CEO Ideologically (In)Congruent Activism and Investor Reactions: An Attribution of CEO Intentions Perspective

Abstract The phenomenon of chief executive officers (CEOs) taking activism stances on contested sociopolitical issues is increasing, yet it remains unclear how observing investors discern CEO intentions behind activism engagements, thereby shaping their judgments and subsequent reactions. By relaxing the assumption that CEO activism is an unabashed expression of personal beliefs, we propose the concept of CEO ideologically (in)congruent activism and develop a framework wherein investors may attribute CEO intentions underlying incongruent (versus congruent) activism engagements as more organization‐driven (versus self‐driven) interest pursuits, thereby leading to more positive investor evaluations and reactions. Furthermore, we argue that the positive effect of CEO ideologically incongruent activism on investor reactions will be amplified when the CEO owns a higher level of stock ownership but weakened when the firm receives a greater corporate social responsibility (CSR) rating. We corroborate our propositions using a sample of CEO activism events for S&P 500 firms from 2012 to 2021. Our findings demonstrate the heterogeneity and critical influence of CEO intentions behind activism engagements and shed light on how investors integrate multi‐informational cues when evaluating and reacting to managerial incongruent behaviours.

Authors

Institutions

Publication Details

Journal
Journal of Management Studies
Published
2026-10-16
DOI
https://doi.org/10.1111/joms.70175
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

CEO Ideologically (In)Congruent Activism and Investor Reactions: An Attribution of CEO Intentions Perspective

Longwang Fu, Miao Yun
Journal of Management Studies
Corporate Social Responsibility Reporting
article

CEO Ideologically (In)Congruent Activism and Investor Reactions: An Attribution of CEO Intentions Perspective

Longwang Fu, Miao Yun
article en

Abstract

Abstract The phenomenon of chief executive officers (CEOs) taking activism stances on contested sociopolitical issues is increasing, yet it remains unclear how observing investors discern CEO intentions behind activism engagements, thereby shaping their judgments and subsequent reactions. By relaxing the assumption that CEO activism is an unabashed expression of personal beliefs, we propose the concept of CEO ideologically (in)congruent activism and develop a framework wherein investors may attribute CEO intentions underlying incongruent (versus congruent) activism engagements as more organization‐driven (versus self‐driven) interest pursuits, thereby leading to more positive investor evaluations and reactions. Furthermore, we argue that the positive effect of CEO ideologically incongruent activism on investor reactions will be amplified when the CEO owns a higher level of stock ownership but weakened when the firm receives a greater corporate social responsibility (CSR) rating. We corroborate our propositions using a sample of CEO activism events for S&P 500 firms from 2012 to 2021. Our findings demonstrate the heterogeneity and critical influence of CEO intentions behind activism engagements and shed light on how investors integrate multi‐informational cues when evaluating and reacting to managerial incongruent behaviours.

Journal of Management Studies
City University of Hong Kong (HK), Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 9%
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.