Digital transformation, dynamic capabilities and ESG performance: post-TCFD UK evidence

Purpose This study examines how digital transformation (DT) affects environmental, social, and governance (ESG) performance and whether exploitative and explorative DT contribute differently under the UK's post- Task Force on Climate-related Financial Disclosures (TCFD) regime. Design/methodology/approach Grounded in Ambidexterity Theory and Dynamic Capability Theory (DCT), the study constructs firm-level DT and ESG measures from unstructured annual and sustainability disclosures using a Natural Language Processing (NLP)–Entropy framework. Panel data for Financial Times Stock Exchange (FTSE)-listed non-financial firms (2020–2024) are analysed using fixed-effects regressions with firm-clustered standard errors. Mediation tests evaluate CSR and total factor productivity (TFP) as capability-based mechanisms. Findings DT is positively associated with ESG performance. Both exploitative and explorative DT exhibit significant positive relationships with ESG, indicating that ambidextrous digitalisation supports sustainability improvements. Mediation via CSR and TFP is statistically weak, suggesting that the DT–ESG linkage is not transmitted through these proxies within the study horizon and may operate primarily through direct digital mechanisms. Research limitations/implications The study focuses on FTSE non-financial firms and a five-year window, which may constrain generalisability and the detection of longer-run capability maturation. Future work should extend the time horizon, employ alternative capability measures, and apply stronger causal identification designs. Practical implications Firms can improve ESG outcomes by pursuing both exploitative and explorative digital initiatives, while policymakers can reinforce gains by strengthening disclosure quality and digital reporting infrastructures. Originality/value The study integrates digital ambidexterity and DCT, introduces an NLP–Entropy measurement approach for DT and ESG, and provides evidence from a disclosure-intensive UK setting.

Authors

Institutions

Publication Details

Journal
Industrial Management & Data Systems
Published
2026-10-16
DOI
https://doi.org/10.1108/imds-12-2025-1889
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital transformation, dynamic capabilities and ESG performance: post-TCFD UK evidence

Atia Alam, Myra Nadeem
Industrial Management & Data Systems
Corporate Social Responsibility Reporting
article

Digital transformation, dynamic capabilities and ESG performance: post-TCFD UK evidence

Atia Alam, Myra Nadeem
article en

Abstract

Purpose This study examines how digital transformation (DT) affects environmental, social, and governance (ESG) performance and whether exploitative and explorative DT contribute differently under the UK's post- Task Force on Climate-related Financial Disclosures (TCFD) regime. Design/methodology/approach Grounded in Ambidexterity Theory and Dynamic Capability Theory (DCT), the study constructs firm-level DT and ESG measures from unstructured annual and sustainability disclosures using a Natural Language Processing (NLP)–Entropy framework. Panel data for Financial Times Stock Exchange (FTSE)-listed non-financial firms (2020–2024) are analysed using fixed-effects regressions with firm-clustered standard errors. Mediation tests evaluate CSR and total factor productivity (TFP) as capability-based mechanisms. Findings DT is positively associated with ESG performance. Both exploitative and explorative DT exhibit significant positive relationships with ESG, indicating that ambidextrous digitalisation supports sustainability improvements. Mediation via CSR and TFP is statistically weak, suggesting that the DT–ESG linkage is not transmitted through these proxies within the study horizon and may operate primarily through direct digital mechanisms. Research limitations/implications The study focuses on FTSE non-financial firms and a five-year window, which may constrain generalisability and the detection of longer-run capability maturation. Future work should extend the time horizon, employ alternative capability measures, and apply stronger causal identification designs. Practical implications Firms can improve ESG outcomes by pursuing both exploitative and explorative digital initiatives, while policymakers can reinforce gains by strengthening disclosure quality and digital reporting infrastructures. Originality/value The study integrates digital ambidexterity and DCT, introduces an NLP–Entropy measurement approach for DT and ESG, and provides evidence from a disclosure-intensive UK setting.

Industrial Management & Data Systems
Kinnaird College for Women University (PK)
Industry, innovation and infrastructure, Climate action
Openalex Percentile: Top 8%
Corporate Social Responsibility Reporting
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.