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Testing the Relationship Between Information and Knowledge in Computer-Aided Decision-Making
Information Systems Frontiers ( IF 6.9 ) Pub Date : 2021-10-03 , DOI: 10.1007/s10796-021-10205-w
Yuan Li 1 , William J. Kettinger 2
Affiliation  

Information and knowledge are two foundational concepts in Information Systems (IS) research, but their relationship remains vague, and researchers continue to use them interchangeably in studies. This limits the ability to clearly specify what information is in the systems and how it is used for operations and decisions. We address the issue in the context of computer-aided decision-making. In contrast to the traditional view that information is the input of knowledge, we argue, from the knowledge-based view of information, that information is produced from knowledge and functions as the basis of decisions. Further, cognitive factors such as one’s general knowledge in the task domain and guidance in decision aids influence knowledge and information for decisions. An information-centric framework is developed and tested based on a popular production-planning decision task. The result supports the direct impact of information on decisions and the indirect impact of knowledge via its influence on information. This study is the first to empirically test the relationship between knowledge and information in IS research. It calls for more attention to the information concept and how it is processed in IS.



中文翻译:

测试计算机辅助决策中信息和知识之间的关系

信息和知识是信息系统 (IS) 研究中的两个基本概念,但它们的关系仍然模糊不清,研究人员继续在研究中交替使用它们。这限制了明确指定系统中包含哪些信息以及如何将其用于运营和决策的能力。我们在计算机辅助决策的背景下解决这个问题。与传统观点认为信息是知识的输入相反,我们认为,从基于知识的信息观点来看,信息是从知识中产生的,并作为决策的基础。此外,任务领域的一般知识和决策辅助方面的指导等认知因素会影响决策的知识和信息。基于流行的生产计划决策任务开发和测试以信息为中心的框架。结果支持信息对决策的直接影响和知识通过其对信息的影响而产生的间接影响。本研究首次对信息系统研究中的知识与信息之间的关系进行实证检验。它要求更多地关注信息概念及其在 IS 中的处理方式。

更新日期:2021-10-03
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