Research on Influencing Factors of Science and Technology Innovation in Construction Enterprises Based on DEMATEL-AISM

Linang Feng ()
Additional contact information
Linang Feng: Beijing Jiaotong University, School of Economics and Management

A chapter in Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), 2024, pp 711-721 from Springer

Abstract: Abstract Numerous factors influence technological innovation in construction enterprises. Through literature review and expert surveys, this study identifies and summarizes eight influencing factors on technological innovation in existing construction enterprises. A DEMATEL-AISM model is constructed to establish the hierarchical structure and causal pathways of the influencing factors. The research reveals that these factors can be categorized into five layers. The formulation and implementation of enterprise innovation strategy is the root factor, and the centrality is also the largest. Meanwhile, the growth rate of operating profit is identified as a result factor. Based on the results of the study, relevant recommendations are made, which are expected to contribute to the high-quality development of the construction industry.

Keywords: DEMATEL; adversarial interpretation structure model; science and technology innovation; influencing factor (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:978-94-6463-570-6_71

Ordering information: This item can be ordered from
http://www.springer.com/9789464635706

DOI: 10.2991/978-94-6463-570-6_71

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 ().