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On Similarities and Differences between Social Informatics and Information Systems

机译:社会信息学与信息系统的异同

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Rob Kling strongly advocated the term Social Informatics. He demonstrated that equipment, equipment vendors, technical specialists, upper-level managers, ICT policies, internal funding, and external grant funding with the people who will use information systems in the course of other work are not simply a static list but are interrelated within a matrix of social and technical dependencies. In Information Systems there has recently been heated debate about the core content of the discipline. In this paper we study whether Social Informatics and Information Systems are similar or not. According to the broad view on Information Systems, they appear quite similar. The few differences we identified are in research approaches, when most Social Informatics researchers use intensive case studies while most Information Systems researchers surveys. Such minor differences do not support the view that these two sciences should have different names. The researchers in both sciences seem to believe that people's behavior can be predicted, but we demonstrate that this is not true. Hence we propose that theories with people as a component must be adjusted accordingly in both sciences.
机译:罗伯·克林(Rob Kling)强烈提倡“社会信息学”一词。他向与将在其他工作中使用信息系统的人员展示了设备,设备供应商,技术专家,高层管理人员,ICT政策,内部资金和外部赠款资金,这些不仅是静态清单,而​​且还相互关联。社会和技术依赖性的矩阵。在信息系统领域,最近对该学科的核心内容进行了激烈的辩论。在本文中,我们研究了社会信息学和信息系统是否相似。根据对信息系统的广泛看法,它们看起来非常相似。当大多数社会信息学研究人员使用密集的案例研究而大多数信息系统研究人员进行调查时,我们发现的差异很少出现在研究方法上。这种微小的差异并不支持以下观点:这两种科学应使用不同的名称。两种科学的研究人员似乎都认为人们的行为是可以预测的,但是我们证明这不是事实。因此,我们建议在两门科学中都必须相应地调整以人为本的理论。

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