± HEALTH The significant advancements in applying artificial intelligence (AI) to healthcare decision-making, medical…− CLIMATE Abstract Deep learning workloads have experienced rapid growth which has resulted in higher energy consumptio…− EDUCATION Generative artificial intelligence (Gen AI) has taken the academic world by storm. This G.I.F.T.S. paper argu…± HEALTH Spontaneous intracerebral hemorrhage (ICH) is a highly lethal and disabling form of stroke, in which hematoma…− HEALTH Aim To explore the notion of post-humanism and the impact of artificial intelligence (AI) on society, nursing…± EDUCATION Aim To examine nursing academics' perceptions and experiences of artificial intelligence (AI) integration in…+ CRIME Riverbank erosion is a catastrophic geomorphological hazard that poses severe ecological and socio-economic c…+ HEALTH Immunotherapy resistance in lung adenocarcinoma (LUAD) remains a critical clinical challenge, and the mechani…
TruaceTracing the truth around AIMonday, August 17, 2026
Subscribe
Science·G Space·Evidence-backed gain·Published 2026-08-12

Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation

Abstract: This research examines the transformative potential of artificial intelligence (AI) in general and Generative AI (GAI) in particular in supply chain and operations management (SCOM).Through the lens of the resource-based view and based on key AI capabilities such as learning, perception, prediction, interaction, adaptation, and reasoning, we explore how AI and GAI can impact 13 distinct SCOM decision-making areas.These areas include but are not limited to demand forecasting, inventory management, supply chain de…

TRV-2026-0739Peer-reviewedPermanent record — cite & verify
Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation

"Shipping Container" by PughPugh is licensed under CC BY 2.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/2.0/.

The quick read

Researchers developed a capability-based framework to analyze where artificial intelligence and generative AI fit into supply chain and operations management. Using capabilities like learning, perception, prediction, interaction, adaptation and reasoning, they mapped applications across 13 decision areas including demand forecasting, inventory management, supply chain design and risk management.

The framework matters because it translates general AI capabilities into specific operational use cases that managers can evaluate for efficiency, accuracy and resilience improvements. As of the January 2024 publication, the contribution remains a conceptual guide for implementation and skills development, with actual performance gains and adoption barriers still to be validated in practice.

Main points
  • Analyzes AI and Generative AI through resource-based view using capabilities such as learning, perception, prediction, interaction, adaptation, and reasoning.
  • Maps capabilities to 13 SCOM decision areas including demand forecasting, inventory management, supply chain design, and risk management.
  • Proposes practical framework for practitioners to evaluate processes and prioritize investments and skills development.
Gain

Generative AI applied to supply chain and operations management can enhance decision-making and optimize processes across areas like demand forecasting and inventory management to improve efficiency, accuracy, and resilience.

The rundown

The study uses the resource-based view to organize AI capabilities and examines how they apply to SCOM. It lists 13 decision-making areas and positions the framework as guidance for managers to assess operational processes.

By publication date January 31 2024, the work presents a conceptual framework and potential applications rather than measured deployment results, focusing on where AI and GAI can be applied for process optimisation and investment prioritisation.

Sources

Reader signal

How should this claim be treated?

The debate