Research on the Development Path of Construction Enterprises Led by Intelligent Construction
Xiaoyan Dai (),
Yingwen Xu,
Wanwan Xia and
Tianbao Zhang
Additional contact information
Xiaoyan Dai: Hubei University of Education, School of Architecture and Material Engineering
Yingwen Xu: Jiangsu Huajiang Construction Group Co., Ltd. Wuhan Branch
Wanwan Xia: Wuhan Branch of Northwest Company of China Construction Fourth Bureau
Tianbao Zhang: CCTEB Infrastructure Construction Investment Co., Ltd.
A chapter in Proceedings of the 2024 4th International Conference on Enterprise Management and Economic Development (ICEMED 2024), 2024, pp 46-52 from Springer
Abstract:
Abstract Intelligent construction is a new construction and management mode formed by the deep integration of information technology and Engineering Construction Technology, which is the only way to realize high-quality development of construction industry. This paper expounds the new requirements of intelligent construction for construction enterprises, sorts out the problems existing in the development of construction enterprises, and some suggestions are put forward to provide reference for construction enterprises to realize high-quality development led by intelligent construction.
Keywords: intelligent construction; construction enterprises; transformation and upgrading (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:advbcp:978-94-6463-506-5_6
Ordering information: This item can be ordered from
http://www.springer.com/9789464635065
DOI: 10.2991/978-94-6463-506-5_6
Access Statistics for this chapter
More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().