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Bui, 2022."},"place":"Honolulu, HI","user_id":"64394","title":"A Renaissance of Context in Design Science Research","author":[{"first_name":"Philipp","full_name":"zur Heiden, Philipp","last_name":"zur Heiden","id":"64394"},{"id":"59677","last_name":"Beverungen","full_name":"Beverungen, Daniel","first_name":"Daniel"}],"department":[{"_id":"526"}],"publication":"Proceedings of the 55th Hawaii International Conference on System Sciences","status":"public","date_created":"2022-01-03T08:43:04Z","editor":[{"full_name":"Bui, Tung X.","first_name":"Tung X.","last_name":"Bui"}],"publication_identifier":{"isbn":["978-0-9981331-5-7"]},"publication_status":"published"},{"title":"DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte","user_id":"64394","department":[{"_id":"195"}],"publisher":"NORDAKADEMIE gAG Hochschule der Wirtschaft","author":[{"last_name":"Schulz","full_name":"Schulz, Michael","first_name":"Michael"},{"last_name":"Neuhaus","full_name":"Neuhaus, Uwe","first_name":"Uwe"},{"full_name":"Kaufmann, Jens","first_name":"Jens","last_name":"Kaufmann"},{"last_name":"Kühnel","full_name":"Kühnel, Stephan","first_name":"Stephan"},{"last_name":"Alekozai","first_name":"Emal M.","full_name":"Alekozai, Emal M."},{"first_name":"Heiko","full_name":"Rohde, Heiko","last_name":"Rohde"},{"first_name":"Sayed","full_name":"Hoseini, Sayed","last_name":"Hoseini"},{"last_name":"Theuerkauf","first_name":"René","full_name":"Theuerkauf, René"},{"last_name":"Badura","first_name":"Daniel","full_name":"Badura, Daniel"},{"first_name":"Ulrich","full_name":"Kerzel, Ulrich","last_name":"Kerzel"},{"last_name":"Lanquillon","first_name":"Carsten","full_name":"Lanquillon, Carsten"},{"last_name":"Daurer","first_name":"Stephan","full_name":"Daurer, Stephan"},{"last_name":"Günther","full_name":"Günther, Maik","first_name":"Maik"},{"first_name":"Lukas","full_name":"Huber, Lukas","last_name":"Huber"},{"last_name":"Thiée","full_name":"Thiée, Lukas-Walter","first_name":"Lukas-Walter"},{"full_name":"zur Heiden, Philipp","first_name":"Philipp","id":"64394","last_name":"zur Heiden"},{"last_name":"Passlick","first_name":"Jens","full_name":"Passlick, Jens"},{"full_name":"Dieckmann, Jonas","first_name":"Jonas","last_name":"Dieckmann"},{"first_name":"Florian","full_name":"Schwade, Florian","last_name":"Schwade"},{"full_name":"Seyffarth, Tobias","first_name":"Tobias","last_name":"Seyffarth"},{"first_name":"Wolfgang","full_name":"Badewitz, Wolfgang","last_name":"Badewitz"},{"first_name":"Raphael","full_name":"Rissler, Raphael","last_name":"Rissler"},{"first_name":"Stefan","full_name":"Sackmann, Stefan","last_name":"Sackmann"},{"last_name":"Gölzer","full_name":"Gölzer, Philipp","first_name":"Philipp"},{"last_name":"Welter","full_name":"Welter, Felix","first_name":"Felix"},{"first_name":"Jochen","full_name":"Röth, Jochen","last_name":"Röth"},{"last_name":"Seidelmann","first_name":"Julian","full_name":"Seidelmann, Julian"},{"last_name":"Haneke","full_name":"Haneke, Uwe","first_name":"Uwe"}],"publication_status":"published","date_created":"2022-04-04T11:58:42Z","status":"public","_id":"30737","date_updated":"2022-04-04T12:00:53Z","oa":"1","main_file_link":[{"url":"https://www.nordakademie.de/forschung/data-science-process-model","open_access":"1"}],"citation":{"ieee":"M. Schulz et al., DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte. NORDAKADEMIE gAG Hochschule der Wirtschaft, 2022.","short":"M. Schulz, U. Neuhaus, J. Kaufmann, S. Kühnel, E.M. Alekozai, H. Rohde, S. Hoseini, R. Theuerkauf, D. Badura, U. Kerzel, C. Lanquillon, S. Daurer, M. Günther, L. Huber, L.-W. Thiée, P. zur Heiden, J. Passlick, J. Dieckmann, F. Schwade, T. Seyffarth, W. Badewitz, R. Rissler, S. Sackmann, P. Gölzer, F. Welter, J. Röth, J. Seidelmann, U. Haneke, DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte, NORDAKADEMIE gAG Hochschule der Wirtschaft, 2022.","mla":"Schulz, Michael, et al. DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte. NORDAKADEMIE gAG Hochschule der Wirtschaft, 2022.","bibtex":"@book{Schulz_Neuhaus_Kaufmann_Kühnel_Alekozai_Rohde_Hoseini_Theuerkauf_Badura_Kerzel_et al._2022, title={DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte}, publisher={NORDAKADEMIE gAG Hochschule der Wirtschaft}, 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 et al.}, year={2022} }","chicago":"Schulz, Michael, Uwe Neuhaus, Jens Kaufmann, Stephan Kühnel, Emal M. Alekozai, Heiko Rohde, Sayed Hoseini, et al. DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte. NORDAKADEMIE gAG Hochschule der Wirtschaft, 2022.","apa":"Schulz, M., Neuhaus, U., Kaufmann, J., Kühnel, S., Alekozai, E. M., Rohde, H., Hoseini, S., Theuerkauf, R., Badura, D., Kerzel, U., Lanquillon, C., Daurer, S., Günther, M., Huber, L., Thiée, L.-W., zur Heiden, P., Passlick, J., Dieckmann, J., Schwade, F., … Haneke, U. (2022). DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte. NORDAKADEMIE gAG Hochschule der Wirtschaft.","ama":"Schulz M, Neuhaus U, Kaufmann J, et al. DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte. NORDAKADEMIE gAG Hochschule der Wirtschaft; 2022."},"type":"misc","year":"2022","language":[{"iso":"ger"}]},{"publication_status":"published","publication_identifier":{"isbn":["9783658373436","9783658373443"],"issn":["2662-3382","2662-3390"]},"editor":[{"first_name":"Manfred","full_name":"Bruhn, Manfred","last_name":"Bruhn"},{"last_name":"Hadwich","full_name":"Hadwich, Karsten","first_name":"Karsten"}],"department":[{"_id":"195"}],"title":"Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes","place":"Wiesbaden","language":[{"iso":"ger"}],"series_title":"Forum Dienstleistungsmanagement","doi":"10.1007/978-3-658-37344-3_14","date_updated":"2022-07-14T10:01:53Z","date_created":"2022-07-14T09:59:37Z","status":"public","publication":"Forum Dienstleistungsmanagement","publisher":"Springer Fachmedien Wiesbaden","author":[{"last_name":"zur Heiden","id":"64394","first_name":"Philipp","full_name":"zur Heiden, Philipp"},{"first_name":"Jennifer","full_name":"Priefer, Jennifer","last_name":"Priefer","id":"82872"},{"first_name":"Daniel","full_name":"Beverungen, Daniel","last_name":"Beverungen","id":"59677"}],"user_id":"64394","page":"435-457","citation":{"bibtex":"@inbook{zur Heiden_Priefer_Beverungen_2022, place={Wiesbaden}, series={Forum Dienstleistungsmanagement}, title={Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes}, DOI={10.1007/978-3-658-37344-3_14}, booktitle={Forum Dienstleistungsmanagement}, publisher={Springer Fachmedien Wiesbaden}, author={zur Heiden, Philipp and Priefer, Jennifer and Beverungen, Daniel}, editor={Bruhn, Manfred and Hadwich, Karsten}, year={2022}, pages={435–457}, collection={Forum Dienstleistungsmanagement} }","mla":"zur Heiden, Philipp, et al. “Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes.” Forum Dienstleistungsmanagement, edited by Manfred Bruhn and Karsten Hadwich, Springer Fachmedien Wiesbaden, 2022, pp. 435–57, doi:10.1007/978-3-658-37344-3_14.","chicago":"Heiden, Philipp zur, Jennifer Priefer, and Daniel Beverungen. “Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes.” In Forum Dienstleistungsmanagement, edited by Manfred Bruhn and Karsten Hadwich, 435–57. Forum Dienstleistungsmanagement. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. https://doi.org/10.1007/978-3-658-37344-3_14.","apa":"zur Heiden, P., Priefer, J., & Beverungen, D. (2022). Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes. In M. Bruhn & K. Hadwich (Eds.), Forum Dienstleistungsmanagement (pp. 435–457). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-37344-3_14","ama":"zur Heiden P, Priefer J, Beverungen D. Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes. In: Bruhn M, Hadwich K, eds. Forum Dienstleistungsmanagement. Forum Dienstleistungsmanagement. Springer Fachmedien Wiesbaden; 2022:435-457. doi:10.1007/978-3-658-37344-3_14","ieee":"P. zur Heiden, J. Priefer, and D. Beverungen, “Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes,” in Forum Dienstleistungsmanagement, M. Bruhn and K. Hadwich, Eds. Wiesbaden: Springer Fachmedien Wiesbaden, 2022, pp. 435–457.","short":"P. zur Heiden, J. Priefer, D. Beverungen, in: M. Bruhn, K. Hadwich (Eds.), Forum Dienstleistungsmanagement, Springer Fachmedien Wiesbaden, Wiesbaden, 2022, pp. 435–457."},"year":"2022","type":"book_chapter","_id":"32363"},{"date_updated":"2023-01-10T10:02:07Z","doi":"10.1007/s12525-022-00530-6","language":[{"iso":"eng"}],"title":"Systematizing the lexicon of platforms in information systems: a data-driven study","department":[{"_id":"526"}],"publication_status":"published","publication_identifier":{"issn":["1019-6781","1422-8890"]},"intvolume":" 32","_id":"35732","issue":"1","page":"375-396","year":"2022","citation":{"apa":"Bartelheimer, C., zur Heiden, P., Lüttenberg, H., & Beverungen, D. (2022). Systematizing the lexicon of platforms in information systems: a data-driven study. Electronic Markets, 32(1), 375–396. https://doi.org/10.1007/s12525-022-00530-6","ama":"Bartelheimer C, zur Heiden P, Lüttenberg H, Beverungen D. Systematizing the lexicon of platforms in information systems: a data-driven study. Electronic Markets. 2022;32(1):375-396. doi:10.1007/s12525-022-00530-6","chicago":"Bartelheimer, Christian, Philipp zur Heiden, Hedda Lüttenberg, and Daniel Beverungen. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” Electronic Markets 32, no. 1 (2022): 375–96. https://doi.org/10.1007/s12525-022-00530-6.","bibtex":"@article{Bartelheimer_zur Heiden_Lüttenberg_Beverungen_2022, title={Systematizing the lexicon of platforms in information systems: a data-driven study}, volume={32}, DOI={10.1007/s12525-022-00530-6}, number={1}, journal={Electronic Markets}, publisher={Springer Science and Business Media LLC}, author={Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}, year={2022}, pages={375–396} }","mla":"Bartelheimer, Christian, et al. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” Electronic Markets, vol. 32, no. 1, Springer Science and Business Media LLC, 2022, pp. 375–96, doi:10.1007/s12525-022-00530-6.","short":"C. Bartelheimer, P. zur Heiden, H. Lüttenberg, D. Beverungen, Electronic Markets 32 (2022) 375–396.","ieee":"C. Bartelheimer, P. zur Heiden, H. Lüttenberg, and D. Beverungen, “Systematizing the lexicon of platforms in information systems: a data-driven study,” Electronic Markets, vol. 32, no. 1, pp. 375–396, 2022, doi: 10.1007/s12525-022-00530-6."},"type":"journal_article","abstract":[{"lang":"eng","text":"AbstractWhile the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level."}],"user_id":"21671","publication":"Electronic Markets","keyword":["Management of Technology and Innovation","Marketing","Computer Science Applications","Economics and Econometrics","Business and International Management"],"publisher":"Springer Science and Business Media LLC","author":[{"id":"49160","last_name":"Bartelheimer","full_name":"Bartelheimer, Christian","first_name":"Christian"},{"first_name":"Philipp","full_name":"zur Heiden, Philipp","last_name":"zur Heiden","id":"64394"},{"full_name":"Lüttenberg, Hedda","first_name":"Hedda","last_name":"Lüttenberg"},{"first_name":"Daniel","full_name":"Beverungen, Daniel","last_name":"Beverungen","id":"59677"}],"date_created":"2023-01-10T10:00:55Z","status":"public","volume":32},{"place":"Oldenburg","title":"Transitioning to Condition-Based Maintenance on the Distribution Grid: Deriving Design Principles from a Qualitative Study","user_id":"64394","publication":"Pre-Conference 16th International Congress on Wirtschaftsinformatik at Universität Duisburg-Essen","department":[{"_id":"195"}],"publisher":"BIS-Verlag der Carl von Ossietzky Universität Oldenburg","author":[{"last_name":"zur Heiden","id":"64394","first_name":"Philipp","full_name":"zur Heiden, Philipp"},{"first_name":"Jennifer","full_name":"Priefer, Jennifer","last_name":"Priefer","id":"82872"}],"publication_status":"published","editor":[{"last_name":"Breitner","first_name":"Michael H.","full_name":"Breitner, Michael H."},{"first_name":"Sebastian","full_name":"Lehnhoff, Sebastian","last_name":"Lehnhoff"},{"first_name":"Astrid","full_name":"Nieße, Astrid","last_name":"Nieße"},{"last_name":"Staudt","full_name":"Staudt, Philipp","first_name":"Philipp"},{"first_name":"Christof","full_name":"Weinhardt, Christof","last_name":"Weinhardt"},{"full_name":"Werth, Oliver","first_name":"Oliver","last_name":"Werth"}],"date_created":"2021-09-15T14:56:32Z","status":"public","conference":{"name":"16th International Congress on Wirtschaftsinformatik","location":"Universität Duisburg-Essen"},"_id":"24534","date_updated":"2022-01-06T06:56:27Z","oa":"1","main_file_link":[{"url":"https://oops.uni-oldenburg.de/5084/1/proceedings_ow_sto_2021.pdf","open_access":"1"}],"year":"2021","type":"conference","citation":{"ieee":"P. zur Heiden and J. Priefer, “Transitioning to Condition-Based Maintenance on the Distribution Grid: Deriving Design Principles from a Qualitative Study,” in Pre-Conference 16th International Congress on Wirtschaftsinformatik at Universität Duisburg-Essen, Universität Duisburg-Essen, 2021.","short":"P. zur Heiden, J. Priefer, in: M.H. Breitner, S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, O. Werth (Eds.), Pre-Conference 16th International Congress on Wirtschaftsinformatik at Universität Duisburg-Essen, BIS-Verlag der Carl von Ossietzky Universität Oldenburg, Oldenburg, 2021.","bibtex":"@inproceedings{zur Heiden_Priefer_2021, place={Oldenburg}, title={Transitioning to Condition-Based Maintenance on the Distribution Grid: Deriving Design Principles from a Qualitative Study}, booktitle={Pre-Conference 16th International Congress on Wirtschaftsinformatik at Universität Duisburg-Essen}, publisher={BIS-Verlag der Carl von Ossietzky Universität Oldenburg}, author={zur Heiden, Philipp and Priefer, Jennifer}, editor={Breitner, Michael H. and Lehnhoff, Sebastian and Nieße, Astrid and Staudt, Philipp and Weinhardt, Christof and Werth, Oliver}, year={2021} }","mla":"zur Heiden, Philipp, and Jennifer Priefer. “Transitioning to Condition-Based Maintenance on the Distribution Grid: Deriving Design Principles from a Qualitative Study.” Pre-Conference 16th International Congress on Wirtschaftsinformatik at Universität Duisburg-Essen, edited by Michael H. Breitner et al., BIS-Verlag der Carl von Ossietzky Universität Oldenburg, 2021.","apa":"zur Heiden, P., & Priefer, J. (2021). Transitioning to Condition-Based Maintenance on the Distribution Grid: Deriving Design Principles from a Qualitative Study. In M. H. Breitner, S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, & O. Werth (Eds.), Pre-Conference 16th International Congress on Wirtschaftsinformatik at Universität Duisburg-Essen. BIS-Verlag der Carl von Ossietzky Universität Oldenburg.","ama":"zur Heiden P, Priefer J. Transitioning to Condition-Based Maintenance on the Distribution Grid: Deriving Design Principles from a Qualitative Study. In: Breitner MH, Lehnhoff S, Nieße A, Staudt P, Weinhardt C, Werth O, eds. Pre-Conference 16th International Congress on Wirtschaftsinformatik at Universität Duisburg-Essen. BIS-Verlag der Carl von Ossietzky Universität Oldenburg; 2021.","chicago":"Heiden, Philipp zur, and Jennifer Priefer. “Transitioning to Condition-Based Maintenance on the Distribution Grid: Deriving Design Principles from a Qualitative Study.” In Pre-Conference 16th International Congress on Wirtschaftsinformatik at Universität Duisburg-Essen, edited by Michael H. Breitner, Sebastian Lehnhoff, Astrid Nieße, Philipp Staudt, Christof Weinhardt, and Oliver Werth. Oldenburg: BIS-Verlag der Carl von Ossietzky Universität Oldenburg, 2021."},"language":[{"iso":"eng"}]},{"_id":"21263","date_updated":"2022-01-06T06:54:52Z","main_file_link":[{"url":"https://aisel.aisnet.org/wi2021/UDigitalRetail/Track06/1/ "}],"language":[{"iso":"eng"}],"type":"conference","year":"2021","citation":{"ieee":"P. zur Heiden and D. Winter, “Discovering Geographical Patterns of Retailers’ Locations for Successful Retail in City Centers,” in Proceedings of the 16th International Conference on Wirtschaftsinformatik, 2021.","short":"P. zur Heiden, D. Winter, in: Proceedings of the 16th International Conference on Wirtschaftsinformatik, 2021.","bibtex":"@inproceedings{zur Heiden_Winter_2021, title={Discovering Geographical Patterns of Retailers’ Locations for Successful Retail in City Centers}, booktitle={Proceedings of the 16th International Conference on Wirtschaftsinformatik}, author={zur Heiden, Philipp and Winter, Daniel}, year={2021} }","mla":"zur Heiden, Philipp, and Daniel Winter. “Discovering Geographical Patterns of Retailers’ Locations for Successful Retail in City Centers.” Proceedings of the 16th International Conference on Wirtschaftsinformatik, 2021.","apa":"zur Heiden, P., & Winter, D. (2021). Discovering Geographical Patterns of Retailers’ Locations for Successful Retail in City Centers. In Proceedings of the 16th International Conference on Wirtschaftsinformatik.","ama":"zur Heiden P, Winter D. Discovering Geographical Patterns of Retailers’ Locations for Successful Retail in City Centers. In: Proceedings of the 16th International Conference on Wirtschaftsinformatik. ; 2021.","chicago":"Heiden, Philipp zur, and Daniel Winter. “Discovering Geographical Patterns of Retailers’ Locations for Successful Retail in City Centers.” In Proceedings of the 16th International Conference on Wirtschaftsinformatik, 2021."},"user_id":"64394","title":"Discovering Geographical Patterns of Retailers' Locations for Successful Retail in City Centers","author":[{"id":"64394","last_name":"zur Heiden","full_name":"zur Heiden, Philipp","first_name":"Philipp"},{"full_name":"Winter, Daniel","first_name":"Daniel","last_name":"Winter"}],"publication":"Proceedings of the 16th International Conference on Wirtschaftsinformatik","status":"public","date_created":"2021-02-22T10:45:55Z"},{"user_id":"40795","title":"Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions","abstract":[{"text":"The development of renewable energies and smart mobility has profoundly impacted the future of the distribution grid. An increasing bidirectional energy flow stresses the assets of the distribution grid, especially medium voltage switchgear. This calls for improved maintenance strategies to prevent critical failures. Predictive maintenance, a maintenance strategy relying on current condition data of assets, serves as a guideline. Novel sensors covering thermal, mechanical, and partial discharge aspects of switchgear, enable continuous condition monitoring of some of the most critical assets of the distribution grid. Combined with machine learning algorithms, the demands put on the distribution grid by the energy and mobility revolutions can be handled. In this paper, we review the current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear. Furthermore, we present an approach to develop a predictive maintenance system based on novel sensors and machine learning. We show how the existing medium voltage grid infrastructure can adapt these new needs on an economic scale.","lang":"eng"}],"status":"public","date_created":"2020-07-28T09:47:36Z","publication_status":"published","publication_identifier":{"issn":["1424-8220"]},"author":[{"last_name":"Hoffmann","full_name":"Hoffmann, Martin W.","first_name":"Martin W."},{"full_name":"Wildermuth, Stephan","first_name":"Stephan","last_name":"Wildermuth"},{"full_name":"Gitzel, Ralf","first_name":"Ralf","last_name":"Gitzel"},{"last_name":"Boyaci","first_name":"Aydin","full_name":"Boyaci, Aydin"},{"last_name":"Gebhardt","first_name":"Jörg","full_name":"Gebhardt, Jörg"},{"full_name":"Kaul, Holger","first_name":"Holger","last_name":"Kaul"},{"first_name":"Ido","full_name":"Amihai, Ido","last_name":"Amihai"},{"last_name":"Forg","full_name":"Forg, Bodo","first_name":"Bodo"},{"last_name":"Suriyah","full_name":"Suriyah, Michael","first_name":"Michael"},{"last_name":"Leibfried","first_name":"Thomas","full_name":"Leibfried, Thomas"},{"first_name":"Volker","full_name":"Stich, Volker","last_name":"Stich"},{"full_name":"Hicking, Jan","first_name":"Jan","last_name":"Hicking"},{"full_name":"Bremer, Martin","first_name":"Martin","last_name":"Bremer"},{"last_name":"Kaminski","first_name":"Lars","full_name":"Kaminski, Lars"},{"last_name":"Beverungen","id":"59677","first_name":"Daniel","full_name":"Beverungen, Daniel"},{"last_name":"zur Heiden","id":"64394","first_name":"Philipp","full_name":"zur Heiden, Philipp"},{"full_name":"Tornede, Tanja","first_name":"Tanja","id":"40795","last_name":"Tornede"}],"publication":"Sensors","oa":"1","article_number":"2099","doi":"10.3390/s20072099","date_updated":"2022-01-06T06:53:11Z","_id":"17426","language":[{"iso":"eng"}],"citation":{"bibtex":"@article{Hoffmann_Wildermuth_Gitzel_Boyaci_Gebhardt_Kaul_Amihai_Forg_Suriyah_Leibfried_et al._2020, title={Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions}, DOI={10.3390/s20072099}, number={2099}, journal={Sensors}, author={Hoffmann, Martin W. and Wildermuth, Stephan and Gitzel, Ralf and Boyaci, Aydin and Gebhardt, Jörg and Kaul, Holger and Amihai, Ido and Forg, Bodo and Suriyah, Michael and Leibfried, Thomas and et al.}, year={2020} }","mla":"Hoffmann, Martin W., et al. “Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions.” Sensors, 2099, 2020, doi:10.3390/s20072099.","chicago":"Hoffmann, Martin W., Stephan Wildermuth, Ralf Gitzel, Aydin Boyaci, Jörg Gebhardt, Holger Kaul, Ido Amihai, et al. “Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions.” Sensors, 2020. https://doi.org/10.3390/s20072099.","apa":"Hoffmann, M. W., Wildermuth, S., Gitzel, R., Boyaci, A., Gebhardt, J., Kaul, H., … Tornede, T. (2020). Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions. Sensors. https://doi.org/10.3390/s20072099","ama":"Hoffmann MW, Wildermuth S, Gitzel R, et al. Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions. Sensors. 2020. doi:10.3390/s20072099","ieee":"M. W. Hoffmann et al., “Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions,” Sensors, 2020.","short":"M.W. Hoffmann, S. Wildermuth, R. Gitzel, A. Boyaci, J. Gebhardt, H. Kaul, I. Amihai, B. Forg, M. Suriyah, T. Leibfried, V. Stich, J. Hicking, M. Bremer, L. Kaminski, D. Beverungen, P. zur Heiden, T. Tornede, Sensors (2020)."},"type":"journal_article","year":"2020","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/1424-8220/20/7/2099"}]},{"title":"Usage of Local Online Platforms in Retail: Insights from retailers' expectations expectations","related_material":{"link":[{"relation":"confirmation","url":"https://aisel.aisnet.org/ecis2020_rip/46?utm_source=aisel.aisnet.org%2Fecis2020_rip%2F46&utm_medium=PDF&utm_campaign=PDFCoverPages"}]},"user_id":"64394","publication":"Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020)","department":[{"_id":"526"}],"author":[{"first_name":"Carsten Ingo","full_name":"Berendes, Carsten Ingo","last_name":"Berendes","id":"53344"},{"last_name":"zur Heiden","id":"64394","first_name":"Philipp","full_name":"zur Heiden, Philipp"},{"first_name":"Marco","full_name":"Niemann, Marco","last_name":"Niemann"},{"full_name":"Hoffmeister, Benedikt","first_name":"Benedikt","last_name":"Hoffmeister"},{"last_name":"Becker","first_name":"Jörg","full_name":"Becker, Jörg"}],"project":[{"_id":"35","grant_number":"02K15A073","name":"Interaktive Einkaufserlebnisse in Innenstädten durch digitale Dienstleistungen"}],"date_created":"2020-06-09T09:10:56Z","status":"public","conference":{"name":"Twenty-Eighth European Conference on Information Systems (ECIS2020)","location":"Virtual Conference"},"_id":"17087","date_updated":"2022-01-06T06:53:04Z","type":"conference","citation":{"ieee":"C. I. Berendes, P. zur Heiden, M. Niemann, B. Hoffmeister, and J. Becker, “Usage of Local Online Platforms in Retail: Insights from retailers’ expectations expectations,” in Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020), Virtual Conference, 2020.","short":"C.I. Berendes, P. zur Heiden, M. Niemann, B. Hoffmeister, J. Becker, in: Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020), 2020.","mla":"Berendes, Carsten Ingo, et al. “Usage of Local Online Platforms in Retail: Insights from Retailers’ Expectations Expectations.” Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020), 2020.","bibtex":"@inproceedings{Berendes_zur Heiden_Niemann_Hoffmeister_Becker_2020, title={Usage of Local Online Platforms in Retail: Insights from retailers’ expectations expectations}, booktitle={Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020)}, author={Berendes, Carsten Ingo and zur Heiden, Philipp and Niemann, Marco and Hoffmeister, Benedikt and Becker, Jörg}, year={2020} }","apa":"Berendes, C. I., zur Heiden, P., Niemann, M., Hoffmeister, B., & Becker, J. (2020). Usage of Local Online Platforms in Retail: Insights from retailers’ expectations expectations. In Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020). Virtual Conference.","ama":"Berendes CI, zur Heiden P, Niemann M, Hoffmeister B, Becker J. Usage of Local Online Platforms in Retail: Insights from retailers’ expectations expectations. In: Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020). ; 2020.","chicago":"Berendes, Carsten Ingo, Philipp zur Heiden, Marco Niemann, Benedikt Hoffmeister, and Jörg Becker. “Usage of Local Online Platforms in Retail: Insights from Retailers’ Expectations Expectations.” In Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020), 2020."},"year":"2020","language":[{"iso":"eng"}]},{"conference":{"location":"Potsdam","name":"15th International Conference on Wirtschaftsinformatik","start_date":"2020-03-07","end_date":"2020-03-11"},"_id":"16285","main_file_link":[{"url":"https://library.gito.de/open-access-pdf/E1_City_recommendations_Master_final.pdf","open_access":"1"}],"citation":{"bibtex":"@inproceedings{zur Heiden_Berendes_Beverungen_2020, place={Potsdam}, title={Designing City Center Area Recommendation Systems }, DOI={doi.org/10.30844/wi_2020_e1-heiden}, booktitle={Proceedings of the 15th International Conference on Wirtschaftsinformatik}, author={zur Heiden, Philipp and Berendes, Carsten Ingo and Beverungen, Daniel}, year={2020} }","mla":"zur Heiden, Philipp, et al. “Designing City Center Area Recommendation Systems .” Proceedings of the 15th International Conference on Wirtschaftsinformatik, 2020, doi:doi.org/10.30844/wi_2020_e1-heiden.","apa":"zur Heiden, P., Berendes, C. I., & Beverungen, D. (2020). Designing City Center Area Recommendation Systems . In Proceedings of the 15th International Conference on Wirtschaftsinformatik. Potsdam. https://doi.org/doi.org/10.30844/wi_2020_e1-heiden","ama":"zur Heiden P, Berendes CI, Beverungen D. Designing City Center Area Recommendation Systems . In: Proceedings of the 15th International Conference on Wirtschaftsinformatik. Potsdam; 2020. doi:doi.org/10.30844/wi_2020_e1-heiden","chicago":"Heiden, Philipp zur, Carsten Ingo Berendes, and Daniel Beverungen. “Designing City Center Area Recommendation Systems .” In Proceedings of the 15th International Conference on Wirtschaftsinformatik. Potsdam, 2020. https://doi.org/doi.org/10.30844/wi_2020_e1-heiden.","ieee":"P. zur Heiden, C. I. Berendes, and D. Beverungen, “Designing City Center Area Recommendation Systems ,” in Proceedings of the 15th International Conference on Wirtschaftsinformatik, Potsdam, 2020.","short":"P. zur Heiden, C.I. Berendes, D. Beverungen, in: Proceedings of the 15th International Conference on Wirtschaftsinformatik, Potsdam, 2020."},"year":"2020","type":"conference","abstract":[{"lang":"eng","text":"To decide in which part of town to open stores, high street retailers consult statistical data on customers and cities, but they cannot analyze their customers’ shopping behavior and geospatial features of a city due to missing data. While previous research has proposed recommendation systems and decision aids that address this type of decision problem – including factory location and assortment planning – there currently is no design knowledge available to prescribe the design of city center area recommendation systems (CCARS). We set out to design a software prototype considering local customers’ shopping interests and geospatial data on their shopping trips for retail site selection. With real data on 500 customers and 1,100 shopping trips, we demonstrate and evaluate our IT artifact. Our results illustrate how retailers and public town center managers can use CCARS for spatial location selection, growing retailers’ profits and a city center’s attractiveness for its citizens."}],"user_id":"64394","ddc":["000"],"file":[{"content_type":"application/pdf","date_updated":"2020-03-13T06:58:54Z","success":1,"relation":"main_file","file_size":1370273,"creator":"pzh","file_id":"16286","access_level":"closed","date_created":"2020-03-13T06:58:54Z","file_name":"E1_City_recommendations_Master_final.pdf"}],"publication":"Proceedings of the 15th International Conference on Wirtschaftsinformatik","keyword":["Town Center Management","High Street Retail","Recommender Systems","Geospatial Recommendations","Design Science Research"],"file_date_updated":"2020-03-13T06:58:54Z","quality_controlled":"1","author":[{"id":"64394","last_name":"zur Heiden","full_name":"zur Heiden, Philipp","first_name":"Philipp"},{"first_name":"Carsten Ingo","full_name":"Berendes, Carsten Ingo","last_name":"Berendes","id":"53344"},{"last_name":"Beverungen","id":"59677","first_name":"Daniel","full_name":"Beverungen, Daniel"}],"date_created":"2020-03-13T07:05:24Z","has_accepted_license":"1","status":"public","date_updated":"2022-01-06T06:52:48Z","oa":"1","doi":"doi.org/10.30844/wi_2020_e1-heiden","language":[{"iso":"eng"}],"place":"Potsdam","title":"Designing City Center Area Recommendation Systems ","department":[{"_id":"526"}],"project":[{"_id":"35","grant_number":"02K15A073","name":"Interaktive Einkaufserlebnisse in Innenstädten durch digitale Dienstleistungen"}],"publication_status":"published"},{"citation":{"bibtex":"@article{Hoffmann_Wildermuth_Gitzel_Boyaci_Gebhardt_Kaul_Amihai_Forg_Suriyah_Leibfried_et al._2020, title={Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions}, volume={20}, DOI={10.3390/s20072099}, number={72099}, journal={Sensors}, publisher={MDPI AG}, author={Hoffmann, Martin W. and Wildermuth, Stephan and Gitzel, Ralf and Boyaci, Aydin and Gebhardt, Jörg and Kaul, Holger and Amihai, Ido and Forg, Bodo and Suriyah, Michael and Leibfried, Thomas and et al.}, year={2020} }","mla":"Hoffmann, Martin W., et al. “Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions.” Sensors, vol. 20, no. 7, 2099, MDPI AG, 2020, doi:10.3390/s20072099.","apa":"Hoffmann, M. W., Wildermuth, S., Gitzel, R., Boyaci, A., Gebhardt, J., Kaul, H., Amihai, I., Forg, B., Suriyah, M., Leibfried, T., Stich, V., Hicking, J., Bremer, M., Kaminski, L., Beverungen, D., zur Heiden, P., & Tornede, T. (2020). Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions. Sensors, 20(7), Article 2099. https://doi.org/10.3390/s20072099","ama":"Hoffmann MW, Wildermuth S, Gitzel R, et al. Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions. Sensors. 2020;20(7). doi:10.3390/s20072099","chicago":"Hoffmann, Martin W., Stephan Wildermuth, Ralf Gitzel, Aydin Boyaci, Jörg Gebhardt, Holger Kaul, Ido Amihai, et al. “Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions.” Sensors 20, no. 7 (2020). https://doi.org/10.3390/s20072099.","ieee":"M. W. Hoffmann et al., “Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions,” Sensors, vol. 20, no. 7, Art. no. 2099, 2020, doi: 10.3390/s20072099.","short":"M.W. Hoffmann, S. Wildermuth, R. Gitzel, A. Boyaci, J. Gebhardt, H. Kaul, I. Amihai, B. Forg, M. Suriyah, T. Leibfried, V. Stich, J. Hicking, M. Bremer, L. Kaminski, D. Beverungen, P. zur Heiden, T. Tornede, Sensors 20 (2020)."},"type":"journal_article","year":"2020","_id":"35723","intvolume":" 20","issue":"7","article_number":"2099","publication":"Sensors","keyword":["Electrical and Electronic Engineering","Biochemistry","Instrumentation","Atomic and Molecular Physics","and Optics","Analytical Chemistry"],"author":[{"last_name":"Hoffmann","first_name":"Martin W.","full_name":"Hoffmann, Martin W."},{"full_name":"Wildermuth, Stephan","first_name":"Stephan","last_name":"Wildermuth"},{"last_name":"Gitzel","full_name":"Gitzel, Ralf","first_name":"Ralf"},{"last_name":"Boyaci","first_name":"Aydin","full_name":"Boyaci, Aydin"},{"first_name":"Jörg","full_name":"Gebhardt, Jörg","last_name":"Gebhardt"},{"first_name":"Holger","full_name":"Kaul, Holger","last_name":"Kaul"},{"last_name":"Amihai","full_name":"Amihai, Ido","first_name":"Ido"},{"first_name":"Bodo","full_name":"Forg, Bodo","last_name":"Forg"},{"first_name":"Michael","full_name":"Suriyah, Michael","last_name":"Suriyah"},{"first_name":"Thomas","full_name":"Leibfried, Thomas","last_name":"Leibfried"},{"last_name":"Stich","first_name":"Volker","full_name":"Stich, Volker"},{"full_name":"Hicking, Jan","first_name":"Jan","last_name":"Hicking"},{"first_name":"Martin","full_name":"Bremer, Martin","last_name":"Bremer"},{"first_name":"Lars","full_name":"Kaminski, Lars","last_name":"Kaminski"},{"first_name":"Daniel","full_name":"Beverungen, Daniel","last_name":"Beverungen","id":"59677"},{"first_name":"Philipp","full_name":"zur Heiden, Philipp","last_name":"zur Heiden","id":"64394"},{"first_name":"Tanja","full_name":"Tornede, Tanja","last_name":"Tornede"}],"publisher":"MDPI AG","date_created":"2023-01-10T09:39:14Z","status":"public","volume":20,"abstract":[{"text":"The development of renewable energies and smart mobility has profoundly impacted the future of the distribution grid. An increasing bidirectional energy flow stresses the assets of the distribution grid, especially medium voltage switchgear. This calls for improved maintenance strategies to prevent critical failures. Predictive maintenance, a maintenance strategy relying on current condition data of assets, serves as a guideline. Novel sensors covering thermal, mechanical, and partial discharge aspects of switchgear, enable continuous condition monitoring of some of the most critical assets of the distribution grid. Combined with machine learning algorithms, the demands put on the distribution grid by the energy and mobility revolutions can be handled. In this paper, we review the current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear. Furthermore, we present an approach to develop a predictive maintenance system based on novel sensors and machine learning. We show how the existing medium voltage grid infrastructure can adapt these new needs on an economic scale.","lang":"eng"}],"user_id":"21671","language":[{"iso":"eng"}],"date_updated":"2023-01-10T09:53:13Z","doi":"10.3390/s20072099","department":[{"_id":"526"}],"publication_status":"published","publication_identifier":{"issn":["1424-8220"]},"title":"Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions"}]