A Data Quality Model for Asset Management in Engineering Organisations

A Data Quality Model for Asset Management in Engineering Organisations
复制标题

工程组织资产管理的数据质量模型

DOI:
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发表时间:
2005
期刊:
MIT International Conference on Information Quality
影响因子:
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通讯作者:
Jing Gao
Jing Gao
中科院分区:
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文献类型:
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作者:
A. Koronios;Shien Lin;Jing Gao

文献摘要

被引文献

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数据质量(DQ)是有效资产管理的关键问题。DQ问题会给组织带来严重的负面影响。一些研究表明,大多数组织都存在DQ问题。本文旨在探讨与企业资产管理(EAM)系统实现相关的DQ问题。该研究应用了资产管理(AM)的DQ研究框架在两个大型澳大利亚公用事业组织的初步案例研究。研究结果表明,DQ问题对实施EAM系统的重要性往往被忽视;因此,有必要进行更仔细的研究,以提高普遍认识。
Data Quality (DQ) is a critical issue for effective asset management. DQ problems can result in severe negative consequences for an organisation. Several research studies have indicated that most organizations have DQ problems. This paper aims to explore DQ issues associated with the implementation of Enterprise Asset Management (EAM) systems. The study applies a DQ research framework for Asset Management (AM) in a preliminary case study of two large Australian utility organisations. The findings of the study suggest that the importance of DQ issues for the implementation of EAM systems is often overlooked; thus, there is a need for more scrutinised studies in order to raise general awareness.