Paper Info
Title
Business strategy modelling based on enterprise architecture: a state of the art review
Abstract
Purpose Enterprise architecture (EA) is a means of a high level of abstraction of a business' levels which helps organise planning and taking better decisions. Evidence has shown that the scope of EA is not restricted to technology planning, but the lack of business strategy and processes is the most common problem of EA frameworks. Consequently, a challenge stems from the fact that the formulation of strategy should not be modelled separately but as a holistic approach. The purpose of this paper is to evaluate the contemporary problems in existing EA modelling frameworks concerning the optimisation of business strategy concepts and to identify areas for improvement. Design/methodology/approach Studies were spotted using a three phased literature review methodology which was suggested by Webster and Watson (2002). Findings Although, previous studies have attempted to use tools and models to visualise the technological business planning, limited previous study has focussed on modelling strategic planning. Due to issues concerning the lack of guidelines for modelling business strategy, a holistic approach is needed to be made. Originality/value The paper contributes to the existing literature by assessing the current EA modelling languages and their skilfulness to modelling strategy. Moreover, it contributes to the determination of difficulties in modelling, as well as to the examination of ease of use of language in the context of strategy. Second, this paper provides an overview to practitioners who would like to develop effective EA modelling projects, as well as to architects who try to solve the problems of business complexity.
Year
DOI
Venue
2019
10.1108/BPMJ-05-2017-0122
BUSINESS PROCESS MANAGEMENT JOURNAL
Keywords
Field
DocType
Strategic management,Business strategy,Modelling,Enterprise architecture,Enterprise architecture management,Enterprise engineering
Enterprise engineering,Enterprise architecture,Abstraction,Computer science,Usability,Strategic management,Watson,Strategic planning,Management science,Enterprise architecture management,Process management
Journal
Volume
Issue
ISSN
25.0
4.0
1463-7154
Citations 
PageRank 
References 
0
0.34
29
Authors
2
Name
Order
Citations
PageRank
Fotis Kitsios1238.71
Maria Kamariotou204.39