Secondary Data Analysis on Factors Affecting Labour Productivity in Construction
Secondary Data Analysis on Factors Affecting Labour Productivity in Construction
复制标题
建筑业劳动生产率影响因素二次数据分析
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Dr.K. Murali
中科院分区：
文献类型：
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作者：
Thania Gopal;Dr.K. Murali
生产力在建筑业中具有重要作用。劳动生产率的高低是劳动者的驱动因素、诱发因素和约束因素共同作用的结果，本文的主要目的是对影响建筑业劳动生产率的因素进行二次数据分析。二次分析提供了一种经济有效的方式来理解一项研究，也有助于设计一次分析。基于研究，它被观察到，二次分析技术，如常数比较分析，经典的内容分析和域分析确定了54个因素，并分为9组，即劳动力，管理团队，心理，进度压缩，材料/设备，监督，安全，外部和杂项。二次分析对于确定主要分析期间调查的关键领域很有价值，这将有助于提高劳动生产率。
Productivity has an important role in construction industry. The level of productivity is the result of the driving, induced and restraining factors acting upon the workers.The main objective of the paper is to perform secondary data analysis on the factors affecting labour productivity in construction. The secondary analysis provides a cost effective way of understanding a research and also helpful in designing for primary analysis. Based on study it was observed that the secondary analysis techniques such as constant comparison analysis, classical content analysis and domain analysis identified fifty four factors and were grouped under nine groups namely workforce, management team, psychological, schedule compression, material/equipment, supervision, safety, external and miscellaneous. Secondary analysis is valuable for identifying the critical areas investigated during the primary analysis which will helpful in improving the productivity of the labour.