Enterprise modeling as a decision making aid: A systematic mapping study

Tony Clark, Souvik Barat*, Vinay Kulkarni, Balbir Barn

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper reviews the state-of-the-art enterprise modelling (EM) techniques with an objective to support decision-making. It describes a Systematic Mapping Study based on 173 publications chosen from 7622 EM related publications collated using five digital libraries: Scopus, ACM Digital Library, IEEE Xplore, ScienceDirect and Web of Science. The study identifies 29 EM techniques and critically analyses them for suitability as an effective aid to complex dynamic decisionmaking vis-a-vis a set of characteristics. The paper also reports EM publications trends and the challenges aimed at providing effective aids to complex dynamic decision making.

Original languageEnglish
Title of host publicationThe Practice of Enterprise Modeling - 9th IFIP WG 8.1. Working Conference, PoEM 2016, Proceedings
PublisherSpringer
Pages289-298
Number of pages10
Volume267
ISBN (Print)9783319483924
DOIs
Publication statusPublished - 28 Oct 2016
Event9th IFIP WG 8.1. Working Conference on the Practice of Enterprise Modeling, PoEM 2016 - Skovde, Sweden
Duration: 8 Nov 201610 Nov 2016

Publication series

NameLecture Notes in Business Information Processing
Volume267
ISSN (Print)1865-1348

Conference

Conference9th IFIP WG 8.1. Working Conference on the Practice of Enterprise Modeling, PoEM 2016
CountrySweden
CitySkovde
Period8/11/1610/11/16

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Keywords

  • Decision making
  • Enterprise modelling
  • Systematic mapping study

Cite this

Clark, T., Barat, S., Kulkarni, V., & Barn, B. (2016). Enterprise modeling as a decision making aid: A systematic mapping study. In The Practice of Enterprise Modeling - 9th IFIP WG 8.1. Working Conference, PoEM 2016, Proceedings (Vol. 267, pp. 289-298). (Lecture Notes in Business Information Processing; Vol. 267). Springer. https://doi.org/10.1007/978-3-319-48393-1_20