A Critical Systems View of Power-Ethics Interactions in Information Systems Evaluation

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Jose Cordoba
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引用次数: 5

Abstract

Current developments in information systems IS evaluation emphasise stakeholder participation in order to ensure adequate and beneficial IS investments. It is now common to consider evaluation as a subjective process of interpretations, in which people's appreciations are taken into account to guide evaluations. However, the context of power relations in which evaluation takes place, as well as their ethical implications, has not been given full attention. In this article, ideas of critical systems thinking and Michel Foucault's work on power and ethics are used to define a critical systems view of power to support IS evaluation. The article proposes a system of inquiry into power with two main areas: 1 Deployment of evaluation via power relations and 2 Dealing with ethics. The first element addresses how evaluation becomes possible. The second one goes in-depth into how evaluation can proceed as being informed by ethical reflection. The article suggests that inquiry into these relationships should contribute to extend current views on power in IS evaluation practice, and to reflect on the ethics of those involved in the process.
信息系统评价中权力-伦理互动的批判系统观
当前信息系统信息系统评估的发展强调利益相关者的参与,以确保充分和有益的信息系统投资。现在普遍认为评价是一种主观的解释过程,考虑人们的欣赏来指导评价。然而,评价所处的权力关系背景及其伦理含义并没有得到充分的重视。在这篇文章中,批判系统思维的思想和米歇尔·福柯关于权力和伦理的工作被用来定义一个批判系统的权力观,以支持对IS的评估。本文提出了一种权力探究体系,主要包括两个方面:一是通过权力关系部署评价,二是处理伦理问题。第一个元素说明了如何使计算成为可能。第二部分深入探讨了如何通过道德反思来进行评估。本文认为,对这些关系的探究应该有助于扩展当前在信息系统评估实践中的权力观,并反思参与这一过程的人的道德问题。
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来源期刊
Information Resources Management Journal
Information Resources Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
44
期刊介绍: Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management
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