{"title":"Organizational Routines as a Source of Ethical Blindness","authors":"Barbara Kump, Markus Scholz","doi":"10.1177/26317877221075640","DOIUrl":null,"url":null,"abstract":"Organizational research has shown that decision-makers can be subject to ethical blindness, a temporary inability to see the ethical dimension of a situation at hand. Previous theoretical approaches have identified organizational routines—recurring multi-actor practices—as important indirect context factors of ethical blindness. The present article argues that earlier theorizing is incomplete. Organizational routines may be a much more direct cause of ethical blindness and they may play a much stronger role in fostering unintentional unethical behavior than is currently acknowledged. As its main contribution, the article synthesizes research on unethical organizational behavior with findings on the micro-foundations of organizational routines to systematically theorize about when and how routines can directly cause ethical blindness. Given that organizational routines are not only a main pillar of organizational research but an indispensable part of organizational life, an increased understanding of their role in creating ethical blindness is of high theoretical and practical relevance. In particular, a routine-based explanation of ethical blindness may help in identifying and counteracting “everyday” unethical practices that are prevalent in modern business organizations.","PeriodicalId":50648,"journal":{"name":"Computational and Mathematical Organization Theory","volume":"257 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Mathematical Organization Theory","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/26317877221075640","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 2
Abstract
Organizational research has shown that decision-makers can be subject to ethical blindness, a temporary inability to see the ethical dimension of a situation at hand. Previous theoretical approaches have identified organizational routines—recurring multi-actor practices—as important indirect context factors of ethical blindness. The present article argues that earlier theorizing is incomplete. Organizational routines may be a much more direct cause of ethical blindness and they may play a much stronger role in fostering unintentional unethical behavior than is currently acknowledged. As its main contribution, the article synthesizes research on unethical organizational behavior with findings on the micro-foundations of organizational routines to systematically theorize about when and how routines can directly cause ethical blindness. Given that organizational routines are not only a main pillar of organizational research but an indispensable part of organizational life, an increased understanding of their role in creating ethical blindness is of high theoretical and practical relevance. In particular, a routine-based explanation of ethical blindness may help in identifying and counteracting “everyday” unethical practices that are prevalent in modern business organizations.
期刊介绍:
Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques.
Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.