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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} }","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. 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Systematizing the lexicon of platforms in information systems: a data-driven study. <i>Electronic Markets</i>. 2022;32:375-396. doi:<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>","ieee":"C. Bartelheimer, P. zur Heiden, H. Lüttenberg, and D. Beverungen, “Systematizing the lexicon of platforms in information systems: a data-driven study,” <i>Electronic Markets</i>, vol. 32, pp. 375–396, 2022, doi: <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>.","chicago":"Bartelheimer, Christian, Philipp zur Heiden, Hedda Lüttenberg, and Daniel Beverungen. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” <i>Electronic Markets</i> 32 (2022): 375–96. <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">https://doi.org/10.1007/s12525-022-00530-6</a>.","apa":"Bartelheimer, C., zur Heiden, P., Lüttenberg, H., &#38; Beverungen, D. (2022). Systematizing the lexicon of platforms in information systems: a data-driven study. <i>Electronic Markets</i>, <i>32</i>, 375–396. <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">https://doi.org/10.1007/s12525-022-00530-6</a>","mla":"Bartelheimer, Christian, et al. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” <i>Electronic Markets</i>, vol. 32, Springer Science and Business Media LLC, 2022, pp. 375–96, doi:<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>.","short":"C. Bartelheimer, P. zur Heiden, H. Lüttenberg, D. Beverungen, Electronic Markets 32 (2022) 375–396.","bibtex":"@article{Bartelheimer_zur Heiden_Lüttenberg_Beverungen_2022, title={Systematizing the lexicon of platforms in information systems: a data-driven study}, volume={32}, DOI={<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>}, 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} }"},"date_updated":"2024-04-18T12:40:34Z","volume":32,"author":[{"last_name":"Bartelheimer","full_name":"Bartelheimer, Christian","id":"49160","first_name":"Christian"},{"first_name":"Philipp","last_name":"zur Heiden","id":"64394","full_name":"zur Heiden, Philipp"},{"full_name":"Lüttenberg, Hedda","last_name":"Lüttenberg","first_name":"Hedda"},{"last_name":"Beverungen","id":"59677","full_name":"Beverungen, Daniel","first_name":"Daniel"}],"doi":"10.1007/s12525-022-00530-6","type":"journal_article","status":"public","_id":"35732","department":[{"_id":"526"}],"user_id":"59677","article_type":"original","file_date_updated":"2024-04-18T12:39:00Z","quality_controlled":"1","year":"2022","publisher":"Springer Science and Business Media LLC","date_created":"2023-01-10T10:00:55Z","title":"Systematizing the lexicon of platforms in information systems: a data-driven study","publication":"Electronic Markets","abstract":[{"text":"While 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.","lang":"eng"}],"file":[{"relation":"main_file","success":1,"content_type":"application/pdf","access_level":"closed","file_name":"EM - Lexicon of Platform Terms.pdf","file_id":"53573","file_size":1262427,"creator":"dabe","date_created":"2024-04-18T12:39:00Z","date_updated":"2024-04-18T12:39:00Z"}],"keyword":["Platform","Text mining","Machine learning","Data communications","Interpretive research","Systems design and implementation"],"ddc":["380"],"language":[{"iso":"eng"}]},{"user_id":"49160","_id":"30735","language":[{"iso":"eng"}],"keyword":["Management of Technology and Innovation","Marketing","Computer Science Applications","Economics and Econometrics","Business and International Management"],"publication":"Electronic Markets","type":"journal_article","status":"public","abstract":[{"text":"While 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.","lang":"eng"}],"author":[{"last_name":"Bartelheimer","id":"49160","full_name":"Bartelheimer, Christian","first_name":"Christian"},{"first_name":"Philipp","last_name":"zur Heiden","full_name":"zur Heiden, Philipp","id":"64394"},{"full_name":"Lüttenberg, Hedda","id":"60612","last_name":"Lüttenberg","first_name":"Hedda"},{"last_name":"Beverungen","full_name":"Beverungen, Daniel","id":"59677","first_name":"Daniel"}],"date_created":"2022-04-04T10:01:11Z","date_updated":"2024-11-11T09:51:01Z","publisher":"Springer Science and Business Media LLC","doi":"10.1007/s12525-022-00530-6","title":"Systematizing the lexicon of platforms in information systems: a data-driven study","publication_identifier":{"issn":["1019-6781","1422-8890"]},"publication_status":"published","citation":{"ieee":"C. Bartelheimer, P. zur Heiden, H. Lüttenberg, and D. Beverungen, “Systematizing the lexicon of platforms in information systems: a data-driven study,” <i>Electronic Markets</i>, 2022, doi: <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>.","chicago":"Bartelheimer, Christian, Philipp zur Heiden, Hedda Lüttenberg, and Daniel Beverungen. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” <i>Electronic Markets</i>, 2022. <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">https://doi.org/10.1007/s12525-022-00530-6</a>.","ama":"Bartelheimer C, zur Heiden P, Lüttenberg H, Beverungen D. Systematizing the lexicon of platforms in information systems: a data-driven study. <i>Electronic Markets</i>. Published online 2022. doi:<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>","apa":"Bartelheimer, C., zur Heiden, P., Lüttenberg, H., &#38; Beverungen, D. (2022). Systematizing the lexicon of platforms in information systems: a data-driven study. <i>Electronic Markets</i>. <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">https://doi.org/10.1007/s12525-022-00530-6</a>","bibtex":"@article{Bartelheimer_zur Heiden_Lüttenberg_Beverungen_2022, title={Systematizing the lexicon of platforms in information systems: a data-driven study}, DOI={<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>}, 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} }","mla":"Bartelheimer, Christian, et al. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” <i>Electronic Markets</i>, Springer Science and Business Media LLC, 2022, doi:<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>.","short":"C. Bartelheimer, P. zur Heiden, H. Lüttenberg, D. Beverungen, Electronic Markets (2022)."},"year":"2022"},{"status":"public","editor":[{"first_name":"Michael H.","full_name":"Breitner, Michael H.","last_name":"Breitner"},{"last_name":"Lehnhoff","full_name":"Lehnhoff, Sebastian","first_name":"Sebastian"},{"first_name":"Astrid","last_name":"Nieße","full_name":"Nieße, Astrid"},{"first_name":"Philipp","last_name":"Staudt","full_name":"Staudt, Philipp"},{"full_name":"Weinhardt, Christof","last_name":"Weinhardt","first_name":"Christof"},{"last_name":"Werth","full_name":"Werth, Oliver","first_name":"Oliver"}],"type":"conference","publication":"Pre-Conference 16th International Congress on Wirtschaftsinformatik at Universität Duisburg-Essen","language":[{"iso":"eng"}],"user_id":"64394","department":[{"_id":"195"}],"_id":"24534","citation":{"chicago":"Heiden, Philipp zur, and Jennifer Priefer. “Transitioning to Condition-Based Maintenance on the Distribution Grid: Deriving Design Principles from a Qualitative Study.” In <i>Pre-Conference 16th International Congress on Wirtschaftsinformatik at Universität Duisburg-Essen</i>, 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.","ieee":"P. zur Heiden and J. Priefer, “Transitioning to Condition-Based Maintenance on the Distribution Grid: Deriving Design Principles from a Qualitative Study,” in <i>Pre-Conference 16th International Congress on Wirtschaftsinformatik at Universität Duisburg-Essen</i>, Universität Duisburg-Essen, 2021.","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. <i>Pre-Conference 16th International Congress on Wirtschaftsinformatik at Universität Duisburg-Essen</i>. BIS-Verlag der Carl von Ossietzky Universität 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} }","short":"P. zur Heiden, J. Priefer, in: M.H. Breitner, S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, O. 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Discovering Geographical Patterns of Retailers’ Locations for Successful Retail in City Centers. In: <i>Proceedings of the 16th International Conference on Wirtschaftsinformatik</i>. ; 2021.","chicago":"Heiden, Philipp zur, and Daniel Winter. “Discovering Geographical Patterns of Retailers’ Locations for Successful Retail in City Centers.” In <i>Proceedings of the 16th International Conference on Wirtschaftsinformatik</i>, 2021.","ieee":"P. zur Heiden and D. Winter, “Discovering Geographical Patterns of Retailers’ Locations for Successful Retail in City Centers,” in <i>Proceedings of the 16th International Conference on Wirtschaftsinformatik</i>, 2021.","apa":"zur Heiden, P., &#38; Winter, D. (2021). Discovering Geographical Patterns of Retailers’ Locations for Successful Retail in City Centers. In <i>Proceedings of the 16th International Conference on Wirtschaftsinformatik</i>.","short":"P. zur Heiden, D. Winter, in: Proceedings of the 16th International Conference on Wirtschaftsinformatik, 2021.","mla":"zur Heiden, Philipp, and Daniel Winter. “Discovering Geographical Patterns of Retailers’ Locations for Successful Retail in City Centers.” <i>Proceedings of the 16th International Conference on Wirtschaftsinformatik</i>, 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} }"},"year":"2021"},{"_id":"17426","user_id":"40795","article_number":"2099","language":[{"iso":"eng"}],"type":"journal_article","publication":"Sensors","abstract":[{"lang":"eng","text":"<jats:p>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.</jats:p>"}],"status":"public","date_updated":"2022-01-06T06:53:11Z","oa":"1","date_created":"2020-07-28T09:47:36Z","author":[{"first_name":"Martin W.","last_name":"Hoffmann","full_name":"Hoffmann, Martin W."},{"last_name":"Wildermuth","full_name":"Wildermuth, Stephan","first_name":"Stephan"},{"first_name":"Ralf","full_name":"Gitzel, Ralf","last_name":"Gitzel"},{"first_name":"Aydin","full_name":"Boyaci, Aydin","last_name":"Boyaci"},{"first_name":"Jörg","full_name":"Gebhardt, Jörg","last_name":"Gebhardt"},{"last_name":"Kaul","full_name":"Kaul, Holger","first_name":"Holger"},{"full_name":"Amihai, Ido","last_name":"Amihai","first_name":"Ido"},{"full_name":"Forg, Bodo","last_name":"Forg","first_name":"Bodo"},{"last_name":"Suriyah","full_name":"Suriyah, Michael","first_name":"Michael"},{"full_name":"Leibfried, Thomas","last_name":"Leibfried","first_name":"Thomas"},{"first_name":"Volker","full_name":"Stich, Volker","last_name":"Stich"},{"full_name":"Hicking, Jan","last_name":"Hicking","first_name":"Jan"},{"first_name":"Martin","full_name":"Bremer, Martin","last_name":"Bremer"},{"last_name":"Kaminski","full_name":"Kaminski, Lars","first_name":"Lars"},{"last_name":"Beverungen","full_name":"Beverungen, Daniel","id":"59677","first_name":"Daniel"},{"first_name":"Philipp","last_name":"zur Heiden","full_name":"zur Heiden, Philipp","id":"64394"},{"id":"40795","full_name":"Tornede, Tanja","last_name":"Tornede","first_name":"Tanja"}],"title":"Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions","main_file_link":[{"url":"https://www.mdpi.com/1424-8220/20/7/2099","open_access":"1"}],"doi":"10.3390/s20072099","publication_status":"published","publication_identifier":{"issn":["1424-8220"]},"year":"2020","citation":{"ieee":"M. W. Hoffmann <i>et al.</i>, “Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions,” <i>Sensors</i>, 2020.","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.” <i>Sensors</i>, 2020. <a href=\"https://doi.org/10.3390/s20072099\">https://doi.org/10.3390/s20072099</a>.","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. <i>Sensors</i>. 2020. doi:<a href=\"https://doi.org/10.3390/s20072099\">10.3390/s20072099</a>","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={<a href=\"https://doi.org/10.3390/s20072099\">10.3390/s20072099</a>}, 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.” <i>Sensors</i>, 2099, 2020, doi:<a href=\"https://doi.org/10.3390/s20072099\">10.3390/s20072099</a>.","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).","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. <i>Sensors</i>. <a href=\"https://doi.org/10.3390/s20072099\">https://doi.org/10.3390/s20072099</a>"}},{"conference":{"name":"Twenty-Eighth European Conference on Information Systems (ECIS2020)","location":"Virtual Conference"},"title":"Usage of Local Online Platforms in Retail: Insights from retailers' expectations expectations","date_created":"2020-06-09T09:10:56Z","author":[{"first_name":"Carsten Ingo","last_name":"Berendes","full_name":"Berendes, Carsten Ingo","id":"53344"},{"full_name":"zur Heiden, Philipp","id":"64394","last_name":"zur Heiden","first_name":"Philipp"},{"first_name":"Marco","full_name":"Niemann, Marco","last_name":"Niemann"},{"first_name":"Benedikt","full_name":"Hoffmeister, Benedikt","last_name":"Hoffmeister"},{"full_name":"Becker, Jörg","last_name":"Becker","first_name":"Jörg"}],"date_updated":"2022-01-06T06:53:04Z","citation":{"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: <i>Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020)</i>. ; 2020.","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 <i>Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020)</i>, Virtual Conference, 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 <i>Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020)</i>, 2020.","mla":"Berendes, Carsten Ingo, et al. “Usage of Local Online Platforms in Retail: Insights from Retailers’ Expectations Expectations.” <i>Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020)</i>, 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} }","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.","apa":"Berendes, C. I., zur Heiden, P., Niemann, M., Hoffmeister, B., &#38; Becker, J. (2020). Usage of Local Online Platforms in Retail: Insights from retailers’ expectations expectations. In <i>Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020)</i>. Virtual Conference."},"year":"2020","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"}]},"language":[{"iso":"eng"}],"department":[{"_id":"526"}],"user_id":"64394","_id":"17087","project":[{"_id":"35","name":"​Interaktive Einkaufserlebnisse in Innenstädten durch digitale Dienstleistungen","grant_number":"​02K15A073"}],"status":"public","publication":"Proceedings of the Twenty-Eighth European Conference on Information Systems (ECIS2020)","type":"conference"},{"user_id":"64394","department":[{"_id":"526"}],"project":[{"grant_number":"​02K15A073","_id":"35","name":"​Interaktive Einkaufserlebnisse in Innenstädten durch digitale Dienstleistungen"}],"_id":"16285","file_date_updated":"2020-03-13T06:58:54Z","type":"conference","status":"public","author":[{"first_name":"Philipp","id":"64394","full_name":"zur Heiden, Philipp","last_name":"zur Heiden"},{"first_name":"Carsten Ingo","last_name":"Berendes","id":"53344","full_name":"Berendes, Carsten Ingo"},{"last_name":"Beverungen","full_name":"Beverungen, Daniel","id":"59677","first_name":"Daniel"}],"date_updated":"2022-01-06T06:52:48Z","oa":"1","main_file_link":[{"open_access":"1","url":"https://library.gito.de/open-access-pdf/E1_City_recommendations_Master_final.pdf"}],"conference":{"start_date":"2020-03-07","name":"15th International Conference on Wirtschaftsinformatik","location":"Potsdam","end_date":"2020-03-11"},"doi":"doi.org/10.30844/wi_2020_e1-heiden","publication_status":"published","has_accepted_license":"1","citation":{"chicago":"Heiden, Philipp zur, Carsten Ingo Berendes, and Daniel Beverungen. “Designing City Center Area Recommendation Systems .” In <i>Proceedings of the 15th International Conference on Wirtschaftsinformatik</i>. Potsdam, 2020. <a href=\"https://doi.org/doi.org/10.30844/wi_2020_e1-heiden\">https://doi.org/doi.org/10.30844/wi_2020_e1-heiden</a>.","ieee":"P. zur Heiden, C. I. Berendes, and D. Beverungen, “Designing City Center Area Recommendation Systems ,” in <i>Proceedings of the 15th International Conference on Wirtschaftsinformatik</i>, Potsdam, 2020.","ama":"zur Heiden P, Berendes CI, Beverungen D. Designing City Center Area Recommendation Systems . In: <i>Proceedings of the 15th International Conference on Wirtschaftsinformatik</i>. Potsdam; 2020. doi:<a href=\"https://doi.org/doi.org/10.30844/wi_2020_e1-heiden\">doi.org/10.30844/wi_2020_e1-heiden</a>","bibtex":"@inproceedings{zur Heiden_Berendes_Beverungen_2020, place={Potsdam}, title={Designing City Center Area Recommendation Systems }, DOI={<a href=\"https://doi.org/doi.org/10.30844/wi_2020_e1-heiden\">doi.org/10.30844/wi_2020_e1-heiden</a>}, 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 .” <i>Proceedings of the 15th International Conference on Wirtschaftsinformatik</i>, 2020, doi:<a href=\"https://doi.org/doi.org/10.30844/wi_2020_e1-heiden\">doi.org/10.30844/wi_2020_e1-heiden</a>.","short":"P. zur Heiden, C.I. Berendes, D. Beverungen, in: Proceedings of the 15th International Conference on Wirtschaftsinformatik, Potsdam, 2020.","apa":"zur Heiden, P., Berendes, C. I., &#38; Beverungen, D. (2020). Designing City Center Area Recommendation Systems . In <i>Proceedings of the 15th International Conference on Wirtschaftsinformatik</i>. Potsdam. <a href=\"https://doi.org/doi.org/10.30844/wi_2020_e1-heiden\">https://doi.org/doi.org/10.30844/wi_2020_e1-heiden</a>"},"place":"Potsdam","language":[{"iso":"eng"}],"ddc":["000"],"keyword":["Town Center Management","High Street Retail","Recommender Systems","Geospatial Recommendations","Design Science Research"],"publication":"Proceedings of the 15th International Conference on Wirtschaftsinformatik","file":[{"relation":"main_file","success":1,"content_type":"application/pdf","access_level":"closed","file_name":"E1_City_recommendations_Master_final.pdf","file_id":"16286","file_size":1370273,"date_created":"2020-03-13T06:58:54Z","creator":"pzh","date_updated":"2020-03-13T06:58:54Z"}],"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."}],"date_created":"2020-03-13T07:05:24Z","title":"Designing City Center Area Recommendation Systems ","quality_controlled":"1","year":"2020"},{"doi":"10.3390/s20072099","title":"Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions","author":[{"first_name":"Martin W.","full_name":"Hoffmann, Martin W.","last_name":"Hoffmann"},{"first_name":"Stephan","last_name":"Wildermuth","full_name":"Wildermuth, Stephan"},{"first_name":"Ralf","full_name":"Gitzel, Ralf","last_name":"Gitzel"},{"first_name":"Aydin","last_name":"Boyaci","full_name":"Boyaci, Aydin"},{"full_name":"Gebhardt, Jörg","last_name":"Gebhardt","first_name":"Jörg"},{"last_name":"Kaul","full_name":"Kaul, Holger","first_name":"Holger"},{"first_name":"Ido","full_name":"Amihai, Ido","last_name":"Amihai"},{"full_name":"Forg, Bodo","last_name":"Forg","first_name":"Bodo"},{"full_name":"Suriyah, Michael","last_name":"Suriyah","first_name":"Michael"},{"full_name":"Leibfried, Thomas","last_name":"Leibfried","first_name":"Thomas"},{"first_name":"Volker","full_name":"Stich, Volker","last_name":"Stich"},{"first_name":"Jan","last_name":"Hicking","full_name":"Hicking, Jan"},{"first_name":"Martin","last_name":"Bremer","full_name":"Bremer, Martin"},{"first_name":"Lars","full_name":"Kaminski, Lars","last_name":"Kaminski"},{"last_name":"Beverungen","full_name":"Beverungen, Daniel","id":"59677","first_name":"Daniel"},{"full_name":"zur Heiden, Philipp","id":"64394","last_name":"zur Heiden","first_name":"Philipp"},{"last_name":"Tornede","full_name":"Tornede, Tanja","first_name":"Tanja"}],"date_created":"2023-01-10T09:39:14Z","volume":20,"date_updated":"2023-01-10T09:53:13Z","publisher":"MDPI AG","citation":{"ieee":"M. W. Hoffmann <i>et al.</i>, “Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions,” <i>Sensors</i>, vol. 20, no. 7, Art. no. 2099, 2020, doi: <a href=\"https://doi.org/10.3390/s20072099\">10.3390/s20072099</a>.","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.” <i>Sensors</i> 20, no. 7 (2020). <a href=\"https://doi.org/10.3390/s20072099\">https://doi.org/10.3390/s20072099</a>.","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. <i>Sensors</i>. 2020;20(7). doi:<a href=\"https://doi.org/10.3390/s20072099\">10.3390/s20072099</a>","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.” <i>Sensors</i>, vol. 20, no. 7, 2099, MDPI AG, 2020, doi:<a href=\"https://doi.org/10.3390/s20072099\">10.3390/s20072099</a>.","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={<a href=\"https://doi.org/10.3390/s20072099\">10.3390/s20072099</a>}, 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} }","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).","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., &#38; Tornede, T. (2020). Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions. <i>Sensors</i>, <i>20</i>(7), Article 2099. <a href=\"https://doi.org/10.3390/s20072099\">https://doi.org/10.3390/s20072099</a>"},"intvolume":"        20","year":"2020","issue":"7","publication_status":"published","publication_identifier":{"issn":["1424-8220"]},"language":[{"iso":"eng"}],"article_number":"2099","keyword":["Electrical and Electronic Engineering","Biochemistry","Instrumentation","Atomic and Molecular Physics","and Optics","Analytical Chemistry"],"user_id":"21671","department":[{"_id":"526"}],"_id":"35723","status":"public","abstract":[{"text":"<jats:p>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.</jats:p>","lang":"eng"}],"type":"journal_article","publication":"Sensors"}]