Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review
Open Access
- 19 May 2023
- journal article
- review article
- Published by MDPI AG in Applied Sciences
- Vol. 13 (10) , 6225
Abstract
This scientific article discusses the process of digital transformation of enterprises, analyzed as complex technical systems. Digital transformation is essential for businesses to remain competitive in the global marketplace. One of the effective tools for such a transformation is model-based systems engineering (MBSE). However, there is a gap in the practical application of knowledge regarding the uniform principles for the formation of a digital representation of complex technical systems, which limits the realization of the cross-industry potential of digital transformation in the economy. The motivation for this study is to identify common cross-industry principles for the formation of digital representations of complex technical systems that can lead companies to a sustainable and successful digital transformation. The purpose of this work is to identify and formulate these principles through an analysis of publications, using an inductive approach and classifying them by the category of application. As a result of the study, 23 principles were obtained, and the degree of their use in various industries associated with complex technical systems was determined. The results of this study will help to solve the problem of cross-industry integration and guide systemic changes in the organization of enterprises during their digital transformation.Keywords
Funding Information
- Ministry of Science and Higher Education of the Russian Federation (075-15-2022-311)
This publication has 133 references indexed in Scilit:
- How does culture influence corporate risk-taking?Journal of Corporate Finance, 2013
- Using grounded theory as a method for rigorously reviewing literatureEuropean Journal of Information Systems, 2013
- Model-Based System Integration (MBSI) – Key Attributes of MBSE from the System Integrator's PerspectiveProcedia Computer Science, 2013
- Tournament incentives, firm risk, and corporate policiesJournal of Financial Economics, 2012
- Using MBSE to Enhance System Design Decision MakingProcedia Computer Science, 2012
- Creditor rights and corporate risk-takingJournal of Financial Economics, 2011
- Model Based Systems Engineering for Smart Grids as Systems of SystemsProcedia Computer Science, 2011
- Managerial incentives and risk-taking☆Journal of Financial Economics, 2006
- Toward a complexity theory of information systems developmentInformation Technology & People, 2006
- Introduction to MBASE (Model-Based (System) Architecting and Software Engineering)2004