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首页> 外文期刊>VINE journal of information and knowledge management systems >A multi-dimensional construct of perceived information pollution in the era of rife infollution
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A multi-dimensional construct of perceived information pollution in the era of rife infollution

机译:稻瘟病时代感知信息污染的多维构建

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摘要

Purpose – This paper aims to evaluate employee's perception regarding information pollution and determined the factors that lead to perceived infollution. In the case of this study, a four-dimensional scale of perceived infollution is presented. In addition, this study quantified information pollution in contrast to using the measurement tools of information quality. Design/methodology/approach – A sequential exploratory mixed-method design was used to validate the measurement scale. The population of the present study comprised of the employees who work in the operations and credit department of banking sector. In this study, a four-dimensional second-order scale of perceived information pollution with a total of 19 items or sub-dimensions managed to be developed using exploratory factor analysis and confirmatory factor analysis. Findings – The measurement scale confirmed that perceived information pollution in the context of workplace environment consisted of four dimensions, namely, intrinsic PIP, accessible PIP, contextual PIP and representational PIP where PIP stands for Perceived Information Pollution. Research limitations/implications – Management may use the four dimensions as a benchmark in revealing polluted information as well as enhancing information quality through information processing. Originality/value – This is the first attempt of exploring the dimensions and validating the measurement scale of perceived infollution.
机译:目的 - 本文旨在评估员工对信息污染的看法,并确定导致感知缺失的因素。在本研究的情况下,提出了四维感知缺失。此外,这项研究与使用信息质量的测量工具相比定量了信息污染。设计/方法/方法 - 使用顺序探索混合方法设计来验证测量标度。本研究人口由在银行业运营和信用部门工作的员工组成。在本研究中,使用探索性因子分析和确认因子分析,共有19个项目污染的四维二阶次级的感知信息污染或分析。调查结果 - 测量规模证实,工作场所环境背景下的信息污染由四个维度组成,即本征的PIP,可访问的PIP,上下文管道和代表性的PIP,其中PIP代表被感知信息污染。研究限制/含义 - 管理可以使用四个维度作为揭示污染信息的基准,以及通过信息处理提高信息质量。原创性/值 - 这是第一次探索尺寸并验证感知缺失的测量比例的尝试。

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