Perspective Chapter: Cybersecurity and Risk Management—New Frontiers in Corporate Governance DOI Creative Commons
Zohaib Riaz Pitafi, Tahir Mumtaz Awan

IntechOpen eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: May 13, 2024

This chapter investigates the evolving landscape of cybersecurity and risk management, highlighting their newfound prominence in corporate governance. The narrative emphasizes integral role boards executives orchestrating robust governance, recognizing it as a strategic necessity rather than mere technical aspect. Legal regulatory considerations, notably General Data Protection Regulation (GDPR) California Consumer Privacy Act (CCPA), are explored critical dimensions influencing integration into governance frameworks is dissected, underscoring importance aligning strategies with enterprise management. further explores dynamic landscape, detailing surge sophisticated threats such ransomware, phishing, state-sponsored cyber activities. It concludes by outlining best practices, including proactive assessments, fostering security awareness, continuous evolution future outlook encompasses emerging technologies, international collaboration, board-level decision-making, presenting holistic vision for resilient digital age.

Language: Английский

Identifying pharmaceutical technology opportunities from the perspective of adverse drug reactions: Machine learning in multilayer networks DOI
Weiyu Zhao, Lijie Feng, Yicheng Feng

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 201, P. 123232 - 123232

Published: Feb. 10, 2024

Language: Английский

Citations

8
Tracking and predicting technological knowledge interactions between artificial intelligence and wind power: Multimethod patent analysis DOI
Jinfeng Wang, Lu Cheng, Lijie Feng

et al.

Advanced Engineering Informatics, Journal Year: 2023, Volume and Issue: 58, P. 102177 - 102177

Published: Sept. 27, 2023

Language: Английский

Citations

16
Collaboration and sustainability-driven requirement prioritization for cloud platform planning oriented to value chain lifecycle services DOI

Xiahui Liu,

Qianwang Deng, Saibo Liu

et al.

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 110973 - 110973

Published: Feb. 1, 2025

Language: Английский

Citations

0
A systematic literature review of sustainable design of complex customised products in Industry 5.0: connotation, methodologies and prospects DOI
Jiajun Liu, Rong Li, Haizhu Zhang

et al.

Journal of Engineering Design, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 38

Published: March 17, 2025

Language: Английский

Citations

0
Unsupervised topic labeling and opportunity model of social media data for enhancing automotive product design processes DOI Creative Commons
Broto Widya Hartanto,

Subagyo Subagyo,

I Gusti Bagus Budi Dharma

et al.

Data and Information Management, Journal Year: 2025, Volume and Issue: unknown, P. 100103 - 100103

Published: May 1, 2025

Language: Английский

Citations

0
Automatic requirements elicitation from user-generated content: A review of data, methods, and representations DOI Creative Commons
Mengsi Cai, Wenchuan Yang, Yonghao Du

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 156, P. 111110 - 111110

Published: May 21, 2025

Language: Английский

Citations

0
Survey of automated methods for design and assessment of smart products DOI
Anoop Kumar Sinha,

Young Ju Choi,

David W. Rosen

et al.

Computers in Industry, Journal Year: 2025, Volume and Issue: 170, P. 104316 - 104316

Published: May 24, 2025

Language: Английский

Citations

0
Smart product service resources composition optimization for smart product service system in context of industrial IoT platform DOI
Zhihua Chen,

Yiwei Su,

Jing Zhang

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102700 - 102700

Published: July 10, 2024

Language: Английский

Citations

3
Two-stage dynamic topic modeling approach for identifying consumer demands of animated series DOI
Duokui He, Zhongjun Tang, Qianqian Chen

et al.

Multimedia Systems, Journal Year: 2025, Volume and Issue: 31(3)

Published: May 5, 2025

Language: Английский

Citations

0
Optimized Attention Enhanced Temporal Graph Convolutional Network Espoused Research of Intelligent Customer Service System based on Natural Language Processing Technology DOI Creative Commons

Zhifeng Wei,

Hongyan Wang, Qiang Xu

et al.

Applied Artificial Intelligence, Journal Year: 2024, Volume and Issue: 38(1)

Published: March 19, 2024

Consumers have begun to move their attention away from product functioning and toward value probably extracted items. Companies use customer service systems (CSS) in response this trend, which are business models that give clients with not solitary tangible items as well intangible facilities. Even substantial investigation on Smart CSS frameworks, rare of frameworks considered customers active data producers actively creating for the CSS. Furthermore, majority them offered a generic remedy rather than personalized one. To classify systems, performance metrics, such precision, accuracy, F1-score, Recall (Sensitivity), Specificity, Error rate, Computation time, RoC considered. The AETGCN-NGOA-CSS approach attains 19.11%, 24.12% 28.13% high specificity, 24.93%, 23.04%, 9.51% lower computation 15.2%, 25.45% 13.91% higher ROC 8.45%, 20.98%, 27.55% accuracy compared existing methods, developing recommendation system smart depend unsupervised learning model (CSS-BERT), Cognitive Decision-Making approaches Data-driven Retail Intelligence: Consumer Sentiments, Choices, Shopping Behaviors (CSS-CDMA), e-Commerce Online Intelligent Customer Service System under Fuzzy Control (CSS-FFNN), respectively.

Language: Английский

Citations

1