Editorial: Integrating large language models and operations research for digital transformation and societal governance

In contemporary society, the integration of large language models (LLMs) and operations research (OR) is subtly transforming decision-making, governance and resource allocation. LLMs, rooted in deep learning and big data, bring flexibility and contextual intelligence, while OR contributes mathematical rigor, optimization and systemic clarity. Their convergence represents not only a technological leap but also a catalyst for societal progress and governance innovation. The essence of this synergy lies in combining the interpretive power of LLMs with the precision of OR models to tackle increasingly complex social challenges. Its significance is reflected in several domains: (1) enhancing decision quality and efficiency; (2) balancing personalization and collective equity in service delivery; and (3) improving transparency and legitimacy of digital governance. Across the globe, the joint application of LLMs and OR is receiving growing scholarly and practical attention, marking an emerging frontier of digital transformation (Bommasani, 2021; Xiao et al., 2023; Vial, 2021; Verhoef et al., 2021).As digital societies evolve, multiple governance challenges require new solutions:Traditional OR provides rigorous frameworks but struggles with unstructured and dynamic contexts. LLMs enrich these models by extracting, interpreting and updating social signals, enabling more responsive and resilient governance systems.The joint application of LLMs and OR is proving valuable across a variety of domains:Examples illustrate the potential of this convergence.The deployment of LLM–OR integration in digital transformation exhibits pivotal trends.The convergence of LLMs and OR stands at the frontier of digital transformation, reshaping governance, business and society. Their synergy fosters decision-making that is rigorous yet adaptive, personalized yet collective, efficient yet legitimate. As challenges multiply in an interconnected world, LLM–OR integration may well become a cornerstone of societal resilience and innovation. We call for critical inquiry, interdisciplinary research and international collaboration to guide this emerging paradigm toward inclusive and sustainable futures.

Authors

Institutions

Publication Details

Journal
Digital Transformation and Society
Published
2025-11-06
DOI
https://doi.org/10.1108/dts-11-2025-242
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Editorial: Integrating large language models and operations research for digital transformation and societal governance

Shuo Li
Digital Transformation and Society
Supply Chain Resilience and Risk Management
article

Editorial: Integrating large language models and operations research for digital transformation and societal governance

Shuo Li
article en

Abstract

In contemporary society, the integration of large language models (LLMs) and operations research (OR) is subtly transforming decision-making, governance and resource allocation. LLMs, rooted in deep learning and big data, bring flexibility and contextual intelligence, while OR contributes mathematical rigor, optimization and systemic clarity. Their convergence represents not only a technological leap but also a catalyst for societal progress and governance innovation. The essence of this synergy lies in combining the interpretive power of LLMs with the precision of OR models to tackle increasingly complex social challenges. Its significance is reflected in several domains: (1) enhancing decision quality and efficiency; (2) balancing personalization and collective equity in service delivery; and (3) improving transparency and legitimacy of digital governance. Across the globe, the joint application of LLMs and OR is receiving growing scholarly and practical attention, marking an emerging frontier of digital transformation (Bommasani, 2021; Xiao et al., 2023; Vial, 2021; Verhoef et al., 2021).As digital societies evolve, multiple governance challenges require new solutions:Traditional OR provides rigorous frameworks but struggles with unstructured and dynamic contexts. LLMs enrich these models by extracting, interpreting and updating social signals, enabling more responsive and resilient governance systems.The joint application of LLMs and OR is proving valuable across a variety of domains:Examples illustrate the potential of this convergence.The deployment of LLM–OR integration in digital transformation exhibits pivotal trends.The convergence of LLMs and OR stands at the frontier of digital transformation, reshaping governance, business and society. Their synergy fosters decision-making that is rigorous yet adaptive, personalized yet collective, efficient yet legitimate. As challenges multiply in an interconnected world, LLM–OR integration may well become a cornerstone of societal resilience and innovation. We call for critical inquiry, interdisciplinary research and international collaboration to guide this emerging paradigm toward inclusive and sustainable futures.

Digital Transformation and SocietyVol. 4(4)
Sichuan University (CN), West China Hospital of Sichuan University (CN), Sichuan University of Science and Engineering (CN)
Openalex Percentile: Top 53%
Supply Chain Resilience and Risk Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.