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Model-Based Holistic Multidimensional View on Digital Engineering Investments Appraisal

Engineered Science. 2024. Vol. 31. Article 1187.
Barykin S., Anna Viktorovna Strimovskaya, Kapustina I., Kadyrova O. V., Senchin P. K., Golubetskaya N., Puchkov A.

The digital engineering landscape's rapid evolution necessitates innovative investment appraisal. Model-Based Systems Engineering (MBSE) provides a holistic, multidimensional approach, empowering stakeholders in informed decision-making and efficient resource allocation. This study delves into MBSE techniques for digital engineering investments, emphasizing their significance for strategic decision-making and resource optimization. A systematic literature review identifies existing MBSE approaches, forming the basis for a comprehensive framework. The proposed framework integrates various dimensions for evaluating digital engineering investments, including technological innovation, organizational capabilities, market dynamics, and financial considerations. By considering these dimensions collectively, organizations can better understand their investments' potential impact and value. Key components of the framework include advanced modelling techniques such as system dynamics and scenario analysis, which enable the exploration of complex interdependencies and uncertainties inherent in digital engineering investments. Additionally, the framework incorporates qualitative assessments alongside quantitative metrics to capture a broader range of factors influencing investment outcomes. By adopting this multidimensional view, decision-makers can better anticipate and mitigate risks while maximizing the value generated from their investments. This abstract's model-based holistic, multidimensional view offers a structured approach to strategic decision-making regarding digital engineering investments. By leveraging this framework, organizations can confidently navigate the complexities of the digital landscape and optimize their investment strategies for long-term success while optimizing resource allocation.

Research target: Economics and Management
Language: English
DOI
Keywords: Digital EngineeringHolistic viewModel-based system engineering (MBSE) approach
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