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Systems, Volume 13, Issue 11

November 2025 - 115 articles

Cover Story: Generative artificial intelligence (GenAI) presents a contradiction: teaching cutting-edge tools while deepening disciplinary knowledge. This case study of a systems engineering seminar applied an integrated, ASIT-inspired solution. Students engaged in a GenAI-assisted drone design challenge. The study hypothesized that GenAI engagement improves proficiency (H1) and strengthens disciplinary understanding (H2). The evidence strongly supports both findings. GenAI enabled time-prohibitive project-based learning tasks, allowing students to internalize advanced material through application. Students progressed to sophisticated skills, including building custom GenAI tools for specialized MBSE modeling. Integrating GenAI serves as a valuable aid in developing engineering skills, creativity, and critical thinking, providing an "antifragile" model for engineering education. View this paper
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Articles (115)

  • Article
  • Open Access
821 Views
26 Pages

31 October 2025

This study investigates how perceived value influences user satisfaction and usage intention toward AI Digital Human Advisors in digital finance, drawing on the Stimulus–Organism–Response (S–O–R) framework. Perceived value is...

  • Systematic Review
  • Open Access
851 Views
22 Pages

30 October 2025

In a dynamic modern business environment, project management has been receiving significant attention as a way to improve organizational practices and keep pace with market needs in various industries. Consequently, a growing focus was placed on comp...

  • Article
  • Open Access
472 Views
15 Pages

30 October 2025

Recent investigations on the relationship between economic performance and COVID-19 mortality showed positive and negative associations of those variables on a national level. We propose a model that is composed of two branches to explain this contra...

  • Article
  • Open Access
590 Views
19 Pages

30 October 2025

With the acceleration of the Fourth Industrial Revolution, the South Korean government has promoted the Smart Factory Construction Support Project as a core strategy for the digital transformation of manufacturing, particularly targeting small and me...

  • Article
  • Open Access
727 Views
25 Pages

30 October 2025

At present, the construction of China’s shared manufacturing platform is developing rapidly. However, it is still in the stage of practical exploration, facing numerous challenges, such as difficulties in resource integration, immature business...

  • Review
  • Open Access
1,626 Views
45 Pages

30 October 2025

This systematic search with narrative synthesis examines metaverse business models and their shift toward immersive virtual ecosystems. Following the PRISMA flow for identification and screening to structure transparency, we review 91 publications to...

  • Review
  • Open Access
1,694 Views
25 Pages

Artificial Intelligence Applications in Risk Management Within Integrated Management Systems: A Review

  • Lucian Ispas,
  • Costel Mironeasa,
  • Traian-Lucian Severin,
  • Delia-Aurora Cerlincă and
  • Silvia Mironeasa

30 October 2025

Artificial intelligence is increasingly used in all fields, especially in the area of risk management within Integrated Management Systems (IMS). The paper aims to highlight the role of artificial intelligence (AI) in risk management, therefore provi...

  • Review
  • Open Access
802 Views
25 Pages

30 October 2025

Super-utilization, defined as frequent and often avoidable use of emergency departments and hospital admissions, has attracted significant policy and research attention due to its impact on healthcare costs. Over the past decade, care management and...

  • Review
  • Open Access
937 Views
22 Pages

30 October 2025

Polycentric governance enables decentralized yet coherent multilevel decision-making by fostering alignment across governance, policy, and strategic goals. In the United States (U.S.), a prominent global climate actor, this polycentric structure is b...

  • Article
  • Open Access
952 Views
19 Pages

A BERT–LSTM–Attention Framework for Robust Multi-Class Sentiment Analysis on Twitter Data

  • Xinyu Zhang,
  • Yang Liu,
  • Tianhui Zhang,
  • Lingmin Hou,
  • Xianchen Liu,
  • Zhen Guo and
  • Aliya Mulati

30 October 2025

This paper proposes a hybrid deep learning model for robust and interpretable sentiment classification of Twitter data. The model integrates Bidirectional Encoder Representations from Transformers (BERT)-based contextual embeddings, a Bidirectional L...

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Systems - ISSN 2079-8954