{"conference":{"start_date":"2024-12-05","name":"4th International Conference on AI Research, ICAIR 2024","location":"Lisbon, Portugal","end_date":"2024-12-06"},"author":[{"full_name":"Armutat, Sascha","last_name":"Armutat","id":"227314","first_name":"Sascha"},{"orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0001-5628-2877/work/176280747","orcid":"0000-0001-5628-2877","last_name":"Wattenberg","full_name":"Wattenberg, Malte","first_name":"Malte","id":"207361"},{"first_name":"Nina","id":"211186","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0001-1286-4370/work/177566864","orcid":"0009-0001-1286-4370","last_name":"Mauritz","full_name":"Mauritz, Nina"}],"oa":"1","publisher":"Curtis Farm","doi":"10.34190/icair.5.1.3070","corporate_editor":["Academic Conferences International Limited"],"publication_identifier":{"eissn":["3049-5628"]},"department":[{"_id":"4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21"}],"intvolume":"         4","quality_controlled":"1","publication":"Proceedings of the 4th International Conference on AI Research, ICAIR 2024","date_created":"2024-12-11T13:55:53Z","date_updated":"2025-02-07T13:06:37Z","user_id":"207361","urn":"urn:nbn:de:hbz:bi10-51742","page":"50-58","abstract":[{"lang":"eng","text":"Artificial intelligence (AI) has the potential to change the world of work radically. Wherever information processing is involved, AI can be integrated into processes with added value. From the perspective of Human Resource (HR) management, this implies three things: first, business models and performance processes in the company will undergo change; second, employee requirements will change; and third, HR processes will change. While the literature describes various AI maturity models, there has been no dedicated consideration of HR management. This article, therefore, aims to identify relevant influencing factors for an AI-orientated approach to HR management and to describe these in more detail using maturity levels in a Human Resources Artificial Intelligence Maturity Model (HR-AIMM). The resulting HR-AIMM consists of eleven dimensions. These include anchoring the AI topic in the corporate and HR strategy, its use in selected HR processes, considering ethical, data-related, and infrastructural principles, and organisational, cultural, and competence-related anchoring. The characteristics of these factors enable the identification of four maturity levels for using AI in HR management: from a curious start to the level of holistic integration. Our framework supports researchers and companies in understanding and evaluating the factors influencing the professional application of AI in HR management.              "}],"volume":4,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.34190/icair.5.1.3070"}],"language":[{"iso":"eng"}],"issue":"1","_id":"5174","status":"public","place":"United Kingdom","title":"Designing an Artificial Intelligence Maturity Model for Human Resources (HR-AIMM)","publication_status":"published","year":"2024","type":"conference","citation":{"short":"S. Armutat, M. Wattenberg, N. Mauritz, in: Academic Conferences International Limited (Ed.), Proceedings of the 4th International Conference on AI Research, ICAIR 2024, Curtis Farm, United Kingdom, 2024, pp. 50–58.","mla":"Armutat, Sascha, et al. “Designing an Artificial Intelligence Maturity Model for Human Resources (HR-AIMM).” <i>Proceedings of the 4th International Conference on AI Research, ICAIR 2024</i>, edited by Academic Conferences International Limited, vol. 4, no. 1, Curtis Farm, 2024, pp. 50–58, doi:<a href=\"https://doi.org/10.34190/icair.5.1.3070\">10.34190/icair.5.1.3070</a>.","bibtex":"@inproceedings{Armutat_Wattenberg_Mauritz_2024, place={United Kingdom}, title={Designing an Artificial Intelligence Maturity Model for Human Resources (HR-AIMM)}, volume={4}, DOI={<a href=\"https://doi.org/10.34190/icair.5.1.3070\">10.34190/icair.5.1.3070</a>}, number={1}, booktitle={Proceedings of the 4th International Conference on AI Research, ICAIR 2024}, publisher={Curtis Farm}, author={Armutat, Sascha and Wattenberg, Malte and Mauritz, Nina}, editor={Academic Conferences International LimitedEditor}, year={2024}, pages={50–58} }","chicago":"Armutat, Sascha, Malte Wattenberg, and Nina Mauritz. “Designing an Artificial Intelligence Maturity Model for Human Resources (HR-AIMM).” In <i>Proceedings of the 4th International Conference on AI Research, ICAIR 2024</i>, edited by Academic Conferences International Limited, 4:50–58. United Kingdom: Curtis Farm, 2024. <a href=\"https://doi.org/10.34190/icair.5.1.3070\">https://doi.org/10.34190/icair.5.1.3070</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Armutat, Sascha</span> ; <span style=\"font-variant:small-caps;\">Wattenberg, Malte</span> ; <span style=\"font-variant:small-caps;\">Mauritz, Nina</span>: Designing an Artificial Intelligence Maturity Model for Human Resources (HR-AIMM). In: <span style=\"font-variant:small-caps;\">Academic Conferences International Limited</span> (Hrsg.): <i>Proceedings of the 4th International Conference on AI Research, ICAIR 2024</i>. Bd. 4. United Kingdom : Curtis Farm, 2024, S. 50–58","ieee":"S. Armutat, M. Wattenberg, and N. Mauritz, “Designing an Artificial Intelligence Maturity Model for Human Resources (HR-AIMM),” in <i>Proceedings of the 4th International Conference on AI Research, ICAIR 2024</i>, Lisbon, Portugal, 2024, vol. 4, no. 1, pp. 50–58.","apa":"Armutat, S., Wattenberg, M., &#38; Mauritz, N. (2024). Designing an Artificial Intelligence Maturity Model for Human Resources (HR-AIMM). In Academic Conferences International Limited (Ed.), <i>Proceedings of the 4th International Conference on AI Research, ICAIR 2024</i> (Vol. 4, pp. 50–58). United Kingdom: Curtis Farm. <a href=\"https://doi.org/10.34190/icair.5.1.3070\">https://doi.org/10.34190/icair.5.1.3070</a>","ama":"Armutat S, Wattenberg M, Mauritz N. Designing an Artificial Intelligence Maturity Model for Human Resources (HR-AIMM). In: Academic Conferences International Limited, ed. <i>Proceedings of the 4th International Conference on AI Research, ICAIR 2024</i>. Vol 4. United Kingdom: Curtis Farm; 2024:50-58. doi:<a href=\"https://doi.org/10.34190/icair.5.1.3070\">10.34190/icair.5.1.3070</a>"}}