Items with Index Term: multivariate statistical analysis
Calvetti, D (2021) Electronic productivity performance monitoring of construction workers. PhD thesis, Universidade do Porto, Portugal.
Chen, Y Q; Lu, H; Lu, W and Zhang, N (2010) Analysis of project delivery systems in Chinese construction industry with data envelopment analysis (DEA). Engineering, Construction and Architectural Management, 17(6), pp. 598-614. ISSN 0969-9988
Chen, Y Q; Zhang, S J; Liu, L S and Hu, J (2015) Risk perception and propensity in bid/no-bid decision-making of construction projects. Engineering, Construction and Architectural Management, 22(1), pp. 2-20. ISSN 0969-9988
Dash, A (2021) Determinants of evs adoption: A study on green behavior of consumers. Smart and Sustainable Built Environment, 10(1), pp. 125-137. ISSN 2046-6099
Fan, L; Ho, C and Ng, V (2001) A study of quantity surveyors' ethical behaviour. Construction Management and Economics, 19(1), pp. 19-36. ISSN 01446193
Kaluarachchi, M; Waidyasekara, K and Rameezdeen, R (2022) Antecedents of noise pollution control behaviour of employees of construction companies. Built Environment Project and Asset Management, 12(2), pp. 277-292. ISSN 2044-124X
Mahamadu, A-M (2017) Development of a decision support framework to aid selection of construction supply chain organisations for BIM-enabled projects. PhD thesis, University of the West of England, Bristol, UK.
Tuan Son, N; Sherif, M and Mostafa, S (2021) Project stakeholder's engagement and performance: A comparison between complex and non-complex projects using SEM. Built Environment Project and Asset Management, 11(5), pp. 804-818. ISSN 2044-124X
Wang, M; Shaari, N; Abidin, S Z and He, Y (2025) Service design in the context of sustainable production and consumption: A case study of elderly fall-protection clothing. Journal of Engineering, Design and Technology, 23(6), pp. 1919-1939. ISSN 1726-0531
Zhang S J, C Y Q F Y C (2013) Risk attitude of Chinese contractors in bid/no bid decision-making of international projects: A preliminary study. In: Smith, S D and Ahiaga-Dagbui, D D (eds.) Proceedings of 29th Annual ARCOM Conference, 2-4 September 2013, Reading, UK.
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