Towards a Socio-Technical Diagnostic Model for Doctoral Research Monitoring in Engineering and Management

Doctoral research monitoring in technical universities can be conceptualized as a socio-technical system in which research trajectories, supervisory practices, institutional rules, digital infrastructures, and assessment norms interact within a broader socioeconomic environment. This article develops a conceptual framework and a Provisional Diagnostic Model (PDM) for Engineering and Management through an integrative conceptual synthesis. The framework specifies system boundaries and hypothesized reinforcing, balancing, and metric-gaming feedback loops. The model separates institutional opportunity conditions from evidence of individual progress and engagement, and reports effective weights and evidence coverage alongside its aggregate score. It distinguishes research novelty from applied relevance through profile-specific contribution rules and introduces a separate, non-compensatory gate for novelty, research integrity, and methodological rigor. Fully specified synthetic examples demonstrate calculation, missing-data treatment, and parameter sensitivity. The framework is neither an empirically validated instrument nor a calibrated system-dynamics simulation. It provides an explicit conceptual specification for future testing and formative doctoral monitoring without treating resource access or output counts as sufficient evidence of research quality.

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Publication Details

Journal
Systems
Published
2026-11-01
DOI
https://doi.org/10.3390/systems14111387
Primary Topic
Doctoral Education Challenges and Solutions
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards a Socio-Technical Diagnostic Model for Doctoral Research Monitoring in Engineering and Management

Daniel Filip, Stelian Brad, Ionuţ Adrian Chis, Florin LUNGU et al.
1 links
Systems
Doctoral Education Challenges and Solutions
article

Towards a Socio-Technical Diagnostic Model for Doctoral Research Monitoring in Engineering and Management

Daniel Filip, Stelian Brad, Ionuţ Adrian Chis, Florin LUNGU, Livia Filip
article en

Abstract

Doctoral research monitoring in technical universities can be conceptualized as a socio-technical system in which research trajectories, supervisory practices, institutional rules, digital infrastructures, and assessment norms interact within a broader socioeconomic environment. This article develops a conceptual framework and a Provisional Diagnostic Model (PDM) for Engineering and Management through an integrative conceptual synthesis. The framework specifies system boundaries and hypothesized reinforcing, balancing, and metric-gaming feedback loops. The model separates institutional opportunity conditions from evidence of individual progress and engagement, and reports effective weights and evidence coverage alongside its aggregate score. It distinguishes research novelty from applied relevance through profile-specific contribution rules and introduces a separate, non-compensatory gate for novelty, research integrity, and methodological rigor. Fully specified synthetic examples demonstrate calculation, missing-data treatment, and parameter sensitivity. The framework is neither an empirically validated instrument nor a calibrated system-dynamics simulation. It provides an explicit conceptual specification for future testing and formative doctoral monitoring without treating resource access or output counts as sufficient evidence of research quality.

SystemsVol. 14(11)
Openalex Percentile: Top 34%
Doctoral Education Challenges and Solutions
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Towards a Socio-Technical Diagnostic Model for Doctoral Research Monitoring in Engineering and Management — Daniel Filip, Stelian Brad, et al. · Systems (2026) | TGRS Research Map | TGRS