The Effect of Intelligent Construction Technology and Enterprise Green Management on Transformation of Construction Enterprises. Based on the perspective of dual carbon

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Abstract

This study examines the collaboration between intelligent construction technology and enterprise green management within construction enterprises’ “dual carbon” transformation framework. By integrating insights from previous literature and empirical data, we identify key indicators such as promotion strength, relevant codes and standards, application of intelligent platforms, and introduction of high-end design teams as pivotal in advancing green management practices. The descriptive analysis reveals a highly educated and experienced workforce predominantly from state-owned enterprises, emphasising the role of human capital in sustainable construction. Correlation analysis highlights the interconnectedness of various indicators, reinforcing the synergistic effects of comprehensive promotion, advanced technological applications, and stringent regulatory standards. Reliability and robustness analyses confirm the internal consistency and stability of the measurement indices, validating the findings. The willingness model indicates a strong inclination among enterprises to adopt intelligent technologies driven by competitive pressure, policy environment, technical advantages, and organizational culture. Aligning with previous research, this study underscores the critical role of cohesive strategies in achieving sustainable construction practices. The findings contribute to the growing literature on intelligent construction technology and green management, offering valuable insights for policymakers and industry stakeholders aiming to achieve dual carbon transformation goals.

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APA

Hou, X. L., & Pongtornkulpanich, A. (2024). The Effect of Intelligent Construction Technology and Enterprise Green Management on Transformation of Construction Enterprises. Based on the perspective of dual carbon. Pakistan Journal of Life and Social Sciences, 22(2), 893–922. https://doi.org/10.57239/PJLSS-2024-22.2.0064

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