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A Survey to Evaluate the Completeness and Correctness of a Morphological Box for AI Solutions
Institute of Computer Science, University of Rostock, Albert-Einstein-Str. 22, Rostock, 18057, Germany.
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. Institute of Computer Science, University of Rostock, Albert-Einstein-Str. 22, Rostock, 18057, Germany.ORCID iD: 0000-0002-7431-8412
2024 (English)In: Advanced Information Systems Engineering Workshops: CAiSE 2024 International Workshops, Limassol, Cyprus, June 3–7, 2024, Proceedings / [ed] J. P. A. Almeida, C. Di Ciccio, C. Kalloniatis, Springer, 2024, p. 115-129Conference paper, Published paper (Refereed)
Abstract [en]

Artificial Intelligence (AI) is a key technology driving digital transformation in enterprises worldwide. However, the implementation of AI projects often faces hurdles, primarily due to misconceptions about AI’s capabilities and suitable applications. This research represents a step in a broader research process aimed at creating an artifact to help companies, particularly those outside the IT sector, navigate these challenges. We present an evaluation of a morphological box that outlines critical factors for successful AI integration. The evaluation was carried out by conducting and analyzing a survey in which participants rated the individual features and values, as well as their structure. We also conducted the Kaiser-Meyer-Olkin and Bartlett tests and created a correlation matrix as statistical measures to identify overlap between the elements of the box. After analyzing the data, we found some further room for improvement but that the box seems to include the generally most important aspects. Overall, the participants’ ratings for the individual elements were also satisfactory.

Place, publisher, year, edition, pages
Springer, 2024. p. 115-129
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 521
Keywords [en]
AI Solution Development, Artificial Intelligence, Morphological Box, Survey, Petroleum reservoir evaluation, Artificial intelligence solution development, Correlation matrix, Critical factors, Digital transformation, Individual features, Intelligence integration, Key technologies, Research process, Statistical measures
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hj:diva-65376DOI: 10.1007/978-3-031-61003-5_11Scopus ID: 2-s2.0-85196204941ISBN: 978-3-031-61002-8 (print)ISBN: 978-3-031-61003-5 (electronic)OAI: oai:DiVA.org:hj-65376DiVA, id: diva2:1877298
Conference
International workshops associated with the 36th International Conference on Advanced Information Systems Engineering, CAiSE 2024 Limassol 3 June 2024 through 7 June 2024
Available from: 2024-06-25 Created: 2024-06-25 Last updated: 2024-06-25Bibliographically approved

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Sandkuhl, Kurt

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