The impact of digital transformation on corporate greenwashing: a meta-analysis

Purpose This study synthesizes the emerging empirical literature on the relationship between digital transformation and corporate greenwashing. It estimates the average association between digital transformation and greenwashing and examines whether this association varies according to construct operationalization, empirical design, and firm size. Design/methodology/approach The meta-analysis draws on 24 empirical effect-size estimates covering 269,857 firm-year observations. The evidence base is concentrated in Chinese listed firms. Random-effects models were used to estimate the pooled association. Moderator analyses examined differences by greenwashing measure, digital transformation measure, technology-family classification, empirical analysis type, and sample-group composition. Publication-bias and robustness checks included funnel-plot inspection, Duval and Tweedie's trim-and-fill procedure, Egger's regression test, leave-one-out diagnostics, and influence-based exclusion tests. Findings The results show a statistically significant but small negative association between digital transformation and greenwashing. Firms with higher levels of digital transformation tend, on average, to report lower levels of greenwashing. However, the relationship is highly heterogeneous. Moderator analyses indicate that the estimated association differs by greenwashing measure, technology-family classification, empirical analysis type, and sample-group composition, whereas the simple distinction between direct and indirect digital transformation measures does not significantly explain between-study variation. Robustness checks indicate that the pooled association remains negative across estimator-restricted sensitivity analyses and leave-one-out diagnostics. Originality/value This study provides one of the first meta-analytic syntheses of the digital transformation-greenwashing relationship. Its contribution lies less in establishing a universal anti-greenwashing effect of digital transformation and more in clarifying that the observed association is small, heterogeneous, measurement-sensitive, and currently grounded mainly in China-based firm-level evidence.

Authors

Institutions

Publication Details

Journal
Industrial Management & Data Systems
Published
2026-06-25
DOI
https://doi.org/10.1108/imds-01-2026-0174
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of digital transformation on corporate greenwashing: a meta-analysis

Aykut Arslan, Abdülkadir Akturan
Industrial Management & Data Systems
Digital Transformation in Industry
article

The impact of digital transformation on corporate greenwashing: a meta-analysis

Aykut Arslan, Abdülkadir Akturan
article en

Abstract

Purpose This study synthesizes the emerging empirical literature on the relationship between digital transformation and corporate greenwashing. It estimates the average association between digital transformation and greenwashing and examines whether this association varies according to construct operationalization, empirical design, and firm size. Design/methodology/approach The meta-analysis draws on 24 empirical effect-size estimates covering 269,857 firm-year observations. The evidence base is concentrated in Chinese listed firms. Random-effects models were used to estimate the pooled association. Moderator analyses examined differences by greenwashing measure, digital transformation measure, technology-family classification, empirical analysis type, and sample-group composition. Publication-bias and robustness checks included funnel-plot inspection, Duval and Tweedie's trim-and-fill procedure, Egger's regression test, leave-one-out diagnostics, and influence-based exclusion tests. Findings The results show a statistically significant but small negative association between digital transformation and greenwashing. Firms with higher levels of digital transformation tend, on average, to report lower levels of greenwashing. However, the relationship is highly heterogeneous. Moderator analyses indicate that the estimated association differs by greenwashing measure, technology-family classification, empirical analysis type, and sample-group composition, whereas the simple distinction between direct and indirect digital transformation measures does not significantly explain between-study variation. Robustness checks indicate that the pooled association remains negative across estimator-restricted sensitivity analyses and leave-one-out diagnostics. Originality/value This study provides one of the first meta-analytic syntheses of the digital transformation-greenwashing relationship. Its contribution lies less in establishing a universal anti-greenwashing effect of digital transformation and more in clarifying that the observed association is small, heterogeneous, measurement-sensitive, and currently grounded mainly in China-based firm-level evidence.

Industrial Management & Data Systems
Piri Reis University (TR)
Reduced inequalities
Openalex Percentile: Top 7%
Digital Transformation in Industry
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.