Toward an Adaptive Enterprise Modelling Platform

Fayoumi, Amjad (2018) Toward an Adaptive Enterprise Modelling Platform. In: IFIP Working Conference on The Practice of Enterprise Modeling : The Practice of Enterprise Modeling. PoEM 2018. Lecture Notes in Business Information Processing (LNBIP) . Springer, Cham, pp. 362-371. ISBN 9783030023010

[thumbnail of Fayoumi_EM_adaptive_platform_Edited]
PDF (Fayoumi_EM_adaptive_platform_Edited)
Fayoumi_EM_adaptive_platform_Edited.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (1MB)


For the past three decades, enterprise modelling (EM) has been emerging as a significant yet complex paradigm to tackle holistic systematic enterprise analysis and design. With a high fluctuation in the global economy, industrial stability and technology shift, the necessity of such paradigms becomes crucial in determining the decisions that an enterprise can make for surviving in such a highly dynamic business ecosystem. EM practices have focused for a long time, on the design-time of enterprise systems. Recently, there has been a rapid development in data analytics, machine learning and intelligent systems from which an EM platform can benefit. EM needs to cope with the new changes in both business and technology; it should also help architects to determine optimum decisions and reduce complexity in technical infrastructure. In this paper, the author discusses several challenges facing enterprise modelling practices and offers an architectural notion for future development focusing on the requirements of a platform that can be called intelligent and adaptive.

Item Type:
Contribution in Book/Report/Proceedings
?? enterprise modellingenterprise modelling challengesenterprise modelling adaptive platform ??
ID Code:
Deposited By:
Deposited On:
30 Aug 2018 08:10
Last Modified:
16 Jul 2024 04:23