Relevant bibliographies by topics / Labor productivity. Construction industry

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Labor productivity. Construction industry'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Labor productivity. Construction industry"

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Chaturvedi, Shobhit, Jitesh J. Thakkar, and Ravi Shankar. "Labor productivity in the construction industry." Benchmarking: An International Journal 25, no. 1 (February 5, 2018): 334–56. http://dx.doi.org/10.1108/bij-11-2016-0171.

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Purpose As the construction industry undertakes complex and innovative projects, improving the labor productivity that helps accomplish the triple bottom line dimensions (time, schedule and performance) assumes greater importance. It is of even greater importance in developing countries like India where most of building construction takes place on a manual basis. In response, the purpose of this paper is to develop an evaluation framework for assessing the labor productivity in the construction industry. The application of the framework is demonstrated for the case of the Indian construction industry and key insights are reported. Design/methodology/approach The literature review and expert survey has helped to identify 4 main dimensions and 14 different factors affecting labor productivity in the construction industry. An application of Decision-Making Trial and Evaluation Laboratory was deployed to investigate into the causality of labor productivity dimensions. Findings The research delivers a quantitative labor productivity assessment framework for evaluating causal relationships among the factors influencing labor productivity in the construction industry. The result obtained for a typical case of the Indian construction industry showed that the safety at construction site has a profound effect on labor-related factors. Originality/value The paper makes two contributions in the domain of labor productivity assessment in the construction industry. First, it proposes an evaluation framework to investigate into the causal relationships among the labor productivity factors. This proposed framework is robust and can be used to compare the performance of different construction projects using an integrated approach proposed by this research. Such exploratory analysis would assist benchmarking studies. Second, it undertakes an empirical investigation for the Indian construction industry to develop key managerial insights and extend policy-related recommendations.
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Almamlook, Rabia, Mohamed Bzizi, Maha Al-Kbisbeh, Tgarid Ali, and Ekbal Almajiri. "Factors Affecting Labor Productivity in the Construction Industry." American Journal of Environmental Science and Engineering 4, no. 2 (2020): 24. http://dx.doi.org/10.11648/j.ajese.20200402.13.

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Jang, Ho-Myun, Kyong-Hoon Kim, and Jae-Jun Kim. "Labor Productivity Model on Construction Industry Using System Thinking." Journal of the Korea Institute of Building Construction 9, no. 3 (June 20, 2009): 79–85. http://dx.doi.org/10.5345/jkic.2009.9.3.079.

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Rojas, Eddy M., and Peerapong Aramvareekul. "Labor Productivity Drivers and Opportunities in the Construction Industry." Journal of Management in Engineering 19, no. 2 (April 2003): 78–82. http://dx.doi.org/10.1061/(asce)0742-597x(2003)19:2(78).

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Chen, Chang Ray, Fei Fei Cheng, and Yong Bai. "Comparative Analysis of Construction Process at Building Sites." Applied Mechanics and Materials 865 (June 2017): 390–96. http://dx.doi.org/10.4028/www.scientific.net/amm.865.390.

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The accurate measurement of labor productivity data can mean the difference between the success and failure of a building construction project. Due to the sheer diversity and complexity of international building construction practices, minimal research has been performed on comparative labor productivity between countries. In this paper, the authors present a research project that was conducted by comparing the Chinese labor productivity with the U.S. labor productivity in building construction projects. The labor productivity data were collected from different jobsites in the U.S. and China by using a time-study method with established data collection procedures. Furthermore, work sampling in the HVAC system work category was used as a method to gather information about the amount of labor productive and nonproductive work hours spent on construction activities. It is certain that there are many factors affecting productivity in the building construction process. With the lack of timely and effective project quality supervision, construction quality cannot be guaranteed. For this reason, various statistical analysis methods were applied to analyze and compare the collected productivity data from both countries. Findings of this productivity comparison can provide industry practitioners the advancement of knowledge in the Chinese building construction industry and it can support benchmarking and continuous improvement of productivity with a greater efficiency in both the US and Chinese building construction markets.
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Anees, Muneer, Muhammad Saqib, and Darya Memon. "Identification of Factors Affecting Construction Productivity in Pakistan Industry." Sir Syed University Research Journal of Engineering & Technology 6, no. 1 (December 19, 2016): 5. http://dx.doi.org/10.33317/ssurj.v6i1.50.

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Construction productivity is significantrequirement which is point of focus for every constructionmanager. The main purpose of this study is to understand andhighlight the factors which affect the labor productivity inPakistan focusing Karachi which is the financial hub of thecountry. Karachi generates a big chunk of revenue andcontributes to gross domestic product (GDP) of Pakistan. Themain objective of this study is to identify the main factorsaffecting labor productivity of contractor, consultant andperspective of client. The data collection was carried out by onehundred sixty (160) questionnaire surveys. The results showedthat feeble management and worst site conditions are solelyresponsible for degradation in both efficiency and output of theproject.
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Vereen, Stephanie C., William Rasdorf, and Joseph E. Hummer. "Development and Comparative Analysis of Construction Industry Labor Productivity Metrics." Journal of Construction Engineering and Management 142, no. 7 (July 2016): 04016020. http://dx.doi.org/10.1061/(asce)co.1943-7862.0001112.

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Anees, Muneer, Muhammad Saqib, and Darya Memon. "5 Identification of Factors Affecting Construction Productivity in Pakistan Industry." Sir Syed Research Journal of Engineering & Technology 1, no. 1 (December 19, 2016): 5. http://dx.doi.org/10.33317/ssurj.v1i1.50.

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Construction productivity is significantrequirement which is point of focus for every constructionmanager. The main purpose of this study is to understand andhighlight the factors which affect the labor productivity inPakistan focusing Karachi which is the financial hub of thecountry. Karachi generates a big chunk of revenue andcontributes to gross domestic product (GDP) of Pakistan. Themain objective of this study is to identify the main factorsaffecting labor productivity of contractor, consultant andperspective of client. The data collection was carried out by onehundred sixty (160) questionnaire surveys. The results showedthat feeble management and worst site conditions are solelyresponsible for degradation in both efficiency and output of theproject.
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Sonmez, Rifat. "Impact of occasional overtime on construction labor productivity: quantitative analysis." Canadian Journal of Civil Engineering 34, no. 7 (July 1, 2007): 803–8. http://dx.doi.org/10.1139/l07-004.

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Scheduled and occasional overtime practices have been used frequently in the construction industry. Past research indicated that continuous scheduled overtime could have a negative effect on labor productivity. The impact of occasional overtime on productivity is generally expected to be less than the impact of scheduled overtime. However, few studies have evaluated the effects of occasional overtime on productivity, which is the main objective of this paper. Productivity data for 234 weeks were collected for quantitative analysis. The t test was performed initially to determine the statistical significance of the impact of occasional overtime. The assessment of productivity data samples revealed possible deviations from the normal distribution. The Wilcoxon rank sum test was implemented as an alternative to the t test. The results of quantitative analysis indicate that moderate levels of occasional overtime did not have a significant impact on productivity. Based on the findings in this study, the potential advantages of occasional overtime practices are discussed.Key words: construction industry, labor productivity, occasional overtime, normality.
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Karthik, Dasari, and C. B. K. Rao. "Influence of Human Parameters on Labor Productivity in the Construction Industry." Human Factors: The Journal of the Human Factors and Ergonomics Society 61, no. 7 (March 14, 2019): 1086–98. http://dx.doi.org/10.1177/0018720819829944.

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Objective: The objective of this article is to investigate the influence of human parameters on qualitative assessment of labor productivity (LP) in the construction industry. Background: The theories involving workers have identified various parameters on physical efficiency, such as heart rate, relative heart rate, and calorie count, so as to improve the safety and social conditions of construction labor, thereby increasing LP. However, there is no direct emphasis on assessment of LP using human parameters related to physical strength. Method: An exploratory study was conducted on 17 construction workers by observing their task-level LP in real time at a construction site. Human parameters, such as age, body mass index (BMI), handgrip strength, and upper body muscle strength of the laborers, were measured at the construction site. Performance levels of these workers were placed in three categories, and each worker was assigned a typical weightage to each category when correlated to physical strength. Results: Labor categories among the human parameters that included middle age, normal-range BMI, and strong muscular strength were shown as having higher LP than others. A quantitative parameter called the Human Parameter Index (HPI) was developed based on the performance categories developed for an individual worker. Human parameters revealed a significant relationship with respect to task-level LP. Conclusion and Application: The study determines the influence of human parameters on LP in construction. Introduction of human parameters in the construction industry will help in assessment of LP for various labor-intensive activities.
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Dissertations / Theses on the topic "Labor productivity. Construction industry"

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Blanchard, Frederick L. "Construction industry organization, labor relations and productivity." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12874.

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Husson, David Edward. "Cost tracking and productivity reporting." Master's thesis, This resource online, 1987. http://scholar.lib.vt.edu/theses/available/etd-01202010-020009/.

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Opperman, Alvin Graham. "Supervisory motivational strategies to improve productivity of construction workers." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2375.

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Thesis (MTech (Construction Management))--Cape Peninsula University of Technology, 2016.
This research was carried out to assess the extent to which supervisory motivational strategies can transform construction workers to perform higher levels of productivity. While worker motivation has been proven to improve productivity globally, motivation was rarely implemented in South African conditions. This study gauges the construction workers’ viewpoint on how supervisory motivational strategies can improve worker productivity. A pilot study was conducted in the initial stage of the study to gain more insight into the study. A qualitative research approach was employed using a semi-structured questionnaire to interview construction workers including bricklayers, plumbers, concrete workers, electricians and earthworks workers. The interviews were done in Bellville in the Western Cape at two conveniently selected construction companies. The data was analysed using content data analysis. Most prevalent in the findings of this study is the fact that the workers agreed that a lack of supervisory motivational techniques negatively impact their productivity. This information was helpful in setting up the questionnaires for the main study.
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Kirchev, Filip, and Malin Bartoschek. "Labor Productivity Influence in the Construction Industry : An interpretive approach to project success." Thesis, Jönköping University, Internationella Handelshögskolan, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-52715.

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The construction sector is one of the most important industries for the economy in Sweden. Between 2010 to November of 2020, there has been an increase in employment in the construction industry by 35.4 percent. In 2019 the Swedish construction sector was valued at EUR 53.3 billion, where the construction sub-sector makes up 47.6 percent (European Construction Sector Observatory - Country profile Sweden, 2020).  The construction industry is a fundamental part of society, whereas labor productivity, which represents the quantity of work performed per hour (Park 2006), is a vital element in the process of construction. Gunduz et al. (2020) state that labor consumes a significant amount of cost in construction projects, thus labor productivity is a determinator of cost optimization i.e., the process of making something as good or effective as possible (Cambridge Online Dictionary, n.d.). The benefit of productivity is seen as reduced construction time and cost (Fox, Marsh & Cockerham, 2010). Moreover, a lack of effective management activity towards construction resources can potentially decrease labor productivity. Thus, the familiarity of project managers with labor productivity factors is of major importance (Shehata & El-Gohary, 2011) and contributes to project success (Gunduz & Abu-Hijleh, 2020).
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Law, Gordon Ki-Wai. "Decision support system for construction cycle design." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26715.

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The objective of this thesis is to develop a conceptual design of a computerized environment for detailed design of construction activities associated with projects characterized by significant repetition. High-rise building construction is used as the example of repetitive construction projects. The construction cycle design of a typical floor structure is studied to gain an understanding of the difficulty and complexity involved in the activity design process. Modeling techniques currently used in construction planning, modeling techniques developed in the field of operations research, and assembly line balancing techniques used in industrial engineering are reviewed to determine their applicability for detailed construction cycle design. Using the concept of decision support systems developed in the fields of management science and knowledge engineering for solving ill-structured and ill-defined problems, a conceptual design of a decision support system for construction cycle design is developed.
Applied Science, Faculty of
Civil Engineering, Department of
Graduate
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Talhouni, Bassam T. K. "Measurement and analysis of construction labour productivity." Thesis, University of Dundee, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334262.

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An analytical approach for explaining the variability in labour intensive construction operations has been developed. A consistent method of collecting productivity developed jointly at the Pennsylvania State University and the University of Dundee has been refined and tested. Data has been collected daily from seven Scottish sites for continuous periods of up to 3 months. Not only productivity but many of the factors affecting it have been measured. A comprehensive, computerised database has been designed to facilitate data storage and manipulation. The quantification of the impact of each individual factor is based on the assumption that deviations from an operative?s normal output arise because of disturbances imposed by a multiplicity of site factors. The impact of each individual factor causes the average daily productivity to change.
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Abdel-Wahab, Mohamed Samir. "An examination of the relationship between skills development and productivity in the construction industry." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/4658.

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In recent years, the UK government skills policy has emphasised the role of workforce skills development as a key driver of economic success and improving productivity across all sectors of the economy. The importance of skills (as a vehicle for enhancing productivity performance) is highlighted within numerous government reports, such as Skills White Papers (2003 and 2005), in addition to the Leitch Review of Skills (2006) which coincided with the outset of this research. Thus, the aim of this research was to examine the relationship between skills development and productivity in the construction industry in order to assess the assumptions of government skills policy in the context of the sector. A multi-method approach was adopted in this research. This involved the analysis of: official construction statistics, levy/grant and financial accounts data of construction companies, in addition to a telephone survey. The main findings of the research are published in five peer reviewed academic papers, demonstrating the tenuous nature of the relationship between skills development and productivity performance, particularly when considering the heterogeneous nature of the construction industry. Government claims about the mono-causal relationship between skills and productivity should be treated with caution. A simple boost in qualification levels or participation rates of training is unlikely to lead to productivity improvements in the construction sector. However, skills development and training activities needs to be targeted and focused if the desired outcome of enhancing productivity performance is to be achieved. Construction companies needs to be proactive in addressing the skills and training needs of their business through drawing on the various support available through CITBConstructionSkills training grants or participating in appropriate skills/training initiatives, such as apprenticeship schemes. The provision of 'productivity-based' training grants should be considered by CITB-CS in order to prompt construction companies to consider training as a plausible means for enhancing their productivity performance. Finally, the recommendations presented in this thesis and areas for further research sets out the potential way forward in terms of advancing knowledge in this area.
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Hund, Peter J. "A review of construction work sampling methods and an investigation into their use in South Africa." Bachelor's thesis, University of Cape Town, 1987. http://hdl.handle.net/11427/26617.

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Work sampling had its origin in industrial engineering; however, its use in construction has increased greatly during the 1970's and 1980's. Research would suggest that most of the innovation in this field is taking place in the United States. The basic methods of Work Sampling have been developed to suit the peculiarities of the construction site as opposed to the production line or factory where it was first used. The objectives of this report are as follows: 1. To review the existing methods of Construction Work Sampling as well as discuss further aspects and problems which should be considered when undertaking a Work Sampling study. 2. To compare Construction Work Sampling with other methods of measuring productivity. 3. To evaluate by means of a case study the ease of applicability of the sampling methods to a South African construction site, and at the same time to identify differences between the description of the methods in theory and their use in practice. 4. To establish by means of a questionnaire the extent to which Construction Work Sampling methods are already in use in South Africa as well as other related information. Information for this report was obtained from journals, manuals, text books, interviews, and the case study and questionnaires mentioned.
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Diaz, Zarate Gerardo Daniel. "A knowledge-based system for estimating the duration of cast in place concrete activities." FIU Digital Commons, 1992. http://digitalcommons.fiu.edu/etd/2806.

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Mathura, Gonasagree Sindy. "Influences on productivity of construction projects with particular reference to core labour, unskilled labour and leadership style of managers." Thesis, Nelson Mandela Metropolitan University, 2014. http://hdl.handle.net/10948/6851.

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Construction productivity is an interesting phenomenon which was an initial study into time and motion. However this remains a vital part of the construction industry today as it takes into consideration cost-savings, a precise timeous delivery of projects and the correct usage of materials. This phenomenon itself is a huge challenge to many companies in South Africa. The construction industry in South Africa is seen as a tool to alleviate the increasing unemployment and poverty levels. The ruling party, the African National Congress (ANC), has made statements to decrease the unemployment rate and due to these promises, the imposition of the use of local unskilled labour from the local communities has become the norm on the majority of construction projects. This formed the basis of the Expanded Public Works Programme. This initiative has indeed shown a huge success but the programme lacks long-term support. The majority of these workers are taken on short-term projects and thereafter the workers are returned to the unemployment pool. The workers are also aware of the short-term projects and therefore there is a lack of motivation which inevitably affects the productivity on any construction site. This study looks at the challenges faced by contractor's in the Eastern Cape and analyses the effects of the use of unskilled labour from the local community. Questionnaires were completed as a measurement instrument to determine the motivation, leadership style and the communication levels among the unskilled, core and the managers on construction projects. The productivity achievements of the unskilled labour and the core labour will be measured and compared and the findings are discussed.
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Books on the topic "Labor productivity. Construction industry"

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Construction productivity improvement. New York: Elsevier, 1987.

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Dozzi, S. P. Productivity in construction. Ottawa, Ont: National Research Council, Institute for Research in Construction, 1993.

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Bernold, Leonhard E. Managing productivity in construction. Hoboken, N.J: Wiley, 2010.

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Office, International Labour, ed. Improving site productivity in the construction industry. Geneva: International Labour Office, 1987.

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William, Schwartzkopf, ed. Calculating lost labor productivity in construction claims. New York: Wiley Law Publications, 1995.

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11, Construction Industry Board Working Group. Towards a 30% productivity improvement in construction. London: Thomas Telford, 1996.

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Alfeld, Louis Edward. Construction productivity: On-site measurement and management. New York: McGraw-Hill, 1988.

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European Construction Institute. Productivity Task Force. Total productivity management: Guidelines for the construction phase. Loughborough: European Construction Institute, 1994.

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Bernold, Leonhard E. Managing performance in construction. Hoboken, N.J: Wiley, 2010.

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Daneshgari, Parviz. Application of ASTM E2691 standard practice for job productivity measurement. West Conshohocken, PA: ASTM International, 2012.

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Book chapters on the topic "Labor productivity. Construction industry"

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Warren, Robert H. "Craft Labor." In Motivation and Productivity in the Construction Industry, 61–85. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-8827-2_3.

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Lefoka, Mochelo, and Abimbola Windapo. "An Examination of Contextual Factors that Cause Variations in Labour Productivity." In The Construction Industry in the Fourth Industrial Revolution, 355–63. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26528-1_35.

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Chancellor, Will, Malcolm Abbott, and Chris Carson. "Measuring construction industry activity and productivity." In Accounting for Construction, 74–86. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.1201/9781315231785-5.

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Sui Pheng, Low, and Sim Jia Zheng. "Nature of the Construction Industry." In Construction Productivity in the Multilayer Subcontracting System, 9–19. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1831-3_2.

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Sui Pheng, Low, and Sim Jia Zheng. "Case of Singapore’s Construction Industry." In Construction Productivity in the Multilayer Subcontracting System, 21–27. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1831-3_3.

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Chancellor, Will, Malcolm Abbott, and Chris Carson. "Productivity and levels of output in the construction industry." In Accounting for Construction, 87–99. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.1201/9781315231785-6.

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Halegua, Aaron, and Katherine Chin. "Forced Labor in the US Construction Industry." In The Historical Roots of Human Trafficking, 85–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70675-3_6.

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Ibbs, William, and Paul L. Stynchcomb. "Impact on Labor Productivity from Claims and Change Orders." In Construction Contract Claims, Changes, and Dispute Resolution, 201–42. Reston, VA: American Society of Civil Engineers, 2016. http://dx.doi.org/10.1061/9780784414293.ch09.

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Warren, Robert H. "Concepts and the Positive Motivational Climate." In Motivation and Productivity in the Construction Industry, 1–25. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-8827-2_1.

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Warren, Robert H. "Basic Personal Comforts." In Motivation and Productivity in the Construction Industry, 183–205. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-8827-2_10.

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Conference papers on the topic "Labor productivity. Construction industry"

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Liu, Guiwen, and Rongli Xiang. "Impact of Wage on Labor Productivity in Chinese Construction Industry." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5302871.

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Maqsoom, Ahsen, Abdul Mughees, Ammar Khalid Khan, and Muhammad Imran Arif. "Labor Productivity in Construction Industry: Investigating the Influence of Internal Psychosocial Stressors." In International Conference on Construction and Real Estate Management 2018. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481745.002.

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Pegna, Joseph. "Exploratory Investigation of Layered Fabrication Applied to Construction Automation." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0029.

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Abstract After more than a decade of research in construction automation, robotic tools have brought little if any productivity improvement to the industry. In this paper, we argue that automation which applies to most manufacturing industry does not translate effectively to construction which is limited not by labor, but by process. We propose a radical departure from generally accepted concepts in construction automation and demonstrate that new techniques of layered manufacturing can be applied effectively to construction. In the process, we also modified material processing of cement to adapt it to the requirements of rapid prototyping. We illustrate our purpose with sample structures manufactured by incremental deposition of reactive bulk materials (cement and Silica in this instance).
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Ritter, Chelsea, Regina Dias Barkokebas, Xinming Li, and Mohamed Al-Hussein. "Integrated ergonomic and productivity analysis for process improvement of panelised floor manufacturing." In The 19th International Conference on Modelling and Applied Simulation. CAL-TEK srl, 2019. http://dx.doi.org/10.46354/i3m.2019.mas.022.

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Workers in the construction manufacturing industry are often exposed to labour-intensive tasks with ergonomic risks such as awkward body posture, forceful exertion, and repetition motion. Due to the increased productivity and increased repetitive motions resulting from improvement initiatives implemented in offsite construction, the investigation of ergonomic risks associated with these changes is needed. In this context, this paper explores an existing panelised floor production line aiming to minimize its ergonomic risks while improving its current productivity rate. Information on human body motion and productivity are extracted from video recordings. The ergonomic risks associated with specific tasks are identified using an existing ergonomic risk assessment tool (i.e., Rapid Entire Body Assessment (REBA)). The information extracted from the simulation model pertaining to ergonomic risks and productivity supports the decisionmaking process and aids in the prioritization of changes to improve the working environment.
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Pace, Clark B. "Labor Availability and Productivity Forecasting." In Construction Research Congress 2003. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40671(2003)111.

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Hanna, Awad S., Chul-Ki Chang, Jeffery A. Lackney, and Kenneth T. Sullivan. "Overmanning Impact on Construction Labor Productivity." In Construction Research Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40754(183)75.

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Mani, Nirajan, Krishna P. Kisi, and Eddy M. Rojas. "Estimating Labor Productivity Frontier: A Pilot Study." In Construction Research Congress 2014. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413517.083.

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Hanna, Awad S., Chul-Ki Chang, Kenneth T. Sullivan, and Jeffery A. Lackney. "Shift Work Impact on Construction Labor Productivity." In Construction Research Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40754(183)59.

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Porntepkasemsant, Patraporn, and Santi Charoenpornpattana. "Factor affecting construction labor productivity in Thailand." In 2015 International Conference on Industrial Engineering and Operations Management (IEOM). IEEE, 2015. http://dx.doi.org/10.1109/ieom.2015.7093749.

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Shang, Yishu, and Dong Zhai. "Overview and Prospect of Construction Labor Productivity." In 6th International Conference on Electronic, Mechanical, Information and Management Society. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/emim-16.2016.262.

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Reports on the topic "Labor productivity. Construction industry"

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Allen, Steven. Why Construction Industry Productivity is Declining. Cambridge, MA: National Bureau of Economic Research, February 1985. http://dx.doi.org/10.3386/w1555.

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Bai, John (Jianqiu), Daniel Carvalho, and Gordon Phillips. The Impact of Bank Credit on Labor Reallocation and Aggregate Industry Productivity. Cambridge, MA: National Bureau of Economic Research, November 2017. http://dx.doi.org/10.3386/w24081.

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3

Chappell, Nathan, Adam Jaffe, and Trinh Le. Worker Flows, Entry and Productivity in the New Zealand Construction Industry. Cambridge, MA: National Bureau of Economic Research, March 2018. http://dx.doi.org/10.3386/w24376.

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4

Kroft, Kory, Yao Luo, Magne Mogstad, and Bradley Setzler. Imperfect Competition and Rents in Labor and Product Markets: The Case of the Construction Industry. Cambridge, MA: National Bureau of Economic Research, June 2020. http://dx.doi.org/10.3386/w27325.

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5

Kumar, Indraneel, Lionel Beaulieu, Annie Cruz-Porter, Chun Song, Benjamin St. Germain, and Andrey Zhalnin. An Assessment of the Workforce and Occupations in the Highway, Street, and Bridge Construction Industries in Indiana. Purdue University, 2020. http://dx.doi.org/10.5703/1288284315018.

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Abstract:
This project explores workforce and occupations within the highway, street, and bridge construction industries (NAICS 237310) in Indiana. There are five specific deliverable comprised of three data reports, one policy document, and a website. The first data report includes an assessment of the workforce based on the eight-part framework, which are industry, occupations, job postings, hard-to-fill jobs, Classification of Instructional Programs (CIP), GAP Analysis, compatibility, and automation. The report defines a cluster followed by a detailed analysis of the occupations, skills, job postings, etc., in the NAICS 237310 industry in Indiana. The report makes use of specialized labor market databases, such as the Economic Modeling Specialists International (EMSI), CHMURA JobsEQ, etc. The analysis is based only on the jobs covered under the unemployment insurance or the Quarterly Census of Employment and Wages (QCEW) data. The second data report analyzes jobs to jobs flows to and from the construction industry in Indiana, with a particular emphasis on the Great Recession, by utilizing the Bureau of Labor Statistics (BLS) data. The third data report looks into the equal employment opportunity or Section 1391 and 1392 data for Indiana and analyzes specific characteristics of that data. The policy report includes a set of recommendations for workforce development for INDOT and a summary of the three data reports. The key data on occupations within the NAICS 237310 are provided in an interactive website. The website provides a data dashboard for individual INDOT Districts. The policy document recommends steps for development of the highways, streets and bridges construction workforce in INDOT Districts.
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