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An experimental study of the effects of contextual and representational data quality on decision performance.

机译:关于上下文和表示数据质量对决策绩效的影响的实验研究。

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摘要

To make high quality decisions, decision-makers must have high quality information pertinent to the decision at hand. The effects of information quality and the importance of information have been reported in the Information Systems (IS) literature. However, little has been learned about the impact of data quality (DQ) on decision performance. This study explores the effects of contextual and representational DQ, as defined by the framework of DQ (Wang and Strong, 1996), on decision performance. To examine the effects of contextual and representational DQ on decision performance, a laboratory experiment was conducted. Based on two levels of contextual and representational DQ and two levels of task complexity, this study had a 2 x 2 x 2 factorial design. The dependent variables used to measure the outcomes of the problem-solving performance were problem-solving accuracy and solution time. The application used in the experiment was a Web-based data access tool developed for this study. Eighty subjects participated in the experiment.; The results demonstrated that the effects of contextual and representational DQ on problem-solving performance were significant. In addition, this study found that problem-solving accuracy with low contextual DQ and high representational DQ was superior to problem-solving accuracy with high contextual DQ and low representational DQ. That means, for problem-solving accuracy, the advantages of representational DQ outweighed the advantages of contextual DQ, especially for complex symbolic tasks. However, the results of this study showed that problem-solving time with low contextual DQ and high representational DQ was inferior to problem-solving time with high contextual DQ and low representational DQ. That means, for problem-solving time, the advantages of contextual DQ outweighed the advantages of representational DQ, especially for complex symbolic tasks.; The findings suggest that the task type, task complexity, and DQ must be matched to achieve the best results, and that decision-makers can expect to improve their decision-making performance by enhancing contextual and representational DQ. The findings extend a body of research examining the effects of factors that can be tied to human decision-making performance. They also provide empirical evidence to validate and extend the cognitive fit theory (Vessey, 1991) and the IS success model (DeLone and McLean, 1992).
机译:为了做出高质量的决策,决策者必须掌握与决策相关的高质量信息。在信息系统(IS)文献中已经报道了信息质量的影响和信息的重要性。但是,关于数据质量(DQ)对决策性能的影响知之甚少。这项研究探索了DQ框架(Wang和Strong,1996年)定义的情境和代表性DQ对决策绩效的影响。为了检查上下文和代表性DQ对决策绩效的影响,进行了实验室实验。基于上下文和表示形式的DQ的两个级别以及任务复杂性的两个级别,本研究采用2 x 2 x 2析因设计。用于衡量解决问题绩效结果的因变量是解决问题的准确性和解决时间。实验中使用的应用程序是为此研究开发的基于Web的数据访问工具。八十名受试者参加了实验。结果表明,上下文和表示形式的DQ对解决问题性能的影响是显着的。此外,这项研究发现,具有低上下文DQ和高代表性DQ的问题解决精度优于具有高上下文DQ和低代表性DQ的问题解决精度。这意味着,为了解决问题的准确性,代表性DQ的优势胜过上下文DQ的优势,尤其是对于复杂的符号任务。但是,这项研究的结果表明,具有低上下文DQ和高代表性DQ的问题解决时间不如具有高上下文DQ和低代表性DQ的问题解决时间。这意味着,在解决问题的时间上,上下文DQ的优势胜于代表性DQ的优势,尤其是对于复杂的符号任务。研究结果表明,任务类型,任务复杂度和DQ必须匹配才能获得最佳结果,并且决策者可以期望通过增强上下文和表示形式的DQ来改善其决策绩效。这些发现扩大了研究范围,研究了可能与人类决策绩效相关的因素的影响。他们还提供了经验证据来验证和扩展认知适应理论(Vessey,1991)和信息系统成功模型(DeLone and McLean,1992)。

著录项

  • 作者

    Jung, Wonjin.;

  • 作者单位

    The Claremont Graduate University.;

  • 授予单位 The Claremont Graduate University.;
  • 学科 Business Administration Management.; Computer Science.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 134 p.
  • 总页数 134
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 贸易经济;自动化技术、计算机技术;
  • 关键词

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