An ethical advantage of autistic employees in the workplace.

Front Psychol

Department of Psychology, York University, Toronto, ON, Canada.

Published: March 2024

AI Article Synopsis

  • The research challenges the typical view of autistic traits as deficits by highlighting potential strengths, such as reduced sensitivity to social influences, allowing autistic employees to observe and report operational or ethical issues more effectively.
  • Autistic employees demonstrated lower levels of moral disengagement compared to their nonautistic counterparts, suggesting they may have stronger ethical decision-making.
  • The findings indicate that while moral disengagement impacted the likelihood of intervening in organizational dysfunctions, there were no significant differences in the intervention tendencies between autistic and nonautistic employees when moral disengagement was considered.

Article Abstract

Differences between autistic and nonautistic people are often framed as deficits. This research considers whether some of these differences might actually be strengths. In particular, autistic people tend to be less sensitive to their social environment than nonautistic people who are easily influenced by the judgments, opinions, beliefs and actions of others. Because autistic people are less susceptible to social influence, as employees they are more likely to take action when they witness an operational inefficiency or an ethical problem in the organization. By reporting problems, autistic employees may contribute to the introduction of innovations and improvements in organizational processes and effectiveness that result in superior performance. This paper considers whether and the extent to which these differences between autistic and nonautistic employees are moderated by "moral disengagement," a set of interrelated cognitive mechanisms that allow people to make unethical decisions by deactivating moral self-regulatory processes. While previous research has shown that moral disengagement is related to unethical decisions, there is no research on whether and the extent to which autistic people are vulnerable to moral disengagement. Thirty-three autistic employees and 34 nonautistic employees completed an on-line survey to determine whether differences between autistic and nonautistic employees with regards to (1) likelihood they would voice concerns about organizational dysfunctions, and (2) degree to which they were influenced by the presence of others when deciding to intervene, are moderated by individual differences in moral disengagement. As predicted, autistic participants scored lower on moral disengagement than nonautistic participants. In terms of the moderating effects of moral disengagement, the results are mixed. Although moral disengagement reduced intervention likelihood, there was not a difference between autistic and nonautistic employees in the degree to which intervention likelihood was changed by an individual's level of moral disengagement. However, there was a difference between autistic and nonautistic employees in the extent to which acknowledging the influence of others was affected by moral disengagement. These findings suggest that autistic adults are not just more likely to intervene when they witness dysfunction or misconduct in an organizational context; they are also less likely to engage in unethical behavior in general due to lower levels of moral disengagement. The reduced susceptibility to the bystander effect evidenced by autistic adults in the workplace may be accounted for, in part, by their lower levels of moral disengagement compared with nonautistic adults.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10973121PMC
http://dx.doi.org/10.3389/fpsyg.2024.1364691DOI Listing

Publication Analysis

Top Keywords

moral disengagement
40
autistic nonautistic
20
nonautistic employees
20
autistic
14
autistic employees
12
differences autistic
12
autistic people
12
moral
11
disengagement
10
employees
9

Similar Publications

The rapid growth of internet usage has led to increased cyberbullying among adolescents, with varying rates reported across countries. This study aimed to investigate the impact of cyber moral literacy on cyberbullying among late adolescents, examining both the mediating role of moral disengagement and the moderating effect of guilt on the relationship between cyber moral literacy and cyberbullying. Data were collected from 7837 late adolescent students (aged 18-21 years) at four universities in Sichuan Province, China.

View Article and Find Full Text PDF

Development and Validation of the Invisibility Scale.

Scand J Psychol

January 2025

Department of Psychology and Behavioural Sciences, Aarhus University, Aarhus, Denmark.

The concept of social invisibility describes the devaluation of the perceived social and personal worth of an individual. This paper presents the theoretical foundation for this construct, and the development and validation of the "Invisibility Scale" capturing experiences of and needs for social (in)visibility within (i) intimate, (ii) legal, and (iii) communal relations. We developed and validated the Invisibility Scale in two studies.

View Article and Find Full Text PDF

This study investigated the relationships among exposure to risky online content, moral disengagement, media literacy, and cyberaggression in adolescents (aged 13-15 years). Data were obtained from the 2021 Cyber Violence Survey (N = 3,002) conducted by a national agency in the Republic of Korea using systematic stratified sampling. The survey assessed eight aggressive online behaviors as indicators of cyberaggression: verbal violence, defamation, stalking, sending provocative content, personal information leakage, bullying, extortion, and coercion.

View Article and Find Full Text PDF

Dissecting the Predictors of Cyber-Aggression Through an Explainable Machine Learning Model.

Aggress Behav

January 2025

Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China.

The general aggression model (GAM) suggests that cyber-aggression stems from individual characteristics and situational contexts. Previous studies have focused on limited factors using linear models, leading to oversimplified predictions. This study used the light gradient boosting machine (LightGBM) to identify and rank the importance of various risk and protective factors in cyber-aggression.

View Article and Find Full Text PDF

Numerous empirical studies have contributed to the understanding of factors connected to students' bystander behaviors in peer victimization situations. Nevertheless, a crucial gap remains concerning the scarcity of longitudinal studies. Drawing on social cognitive theory, the present study examined whether moral disengagement and defender self-efficacy predicted bystander behaviors a year later.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!