Command and code: how CEO military experience and AI curb corporate greenwashing

Purpose In response to increasing stakeholder and societal demands for environmental responsibility, some firms may engage in greenwashing to balance reputational pressures with cost considerations. Drawing on upper echelons theory, this study examines the impact of CEO military experience and AI implementation on firm greenwashing. Design/methodology/approach This study utilizes a panel dataset comprising 1,286 Chinese A-share listed firms traded on the Shanghai and Shenzhen stock exchanges over the period from 2015 to 2022. To identify causal effects, a difference-in-differences (DID) estimation strategy is employed. Findings The findings reveal that firms led by CEOs with military backgrounds are significantly less likely to engage in greenwashing. Moreover, this negative relationship is amplified by the level of AI implementation within the firm. Both the breadth and depth of AI implementation enhance the mitigating effect of CEO’s military experience on greenwashing. Additional heterogeneity analyses indicate that the effect varies by firm ownership structure and industry pollution intensity. Originality/value These findings contribute to the literature on corporate sustainability by highlighting the role of executive characteristics and technological innovation in shaping environmental disclosure practices.

Authors

Institutions

Publication Details

Journal
Industrial Management & Data Systems
Published
2026-06-17
DOI
https://doi.org/10.1108/imds-07-2025-1024
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

Command and code: how CEO military experience and AI curb corporate greenwashing

Miao Hu, Shenyang Jiang, Wenlan Zhang, Xiao Wang et al.
Industrial Management & Data Systems
Corporate Social Responsibility Reporting
article

Command and code: how CEO military experience and AI curb corporate greenwashing

Miao Hu, Shenyang Jiang, Wenlan Zhang, Xiao Wang, Qianqian Han
article en

Abstract

Purpose In response to increasing stakeholder and societal demands for environmental responsibility, some firms may engage in greenwashing to balance reputational pressures with cost considerations. Drawing on upper echelons theory, this study examines the impact of CEO military experience and AI implementation on firm greenwashing. Design/methodology/approach This study utilizes a panel dataset comprising 1,286 Chinese A-share listed firms traded on the Shanghai and Shenzhen stock exchanges over the period from 2015 to 2022. To identify causal effects, a difference-in-differences (DID) estimation strategy is employed. Findings The findings reveal that firms led by CEOs with military backgrounds are significantly less likely to engage in greenwashing. Moreover, this negative relationship is amplified by the level of AI implementation within the firm. Both the breadth and depth of AI implementation enhance the mitigating effect of CEO’s military experience on greenwashing. Additional heterogeneity analyses indicate that the effect varies by firm ownership structure and industry pollution intensity. Originality/value These findings contribute to the literature on corporate sustainability by highlighting the role of executive characteristics and technological innovation in shaping environmental disclosure practices.

Industrial Management & Data Systems
Qingdao University (CN), Tongji University (CN), Hong Kong Polytechnic University (HK), Soochow University (TW)
Openalex Percentile: Top 6%
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.