Editorial Introduction to Issue 43 of CSIMQ: Data-Driven Approaches for Complex Dynamic Environments

Authors

DOI:

https://doi.org/10.7250/csimq.2025-43.00

Keywords:

Business Ecosystem, Framework, Analytics, Visualization, Generative AI, Digital Supply Chain, Multi-Criteria Decision-Making, E-commerce, Environment, IoT

Abstract

The rapid evolution of digital technologies continues to reshape complex systems across diverse domains. Business ecosystems, supply chains, consumer behavior, and environmental monitoring are domains where organizational and technological change have been constant over the years. This issue of Complex Systems Informatics and Modeling Quarterly (CSIMQ) presents five cutting-edge studies using data-driven approaches to address challenges in these areas. Through these contributions, the articles offer systematic reviews, advanced decision-making frameworks, psychological issues modeling, computational justice, and IoT innovations, advancing theoretical understanding and practical solutions for managing complexity in dynamic environments. Together, the articles contribute to the interdisciplinary mission of CSIMQ by bridging informatics, modeling, and systems thinking to drive innovation.

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Published

31.07.2025

How to Cite

Wautelet, Y. (2025). Editorial Introduction to Issue 43 of CSIMQ: Data-Driven Approaches for Complex Dynamic Environments. Complex Systems Informatics and Modeling Quarterly, 43, I-II. https://doi.org/10.7250/csimq.2025-43.00