Study of factors affecting the performance of construction projects in AEC industry

被引:34
作者
Dixit, Saurav [1 ,2 ]
机构
[1] Construct Unique Bldg & Struct, St Petersburg, Russia
[2] Sect 106, Faridabad 121101, Haryana, India
来源
ORGANIZATION TECHNOLOGY AND MANAGEMENT IN CONSTRUCTION | 2020年 / 12卷 / 01期
关键词
project performance; construction project; construction management; construction productivity; project management; building construction; LABOR PRODUCTIVITY; SUSTAINABILITY;
D O I
10.2478/otmcj-2020-0022
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
A construction project is like a living entity and requires the interconnection and coordination of several stakeholders and many of them have their objectives, which sometimes create a conflict of interest between the teams and within the teams. The success of any project is repeatable, and a set of attributes for the success of a construction project can be identified, requiring discipline and hard work. The construction sector is the engine of growth for a nation and supplies services and goods to other industries. The objective of the study is to analyse the enabling factors affecting the performance construction projects in Architecture Engineering and Construction industry. The methodology chosen for the study is to collect primary data from the Indian construction industry using structured questionnaire surveys. The collected data are analysed using reliability and factor analyses. The findings of the study provide the value of reliability, that is, Cronbach's alpha value of (0.86) of the data collected using a questionnaire survey. Furthermore, exploratory factor analysis produced five main significant factors based on covariance between the attributes and grouped into factors such as site management and coordination, leadership and financial management, planning, commitment, and coordination having a variance of 17.65, 11.8, 9.1, 8.5, and 7.5%, respectively. This article is the extended version of the paper accepted and presented at CCC2019.
引用
收藏
页码:2275 / 2282
页数:8
相关论文
共 40 条
[1]  
Abdul KadirM.R., 2005, STRUCT SURV, V23, P42, DOI [DOI 10.1108/02630800510586907, 10.1108/02630800510586907]
[2]  
Alhiddi A., 2019, Periodica Polytechnica Architecture, V50, P148, DOI [10.3311/PPar.12721, DOI 10.3311/PPAR.12711]
[3]   Construction project control using artificial neural networks [J].
AlTabtabai, H ;
Kartam, N ;
Flood, I ;
Alex, AP .
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, 1997, 11 (01) :45-57
[4]  
Ameh O.J., 2011, INT J CONSTRUCTION S, V1, P56, DOI DOI 10.14424/IJCSCM101011-56-67
[5]  
Apolot R., 2011, J CONSTRUCTION DEV C, DOI [10.5121/ijcsit.2011.3406, DOI 10.5121/IJCSIT.2011.3406]
[6]  
Arditi D., 2002, Construction Management and Economics, V20, P353
[7]  
Ashly Babu M., 2014, ROLE INSURANCE CONST, P30
[8]  
Best R, 2010, CONSTR ECON BUILD, V10, P1
[9]   Trust and productivity in Australian construction projects: a subcontractor perspective [J].
Chalker, Mathew ;
Loosemore, Martin .
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2016, 23 (02) :192-210
[10]   The Australian construction industry: is the shadow economy distorting productivity? [J].
Chancellor, Will ;
Abbott, Malcolm .
CONSTRUCTION MANAGEMENT AND ECONOMICS, 2015, 33 (03) :176-186