确定为什么设施管理在采用数据分析方面是保守的

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引用次数: 0

摘要

由于21世纪现代组织需求的复杂性,数据分析在设施管理中的必要性正在增加。尽管数据分析的出现使各种企业和工业部门受益,但设施管理部门在采用该技术方面一直持保守态度。这将导致FM通过实施IR4.0实现持续改进和彻底改变设施管理的严峻挑战。因此,本文旨在确定为什么设施管理服务提供商似乎很难在其运营中采用数据分析。对现有的关于该主题的文献进行了文献综述。然后对所选文章的质量和与主题的相关性进行批判性评估,并对研究结果进行综合和总结。结果表明,设施管理服务提供商面临着三个挑战,导致他们在设施管理中保守地采用数据分析,即技术集成、组织效率低下和财务限制。这项研究的结果可以帮助我们更好地理解为什么设施管理部门在采用数据分析方面一直很保守,这可以为设施管理服务提供商在其运营中采用数据分析铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining Why Facilities Management has been Conservative in Adopting Data Analytics
The necessity for data analytics in facilities management is increasing due to the complexity of modern-days organisational requirements in the 21st century. Despite the emergence of data analytics that has benefited various businesses and industrial sectors, the facilities management sector has been conservative in adopting the technology. This would lead to severe challenges for FM to achieve continuous improvement and revolutionise the management of the facilities through the implementation of IR4.0. Thus, this paper aims to determine why facilities management service providers seem to be struggling to adopt data analytics in their operations. A literature review was carried out on existing literature on the topic. The selected articles were then critically evaluated for their quality and relevance to the subject matter and the findings were synthesised and summarised. The result suggests that facilities management service providers faced three challenges that contribute to their conservative adoption of data analytics in facilities management which are technology integration, organisational inefficiency, and financial constraints. The findings of this study could help to better understand why the facilities management sector has been conservative in adopting data analytics which could pave a path to identifying ways for facilities management service providers to adopt data analytics in their operations.
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