‘Do as I Say, Not as I Do’: Understanding Moral Rationalisations and Disengagements Behind ‘Parochial’ Corrupt Actions

Although people overwhelmingly reject corruption in principle, they often tolerate or even engage in it in their daily lives across many countries. Existing research suggests that people may do so because of strong social norms or out of necessity. Building on theories of moral disengagement and rationalisations of corruption, this paper examines how individuals make sense of engaging in corrupt practices they may disapprove of, focusing on the misalignment between injunctive norms (what people ought to do) and descriptive norms (what people do). The study investigates “parochial” corruption in Portugal, a widespread but normatively disapproved practice. Using survey data and focus group discussions, the findings reveal that while ‘parochial’ corruption is generally undesirable, individuals feel compelled to engage due to a perception that ‘everyone does it’, and that corruption is an effective path to overcome systemic shortcomings. Depending on the context, the corrupt action is not judged primarily as corruption and is justifiable through moral disengagement strategies, which unfold in a dynamic process. By providing empirical evidence of how corruption is rationalised in situations of normative conflict, this study contributes to corruption, social norms, and moral disengagement research, while offering insights regarding contexts where corruption is simultaneously condemned and condoned.

Authors

Institutions

Publication Details

Journal
Public Integrity
Published
2026-08-26
DOI
https://doi.org/10.1080/10999922.2026.2706991
Primary Topic
Corruption and Economic Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

‘Do as I Say, Not as I Do’: Understanding Moral Rationalisations and Disengagements Behind ‘Parochial’ Corrupt Actions

Luís de Sousa, Marcelo Moriconi, Inês Ascenso
Public Integrity
Corruption and Economic Development
article

‘Do as I Say, Not as I Do’: Understanding Moral Rationalisations and Disengagements Behind ‘Parochial’ Corrupt Actions

Luís de Sousa, Marcelo Moriconi, Inês Ascenso
article en

Abstract

Although people overwhelmingly reject corruption in principle, they often tolerate or even engage in it in their daily lives across many countries. Existing research suggests that people may do so because of strong social norms or out of necessity. Building on theories of moral disengagement and rationalisations of corruption, this paper examines how individuals make sense of engaging in corrupt practices they may disapprove of, focusing on the misalignment between injunctive norms (what people ought to do) and descriptive norms (what people do). The study investigates “parochial” corruption in Portugal, a widespread but normatively disapproved practice. Using survey data and focus group discussions, the findings reveal that while ‘parochial’ corruption is generally undesirable, individuals feel compelled to engage due to a perception that ‘everyone does it’, and that corruption is an effective path to overcome systemic shortcomings. Depending on the context, the corrupt action is not judged primarily as corruption and is justifiable through moral disengagement strategies, which unfold in a dynamic process. By providing empirical evidence of how corruption is rationalised in situations of normative conflict, this study contributes to corruption, social norms, and moral disengagement research, while offering insights regarding contexts where corruption is simultaneously condemned and condoned.

Public Integrity
University of Lisbon (PT), Iscte – Instituto Universitário de Lisboa (PT)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Corruption and Economic Development
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.