Abstract
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.
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References
Becker, J., Knackstedt, R., Pöppelbuß, J.: Developing maturity models for IT management. Bus. Inf. Syst. Eng. 1(3), 213–222 (2009)
Zhang, D., et al..: The AI Index 2022 Annual Report (2022)
CMMI Product Team: CMMI® for Development, Version 1.3., Pittsburgh (2010)
Mettler, T.: Maturity assessment models: a design science research approach. Int. J. Soc. Syst. Sci. 3(1/2), 81–98 (2011)
Fukas, P.: The management of artificial intelligence: developing a framework based on the artificial intelligence maturity principle. In: Van Looy, A., Weber, B., and Rosemann, M. (eds.) Doctoral Consortium Papers Presented at the 34th International Conference on Advanced Information Systems Engineering (CAiSE 2022), pp. 19–27. Leuven (2022)
Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. Manag. Inf. Syst. Q. 28, 75–105 (2004)
Fukas, P., Rebstadt, J., Remark, F., Thomas, O.: Developing an Artificial Intelligence Maturity Model for Auditing. In: ECIS 2021 Research Papers, 133. Marrakesch (online) (2021)
Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24(3), 45–77 (2007)
Figma: Figma: Nothing great is made alone. https://www.figma.com/. Accessed 2023/04/20
Moser, C.: User Experience Design. Springer, Berlin (2012)
Wang, X.: Design and evaluation of intelligent menu interface through cognitive walkthrough procedure and automated logging for management information system. In: Shen, W., Yong, J., Yang, Y., Barthès, J.-P., Luo, J. (eds.) CSCWD 2007. LNCS, vol. 5236, pp. 408–418. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-92719-8_37
Paternò, F.: Model-Based Design and Evaluation of Interactive Applications. Springer, London (2000)
Chauhan, R.K., Singh, I.: Latest research and development on software testing techniques and tools. Int. J. Curr. Eng. Technol. 4(4), 2368–2372 (2014)
Friess, E.: Personas in heuristic evaluation: an exploratory study. IEEE Trans. Prof. Commun. 58(2), 176–191 (2015)
Chisnell, D.E., Redish, J.C., Lee, A.: New heuristics for understanding older adults as web users. Tech. Commun. 53(1), 39–59 (2006)
Frehe, V., Stiel, F., Teuteberg, F.: A Maturity model and web application for environmental management benchmarking. In: AMCIS 2014 Proceedings, pp. 1–14. Savannah (2014)
Krivograd, N., Fettke, P.: Development of a generic tool for the application of maturity models - results from a design science approach. In: Sprague, R.H. (eds.) Proceedings of the Annual Hawaii International Conference on System Sciences, pp. 4326–4335. IEEE, Washington, D.C. (2012)
ISO: ISO/IEC CD 42001. https://www.iso.org/standard/81230.html. Accessed 2023/04/20
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Fukas, P., Bozkurt, A., Lenz, N., Thomas, O. (2023). Developing a Maturity Assessment Tool to Enable the Management of Artificial Intelligence for Organizations. In: Ruiz, M., Soffer, P. (eds) Advanced Information Systems Engineering Workshops. CAiSE 2023. Lecture Notes in Business Information Processing, vol 482. Springer, Cham. https://doi.org/10.1007/978-3-031-34985-0_5
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