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Growing Science » International Journal of Data and Network Science » AI integration and employment in construction: Exploring positive and destructive effects through a PLS-SEM lens

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International Journal of Data and Network Science

ISSN 2561-8156 (Online) - ISSN 2561-8148 (Print)
Quarterly Publication
Volume 10 Issue 1 pp. 27-36 , 2026

AI integration and employment in construction: Exploring positive and destructive effects through a PLS-SEM lens Pages 27-36 Right click to download the paper Download PDF

Authors: Zheng Xiao, Afdallyna Harun

DOI: 10.5267/j.ijdns.2025.10.015

Keywords: Artificial Intelligence, Construction Industry, Employment Effects, Organizational Readiness, China, PLS-SEM

Abstract: This research examines how artificial intelligence (AI) integration has affected employment in China’s construction industry. This research builds on the theories of skill-biased technological change and creative destruction to study how AI influences both positive and negative employment effects that later influence overall employment. The report confirms, based on the survey data and by using PLS-SEM, that AI introduction results in both job growth and job losses for managerial-level employees. In addition, whether an organization is ready greatly affects how these relationships play out, improving good outcomes and reducing the bad ones. It is clear from the findings that preparing a strategy helps make the most of AI and alleviate its risks. The study contributes to a more detailed view of AI’s effects on jobs and supplies ideas for sustaining both innovation and employment.

How to cite this paper
Xiao, Z & Harun, A. (2026). AI integration and employment in construction: Exploring positive and destructive effects through a PLS-SEM lens.International Journal of Data and Network Science, 10(1), 27-36.

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Journal: International Journal of Data and Network Science | Year: 2026 | Volume: 10 | Issue: 1 | Views: 1147 | Reviews: 0

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