Utilitarian Thinking

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Utilitarian Thinking



Utilitarian Thinking

Introduction

Almost certainly the most comprehensively and generally moral assumption is utilitarianism. In a managerial framework, utilitarianism essentially asserts that a judgment relating to business function is appropriate if and only if that judgment brings the maximum benefit for the greatest number of people. “Good” is frequently identified as the total gains that mount up to those participants influenced by the decisions. Accordingly, most utilitarian maintain the stance that ethical choices must be assessed by determining the total gains of each accessible optional measure (Velasquez, 1996).

Discussion

Utilitarian Thinking

Utilitarianism thought was considered in the 19th century by Jeremy Bentham and John Stuart to assist members of parliaments and law makers to decide which regulations were ethically best. Both Bentham and Mill recommended that moral proceedings are those that give the greatest balance of good over wickedness. To examine an issue employing the utilitarian approach, it is important to recognize the different ways of act presented to a person. Then, look for the characteristic that that will be influenced by each act and what gains or damages will be resultant from each. And lastly, decide the act that will generate the maximum gains and the least damage. The moral action is the one that gives the maximum good for the mainstream (Meyer, 1996).

Utilitarian's compute the interest of human behavior by the level of contentment it brings in the social order. They sustain that the eventual endeavor of any act or decree should be to support the greatest contentment for the greatest numeral of community. Utilitarian thinking would permit conduct that produces more happiness in society than unhappiness and would disallow behavior that outcomes in more sadness than pleasure. Some utilitarian's imagine a self-governing state where the contentment and sadness formed by a particular act would be decided specifically by offering every ...
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