透明度(行为)
清晰
构造(python库)
度量(数据仓库)
维数之咒
感知
计算机科学
心理学
可信赖性
默许
结构效度
数据科学
社会心理学
数据挖掘
心理测量学
政治学
人工智能
计算机安全
生物化学
化学
神经科学
政治
法学
程序设计语言
临床心理学
作者
Andrew Schnackenberg,Edward C. Tomlinson,Corinne A. Coen
出处
期刊:Human Relations
[SAGE Publishing]
日期:2020-06-27
卷期号:74 (10): 1628-1660
被引量:21
标识
DOI:10.1177/0018726720933317
摘要
In this article, we advance research on transparency by developing and validating a measure based on recent theoretical insights about its dimensionality. We find that transparency—defined as the perceived quality of information—is a three-dimensional construct consisting of perceived information disclosure, clarity, and accuracy. Evidence shows items associated with these dimensions can be aggregated into a single transparency construct. We also find that transparency (as an aggregate construct) is distinct from neighboring constructs such as informational justice and capable of predicting perceptions of the source’s trustworthiness (ability, benevolence, and integrity). Finally, we find evidence of measurement invariance between two commonly used referents of analysis, yielding confidence in the application of the proposed measure across research settings. We discuss implications of the new measure for research on transparency, the extension of the new measure to related research traditions, and the practical application of the new measure for managers interested in constructing and appraising transparent messages.
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