The Dominant Integral Affect Model of Unethical Employee Behavior

Author:

Veetikazhi Ramachandran1ORCID,Ramya S. M.2ORCID,Hong Michelle3,Kamalanabhan T. J.1

Affiliation:

1. Indian Institute of Technology Madras, Chennai, India

2. National University of Singapore, Singapore

3. North Dakota State University, Fargo, USA

Abstract

Unethical employee behavior (UEB), an important organizational phenomenon, is dynamic and multi-faceted. Recent renewed interest in the role of emotion in ethical decision-making (EDM) suggests that unethical behaviors are neither always rationally derived nor deliberately undertaken. This study explores how to integrate the conscious and nonconscious dimensions of unethical decision-making. By broadening the scope of inquiry, we explore how integral affect—the emotion tied to anticipated decision outcomes for the employee engaging in misconduct—can shed light on UEB. We review related literature on affect and EDM and propose a model in which we assert that at a decision point, an employee experiences multiple integral affects that are either persuasive or dissuasive toward UEB. We further posit that among these integral affects, a dominant integral affect (DIA) emerges, determining the nature and direction of unethical behavior. In addition, our model considers the role of affective residue and the influence of other factors, such as incidental affect, disposition, context, and retrospection, to derive propositions. Our DIA model can help managers gain a comprehensive understanding of how affect, characterized by its locus (self or other orientation) and valence (enhancing or harming), determines the characteristics of UEB.

Publisher

SAGE Publications

Subject

Social Sciences (miscellaneous),Business, Management and Accounting (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3