Developing a Maturity Assessment Tool to Enable the Management of Artificial Intelligence for Organizations
Autor(en): | Fukas, Philipp Bozkurt, Aydin Lenz, Nora Thomas, Oliver |
Herausgeber: | Ruiz, M. Soffer, P. |
Stichwörter: | Artificial Intelligence; Assessment tool; Design; Design Science; Generic web; Graphical User Interface; Graphical user interfaces; Information management; Information Technology Management; Intelligence management; Maturity assessments; Maturity Model; Scientific discourse; Standardized procedure; Web based; Websites | Erscheinungsdatum: | 2023 | Herausgeber: | Springer Science and Business Media Deutschland GmbH | Journal: | Lecture Notes in Business Information Processing | Volumen: | 482 | Startseite: | 43 – 49 | Zusammenfassung: | Maturity Models (MMs) are a popular method to support Information Technology (IT) management. In recent years, several industry-specific Artificial Intelligence (AI) MMs were developed to support AI Management as part of the IT management in organizations. While the development of these AI MMs follows widely standardized procedures and therefore is sufficiently addressed in scientific discourse, a lack of attention toward their practical application can be seen. Therefore, this paper proposes a technical prototype for a generic web-based maturity assessment tool for AI management. Overall, a design science-oriented research procedure with a Systematic Literature Review, the design of Graphical User Interfaces (GUIs), the development of a web-based tool, and evaluations with Cognitive Walkthroughs and Personas are conducted. The results indicate that the development of a web tool is an innovative and promising way of applying AI MMs. This work contributes to the current body of knowledge in Information Systems Engineering research by providing a first technical prototype for a web-based maturity assessment tool for AI Management. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
Beschreibung: | Cited by: 0; Conference name: 1st International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems, HybridAIMS, 1st Workshop on Knowledge Graphs for Semantics-Driven Systems Engineering, KG4SDSE, Blockchain and Decentralized Governance Design for Information Systems, BC4IS and DGD, associated with the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023; Conference date: 12 June 2023 through 16 June 2023; Conference code: 296549 |
ISBN: | 9783031349843 | ISSN: | 1865-1348 | DOI: | 10.1007/978-3-031-34985-0_5 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164248820&doi=10.1007%2f978-3-031-34985-0_5&partnerID=40&md5=f5f97d7920ac320d17962f05d7c87c2b |
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geprüft am 02.06.2024