In an evolutionary environment, many changes can be triggered by enterprise in order to cope with increased development. These changes can be critical if they are not well identified and addressed. In this context, Enterprise Architecture (EA) operates to provide holistic and coherent enterprise vision and aims to guide enterprise change. One of these changes depends on competence which is related to actors’ performance assessment. In doing so, we define a formal approach that accompanies changes and provides strategic guidance based on actors performance assessments. Then, we identify the multilevel character of changes using hierarchical linear model (HLM) to compute linear correlation coefficient. Our method is based on the prediction and helps in anticipating the changing impacts. Finally, a prototype is developed to evaluate this approach in a case study.
CITATION STYLE
Jabloun, M., Sayeb, Y., Ghezala, H. B., & Gaaloul, K. (2015). Supporting enterprise changes using actor performance assessment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8954, pp. 158–170). Springer Verlag. https://doi.org/10.1007/978-3-319-22885-3_14
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