{"product_id":"streamline-workflows-boost-labor-productivity-von-nina","title":"Streamline Workflows: Boost Labor Productivity","description":"The purpose of this research was to evaluate contextual factors affecting labour\nproductivity on construction projects, and whether these factors differ based on\nconstruction projects, company or location. According to a report by McKinsey Global\nInstitute (MGI) (2017), globally, the construction industry accounts for 13% of the\nGross Domestic Product (GDP) and employs 7% of the world’s working population,\nmaking the construction industry one of the leading contributors to GDP (PWC, 2016;\nBarbosa et al., 2017; StatsSA, 2017). Barbosa et al. (2017) said that in the past 20 years\nthe construction industry has had a 1% annual productivity growth globally.\nDurdyev and Mbachu (2011) argue that productivity outside of the contextual\ndefinition and clarity of the construction project’s objectives is a complicated concept\nto understand. Construction and labour productivity are described as output obtained\ndivided by input expended by Tran and Tookey (2011) and the Organisation for\nEconomic Cooperation and Development ([OECD] 2011) respectively. While the\nBuilding and Construction Sector Productivity Taskforce (BCSPT) expand on this noting\nthat productivity is the construction industry’s ability to convert inputs into outputs\n(BCSPT, 2009).\nWhiteside (2006) proposes that labour productivity is the output average of direct\nlabour hours to install a unit of material. However, Allmon et al. (2000) argue that\nlabour productivity can only be defined when an organisation or the project has\nidentified the base or norm of what constitutes labour productivity. This study agrees\nwith the proposition raised by Allmon et al. (2000) because logically a base or norm\nwill be required to know whether labour is productive or not. It follows that if a\nconstruction project commences without clarity on the expectation level of\nproductivity or a standard for efficient labour productivity, there will be no knowledge\nof how the project has performed.\nThroughout literature, different scholars view labour productivity as one of the factors\nhaving a significant influence on construction productivity (Makulsawatudom et al.,\n2004; Enshassi et al., 2007; Jarkas and Bitar, 2012; Jarkas, 2015; Okorafor et al., 2016).\nLim (1995) argues that labour productivity is amongst 17 factors found to impact\nproject productivity, while Hughes and Thorpe (2014), found labour productivity to be\namongst the 15 listed factors affecting project productivity.\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783384225474\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783384225474","offer_id":48645943165253,"sku":"9783384225474","price":26.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/c715a00c-3f1f-49a3-b6aa-20b1444c37a5.jpg?v=1776493056","url":"https:\/\/shop.autorenwelt.de\/products\/streamline-workflows-boost-labor-productivity-von-nina","provider":"Autorenwelt Shop","version":"1.0","type":"link"}