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Toward an Adaptive Enterprise Modelling Platform

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Toward an Adaptive Enterprise Modelling Platform. / Fayoumi, Amjad.
IFIP Working Conference on The Practice of Enterprise Modeling: The Practice of Enterprise Modeling. PoEM 2018. . Cham: Springer, 2018. p. 362-371 (Lecture Notes in Business Information Processing (LNBIP); Vol. 335).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Fayoumi, A 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), vol. 335, Springer, Cham, pp. 362-371. https://doi.org/10.1007/978-3-030-02302-7_23

APA

Fayoumi, A. (2018). Toward an Adaptive Enterprise Modelling Platform. In IFIP Working Conference on The Practice of Enterprise Modeling: The Practice of Enterprise Modeling. PoEM 2018. (pp. 362-371). (Lecture Notes in Business Information Processing (LNBIP); Vol. 335). Springer. https://doi.org/10.1007/978-3-030-02302-7_23

Vancouver

Fayoumi A. Toward an Adaptive Enterprise Modelling Platform. In IFIP Working Conference on The Practice of Enterprise Modeling: The Practice of Enterprise Modeling. PoEM 2018. . Cham: Springer. 2018. p. 362-371. (Lecture Notes in Business Information Processing (LNBIP)). doi: 10.1007/978-3-030-02302-7_23

Author

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

Bibtex

@inproceedings{f9dd60b4f66f42d1820de21b1d7e260d,
title = "Toward an Adaptive Enterprise Modelling Platform",
abstract = "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.",
keywords = "Enterprise modelling, Enterprise modelling challenges, Enterprise modelling adaptive platform",
author = "Amjad Fayoumi",
year = "2018",
month = oct,
day = "12",
doi = "10.1007/978-3-030-02302-7_23",
language = "English",
isbn = "9783030023010",
series = "Lecture Notes in Business Information Processing (LNBIP)",
publisher = "Springer",
pages = "362--371",
booktitle = "IFIP Working Conference on The Practice of Enterprise Modeling",

}

RIS

TY - GEN

T1 - Toward an Adaptive Enterprise Modelling Platform

AU - Fayoumi, Amjad

PY - 2018/10/12

Y1 - 2018/10/12

N2 - 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.

AB - 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.

KW - Enterprise modelling

KW - Enterprise modelling challenges

KW - Enterprise modelling adaptive platform

U2 - 10.1007/978-3-030-02302-7_23

DO - 10.1007/978-3-030-02302-7_23

M3 - Conference contribution/Paper

SN - 9783030023010

T3 - Lecture Notes in Business Information Processing (LNBIP)

SP - 362

EP - 371

BT - IFIP Working Conference on The Practice of Enterprise Modeling

PB - Springer

CY - Cham

ER -