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Dumitrescu, “Scenario-based Foresight in the Age of Digitalization and Artificial Intelligence – Identification and Analysis of Existing Use Cases,” <i>Procedia CIRP</i>, vol. 119, pp. 740–745, 2023, doi: <a href=\"https://doi.org/10.1016/j.procir.2023.01.015\">10.1016/j.procir.2023.01.015</a>.","chicago":"Ködding, Patrick, Kai Ellermann, Christian Koldewey, and Roman Dumitrescu. “Scenario-Based Foresight in the Age of Digitalization and Artificial Intelligence – Identification and Analysis of Existing Use Cases.” <i>Procedia CIRP</i> 119 (2023): 740–45. <a href=\"https://doi.org/10.1016/j.procir.2023.01.015\">https://doi.org/10.1016/j.procir.2023.01.015</a>.","bibtex":"@article{Ködding_Ellermann_Koldewey_Dumitrescu_2023, title={Scenario-based Foresight in the Age of Digitalization and Artificial Intelligence – Identification and Analysis of Existing Use Cases}, volume={119}, DOI={<a href=\"https://doi.org/10.1016/j.procir.2023.01.015\">10.1016/j.procir.2023.01.015</a>}, journal={Procedia CIRP}, publisher={Elsevier BV}, author={Ködding, Patrick and Ellermann, Kai and Koldewey, Christian and Dumitrescu, Roman}, year={2023}, pages={740–745} }","mla":"Ködding, Patrick, et al. “Scenario-Based Foresight in the Age of Digitalization and Artificial Intelligence – Identification and Analysis of Existing Use Cases.” <i>Procedia CIRP</i>, vol. 119, Elsevier BV, 2023, pp. 740–45, doi:<a href=\"https://doi.org/10.1016/j.procir.2023.01.015\">10.1016/j.procir.2023.01.015</a>.","short":"P. Ködding, K. Ellermann, C. Koldewey, R. Dumitrescu, Procedia CIRP 119 (2023) 740–745."},"publication_status":"published","department":[{"_id":"563"}],"author":[{"last_name":"Ködding","id":"45402","full_name":"Ködding, Patrick","first_name":"Patrick"},{"last_name":"Ellermann","first_name":"Kai","full_name":"Ellermann, Kai"},{"last_name":"Koldewey","id":"43136","first_name":"Christian","full_name":"Koldewey, Christian","orcid":"https://orcid.org/0000-0001-7992-6399"},{"last_name":"Dumitrescu","id":"16190","first_name":"Roman","full_name":"Dumitrescu, Roman"}],"intvolume":"       119","_id":"47835","date_updated":"2024-04-25T08:30:26Z","date_created":"2023-10-06T12:39:17Z","publisher":"Elsevier BV","year":"2023","publication_identifier":{"issn":["2212-8271"]},"language":[{"iso":"eng"}],"status":"public","user_id":"15782","keyword":["General Medicine"],"title":"Scenario-based Foresight in the Age of Digitalization and Artificial Intelligence – Identification and Analysis of Existing Use Cases","doi":"10.1016/j.procir.2023.01.015","page":"740-745","volume":119,"publication":"Procedia CIRP","type":"journal_article"},{"_id":"54286","date_updated":"2024-05-14T10:35:29Z","date_created":"2024-05-14T10:32:05Z","publication":"Artificial Intelligence, Social Computing and Wearable Technologies","publisher":"AHFE International","language":[{"iso":"eng"}],"year":"2023","publication_identifier":{"issn":["2771-0718"]},"type":"conference","status":"public","citation":{"mla":"Lick, Jonas, et al. “Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach.” <i>Artificial Intelligence, Social Computing and Wearable Technologies</i>, AHFE International, 2023, doi:<a href=\"https://doi.org/10.54941/ahfe1004185\">10.54941/ahfe1004185</a>.","apa":"Lick, J., Wohlers, B., Sahrhage, P., Schreckenberg, F., Klöckner, S., Von Enzberg, S., Kühn, A., &#38; Dumitrescu, R. (2023). Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach. <i>Artificial Intelligence, Social Computing and Wearable Technologies</i>. <a href=\"https://doi.org/10.54941/ahfe1004185\">https://doi.org/10.54941/ahfe1004185</a>","bibtex":"@inproceedings{Lick_Wohlers_Sahrhage_Schreckenberg_Klöckner_Von Enzberg_Kühn_Dumitrescu_2023, title={Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach}, DOI={<a href=\"https://doi.org/10.54941/ahfe1004185\">10.54941/ahfe1004185</a>}, booktitle={Artificial Intelligence, Social Computing and Wearable Technologies}, publisher={AHFE International}, author={Lick, Jonas and Wohlers, Benedict and Sahrhage, Philipp and Schreckenberg, Felix and Klöckner, Susanne and Von Enzberg, Sebastian and Kühn, Arno and Dumitrescu, Roman}, year={2023} }","ama":"Lick J, Wohlers B, Sahrhage P, et al. Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach. In: <i>Artificial Intelligence, Social Computing and Wearable Technologies</i>. AHFE International; 2023. doi:<a href=\"https://doi.org/10.54941/ahfe1004185\">10.54941/ahfe1004185</a>","short":"J. Lick, B. Wohlers, P. Sahrhage, F. Schreckenberg, S. Klöckner, S. Von Enzberg, A. Kühn, R. Dumitrescu, in: Artificial Intelligence, Social Computing and Wearable Technologies, AHFE International, 2023.","chicago":"Lick, Jonas, Benedict Wohlers, Philipp Sahrhage, Felix Schreckenberg, Susanne Klöckner, Sebastian Von Enzberg, Arno Kühn, and Roman Dumitrescu. “Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach.” In <i>Artificial Intelligence, Social Computing and Wearable Technologies</i>. AHFE International, 2023. <a href=\"https://doi.org/10.54941/ahfe1004185\">https://doi.org/10.54941/ahfe1004185</a>.","ieee":"J. Lick <i>et al.</i>, “Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach,” 2023, doi: <a href=\"https://doi.org/10.54941/ahfe1004185\">10.54941/ahfe1004185</a>."},"publication_status":"published","user_id":"102490","title":"Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach","author":[{"last_name":"Lick","first_name":"Jonas","full_name":"Lick, Jonas"},{"last_name":"Wohlers","full_name":"Wohlers, Benedict","first_name":"Benedict"},{"last_name":"Sahrhage","first_name":"Philipp","full_name":"Sahrhage, Philipp"},{"last_name":"Schreckenberg","first_name":"Felix","full_name":"Schreckenberg, Felix"},{"full_name":"Klöckner, Susanne","first_name":"Susanne","last_name":"Klöckner"},{"last_name":"Von Enzberg","full_name":"Von Enzberg, Sebastian","first_name":"Sebastian"},{"last_name":"Kühn","first_name":"Arno","full_name":"Kühn, Arno"},{"full_name":"Dumitrescu, Roman","first_name":"Roman","last_name":"Dumitrescu","id":"16190"}],"doi":"10.54941/ahfe1004185","abstract":[{"lang":"eng","text":"<jats:p>The integration of Artificial Intelligence (AI) techniques into various domains has revolutionized numerous industries, and Supply Chain Management (SCM) is no exception. This paper addresses the challenges encountered in SCM and the development of AI solutions within this context. Specifically, we focus on the application of AI in optimizing supply chain planning tasks. This includes forecasting demand, availability and feasibility checks for customer orders, supply chain network design and information flow inside the supply chain planning processes.  However, the successful implementation of AI in SCM requires a deep understanding of both the domain-specific challenges and the capabilities and limitations of AI technologies. Thus, this paper proposes an overarching approach that facilitates collaboration between domain experts in SCM and AI experts, enabling them to jointly develop effective solutions.The paper begins by outlining the key challenges faced by SCM professionals, including demand volatility, complexities in inventory management, and dynamic market conditions. Subsequently, it delves into the challenges associated with developing AI solutions for SCM, including data quality, interpretability, and model transparency. To address these challenges, the proposed approach promotes close collaboration and knowledge exchange between SCM and AI experts. By leveraging the domain knowledge and experience of SCM experts, AI experts  can better understand the special issues of SCM processes and tailor AI techniques to suit specific needs. In turn, SCM experts can gain insights into the capabilities and limitations of AI, allowing them to make informed decisions regarding the adoption and integration of AI in their supply chain planning operations. Furthermore, the paper discusses the importance of establishing a multidisciplinary team comprising experts from the fields of SCM, AI, and IT.   This team-based approach fosters a holistic understanding of SCM challenges and ensures the development of AI solutions that align with business goals and practical constraints.In conclusion, this paper highlights the challenges in combining SCM and AI and proposes a collaborative approach to address these challenges effectively. By leveraging the expertise of both domain and AI experts, organizations can develop tailored AI solutions that enhance supply chain planning, improve decision-making processes, and drive competitive advantage. The proposed approach contributes to the successful integration of AI in SCM, ultimately leading to more efficient and resilient supply chains in the era of artificial intelligence.</jats:p>"}]},{"department":[{"_id":"563"}],"citation":{"chicago":"Lick, Jonas, Felix Schreckenberg, Philipp  Sahrhage, Benedict Wohlers, Susanne Klöcker,  Sebastian  von Enzberg,  Arno Kühn, and Roman Dumitrescu. “Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach.” In <i>Artificial Intelligence, Social Computing and Wearable Technologies, Vol. 113</i>, edited by Waldemar  Karwowsk and Tareq  Ahram, 2023.","short":"J. Lick, F. Schreckenberg, P. Sahrhage, B. Wohlers, S. Klöcker,  Sebastian  von Enzberg,  Arno Kühn, R. Dumitrescu, in: W. Karwowsk, T. Ahram (Eds.), Artificial Intelligence, Social Computing and Wearable Technologies, Vol. 113, 2023.","ieee":"J. Lick <i>et al.</i>, “Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach,” in <i>Artificial Intelligence, Social Computing and Wearable Technologies, Vol. 113</i>, Hawaii, 2023.","mla":"Lick, Jonas, et al. “Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach.” <i>Artificial Intelligence, Social Computing and Wearable Technologies, Vol. 113</i>, edited by Waldemar  Karwowsk and Tareq  Ahram, 2023.","bibtex":"@inproceedings{Lick_Schreckenberg_Sahrhage_Wohlers_Klöcker_von Enzberg_Kühn_Dumitrescu_2023, title={Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach}, booktitle={Artificial Intelligence, Social Computing and Wearable Technologies, Vol. 113}, author={Lick, Jonas and Schreckenberg, Felix and Sahrhage, Philipp  and Wohlers, Benedict and Klöcker, Susanne and von Enzberg,  Sebastian  and Kühn,  Arno and Dumitrescu, Roman}, editor={Karwowsk, Waldemar  and Ahram, Tareq }, year={2023} }","ama":"Lick J, Schreckenberg F, Sahrhage P, et al. Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach. In: Karwowsk W, Ahram T, eds. <i>Artificial Intelligence, Social Computing and Wearable Technologies, Vol. 113</i>. ; 2023.","apa":"Lick, J., Schreckenberg, F., Sahrhage, P., Wohlers, B., Klöcker, S., von Enzberg,  Sebastian , Kühn,  Arno, &#38; Dumitrescu, R. (2023). Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach. In W. Karwowsk &#38; T. Ahram (Eds.), <i>Artificial Intelligence, Social Computing and Wearable Technologies, Vol. 113</i>."},"user_id":"102490","conference":{"end_date":"2023-12-06","name":"AHFE International","start_date":"2023-12-04","location":"Hawaii"},"title":"Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach","editor":[{"last_name":"Karwowsk","first_name":"Waldemar ","full_name":"Karwowsk, Waldemar "},{"full_name":"Ahram, Tareq ","first_name":"Tareq ","last_name":"Ahram"}],"author":[{"first_name":"Jonas","full_name":"Lick, Jonas","last_name":"Lick"},{"last_name":"Schreckenberg","full_name":"Schreckenberg, Felix","first_name":"Felix"},{"last_name":"Sahrhage","first_name":"Philipp ","full_name":"Sahrhage, Philipp "},{"last_name":"Wohlers","full_name":"Wohlers, Benedict","first_name":"Benedict"},{"full_name":"Klöcker, Susanne","first_name":"Susanne","last_name":"Klöcker"},{"last_name":"von Enzberg","full_name":"von Enzberg,  Sebastian ","first_name":" Sebastian "},{"full_name":"Kühn,  Arno","first_name":" Arno","last_name":"Kühn"},{"full_name":"Dumitrescu, Roman","first_name":"Roman","last_name":"Dumitrescu","id":"16190"}],"date_updated":"2024-05-29T10:57:38Z","_id":"54506","year":"2023","type":"conference","language":[{"iso":"eng"}],"status":"public","publication":"Artificial Intelligence, Social Computing and Wearable Technologies, Vol. 113","date_created":"2024-05-29T10:57:13Z"},{"title":"Engineering und Management von System of Systems–Gestaltungskonzepte im SoS-Engineering","conference":{"name":"Tag des Systems Engineering 2023","location":"Würzburg","start_date":"2023-11-15","end_date":"2023-11-17"},"editor":[{"full_name":"Wilke, Daria","first_name":"Daria","last_name":"Wilke"},{"last_name":"Koch","first_name":"Walter","full_name":"Koch, Walter"},{"last_name":"Kaffenberger","full_name":"Kaffenberger, Rüdiger","first_name":"Rüdiger"},{"full_name":"Dreiseitel, Stefan","first_name":"Stefan","last_name":"Dreiseitel"}],"author":[{"first_name":"Matthias","full_name":"Günther, Matthias","last_name":"Günther"},{"last_name":"Göllner","first_name":"Denis","full_name":"Göllner, Denis"},{"full_name":"Heihoff-Schwede, Jörg","first_name":"Jörg","last_name":"Heihoff-Schwede"},{"full_name":"Anacker, Harald ","first_name":"Harald ","last_name":"Anacker"},{"first_name":"Roman","full_name":"Dumitrescu, Roman","last_name":"Dumitrescu","id":"16190"}],"citation":{"apa":"Günther, M., Göllner, D., Heihoff-Schwede, J., Anacker, H., &#38; Dumitrescu, R. 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Weller <i>et al.</i>, “Towards a systematic approach for Prescriptive Analytics use cases in smart factories,” presented at the ML4CPS – Machine Learning For Cyber-Physical Systems, Hamburg, 2023.","mla":"Weller, Julian, et al. <i>Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories</i>. 2023.","bibtex":"@inproceedings{Weller_Nico Migenda_Rui Liu_Arthur Wegel_Martin Kohlhase_Wolfram Schenck_Sebastian von Enzberg_Dumitrescu_2023, title={Towards a systematic approach for Prescriptive Analytics use cases in smart factories}, author={Weller, Julian and Nico Migenda, Nico Migenda and Rui Liu, Rui Liu and Arthur Wegel, Arthur Wegel and Martin Kohlhase, Martin Kohlhase and Wolfram Schenck, Wolfram Schenck and Sebastian von Enzberg, Sebastian von Enzberg and Dumitrescu, Roman}, year={2023} }","short":"J. Weller, N.M. Nico Migenda, R.L. Rui Liu, A.W. Arthur Wegel, M.K. Martin Kohlhase, W.S. Wolfram Schenck, S. von E. Sebastian von Enzberg, R. 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Sustainability Data Map: Framework for Data-Based Product Carbon Footprinting of Technical Products. In: ; 2023.","apa":"Schreiner, N., Kürpick, C., Kühn, A., &#38; Dumitrescu, R. (2023). <i>Sustainability Data Map: Framework for Data-Based Product Carbon Footprinting of Technical Products</i>. 19th Global Conference on Sustainable Manufacturing, Buenos Aires.","chicago":"Schreiner, Nick, Christian Kürpick, Arno Kühn, and Roman Dumitrescu. “Sustainability Data Map: Framework for Data-Based Product Carbon Footprinting of Technical Products,” 2023.","ieee":"N. Schreiner, C. Kürpick, A. Kühn, and R. 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Gabriel, C. Fechtelpeter, J. Wulf, S. Leßmann, R. Dumitrescu, Transferkonzept eines Kompetenzzentrums der Arbeitsforschung in einer von mittelständischen Unternehmen geprägten Region, 2023.","ama":"Gabriel S, Fechtelpeter, C, Wulf J, Leßmann S, Dumitrescu R. <i>Transferkonzept eines Kompetenzzentrums der Arbeitsforschung in einer von mittelständischen Unternehmen geprägten Region</i>.; 2023.","apa":"Gabriel, S., Fechtelpeter, C., Wulf, J., Leßmann, S., &#38; Dumitrescu, R. (2023). <i>Transferkonzept eines Kompetenzzentrums der Arbeitsforschung in einer von mittelständischen Unternehmen geprägten Region</i>.","chicago":"Gabriel, Stefan, Christian Fechtelpeter, Jessica Wulf, Salome Leßmann, and Roman Dumitrescu. <i>Transferkonzept eines Kompetenzzentrums der Arbeitsforschung in einer von mittelständischen Unternehmen geprägten Region</i>, 2023.","ieee":"S. Gabriel, C. Fechtelpeter, J. Wulf, S. Leßmann, and R. Dumitrescu, <i>Transferkonzept eines Kompetenzzentrums der Arbeitsforschung in einer von mittelständischen Unternehmen geprägten Region</i>. 2023."},"department":[{"_id":"563"}]},{"publisher":"IEEE","publication":"2022 IEEE International Symposium on Systems Engineering (ISSE)","date_created":"2023-01-19T10:39:14Z","status":"public","type":"conference","year":"2023","language":[{"iso":"eng"}],"_id":"37553","date_updated":"2023-01-19T10:43:05Z","author":[{"last_name":"Schrader","full_name":"Schrader, Elena","first_name":"Elena"},{"last_name":"Bernijazov","first_name":"Ruslan","full_name":"Bernijazov, Ruslan"},{"last_name":"Foullois","first_name":"Marc","full_name":"Foullois, Marc"},{"first_name":"Michael","full_name":"Hillebrand, Michael","last_name":"Hillebrand"},{"full_name":"Kaiser, Lydia","first_name":"Lydia","last_name":"Kaiser"},{"full_name":"Dumitrescu, Roman","first_name":"Roman","last_name":"Dumitrescu","id":"16190"}],"title":"Examples of AI-based Assistance Systems in context of Model-Based Systems Engineering","doi":"10.1109/isse54508.2022.10005487","user_id":"15782","publication_status":"published","citation":{"chicago":"Schrader, Elena, Ruslan Bernijazov, Marc Foullois, Michael Hillebrand, Lydia Kaiser, and Roman Dumitrescu. “Examples of AI-Based Assistance Systems in Context of Model-Based Systems Engineering.” In <i>2022 IEEE International Symposium on Systems Engineering (ISSE)</i>. IEEE, 2023. <a href=\"https://doi.org/10.1109/isse54508.2022.10005487\">https://doi.org/10.1109/isse54508.2022.10005487</a>.","short":"E. Schrader, R. Bernijazov, M. Foullois, M. Hillebrand, L. Kaiser, R. Dumitrescu, in: 2022 IEEE International Symposium on Systems Engineering (ISSE), IEEE, 2023.","ieee":"E. Schrader, R. Bernijazov, M. Foullois, M. Hillebrand, L. Kaiser, and R. Dumitrescu, “Examples of AI-based Assistance Systems in context of Model-Based Systems Engineering,” 2023, doi: <a href=\"https://doi.org/10.1109/isse54508.2022.10005487\">10.1109/isse54508.2022.10005487</a>.","mla":"Schrader, Elena, et al. “Examples of AI-Based Assistance Systems in Context of Model-Based Systems Engineering.” <i>2022 IEEE International Symposium on Systems Engineering (ISSE)</i>, IEEE, 2023, doi:<a href=\"https://doi.org/10.1109/isse54508.2022.10005487\">10.1109/isse54508.2022.10005487</a>.","apa":"Schrader, E., Bernijazov, R., Foullois, M., Hillebrand, M., Kaiser, L., &#38; Dumitrescu, R. (2023). Examples of AI-based Assistance Systems in context of Model-Based Systems Engineering. <i>2022 IEEE International Symposium on Systems Engineering (ISSE)</i>. <a href=\"https://doi.org/10.1109/isse54508.2022.10005487\">https://doi.org/10.1109/isse54508.2022.10005487</a>","ama":"Schrader E, Bernijazov R, Foullois M, Hillebrand M, Kaiser L, Dumitrescu R. Examples of AI-based Assistance Systems in context of Model-Based Systems Engineering. In: <i>2022 IEEE International Symposium on Systems Engineering (ISSE)</i>. IEEE; 2023. doi:<a href=\"https://doi.org/10.1109/isse54508.2022.10005487\">10.1109/isse54508.2022.10005487</a>","bibtex":"@inproceedings{Schrader_Bernijazov_Foullois_Hillebrand_Kaiser_Dumitrescu_2023, title={Examples of AI-based Assistance Systems in context of Model-Based Systems Engineering}, DOI={<a href=\"https://doi.org/10.1109/isse54508.2022.10005487\">10.1109/isse54508.2022.10005487</a>}, booktitle={2022 IEEE International Symposium on Systems Engineering (ISSE)}, publisher={IEEE}, author={Schrader, Elena and Bernijazov, Ruslan and Foullois, Marc and Hillebrand, Michael and Kaiser, Lydia and Dumitrescu, Roman}, year={2023} }"},"department":[{"_id":"563"}]},{"conference":{"name":"33rd CIRP Design Conference","location":"Sydney"},"title":"Data-Driven Product Management: A Practitioner-Driven Research Agenda","author":[{"last_name":"Grigoryan","first_name":"Khoren","full_name":"Grigoryan, Khoren"},{"id":"66731","last_name":"Fichtler","first_name":"Timm","full_name":"Fichtler, Timm","orcid":"https://orcid.org/0000-0001-6034-4399"},{"full_name":"Schreiner, Nick","first_name":"Nick","last_name":"Schreiner"},{"last_name":"Rabe","full_name":"Rabe, Martin","first_name":"Martin"},{"full_name":"Panzner, Melina","first_name":"Melina","id":"72658","last_name":"Panzner"},{"full_name":"Kühn, Arno","first_name":"Arno","last_name":"Kühn"},{"first_name":"Roman","full_name":"Dumitrescu, Roman","id":"16190","last_name":"Dumitrescu"},{"orcid":"https://orcid.org/0000-0001-7992-6399","id":"43136","last_name":"Koldewey","full_name":"Koldewey, Christian","first_name":"Christian"}],"abstract":[{"text":"The global megatrends of digitization and sustainability lead to new challenges for the design and management of technical products in industrial companies. Product management - as the bridge between market and company - has the task to absorb and combine the manifold requirements and make the right product-related decisions. In the process, product management is confronted with heterogeneous information, rapidly changing portfolio components, as well as increasing product, and organizational complexity. Combining and utilizing data from different sources, e.g., product usage data and social media data leads to promising potentials to improve the quality of product-related decisions. In this paper, we reinforce the need for data-driven product management as an interdisciplinary field of action. The state of data-driven product management in practice was analyzed by conducting workshops with six manufacturing companies and hosting a focus group meeting with experts from different industries. We investigate the expectations and derive requirements leading us to open research questions, a vision for data-driven product management, and a research agenda to shape future research efforts.","lang":"eng"}],"citation":{"mla":"Grigoryan, Khoren, et al. “Data-Driven Product Management: A Practitioner-Driven Research Agenda.” <i>Procedia CIRP 33</i>, 2023.","bibtex":"@inproceedings{Grigoryan_Fichtler_Schreiner_Rabe_Panzner_Kühn_Dumitrescu_Koldewey_2023, title={Data-Driven Product Management: A Practitioner-Driven Research Agenda}, booktitle={Procedia CIRP 33}, author={Grigoryan, Khoren and Fichtler, Timm and Schreiner, Nick and Rabe, Martin and Panzner, Melina and Kühn, Arno and Dumitrescu, Roman and Koldewey, Christian}, year={2023} }","short":"K. Grigoryan, T. Fichtler, N. Schreiner, M. Rabe, M. Panzner, A. Kühn, R. Dumitrescu, C. Koldewey, in: Procedia CIRP 33, 2023.","ama":"Grigoryan K, Fichtler T, Schreiner N, et al. Data-Driven Product Management: A Practitioner-Driven Research Agenda. In: <i>Procedia CIRP 33</i>. ; 2023.","apa":"Grigoryan, K., Fichtler, T., Schreiner, N., Rabe, M., Panzner, M., Kühn, A., Dumitrescu, R., &#38; Koldewey, C. (2023). Data-Driven Product Management: A Practitioner-Driven Research Agenda. <i>Procedia CIRP 33</i>. 33rd CIRP Design Conference, Sydney.","chicago":"Grigoryan, Khoren, Timm Fichtler, Nick Schreiner, Martin Rabe, Melina Panzner, Arno Kühn, Roman Dumitrescu, and Christian Koldewey. “Data-Driven Product Management: A Practitioner-Driven Research Agenda.” In <i>Procedia CIRP 33</i>, 2023.","ieee":"K. Grigoryan <i>et al.</i>, “Data-Driven Product Management: A Practitioner-Driven Research Agenda,” presented at the 33rd CIRP Design Conference, Sydney, 2023."},"user_id":"66731","keyword":["Product Management","Data Analytics","Data-Driven Design","Product-related data","Lifecycle Data","Tool-support"],"department":[{"_id":"563"},{"_id":"241"}],"publication":"Procedia CIRP 33","date_created":"2023-06-27T13:46:45Z","type":"conference","year":"2023","language":[{"iso":"eng"}],"status":"public","_id":"45793","date_updated":"2023-06-27T13:57:42Z"}]