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A Survey to Evaluate the Completeness and Correctness of a Morphological Box for AI Solutions

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Advanced Information Systems Engineering Workshops (CAiSE 2024)

Abstract

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.

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Correspondence to Jack Daniel Rittelmeyer .

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Rittelmeyer, J.D., Sandkuhl, K. (2024). A Survey to Evaluate the Completeness and Correctness of a Morphological Box for AI Solutions. In: Almeida, J.P.A., Di Ciccio, C., Kalloniatis, C. (eds) Advanced Information Systems Engineering Workshops. CAiSE 2024. Lecture Notes in Business Information Processing, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-031-61003-5_11

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  • DOI: https://doi.org/10.1007/978-3-031-61003-5_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-61002-8

  • Online ISBN: 978-3-031-61003-5

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