Investigating the Adoption Mindset of Smart City Technology Within the Construction Sector

Hsing-Wei Tai, Kuo-Tai Cheng, Chia-Chen Wei and Lin Liu

SAGE Open, 2025, vol. 15, issue 3, 21582440251361878

Abstract: The prosperity of the construction industry is the main driving force for national economic development. Smart city technology can assist the digital transformation of the construction industry and thereby enhance the output value of the construction industry. In order to achieve Sustainable Development Goals (SDGs), the application of smart city technology is an essential tool. The purpose of the study is to determine the factors that affect the attitude of construction industry workers to utilize smart city technologies. The hypothesis was formulated through an extensive examination of existing literature, drawing upon the principles of the Unified Theory of Acceptance and Utilization of Technology (UTAUT). The produced proposal includes six primary hypotheses and four moderators. A total of 335 responses in Taiwan were collected in order to develop a structural equation model (SEM) to evaluate the questionnaire data. The results include: (1) Performance expectancy, Effort expectancy, and Social influence significantly affect users’ willingness to utilize smart city technologies; (2) Facilitating conditions and behavioral intentions show insignificant results on actual behavior; The research findings have important reference value for decision-makers and participants in construction industries, as well as other enterprises in the construction industry, regarding the adoption of smart city technology.

Keywords: smart city; UTUAT; construction industry; SEM; SDGs (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/21582440251361878 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:15:y:2025:i:3:p:21582440251361878

DOI: 10.1177/21582440251361878

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().