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Using interdependence as a predictor of data standards Theoretical and measurement issues

机译:使用相互依赖关系作为数据标准的预测因素理论和测量问题

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摘要

The standardization of data semantics (definitions, names, identifiers, domains, and constraints) across organizational units and systems is one means of coordinating the activities of these units. Since the need for subunit coordination is considered a function of the level of interdependence among subunits, many authors have hypothesized a positive relationship between subunit interdependence and the use of semantic standards. Empirically testing this relationship revealed two surprising results. First, commonly used operational definitions of interdependence from previous research were found to measure different dimensions and hence could not be used interchangeably. Second, no relationship between any of the operational definitions of subunit interdependence and the use of data standards was found. These findings lead us to believe that more precise conceptualizations of interdependence and better models of the tradeoffs between standardization and alternative means of dealing with inconsistent data semantics are required to better understand how investments in standardized data impact organizational outcomes.
机译:跨组织单位和系统的数据语义(定义,名称,标识符,域和约束)的语义标准化是协调这些单位活动的一种方法。由于对子单元协调的需求被认为是子单元之间相互依赖程度的函数,因此许多作者假设子单元相互依赖与语义标准的使用之间存在正相关关系。从经验上检验这种关系揭示了两个令人惊讶的结果。首先,发现以前研究中常用的相互依赖的操作性定义可以度量不同的维度,因此不能互换使用。其次,未发现亚单位相互依赖的任何操作定义与数据标准的使用之间的关系。这些发现使我们相信,需要更精确的相互依赖性概念化以及更好的标准化模型和处理不一致数据语义的替代方法之间的折衷模型,以更好地了解标准化数据的投资如何影响组织成果。

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