让决策支持研究回归 "社会":超越纯技术思维模式

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Cecil Eng Huang Chua , Fred Niederman
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引用次数: 0

摘要

这篇社论认为,设计科学决策支持文献过度关注技术系统的开发,而组织问题的解决和决策制定往往需要社会技术系统。不确定环境中的决策制定还需要其他一些被技术视角积极压制的方面,如有效性和创新性。我们分三步来探讨这个问题。首先,我们以 1854 年伦敦的霍乱为例,说明社会技术思维方式的必要性,霍乱是通过两项独立的调查--一项是技术调查,一项是社会技术调查--证实的水传播疾病。社会技术调查得出的结论最终被认为是正确的,而技术调查得出的结论则是完全错误的。其次,我们认为作者不愿意发表关于社会技术设计人工制品的研究成果。我们以电子表格为例,说明开发人员更愿意在其他渠道发表他们的增量贡献。令人费解的是,研究人员更愿意在DSS期刊上发表技术设计科学方面的文章,因为这些文章在我们的网页上占了绝大多数。因此,在第三步中,我们认为社会-技术设计科学研究的缺乏源于评价标准的不匹配。我们建议《设计科学》杂志培养一批具有社会技术思维的编辑委员会成员,在鼓励这类投稿的同时,采用适当的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Returning the “socio” to decision support research: Expanding beyond a purely technical mindset
This editorial essay argues the design science decision support literature has unduly focused on developing technical systems when organizational problem solving and decision making often require socio-technical ones. Decision making in uncertain environments requires other aspects the technical view actively suppresses, such as effectiveness and innovation. We explore this in a three-step argument. First, we show the necessity of a socio-technical mindset using the example of how cholera was demonstrated to be a waterborne disease in 1854 London in two independent investigations - one technical and one socio-technical. The insights from the socio-technical investigation were ultimately found correct; the technical one arrived at a completely wrong conclusion. Second, we argue authors are discouraged from publishing research on socio-technical design artifacts. We use spreadsheets as an example, and show developers prefer publishing their incremental contributions in other outlets. Puzzlingly, researchers prefer publishing technical design science contributions in DSS journal given their preponderance in our pages. Thus, in our third step, we argue the lack of socio-technical design science research arises from a mismatch of evaluation criteria. We suggest DSS journal cultivate a subset of editorial board members with a socio-technical mindset to apply the appropriate criteria while encouraging submissions of this type.
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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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