To read this content please select one of the options below:

Contractor selection for green buildings based on the fuzzy Kano model and TOPSIS: a developer satisfaction perspective

Jin Cai (Department of Construction Management, Dalian University of Technology, Dalian, China)
Zhongfu Li (Department of Construction Management, Dalian University of Technology, Dalian, China)
Yudan Dou (Department of Construction Management, Dalian University of Technology, Dalian, China)
Yue Teng (Department of Construction Management, Dalian University of Technology, Dalian, China)
Mengqi Yuan (Department of Construction Management, Dalian University of Technology, Dalian, China) (Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 16 August 2022

Issue publication date: 28 November 2023

418

Abstract

Purpose

Contractor selection is critical in green buildings (GBs) since the preferred contractor has the responsibility to achieve construction sustainability as well as relationship sustainability. The developer satisfaction reflecting requirements can boost the cooperative relationship among stakeholders and act as an evaluation scale for the success of GB projects, which needs to be emphasized in the selection process but little involved in the existing research. This study explores improving GB contractor (GBC) selection by integrating developer satisfaction into selection procedures.

Design/methodology/approach

A systematic framework of GBC selection including twenty-five criteria from literature review and experts survey is firstly constructed. Both tactical and strategic criteria are further classified into Kano categories (must-be, one-dimensional, and attractive categories) using the fuzzy Kano model (FKM), and weighted by the developer satisfaction index. The model proposed by this study combining FKM and TOPSIS divides the selection process into the filtration phase and selection phase by Kano categories. The proposed model is finally verified through performance comparison among multiple methods in a case.

Findings

Selection criteria are measured linearly and nonlinearly, showing criteria having nonlinear satisfaction change accounts for two-thirds of all. Criteria at tactical level tend to be must-be or one-dimensional categories for the developer, and most strategic criteria are classed as the attractive category, indicating that adding strategic criteria is necessary for long-term cooperation. The proposed model, using developer satisfaction to improve the selection process, ensures the selected GBC to be the most satisfactory with requirements of the developer and makes the performance of GBCs easily distinguishable.

Originality/value

This study contributes to the existing body of knowledge for promoting relationship sustainability by supplementing an integrated model with emphasis on developer satisfaction in GBC selection, so as to establish a good initial foundation due to the match between performances of GBCs and needs of developers. It not only helps maximize developer satisfaction in GBC selection by applying satisfaction to pre-construction management, but also instructs GBCs to prioritize performance improvements. The framework is also conducive for developers to classify selection criteria and select other participants (like green suppliers) from the satisfaction perspective in GBs.

Keywords

Acknowledgements

The National Natural Science Foundation of China (No. 72071027) and the China Thirteenth Five-Year Plan National Key Research and Development Program (No. 2018YFC0705901-05) provided support for this study.

Citation

Cai, J., Li, Z., Dou, Y., Teng, Y. and Yuan, M. (2023), "Contractor selection for green buildings based on the fuzzy Kano model and TOPSIS: a developer satisfaction perspective", Engineering, Construction and Architectural Management, Vol. 30 No. 10, pp. 5073-5108. https://doi.org/10.1108/ECAM-01-2022-0054

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

Related articles