工程研究——跨学科视野中的工程2024，Vol.16Issue(2)：137-146,10.DOI:10.3724/j.issn.1674-4969.23011030
TAM-TOE整合视角下建设行业人工智能技术采纳行为研究
TAM-TOE Integrated Perspective Research on Adoption of Artificial Intelligence Technology in Construction Projects
摘要
Abstract
The advancement and implementation of artificial intelligence(AI)technologies have engendered numerous novel opportunities and challenges for the construction sector.In an era where digital transformation is incrementally taking root in the construction industry,the imperative integration of AI with traditional construction enterprises is a fundamental demand for current development.However,the majority of existing research within the realm of construction is chiefly concentrated on the application of AI technologies,leaving a discernible gap in the exploration of AI adoption.Thus,investigating how to efficaciously propel the construction industry to adopt AI more proficiently bears significant practical relevance.The present study,grounded in information technology adoption theories,amalgamates the Technology Acceptance Model—attuned to the individual level of IT adoption—with the Technology-Organization-Environment Framework,oriented toward organizational-level IT adoption.By synthesizing variables at both individual and organizational levels,a conceptual model was erected for this research,alongside the development and design of a corresponding metric scale.Subsequently,leveraging surveys and structural equation modeling executed through SPSS and AMOS software,this study empirically dissects the determinants influencing the adoption behaviors of AI within the construction industry,delving into the intrinsic mechanisms that shape employees'willingness to embrace AI technologies.The findings uncover significant insights:Concerning the internal components of the Technology Acceptance Model,the intent to adopt AI markedly sways adoption behaviors,with perceived ease of use and perceived usefulness exerting substantial impacts on the actual adoption of AI.Perceived ease of use also positively influences perceived usefulness,consistent with expectations of the Technology Acceptance Model.Pertaining to technical attributes,AI's intrinsic capabilities such as autonomous decision-making,real-time monitoring,collaborative processing,and optimization analysis all profoundly sway perceived ease and usefulness,directly affecting adoption behaviors.However,the complexity of the technology itself does not significantly affect perceived usefulness but has an evident negative impact on perceived ease of use.Within the organizational domain,resource allocations for AI technology substantially influence employees'perceptions of ease and usefulness,as well as their adoption behaviors.Furthermore,executive leadership's decision-making support in projects primarily shapes employees'perceived ease of use and directly affects adoption behaviors.In the environmental domain,while government incentives and industry trends tend to have a weaker influence on perceived ease of use,they significantly affect perceived usefulness and directly catalyze the adoption of AI technologies.By emphasizing the technological,organizational,and environmental perspectives,this study elucidates critical factors in AI technology adoption within the construction industry and informs the formulation of strategies for AI adoption.It accelerates digital transformation within the construction sector and enhances firms'capabilities to navigate new technologies,offering a framework that could bolster ongoing industry development.This research also furnishes a valuable model for scholars exploring the current state of AI adoption in the construction industry and provides robust support for the sector's sustained progression.关键词
人工智能/技术接受(TAM)模型/技术-组织-环境(TOE)模型/建设行业/技术采纳Key words
artificial intelligence/technology acceptance model(TAM)/technology-organization-environment(TOE)model/construction industry/technology adoption分类
建筑与水利引用本文复制引用
赵娜,李怀琳,杨妮娜..TAM-TOE整合视角下建设行业人工智能技术采纳行为研究[J].工程研究——跨学科视野中的工程,2024,16(2):137-146,10.基金项目
国家级大学生创新创业训练计划项目(S202310536001) （S202310536001）
教育部人文社科青年基金项目(23YJC630249) （23YJC630249）
长沙理工大学公路工程教育部重点实验室开放基金重点项目(kfj220201) （kfj220201）
