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Although Model-Based Systems Engineering (MBSE) is quickly becoming adopted in Systems Engineering (SE), there have not been many studies evaluating literature to determine the perceived value of implementing MBSE. This research first identifies and discusses previous studies on the justification or rejection of MBSE. This study investigates how the SE community perceives the value of MBSE by coding and analyzing positive and negative descriptions of MBSE; perceived benefits and drawbacks of implementing MBSE; and the evidence and metrics used to substantiate and measure each claim about MBSE. From 60 academic sources, this study collected and coded over 2900 claims on MBSE. Our findings determine the most positive attributes of MBSE to be Verification & Validation Capability, Consistency, Reasoning, and Risk & Error Manageability, while the most negative attributes were Approach Understandability, Acceptability, Familiarity, and Approach Complexity. The most-stated benefits were Reduced Time, Better Communication/Information Sharing, Reduced Costs, and Better Analysis Capability. The most claimed drawbacks were Increased Costs, Increased Time, Increased Effort, and Worsened Capability. A large share of claims (47%) about MBSE was based on author opinions. Most claims (86%) were not substantiated by a metric.

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Modern systems rely on contributions from many disciplines, requiring a systems perspective when evaluating project outcomes. This investigation provides insight into categorizations of influencers on project outcomes across a range of disciplines and the challenges in categorizing perceived influencers on project outcomes when multiple disciplines are collaborating on a project. This research identifies 390 categorizations from 12 disciplines through systematic review, extracts over 4000 perceived influencers on project outcomes as metadata and analyses the categorizations with a focus on disciplinary similarities. The results of the meta‐analysis indicate that contents of categorizations of perceived influencers on project outcomes are diverse, both within and across disciplines, highlighting the significance of understanding the disciplinary contributions to project outcomes, in order to develop successful systems. Findings indicate that practising systems engineers need to consider the many perspectives that are entangled in the design of complex multidisciplinary systems into a holistic view of the system.

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