Analysis and Intuition Effectiveness in Moral Problems

Author:

Julmi ChristianORCID

Abstract

AbstractThere has been a longstanding controversy in research as to whether moral judgment is the result of an analytical or an intuitive process. Today, researchers increasingly recognize that moral judgments can be the result of both intuition and analysis, and that the two paths can lead to different results. This raises the question as to which of the two processes leads to a better moral judgment. The article develops a typology of moral problems depending on their moral uncertainty and moral equivocality and links the derived types with analysis and intuition effectiveness. The typology considers four types of moral problems: compliance problems (low uncertainty, low equivocality), professional ethics problems (high uncertainty, low equivocality), conformity problems (low uncertainty, high equivocality) and ethical dilemmas (high uncertainty, high equivocality). The article argues that compliance and professional ethics problems are best solved analytically, whereas intuition is assumed to be more suitable for conformity problems and ethical dilemmas. Moreover, the article shows that it is not sufficient to contrast intuition with analysis alone. The higher the moral uncertainty, the more important the interplay of intuition and analysis becomes in making moral judgments.

Funder

FernUniversität in Hagen

Publisher

Springer Science and Business Media LLC

Subject

Law,Economics and Econometrics,Arts and Humanities (miscellaneous),General Business, Management and Accounting,Business and International Management

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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