Using formal measures to improve maturity model assessment for conceptual interoperability
G. S. S. Leal, W. Guédria, H. Panetto, E. Proper, and M. Lezoche
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10034 LNCS, pp. 47-56, 2017
To handle challenges such as globalization, new technologies and fast-changing environments, enterprises are progressively collaborating with others and becoming part of a Networked. In this context, Enterprise Interoperability (EI) is a crucial requirement that needs to be respected by enterprises when starting a collaborative relationship. As soon as this requirement is not achieved, EI becomes a problem that must be solved. To avoid these problems and consequently, take corrective actions on time, enterprises need to predict and solve potential problems before they occur. The Maturity Model for Enterprise Interoperability (MMEI) was proposed to assess the interoperability potential of an enterprise as well as to help enterprises evaluating the suitability of partners in an interoperability context. However, this method has some inconveniences such as the lack of formal definitions specifying the boundaries between each maturity level. Hence the objective of this paper is to formalize the MMEI maturity levels boundaries by defining formal measures. Finally, a case study is proposed to validate the defined measures.
DOI:10.1007/978-3-319-55961-2_5