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A novel knowledge management method about integrated grounded theory for performance assessment of green building construction engineering

Authors :
Bai Xiaoping
Liu Wansong
Source :
Journal of Asian Architecture and Building Engineering, Vol 22, Iss 4, Pp 2309-2319 (2023)
Publication Year :
2023
Publisher :
Taylor & Francis Group, 2023.

Abstract

The green building construction is an important part of the green building, and setting up a suitable assessment model about green building construction engineering has great significance. This paper combined green construction and project management knowledge for performance assessment of green building construction engineering and used integrated method of grounded theory and G2 (G2 empowerment method) entropy method as a knowledge management strategy to build the performance assessment index set. Firstly, based on the existing literature and semi-structured interview data, grounded theory coding technology is used to identify the influencing factors of green construction performance to determine the assessment index set and corresponding assessment standards and formed the assessment index system. Then, the subjective and objective weighting methods are combined, and the G2 entropy method is used to carry out comprehensive weighting. This method has the advantages of comprehensive weighting and avoids the problem of how to allocate the proportion of subjective and objective weight in traditional comprehensive weighting. Finally, a novel knowledge management comprehensive method of performance assessment about green building construction engineering was presented. The detailed methods and steps presented in this paper can provide reference for performance assessment and knowledge management of green building construction engineering.

Details

Language :
English
ISSN :
13472852 and 13467581
Volume :
22
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Journal of Asian Architecture and Building Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.7f65b54054b340499b82b73afeb18438
Document Type :
article
Full Text :
https://doi.org/10.1080/13467581.2022.2145206