Risk Assessment and Response Strategies: Theory and Cases

Qingyang Zhang

2025

Abstract

In the contemporary business environment deeply intertwined with globalization and digitalization, the risks faced by enterprises exhibit characteristics of complexity, dynamics, and cross-border transmission, making traditional risk management models difficult to cope with new challenges such as supply chain disruptions and technological disruptions. This study aims to construct a dual-track model for risk assessment that integrates qualitative insights and quantitative analysis, as well as a three-dimensional response framework adapted to different risk types. Through a hybrid model of the Delphi method and Adaptive Support Vector Machine (ASVM), combined with the COSO internal control framework and blockchain technology, a systematic analysis of multi-industry cases in manufacturing, finance, and agriculture reveals that structured expert feedback can improve the accuracy of emerging risk identification , while the ASVM model improves the accuracy of default prediction for GEM listed companies by 17% compared to traditional methods. The study further reveals that the effectiveness of risk avoidance strategies depends on the flexible application of real options theory, risk transfer tools need to balance compliance and moderation, and digital risk control systems can increase risk response speed by 80%. This study breaks through the single-dimensional limitation of traditional risk assessment and proposes a "dual-source driven model of internal data-external signals", providing a theoretical framework and operational guidelines for enterprises to build a resilient risk management system. Policy recommendations focus on the establishment of cross-enterprise risk co-governance mechanisms and AI ethics norms.

Paper Citation

in Harvard Style

Zhang Q. (2025). Risk Assessment and Response Strategies: Theory and Cases. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 583-588. DOI: 10.5220/0014366800004718

in Bibtex Style

@conference{emiti25,
author={Qingyang Zhang},
title={Risk Assessment and Response Strategies: Theory and Cases},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={583-588},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014366800004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Risk Assessment and Response Strategies: Theory and Cases
SN - 978-989-758-792-4
AU - Zhang Q.
PY - 2025
SP - 583
EP - 588
DO - 10.5220/0014366800004718
PB - SciTePress