施工索赔管理中的政府性:智能数据倡议的作用

Joseph Awed , Alireza Ahmadian Fard Fini
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引用次数: 0

摘要

尽管在查明和预防原因方面做出了努力,但施工索赔仍不可避免地重复发生。因此,重点已转移到利用系统化流程管理索赔,但与索赔准备相关的挑战依然存在。在政治治理中,数据分析可促进自治以克服类似的挑战,本研究将政治与建筑索赔进行对比,旨在研究在建筑索赔中采用类似数据驱动方法的潜力。通过系统的文献综述和十次行业访谈,我们发现了作为监管要素的控制机制和惩戒权力的相似之处,但也揭示了自我管理和数据分析利用方面的不同之处。本研究建议将索赔准备工作中的举措分为人员主导型、组织主导型和数据主导型,其中数据分析在每种举措中都至关重要。通过在政治治理领域中应用类似于政府性的数据分析,本研究揭示了自治与智能数据分析的整合为有效应对施工索赔准备过程中固有的挑战提供了一种潜在的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Governmentality in construction claim management: Role of smart data initiatives
Despite efforts to identify and prevent causes, construction claims remain inevitable and repetitive. Therefore, focus has shifted to managing claims with systematic processes, yet challenges related to claim preparation persist. Drawing from political governance, where data analytics promote self-governance to overcome similar challenges, this study contrasts politics with construction claims, aiming to investigate potential for adopting similar data-driven approaches in the construction claim context. Through a systematic literature review in conjunction with ten industry interviews, we present similarities in control mechanisms and disciplinary powers as regulatory elements but reveal dissimilarities in self-governance and utilisation of data analytics. This study proposes categorizing initiatives in claim preparation to people-led, organisational-led, and data-led with data analytics pivotal in each. Through the application of data analytics resembling governmentality within the realm of political governance, the study reveals that the integration of self-governance and smart data analytics presents a potential solution for effectively addressing the challenges inherent in the preparation of construction claims.
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CiteScore
6.70
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