Future of artificial intelligence and its influence on supply chain risk management–A systematic review

AD Ganesh, P Kalpana - Computers & Industrial Engineering, 2022 - Elsevier
Abstract Supply Chain Risk Management (SCRM) is a rapidly growing field of research
encompassing identification, assessment, mitigation, and monitoring of the risks or …

Influences of artificial intelligence and blockchain technology on financial resilience of supply chains

S Gupta, S Modgil, TM Choi, A Kumar… - International Journal of …, 2023 - Elsevier
Emerging technologies, such as artificial intelligence (AI) and blockchain technology (BT),
have revolutionized the way businesses are managed nowadays, whereas the focus on …

An overview of trends in information systems: Emerging technologies that transform the information technology industry

H Taherdoost - Taherdoost, H.(2023). An overview of trends in …, 2023 - papers.ssrn.com
Technology is mainly characterized by being changed rapidly. In other words, it is
recognized as the ever-changing playing field. Those who aim to stay in the technology field …

A benchmark of machine learning approaches for credit score prediction

V Moscato, A Picariello, G Sperlí - Expert Systems with Applications, 2021 - Elsevier
Credit risk assessment plays a key role for correctly supporting financial institutes in defining
their bank policies and commercial strategies. Over the last decade, the emerging of social …

[PDF][PDF] Dynamic voting classifier for risk identification in supply chain 4.0.

AA Salamai, ESM El-kenawy… - Computers, Materials & …, 2021 - cdn.techscience.cn
Supply chain 4.0 refers to the fourth industrial revolution's supply chain management
systems, which integrate the supply chain's manufacturing operations, information …

[HTML][HTML] Lessons learned from HIAD 2.0: Inspection and maintenance to avoid hydrogen-induced material failures

A Campari, AJN Akel, F Ustolin, A Alvaro… - Computers & Chemical …, 2023 - Elsevier
Hydrogen has the potential to make countries energetically self-sufficient and independent
in the long term. Nevertheless, its extreme combustion properties and its capability of …

A data mining-based framework for supply chain risk management

ME Kara, SÜO Fırat, A Ghadge - Computers & Industrial Engineering, 2020 - Elsevier
Increased risk exposure levels, technological developments and the growing information
overload in supply chain networks drive organizations to embrace data-driven approaches …

Recent development in big data analytics for business operations and risk management

TM Choi, HK Chan, X Yue - IEEE transactions on cybernetics, 2016 - ieeexplore.ieee.org
“Big data” is an emerging topic and has attracted the attention of many researchers and
practitioners in industrial systems engineering and cybernetics. Big data analytics would …

Mediating role of enterprise risk management practices between business strategy and SME performance

AU Rehman, M Anwar - Small Enterprise Research, 2019 - Taylor & Francis
Increased competition has highlighted the need for more effective firm level strategies for
SMEs to achieve competitive advantage. In fact, SMEs face higher risks in terms of …

Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence

A Farrokhi, F Shirazi, N Hajli, M Tajvidi - Industrial marketing management, 2020 - Elsevier
Artificial Intelligence (AI) could be an important foundation of competitive advantage in the
market for firms. As such, firms use AI to achieve deep market engagement when the firm's …