Integration of generative artificial intelligence across construction management

R Nyqvist, A Peltokorpi, O Seppänen
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Abstract

This research investigates the integration of generative artificial intelligence (AI) solutions in the context of construction management. Generative AI has surpassed human capabilities in various tasks, offering a unique opportunity to address longstanding development barriers in construction management. Previous research has shown how generative AI can help with individual management tasks but a wider overview of how generative AI could help in construction management is still missing. By breaking down construction management into individual tasks and linking each task to available generative AI solutions, the study uncovers multiple innovative approaches to enhance current practices. Consequently, this research introduces the mapping of management tasks and explores a range of practical implications of generative AI on construction management. The research takes a mixed-methods approach, collaborating with industry professionals from Finnish construction companies through focus group discussions (FGD), and questionnaires to gather valuable feedback. The outcome is a pragmatic summary of seven management actions, connected with generative AI solutions, and their quantitative potentiality assessment. The results indicate an overall good potential for integrating generative AI into construction management, with AI-enhanced chair and secretary actions, communication and situational awareness, data analysis and improvement, and risk management receiving the highest perceived potentiality scores.
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将生成式人工智能融入整个施工管理中
本研究调查了生成式人工智能(AI)解决方案在建筑管理中的整合情况。在各种任务中,生成式人工智能已经超越了人类的能力,为解决建筑管理中长期存在的发展障碍提供了一个独特的机会。以往的研究已经显示了生成式人工智能如何帮助完成单项管理任务,但仍缺少对生成式人工智能如何帮助建筑管理的更广泛概述。通过将建筑管理分解为单项任务,并将每项任务与现有的生成式人工智能解决方案联系起来,本研究发现了多种创新方法,以加强当前的实践。因此,本研究介绍了管理任务的映射,并探讨了生成式人工智能对建筑管理的一系列实际影响。研究采用混合方法,通过焦点小组讨论(FGD)和问卷调查与芬兰建筑公司的业内专业人士合作,收集宝贵的反馈意见。研究结果务实地总结了与人工智能生成解决方案相关的七项管理行动,并对其潜力进行了量化评估。结果表明,将人工智能融入建筑管理的总体潜力良好,其中人工智能增强的主席和秘书行动、沟通和态势感知、数据分析和改进以及风险管理的潜力得分最高。
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