The construction workers’ preference and acceptance of innovations in data provision:A stated choice experiment study in the Netherlands

Building information modeling (BIM) and Augmented Reality (AR) have many potential benefits if it can be implemented on the construction site. However, the adoption is very limited so far. Till now, construction workers get information mostly in a paper-based format, which is an obstacle for innovation implementation on site. To identify which forms of data provision are more preferred, and which attributes would influence construction workers’ acceptance of innovations on-site, this paper reports the results of two stated choice experiments using discrete choice methods. A total of 160 valid... Mehr ...

Verfasser: Yang, Dujuan
de Vries, Bauke
van der Schaft, Laurens
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Reihe/Periodikum: Yang , D , de Vries , B & van der Schaft , L 2021 , ' The construction workers’ preference and acceptance of innovations in data provision : A stated choice experiment study in the Netherlands ' , Journal of Building Engineering , vol. 35 , 101970 . https://doi.org/10.1016/j.jobe.2020.101970
Schlagwörter: Construction sites / Construction workers / Data innovation / Discrete choice methods / Stated choice experiments
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29195365
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://research.tue.nl/en/publications/0921de1d-0d49-4d25-9a6b-86ba8958bb6f

Building information modeling (BIM) and Augmented Reality (AR) have many potential benefits if it can be implemented on the construction site. However, the adoption is very limited so far. Till now, construction workers get information mostly in a paper-based format, which is an obstacle for innovation implementation on site. To identify which forms of data provision are more preferred, and which attributes would influence construction workers’ acceptance of innovations on-site, this paper reports the results of two stated choice experiments using discrete choice methods. A total of 160 valid respondents were recruited from construction sites in the Netherlands to complete an online experiment. The mixed logit (ML) model was estimated to unravel construction workers’ preferences. The results show that construction workers are willing to accept new forms of data provision and new technologies in general. They are more likely to accept innovation if there is enough guidance.