning creation. In our study, we seek to understand the potential impact of sense-giving from Twitter crisis communication generated during the Hurricane Harvey disaster event. Social network and content analyses performed with a dataset of 9,414,463 tweets yielded insights into how sense-giving occurs during a large-scale disaster event. Theoretically, we specified (1) perpetual sense-giving, which relies primarily on topical authority and frequency; as well as (2) intermittent sense-giving, which occurs from high value of message content and leverage of popularity, that is, retweets. Our findings emphasise the importance of information-rich actors in communication networks and the leverage of their influence in crises such as coronavirus disease 2019 to reduce social media distrust and facilitate sense-making. }}, author = {{Mirbabaie, Milad and Bunker, Deborah and Stieglitz, Stefan and Marx, Julian and Ehnis, Christian}}, issn = {{0268-3962}}, journal = {{Journal of Information Technology}}, pages = {{195--213}}, title = {{{Social media in times of crisis: Learning from Hurricane Harvey for the coronavirus disease 2019 pandemic response}}}, doi = {{10.1177/0268396220929258}}, year = {{2020}}, } @article{21306, author = {{Stieglitz, Stefan and Wilms, Konstantin and Mirbabaie, Milad and Hofeditz, Lennart and Brenger, Bela and López, Ania and Rehwald, Stephanie}}, issn = {{1932-6203}}, journal = {{PLOS ONE}}, title = {{{When are researchers willing to share their data? – Impacts of values and uncertainty on open data in higher education}}}, doi = {{10.1371/journal.pone.0234172}}, year = {{2020}}, } @inproceedings{21315, author = {{Hofeditz, L. and Mirbabaie, Milad and Stieglitz, S.}}, booktitle = {{Proceedings of the 31st Australasian Conference on Information Systems}}, title = {{{Virtually Extended Coworking Spaces – The Reinforcement of Social Proximity, Motivation and Knowledge Sharing Through ICT}}}, year = {{2020}}, } @inproceedings{21316, author = {{Mirbabaie, Milad and Marx, J. and Braun, L.-M. and Stieglitz, S.}}, booktitle = {{Proceedings of the 31st Australasian Conference on Information Systems}}, title = {{{Digital Detox – Mitigating Digital Overuse in Times of Remote Work and Social Isolation}}}, year = {{2020}}, } @inproceedings{21317, author = {{Marx, J. and Brünker, F. and Mirbabaie, Milad and Hochstrate, E.}}, booktitle = {{Proceedings of the 31st Australasian Conference on Information Systems}}, title = {{{‘Conspiracy Machines’ - The Role of Social Bots during the COVID-19 ‘Infodemic’}}}, year = {{2020}}, } @inproceedings{21318, author = {{Fromm, J. and Mirbabaie, Milad and Stieglitz, S.}}, booktitle = {{Proceedings of the Twenty-Eight European Conference on Information Systems}}, title = {{{A Systematic Review of Empirical Affordance Studies: Recommendations for Affordance Research in Information Systems}}}, year = {{2020}}, } @inproceedings{21319, author = {{Mirbabaie, Milad and Stieglitz, S. and Lambertz, L.}}, booktitle = {{Proceedings of the 15th International Conference on Wirtschaftsinformatik}}, title = {{{The Usage of Twitter Data for Early Crisis Detection}}}, year = {{2020}}, } @inproceedings{21320, author = {{Brünker, F. and Marx, J. and Ross, B. and Mirbabaie, Milad and Stieglitz, S.}}, booktitle = {{Proceedings of the 15. Internationaler Kongress Für Wirtschaftsinformatik}}, title = {{{‘The Tireless Selling-Machine’ – Commercial Deployment of Social Bots during Black Friday Season on Twitter}}}, year = {{2020}}, }