Juliana D. Lilly, Kamphol Wipawayangkool, M. Virick, Ronald M. Roman
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Who or what is to blame? The role of attribution of responsibility in layoffs
Purpose
This study aims to investigate the effects of attribution of responsibility (AOR) for layoffs on the components of ethical decision-making. Internal, external and no-fault AOR were examined using the model of moral intensity to determine if placement of blame for the layoff influences ethical awareness, judgment and intent.
Design/methodology/approach
Surveys were collected from 397 students. The survey provided a scenario about a layoff situation involving an African-American woman and a Caucasian woman. Respondents then answered questions about moral intensity, moral judgment and moral intent concerning the layoff and identified the reasons they believed the layoff occurred. We tested our hypotheses using multiple regression analysis.
Findings
Subjects were more likely to make a moral judgment about the situation when layoffs were blamed on the company’s actions (external AOR) and less likely to make a moral judgment when the layoff decision was blamed on employee performance (internal AOR) or on economic factors beyond anyone’s control (no-fault AOR). Results also indicate that layoffs blamed on employee performance negatively moderate the relationship between moral judgment and moral intent.
Originality/value
Previous studies of layoff ethics have not examined the influence of AOR for layoffs using the model of moral intensity. Thus, this paper extends the current understanding of these concepts in ethical decision-making.
期刊介绍:
The International Journal of Ethics and Systems (formerly named Humanomics, the International Journal of Systems and Ethics) is a multidisciplinary journal publishing peer review research on issues of ethics and morality affecting socio-scientific systems in epistemological perspectives. The journal covers diverse areas of a socio-scientific nature. The focus is on disseminating the theory and practice of morality and ethics as a system-oriented study defined by inter-causality between critical variables of given problems.