--- _id: '60583' abstract: - lang: eng text: Assessing and communicating software security has become a crucial concern in the era of digital transformation. As software systems grow more complex and interconnected, it becomes increasingly challenging to effectively evaluate and communicate a product's security status to both technical and non-technical stakeholders. The Software Product Health Assistant (SPHA) is designed to automatically collect and aggregate data from existing expert tools and derive, among other scores, a transparent Security Score. SPHA is designed to present and explain this Security Score to decision-makers to support their responsibilities. In this paper, we demonstrate how to integrate data from SMARAGD (System Modeler for Architectural Risk Assessment and Guidance on Defenses), a safety-informed threat modeling tool, into SPHA to enhance the existing definition of its Security Score. To achieve this, we combine information about known vulnerabilities with architectural and threat data to calculate a realistic risk score for the product in question. author: - first_name: Jan-niclas full_name: Strüwer, Jan-niclas last_name: Strüwer - first_name: Roman full_name: Trentinaglia, Roman id: '49934' last_name: Trentinaglia orcid: 0000-0001-9728-4991 - first_name: Benedict full_name: Wohlers, Benedict id: '53786' last_name: Wohlers - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu citation: ama: 'Strüwer J, Trentinaglia R, Wohlers B, Bodden E, Dumitrescu R. Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis. In: AHFE International. Vol 168. AHFE International; 2025. doi:10.54941/ahfe1006145' apa: 'Strüwer, J., Trentinaglia, R., Wohlers, B., Bodden, E., & Dumitrescu, R. (2025). Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis. AHFE International, 168. https://doi.org/10.54941/ahfe1006145' bibtex: '@inproceedings{Strüwer_Trentinaglia_Wohlers_Bodden_Dumitrescu_2025, title={Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis}, volume={168}, DOI={10.54941/ahfe1006145}, booktitle={AHFE International}, publisher={AHFE International}, author={Strüwer, Jan-niclas and Trentinaglia, Roman and Wohlers, Benedict and Bodden, Eric and Dumitrescu, Roman}, year={2025} }' chicago: 'Strüwer, Jan-niclas, Roman Trentinaglia, Benedict Wohlers, Eric Bodden, and Roman Dumitrescu. “Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis.” In AHFE International, Vol. 168. AHFE International, 2025. https://doi.org/10.54941/ahfe1006145.' ieee: 'J. Strüwer, R. Trentinaglia, B. Wohlers, E. Bodden, and R. Dumitrescu, “Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis,” in AHFE International, 2025, vol. 168, doi: 10.54941/ahfe1006145.' mla: 'Strüwer, Jan-niclas, et al. “Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis.” AHFE International, vol. 168, AHFE International, 2025, doi:10.54941/ahfe1006145.' short: 'J. Strüwer, R. Trentinaglia, B. Wohlers, E. Bodden, R. Dumitrescu, in: AHFE International, AHFE International, 2025.' date_created: 2025-07-10T06:37:42Z date_updated: 2025-07-10T06:39:03Z department: - _id: '241' - _id: '662' doi: 10.54941/ahfe1006145 intvolume: ' 168' language: - iso: eng publication: AHFE International publication_identifier: issn: - 2771-0718 publication_status: published publisher: AHFE International status: public title: 'Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis' type: conference user_id: '49934' volume: 168 year: '2025' ... --- _id: '61969' abstract: - lang: eng text: Assessing and communicating software security has become a crucial concern in the era of digital transformation. As software systems grow more complex and interconnected, it becomes increasingly challenging to effectively evaluate and communicate a product's security status to both technical and non-technical stakeholders. The Software Product Health Assistant (SPHA) is designed to automatically collect and aggregate data from existing expert tools and derive, among other scores, a transparent Security Score. SPHA is designed to present and explain this Security Score to decision-makers to support their responsibilities. In this paper, we demonstrate how to integrate data from SMARAGD (System Modeler for Architectural Risk Assessment and Guidance on Defenses), a safety-informed threat modeling tool, into SPHA to enhance the existing definition of its Security Score. To achieve this, we combine information about known vulnerabilities with architectural and threat data to calculate a realistic risk score for the product in question. author: - first_name: Jan-Niclas full_name: Strüwer, Jan-Niclas last_name: Strüwer - first_name: Roman full_name: Trentinaglia, Roman last_name: Trentinaglia - first_name: Benedict full_name: Wohlers, Benedict last_name: Wohlers - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu citation: ama: 'Strüwer J-N, Trentinaglia R, Wohlers B, Bodden E, Dumitrescu R. Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis. In: AHFE International. Vol 168. AHFE International; 2025. doi:10.54941/ahfe1006145' apa: 'Strüwer, J.-N., Trentinaglia, R., Wohlers, B., Bodden, E., & Dumitrescu, R. (2025). Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis. AHFE International, 168. https://doi.org/10.54941/ahfe1006145' bibtex: '@inproceedings{Strüwer_Trentinaglia_Wohlers_Bodden_Dumitrescu_2025, title={Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis}, volume={168}, DOI={10.54941/ahfe1006145}, booktitle={AHFE International}, publisher={AHFE International}, author={Strüwer, Jan-Niclas and Trentinaglia, Roman and Wohlers, Benedict and Bodden, Eric and Dumitrescu, Roman}, year={2025} }' chicago: 'Strüwer, Jan-Niclas, Roman Trentinaglia, Benedict Wohlers, Eric Bodden, and Roman Dumitrescu. “Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis.” In AHFE International, Vol. 168. AHFE International, 2025. https://doi.org/10.54941/ahfe1006145.' ieee: 'J.-N. Strüwer, R. Trentinaglia, B. Wohlers, E. Bodden, and R. Dumitrescu, “Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis,” in AHFE International, 2025, vol. 168, doi: 10.54941/ahfe1006145.' mla: 'Strüwer, Jan-Niclas, et al. “Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis.” AHFE International, vol. 168, AHFE International, 2025, doi:10.54941/ahfe1006145.' short: 'J.-N. Strüwer, R. Trentinaglia, B. Wohlers, E. Bodden, R. Dumitrescu, in: AHFE International, AHFE International, 2025.' date_created: 2025-10-24T06:56:54Z date_updated: 2025-10-24T08:12:16Z department: - _id: '563' doi: 10.54941/ahfe1006145 intvolume: ' 168' language: - iso: eng publication: AHFE International publication_identifier: issn: - 2771-0718 publication_status: published publisher: AHFE International status: public title: 'Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis' type: conference user_id: '15782' volume: 168 year: '2025' ... --- _id: '61043' abstract: - lang: eng text: Dynamic market conditions, technological disruption and social change require organizations to continuously adapt and evolve. However, studies on organizational change show that the majority of transformations undertaken fail because they are characterized by a lack of clarity, overload and ineffective measures. This paper shows how a clear structure as a critical success factor can make the chaos and challenges of a transformation manageable. The focus here is on a practice-oriented framework that divides a transformation into nine essential building blocks with activities that are critical to success. The structure of the framework is understood as a flexible organizing principle for a transformation without hindering creativity and dynamics. Case studies show the adaptability and applicability of the framework to different characteristics and dimensions of transformation. The transformation framework provides an operative structure and enables transformation managers for transparent orchestration and implementation of transformation. author: - first_name: Iris full_name: Gräßler, Iris id: '47565' last_name: Gräßler orcid: 0000-0001-5765-971X - first_name: Benedikt full_name: Grewe, Benedikt id: '52359' last_name: Grewe - first_name: Marc full_name: Fritzen, Marc last_name: Fritzen citation: ama: 'Gräßler I, Grewe B, Fritzen M. The importance of structure in transformation chaos: A Transformation Framework. In: AHFE International. Vol 198. AHFE International; 2025. doi:10.54941/ahfe1006790' apa: 'Gräßler, I., Grewe, B., & Fritzen, M. (2025). The importance of structure in transformation chaos: A Transformation Framework. AHFE International, 198. https://doi.org/10.54941/ahfe1006790' bibtex: '@inproceedings{Gräßler_Grewe_Fritzen_2025, title={The importance of structure in transformation chaos: A Transformation Framework}, volume={198}, DOI={10.54941/ahfe1006790}, booktitle={AHFE International}, publisher={AHFE International}, author={Gräßler, Iris and Grewe, Benedikt and Fritzen, Marc}, year={2025} }' chicago: 'Gräßler, Iris, Benedikt Grewe, and Marc Fritzen. “The Importance of Structure in Transformation Chaos: A Transformation Framework.” In AHFE International, Vol. 198. AHFE International, 2025. https://doi.org/10.54941/ahfe1006790.' ieee: 'I. Gräßler, B. Grewe, and M. Fritzen, “The importance of structure in transformation chaos: A Transformation Framework,” in AHFE International, Pula, Croatia, 2025, vol. 198, doi: 10.54941/ahfe1006790.' mla: 'Gräßler, Iris, et al. “The Importance of Structure in Transformation Chaos: A Transformation Framework.” AHFE International, vol. 198, AHFE International, 2025, doi:10.54941/ahfe1006790.' short: 'I. Gräßler, B. Grewe, M. Fritzen, in: AHFE International, AHFE International, 2025.' conference: end_date: 2025-09-24 location: Pula, Croatia name: '7th International Conference on Human Systems Engineering and Design: Future Trends and Applications' start_date: 2025-09-22 date_created: 2025-08-28T08:06:41Z date_updated: 2025-11-11T06:10:27Z department: - _id: '152' doi: 10.54941/ahfe1006790 intvolume: ' 198' language: - iso: eng publication: AHFE International publication_identifier: issn: - 2771-0718 publication_status: published publisher: AHFE International quality_controlled: '1' status: public title: 'The importance of structure in transformation chaos: A Transformation Framework' type: conference user_id: '52359' volume: 198 year: '2025' ... --- _id: '62181' abstract: - lang: eng text: This research investigates how Artificial Intelligence (AI) can be systematically integrated into existing business processes by combining suitable competencies with graphical AI workflow modelling. While AI offers a high potential for automation and increased efficiency, its implementation often fails due to a lack of interdisciplinary competencies that bridge the gap between domain expertise and IT know-how. Low-code platforms and visual modelling tools are increasingly recognised as enablers, empowering non-programmers to intuitively create graphical AI- based workflows. Nevertheless, specific competencies are required to realise the full potential of AI, the domain specific knowledge and align technical understanding with AI capabilities. The paper reviews the state of the art in AI-driven business process automation and competencies for visual low-code approaches. It then presents a practical solution to identify and systematise essential competence areas. Based on this, a practical competence model is developed to support the design of user-friendly, AI-enabled workflows. This is tested in a practical application context — emergency management — where it supports critical decision-making processes and is validated through expert feedback. The study concludes by offering actionable recommendations to help organisations foster the necessary competencies and methods for competently integrating AI into their digital processes. author: - first_name: Iris full_name: Gräßler, Iris id: '47565' last_name: Gräßler orcid: 0000-0001-5765-971X - first_name: Deniz full_name: Özcan, Deniz id: '58595' last_name: Özcan citation: ama: 'Gräßler I, Özcan D. Graphical AI workflow modelling: Identifying relevant competencies in AI-based automation of business processes. In: AHFE International. Vol 198. AHFE International; 2025. doi:10.54941/ahfe1006785' apa: 'Gräßler, I., & Özcan, D. (2025). Graphical AI workflow modelling: Identifying relevant competencies in AI-based automation of business processes. AHFE International, 198. https://doi.org/10.54941/ahfe1006785' bibtex: '@inproceedings{Gräßler_Özcan_2025, title={Graphical AI workflow modelling: Identifying relevant competencies in AI-based automation of business processes}, volume={198}, DOI={10.54941/ahfe1006785}, booktitle={AHFE International}, publisher={AHFE International}, author={Gräßler, Iris and Özcan, Deniz}, year={2025} }' chicago: 'Gräßler, Iris, and Deniz Özcan. “Graphical AI Workflow Modelling: Identifying Relevant Competencies in AI-Based Automation of Business Processes.” In AHFE International, Vol. 198. AHFE International, 2025. https://doi.org/10.54941/ahfe1006785.' ieee: 'I. Gräßler and D. Özcan, “Graphical AI workflow modelling: Identifying relevant competencies in AI-based automation of business processes,” in AHFE International, Split, 2025, vol. 198, doi: 10.54941/ahfe1006785.' mla: 'Gräßler, Iris, and Deniz Özcan. “Graphical AI Workflow Modelling: Identifying Relevant Competencies in AI-Based Automation of Business Processes.” AHFE International, vol. 198, AHFE International, 2025, doi:10.54941/ahfe1006785.' short: 'I. Gräßler, D. Özcan, in: AHFE International, AHFE International, 2025.' conference: end_date: 2025-09-24 location: Split name: '7th International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED 2025)' start_date: 2025-09-22 date_created: 2025-11-13T16:37:59Z date_updated: 2025-11-13T16:41:39Z department: - _id: '43' - _id: '9' - _id: '26' - _id: '152' doi: 10.54941/ahfe1006785 intvolume: ' 198' language: - iso: eng publication: AHFE International publication_identifier: issn: - 2771-0718 publication_status: published publisher: AHFE International quality_controlled: '1' status: public title: 'Graphical AI workflow modelling: Identifying relevant competencies in AI-based automation of business processes' type: conference user_id: '58595' volume: 198 year: '2025' ... --- _id: '65124' abstract: - lang: eng text: To remain competitive, companies must continuously adapt their value proposition, especially in response to increasing demands for sustainability and digitalisation. Small and medium-sized enterprises often struggle to implement future-oriented digital business models. The aim is to develop decision support to help companies plan ahead and assess their value proposition, with a focus on foresighted planning. Based on literature research, expert interviews and the analysis of existing solutions, an understanding of “sustainable value” and requirements of decision support are defined. Decision support is implemented in a software. The main contribution is the setup of functions and content such as a list of influence factors, analysing influences and evaluating ideas, control questions and support for the implementation of digital business models. Validation through expert interviews and workshops in mechanical and plant engineering shows that the software supports enterprises in foresighted planning of value proposition and the selection of a concept for digital business models. It makes them robust towards the variety of future scenarios. author: - first_name: Iris full_name: Gräßler, Iris id: '47565' last_name: Gräßler orcid: 0000-0001-5765-971X - first_name: Alena Marie full_name: Tusek, Alena Marie id: '59370' last_name: Tusek citation: ama: 'Gräßler I, Tusek AM. Software-supported decision support for the foresighted planning of digital business models. In: AHFE International. Vol 198. AHFE International; 2025. doi:10.54941/ahfe1006769' apa: Gräßler, I., & Tusek, A. M. (2025). Software-supported decision support for the foresighted planning of digital business models. AHFE International, 198. https://doi.org/10.54941/ahfe1006769 bibtex: '@inproceedings{Gräßler_Tusek_2025, title={Software-supported decision support for the foresighted planning of digital business models}, volume={198}, DOI={10.54941/ahfe1006769}, booktitle={AHFE International}, publisher={AHFE International}, author={Gräßler, Iris and Tusek, Alena Marie}, year={2025} }' chicago: Gräßler, Iris, and Alena Marie Tusek. “Software-Supported Decision Support for the Foresighted Planning of Digital Business Models.” In AHFE International, Vol. 198. AHFE International, 2025. https://doi.org/10.54941/ahfe1006769. ieee: 'I. Gräßler and A. M. Tusek, “Software-supported decision support for the foresighted planning of digital business models,” in AHFE International, 2025, vol. 198, doi: 10.54941/ahfe1006769.' mla: Gräßler, Iris, and Alena Marie Tusek. “Software-Supported Decision Support for the Foresighted Planning of Digital Business Models.” AHFE International, vol. 198, AHFE International, 2025, doi:10.54941/ahfe1006769. short: 'I. Gräßler, A.M. Tusek, in: AHFE International, AHFE International, 2025.' date_created: 2026-03-25T10:47:04Z date_updated: 2026-03-25T10:49:02Z department: - _id: '152' doi: 10.54941/ahfe1006769 intvolume: ' 198' language: - iso: eng publication: AHFE International publication_identifier: issn: - 2771-0718 publication_status: published publisher: AHFE International quality_controlled: '1' status: public title: Software-supported decision support for the foresighted planning of digital business models type: conference user_id: '5905' volume: 198 year: '2025' ... --- _id: '56670' abstract: - lang: eng text: Systems Engineering is becoming increasingly important in the engineering of complex technical systems. Its introduction is forcing companies to undertake major transformation initiatives. As established change management approaches show, the corporate culture is an important key criterion for success of transformation. Therefore, when introducing Systems Engineering into an organization, transformation initiatives must be tailored to an existing corporate culture or the corporate culture itself must be changed in order to enable Systems Engineering. In literature and in industrial practice, different approaches for assessment of corporate culture exist. Within this research, a systematic literature review on methods and models for corporate culture assessment is conducted. Core elements are collected and combined with the fundamentals and success factors of Systems Engineering to develop a model for corporate culture assessment. The developed model is applied to the industrial practice of an ongoing Systems Engineering transformation of a large car manufacturer. The results of the assessment are compared with the emerging project challenges. Based on this model and its supporting tool and templates, organizations and transformation leaders are enabled to rapidly obtain an orientation of hindering or supporting currently established cultural aspects with regard to Systems Engineering transformation and to provide a decision basis for further measures. author: - first_name: Iris full_name: Graessler, Iris last_name: Graessler - first_name: Benedikt full_name: Grewe, Benedikt last_name: Grewe citation: ama: 'Graessler I, Grewe B. Importance of cultural change in Systems Engineering Transformation: A model for cultural assessment. In: AHFE International. Vol 158. AHFE International; 2024. doi:10.54941/ahfe1005551' apa: 'Graessler, I., & Grewe, B. (2024). Importance of cultural change in Systems Engineering Transformation: A model for cultural assessment. AHFE International, 158. https://doi.org/10.54941/ahfe1005551' bibtex: '@inproceedings{Graessler_Grewe_2024, title={Importance of cultural change in Systems Engineering Transformation: A model for cultural assessment}, volume={158}, DOI={10.54941/ahfe1005551}, booktitle={AHFE International}, publisher={AHFE International}, author={Graessler, Iris and Grewe, Benedikt}, year={2024} }' chicago: 'Graessler, Iris, and Benedikt Grewe. “Importance of Cultural Change in Systems Engineering Transformation: A Model for Cultural Assessment.” In AHFE International, Vol. 158. AHFE International, 2024. https://doi.org/10.54941/ahfe1005551.' ieee: 'I. Graessler and B. Grewe, “Importance of cultural change in Systems Engineering Transformation: A model for cultural assessment,” in AHFE International, 2024, vol. 158, doi: 10.54941/ahfe1005551.' mla: 'Graessler, Iris, and Benedikt Grewe. “Importance of Cultural Change in Systems Engineering Transformation: A Model for Cultural Assessment.” AHFE International, vol. 158, AHFE International, 2024, doi:10.54941/ahfe1005551.' short: 'I. Graessler, B. Grewe, in: AHFE International, AHFE International, 2024.' date_created: 2024-10-17T15:13:46Z date_updated: 2025-11-11T06:11:50Z department: - _id: '152' doi: 10.54941/ahfe1005551 intvolume: ' 158' language: - iso: eng main_file_link: - open_access: '1' url: https://openaccess.cms-conferences.org/publications/book/978-1-964867-34-2/article/978-1-964867-34-2_28 oa: '1' publication: AHFE International publication_identifier: issn: - 2771-0718 publication_status: published publisher: AHFE International quality_controlled: '1' status: public title: 'Importance of cultural change in Systems Engineering Transformation: A model for cultural assessment' type: conference user_id: '52359' volume: 158 year: '2024' ... --- _id: '54286' abstract: - lang: eng text: 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. author: - first_name: Jonas full_name: Lick, Jonas last_name: Lick - first_name: Benedict full_name: Wohlers, Benedict last_name: Wohlers - first_name: Philipp full_name: Sahrhage, Philipp last_name: Sahrhage - first_name: Felix full_name: Schreckenberg, Felix last_name: Schreckenberg - first_name: Susanne full_name: Klöckner, Susanne last_name: Klöckner - first_name: Sebastian full_name: Von Enzberg, Sebastian last_name: Von Enzberg - first_name: Arno full_name: Kühn, Arno last_name: Kühn - first_name: Roman full_name: Dumitrescu, Roman id: '16190' last_name: Dumitrescu citation: 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: Artificial Intelligence, Social Computing and Wearable Technologies. AHFE International; 2023. doi:10.54941/ahfe1004185' apa: 'Lick, J., Wohlers, B., Sahrhage, P., Schreckenberg, F., Klöckner, S., Von Enzberg, S., Kühn, A., & Dumitrescu, R. (2023). Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach. Artificial Intelligence, Social Computing and Wearable Technologies. https://doi.org/10.54941/ahfe1004185' 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={10.54941/ahfe1004185}, 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} }' 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 Artificial Intelligence, Social Computing and Wearable Technologies. AHFE International, 2023. https://doi.org/10.54941/ahfe1004185.' ieee: 'J. Lick et al., “Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach,” 2023, doi: 10.54941/ahfe1004185.' mla: 'Lick, Jonas, et al. “Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach.” Artificial Intelligence, Social Computing and Wearable Technologies, AHFE International, 2023, doi:10.54941/ahfe1004185.' 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.' date_created: 2024-05-14T10:32:05Z date_updated: 2024-05-14T10:35:29Z doi: 10.54941/ahfe1004185 language: - iso: eng publication: Artificial Intelligence, Social Computing and Wearable Technologies publication_identifier: issn: - 2771-0718 publication_status: published publisher: AHFE International status: public title: 'Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach' type: conference user_id: '102490' year: '2023' ...