Enterprise Modeling as a Decision Making Aid: A Systematic Mapping Study
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 digit
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Tata Consultancy Services Research, Pune, India {souvik.barat,vinay.vkulkarni}@tcs.com 2 Sheffield Hallam University, London, UK [email protected] 3 Middlesex University, London, UK [email protected]
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.
Keywords: Enterprise modelling mapping study
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Decision making
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Systematic
Introduction
One of the key challenges modern organisations face is how to make effective decisions within a dynamic environment [1]. Precise understanding of various aspects of the organisation such as goals, organisation structure, operational processes, historic data and the stakeholders of the organisation is necessary to arrive at effective decisions [2]. Current industry practice of decision making relies heavily on human experts using tools such as spreadsheets, word processors, and diagram editors. Though providing computational and visualization support, these tools are rather primitive as regards analysis capabilities. This leads to excessive cognitive burden on human experts thus adversely affecting the quality and precision of decision making [3]. In recent years, the use of enterprise modelling (EM) is widely discussed in the context of complex enterprise wide missions [4] such as Business-IT alignment, enterprise transformation, etc. A wide range of sophisticated support for c IFIP International Federation for Information Processing 2016 Published by Springer International Publishing Switzerland 2016. All Rights Reserved J. Horkoff et al. (Eds.): PoEM 2016, LNBIP 267, pp. 289–298, 2016. DOI: 10.1007/978-3-319-48393-1 20
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comprehending various aspects of enterprises make the EM techniques credible choice for such adoptions. For example, the Zachman framework [5] is capable of representing enterprises in a structured form by visualising them along six interrogative aspects namely what, where, when, why, who and how ; the ArchiMate [6] and tool Archi1 enable comprehensive specification and visualisation support along structural, behavioural and information aspects of the organisation. As regards the analysis capabilities, the specification such as BPMN [7], i* [8] and stock-n-flow (SnF) [9] are amenable to sophisticated analysis. For example, the process aspect can be analysed and simulated using BPMN, the high level goals and objectives can be evaluated using i*, and high level system dynamics can be simulated using Stock-and-Flow (SnF) tools such as iThink2 .
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