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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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Loera-Hernández, Imelda, and Gerardo Espinosa-Garza. "Labor Productivity in Projects of Construction and Industrial Maintenance." Key Engineering Materials 615 (June 2014): 139–44. http://dx.doi.org/10.4028/www.scientific.net/kem.615.139.
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This paper is an accomplished investigation in a main industrial group of the city of Altamira, México, as part of a program of improvement of the labor productivity in the area of construction and maintenance of Aguila Industrial Group. The research focuses on the development of a methodology to assess the labor productivity of the industrial maintenance projects. In the methodology, we propose the use of a work sampling tool in order to identify the main factors that affect labor productivity as well as we proposes apply lean manufacturing tools to improvement labor productivity. In the paper, we discuss the implementation findings of the developed methodology as well as the preliminary outcomes of the main factors affecting labor productivity in the construction and maintenance industry; such outcomes provide a guide in the labor productivity management in one of the sectors that exhibits less development grade in most of the Latin-American countries.
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Hajikazemi, Sara, Bjørn Andersen, and Jan Alexander Langlo. "Analyzing electrical installation labor productivity through work sampling." International Journal of Productivity and Performance Management 66, no. 4 (April 10, 2017): 539–53. http://dx.doi.org/10.1108/ijppm-06-2016-0122.
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Purpose The construction industry is a labor-intensive industry, hence, the presence of labor with high productivity at each stage of the project plays a significant role in achieving project success. The purpose of this paper is to provide real-life empirical data about the current level of construction productivity, in this case electrical installation work, within construction projects in Norway. In addition, it was of interest to identify the areas which have the highest potential for improvement of labor productivity. Design/methodology/approach This study considers the construction labor productivity through an elaboration on productive vs unproductive time within construction projects. It is based on a “frequency study” done on eight construction projects in Norway. The “work sampling” method has been used for collection of empirical data. For each project, four electricians were observed an entire working day and the amount of time they spent on performing each activity was recorded every 60th seconds. The activities observed were based on a predefined set of activities. Findings The results of the observations show that on average, 61.1 percent of the time was direct value-added work. This number is significantly better than what is normally discussed as being productive time. However, the findings also show that there is still potential for improvement. The activities that have the highest potential for improvement include “material transfer,” “amendments to already executed installation,” “personal needs” and “waiting times.” Practical implications The study results will be of immense benefit to managers of construction projects as well as managers of construction organizations in enhancing their project performance and productivity. Originality/value This paper contributes both theoretically and empirically to the current discussion and findings on labor productivity and its relation to project success. The results presented in this paper have important implications of labor productivity in construction projects and future studies in the area of project performance.
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Ma, Le, Chunlu Liu, and Anthony Mills. "Construction labor productivity convergence: a conditional frontier approach." Engineering, Construction and Architectural Management 23, no. 3 (May 16, 2016): 283–301. http://dx.doi.org/10.1108/ecam-03-2015-0040.
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Purpose – Understanding and simulating construction activities is a vital issue from a macro-perspective, since construction is an important contributor in economic development. Although the construction labor productivity frontier has attracted much research effort, the temporal and regional characteristics have not yet been explored. The purpose of this paper is to investigate the long-run equilibrium and dynamics within construction development under a conditional frontier context. Design/methodology/approach – Analogous to the simplified production function, this research adopts the conditional frontier theory to investigate the convergence of construction labor productivity across regions and over time. Error correction models are implemented to identify the long-run equilibrium and dynamics of construction labor productivity against three types of convergence hypotheses, while a panel regression method is used to capture the regional heterogeneity. The developed models are applied to investigate and simulate the construction labor productivity in the Australian states and territories. Findings – The results suggest that construction labor productivity in Australia should converge to stable frontiers in a long-run perspective. The dynamics of the productivity are mainly caused by the technology utilization efficiency levels of the local construction industry, while the influences of changes in technology level and capital depending appear limited. Five regional clusters of the Australian construction labor productivity are suggested by the simulation results, including New South Wales; Australian Capital Territory; Northern Territory, Queensland, and Western Australia; South Australia; and Tasmania and Victoria. Originality/value – Three types of frontier of construction labor productivity is proposed. An econometric approach is developed to identify the convergence frontier of construction labor productivity across regions over time. The specified model can provides accurate predictions of the construction labor productivity.
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Naoum, Shamil George. "Factors influencing labor productivity on construction sites." International Journal of Productivity and Performance Management 65, no. 3 (March 7, 2016): 401–21. http://dx.doi.org/10.1108/ijppm-03-2015-0045.
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Purpose – Productivity is a worldwide problem and efforts have been made over the last three decades or so to explore ways to increase the rate of productivity on construction sites. The purpose of this paper is to investigate the state of the art in productivity research and to present the findings of a survey into the factors that can impair productivity on site. Design/methodology/approach – A literature review is structured under five general headings: pre-construction activities; activities during construction; managerial and leadership issues; motivational factors; and organizational factors. In total, 46 determinants were extracted from the above headings and were assessed by 36 main contractors. Findings – The literature review revealed that while there has been an advancement in developing techniques and tools to improving productivity on site, more need to be done to invest in technology and innovation. The interview survey indicated that factors associated with pre-construction activities, namely, the “experience of the selected site and project managers,” “design errors,” “buildability of the design,” “project planning,” “communication,” “ leadership style” and “procurement method” as the most critical factors influencing site productivity. Other highly ranked factors are “mismanagement of material” and “the work environment.” Research limitations/implications – The survey is based on main contractors and thus not generalized to cover other sectors of the building team such as designers and engineers. Practical implications – Outcome of this research can be used to provide professionals and contractors guidance for focussing, acting upon and controlling the most significant factors perceived to influence the construction labor productivity (CLP) on site. Originality/value – First, reviewed the state of the art and trends in construction productivity research. Second, primary survey with industry experts to rank the relative importance of factors that can influence CLP on site.
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Ambekar, Ajit. "Factors Affecting Construction Productivity: A Review." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 20, 2021): 2113–15. http://dx.doi.org/10.22214/ijraset.2021.35458.
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The civilian level of productivity in the construction industry is of direct interest to site managers and project management teams. Various researchers have tried to identify factors that affect productivity, but no general agreement has been reached. The purpose of this document is to develop a conceptual framework for site performance. The five main groups of independent variables, namely: project characteristics, labor characteristics, management system, resource management and the external environment, are identified as important for site productivity. This document provides an overview of construction productivity.
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Kim, Seonghoon, and Yong Bai. "DEVELOPING A MODEL TO ENHANCE LABOR PRODUCTIVITY USING BRIDGE CONSTRUCTION BENCHMARK DATA." Problems of Management in the 21st Century 7, no. 1 (July 15, 2013): 12–23. http://dx.doi.org/10.33225/pmc/13.07.12.
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The Labor Working Status Monitoring (LWSM) Model that incorporates the WRITE and the industry benchmark data was developed through the five steps to enhance labor producitivty in bridge construction operations. The first step of the development process was to conduct a literature review, followed by the second step which was to develop the WRITE. During the development, the authors identified the necessary hardware and software for the WRITE and outlined a schematic to show the connection of major hardware components. The third step was to develop the LWSM Model for monitoring the on-site construction labor working status by comparing data from the WRITE with the industry benchmark data. A survey methodology was used to acquire industry benchmark data from bridge construction experts. The fourth step was to demonstrate the implementation of the LWSM Model at a bridge construction site. During this phase, labor working status data collected using the WRITE was compared with the benchmark data to form the basis for the project managers and engineers to make efficiency improvement decisions. Finally, research findings and recommendations for future research were outlined. The success of this research made several contributions to the advancement of bridge construction. First, it advances the application of wireless technology in construction management. Second, it provides an advanced technology for project managers and engineers to share labor working status information among project participants. Finally, using the developed technology, project managers and engineers can quickly identify labor efficiency problems and take action to address these problems. . Key words: bridge, benchmark, construction, management, monitoring, productivity, wireless.
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Hai, Dinh Tuan, and Nguyen Van Tam. "Application of the Regression Model for Evaluating Factors Affecting Construction Workers’ Labor Productivity in Vietnam." Open Construction and Building Technology Journal 13, no. 1 (December 31, 2019): 353–62. http://dx.doi.org/10.2174/1874836801913010353.
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Background: In the rapidly-developed construction industry, labor productivity has improved to a great extent, still, it is low compared with many other industries. The enhancement of labor productivity has become important that attracts much attention and focus from researchers in Vietnam and around the world. Aim: This paper focuses on key factors affecting labor productivity of construction sites in Vietnam by introducing a regression model to evaluate the extent of each factor’s impact on the labor productivity of construction workers. Methods: Ten groups of impacting factors were identified as factors relevant to construction worker, factors relevant to site operation and management, factors relevant to motivation, factors relevant to working time, factors relevant to labor working tools, factors relevant to labor working conditions, factors relevant to working safety, factors relevant to project informations, factors relevant to natural environment, and factors relevant to socio-economic conditions. Results: By referring to research results, Vietnamese construction contractors will be able to come up with workable solutions towards a better performance of construction workers. Conclusion: On that basis, the productivity of construction firms and the workers will be improved correspondingly.
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Lu, Hao, Qin Zhang, Qinghong Cui, Yuanyuan Luo, Pardis Pishdad-Bozorgi, and Xiancun Hu. "How Can Information Technology Use Improve Construction Labor Productivity? An Empirical Analysis from China." Sustainability 13, no. 10 (May 12, 2021): 5401. http://dx.doi.org/10.3390/su13105401.
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Labor productivity is a significant indicator to measure the sustainable development potential and competitiveness of the construction industry. Under the background of the integration of global construction industry and information and communication technology (ICT), the pursuit of the growth of construction labor productivity (CLP) requires deepened understanding of how these technological advancements characterized by ICT take effect in the change of CLP as well as what the key factors are that led to the variation of CLP at this stage. The paper aims to investigate the effect of ICT progress on CLP and examine the key factors influencing CPL. Based on the data of 31 regions from the China Construction Industry Statistical Yearbook and the Local Statistical Yearbook during the period 2000–2018, this study proposed new methodology (Cobb–Douglas production function, growth rate model, and Malmquist Data Envelopment Analysis) for measuring the technology progress contribution and identified the key factors affecting the change of CLP. The analysis results illustrate that the information technology progress has a significant contribution to CLP growth, but the contribution rate is decreasing with the growing degree of development of the regional construction industry. Three main factors affecting the further improvement of CLP have been identified: human resources, research and development (R&D) investment, and ICT level. The findings can provide the decision-making reference and the general methodology for the local and international industry practitioners to improve the labor productivity performance of the construction sector.
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Hossain, Md Aslam, Altynay Zhumabekova, Suvash Chandra Paul, and Jong Ryeol Kim. "A Review of 3D Printing in Construction and its Impact on the Labor Market." Sustainability 12, no. 20 (October 15, 2020): 8492. http://dx.doi.org/10.3390/su12208492.
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Construction industry is very labor-intensive and one of the major sources of employment in the world. The industry is experiencing low productivity with minimum technological innovations for decades. In recent times, various automation technologies including 3D printing have received increasing interests in construction. 3D printing in construction is found to be very promising to automate the construction processes and have the potential of saving laborious work, material waste, construction time, risky operation for humans, etc. There has been a comprehensive body of research conducted to understand the recent advances, future prospects and challenges of large-scale adoption of 3D printing in construction projects. Being one the labor-intensive industries, this study also investigates the possible impact on the labor market with increasing adoption of 3D printing in construction. It is found that 3D printing can reduce significant number of labors which can solve the labor shortage problem, especially for the countries where construction is heavily dependent on immigrant workers. In contrast, 3D printing might not be favorable for the countries where construction is one of the main workforces and labor is less expensive. Moreover, 3D construction printing will also require people with special skills related to this new technology.
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Moselhi, Osama, and Stanley Hason. "Robotics in construction: implementation and economic evaluation." Canadian Journal of Civil Engineering 16, no. 5 (October 1, 1989): 678–83. http://dx.doi.org/10.1139/l89-101.
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This paper presents a review of current worldwide efforts in automation and robotization for construction. Over a dozen countries are currently involved in such research efforts to overcome mainly declining productivity, increasing labor costs, hazards in the workplace, and scarcity of skilled labor. Research and development progress of Japanese contractors is emphasized, as they are aggressively introducing robots on site. A number of their leading contractors are visited, and applications of robotic equipment utilized on building construction sites in Japan are summarized. The Canadian construction industry, existing in a harsh climate and affected by shortages of skilled labor and high labor costs, needs to carefully consider construction robotics in order to meet its changing needs. The characteristics of the Canadian environment are presented and factors that have a direct bearing on the feasibility and implementation of robotics are emphasized. Different methods for the evaluation of the value of a construction robot are presented and applied to a numerical example. Comparisons are then made between the U.S. and Canada. It is believed that, given existing technology, economical constraints will either force or impede the implementation of robotics. Key words: Canadian construction industry, construction robot, automation, building construction, productivity, feasibility.
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Gunduz, Murat, and Abdulrahman Abu-Hijleh. "Assessment of Human Productivity Drivers for Construction Labor through Importance Rating and Risk Mapping." Sustainability 12, no. 20 (October 17, 2020): 8614. http://dx.doi.org/10.3390/su12208614.
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Labor constitutes a significant portion of the overall cost of a construction project, where labor productivity is often the main driver of the cost. Although studies on labor productivity factors exist, their frequency of occurrence in terms of their ranking remains unexplored. This study differs from other studies in the literature by introducing the frequency component to the productivity factors, a more realistic ranking of the factors by adjusting the importance by frequency (frequency adjusted importance index) and risk mapping of the factors. Moreover, this study is the first to apply risk mapping on labor productivity drivers. The aim of this paper is to identify the project factors affecting the labor productivity in construction projects and to rank these factors considering the perception of the industry on project performance. A literature review of past relevant studies was performed to identify and draft a list of factors affecting labor productivity in construction projects. Thirty-seven labor productivity factors were presented in a questionnaire to investigate the impact and frequency of their occurrence in construction projects. A 9-point scale structured questionnaire was constructed to measure the importance and the frequency of the factors and to evaluate the ranking for different categories. The frequency adjusted importance index (FAII), Spearman’s rank correlation, and risk mapping were used to study and analyze the 105 completed responses. The participants rated the following factors as the five most significant labor productivity-influencing factors: (1) poor labor supervision, (2) delays in payments, (3) poor work environment, (4) lowly skilled labor, and (5) bad weather conditions.
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Ozturk, Mustafa, Serdar Durdyev, Osman Nuri Aras, Syuhaida Ismail, and Nerija Banaitienė. "HOW EFFECTIVE ARE LABOR WAGES ON LABOR PRODUCTIVITY?: AN EMPIRICAL INVESTIGATION ON THE CONSTRUCTION INDUSTRY OF NEW ZEALAND." Technological and Economic Development of Economy 26, no. 1 (January 24, 2020): 258–70. http://dx.doi.org/10.3846/tede.2020.11917.
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This study empirically investigates (for the period of 1983–2017) the relationships between the parameters (labour wage (LW), labour productivity (LP) and unemployment (UNM) rate) of the construction sector in New Zealand. This study employs the Johansen co-integration test to determine if the relationship in the long run does exist among the investigated variables as well as to assess the relationships. The results show that the LW has a positive effect on the LP, while the UNM affects negatively, which indicates that the higher salary, the more productive labour. In other words, increase in salary stimulates the belief of the workforce that they are substantially paid for their work, which ultimately increases their trust and loyalty to the employer; hence, productivity. Moreover, the results show adverse effect of UNM on LP, which indicates that labours may also lose his/her productivity due to fear of losing his/her job. The model stability is verified by Histogram Normality Test, Breusch-Godfrey Serial Correlation, Heteroscedasticity Breusch-Pagan-Godfrey tests. Thus, the forefront of the construction sector is recommended to consider the empirical relationships determined in this study in order to improve the productivity level at various levels.
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Ghodrati, Nariman, Tak Wing Yiu, and Suzanne Wilkinson. "Unintended consequences of management strategies for improving labor productivity in construction industry." Journal of Safety Research 67 (December 2018): 107–16. http://dx.doi.org/10.1016/j.jsr.2018.09.001.
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Danilkin, I. A. "PRACTICAL RECOMMENDATIONS FOR PROMOTING THE PERFORMANCE OF BUILDING INDUSTRY ENTERPRISE." Proceedings of the Southwest State University 21, no. 3 (June 28, 2017): 114–20. http://dx.doi.org/10.21869/2223-1560-2017-21-3-114-120.
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The construction market is a complex form of organization of economic interrelations between investors, designers, builders, suppliers and ultimate owners. The market for construction products and services in its interrelations is largely a self-regulating system in spite of a large number of various construction industry enterprises operating under conditions of some uncertainty and risk, The manifestation of this property is ensured by competitive pricing, initiative and independence of the enterprises of the construction industry, state regulation of certain areas, a single legal framework for market relations and construction legislation, similar goals and tasks to be solved. It makes the construction industry enterprises fairly open, based on a realistic analysis of the external and internal environment, and in its turn requires the identification of effective methods that can increase one of the most significant criteria for their activities - the productivity of enterprises, and can justify the relevance of management decisions . The level of enterprise productivity of the construction industry is characterized by the ratio of the volume of output and the cost of working time. The pace of its development, the increase in the wages of employees ,the profit of the enterprise and the size of the decrease in the cost of production depend on the level of enterprise productivity . The goal of developing methods and systems for increasing productivity is to identify opportunities for further increase in output, more efficient use of labor resources and working time. It is necessary that every employee knows exactly in which cases and at what size he is entitled to receive a premium to improve the utilization of labor resources and increase the productivity of the enterprise. Employee bonuses are developed on the basis of the achieved results of their activities and the enterprise as a whole.
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Ambekar, Ajit. "An Investigation on Factors affecting Construction Productivity." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 20, 2021): 2116–18. http://dx.doi.org/10.22214/ijraset.2021.35459.
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Productivity is important in construction. Construction productivity is a significant part of production for construction projects. In the construction industry, many external and internal factors are never constant and difficult to predict. This factor leads to a constant change in productivity. It is necessary to make sure that the reduction of construction productivity does not affect the plan and work schedule and does not cause delays. The consequences of these delays can lead to serious loss of money. In addition, significant costs can be saved if productivity is improved, as the same work can be done with less labor, thereby reducing the total cost of construction.
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Понявина, Н. А., Д. И. Емельянов, Е. А. Чеснокова, and М. Е. Попова. "ANALYSIS OF APPLICATION PRINCIPLES OF "LEAN CONSTRUCTION" TECHNOLOGY TO INCREASE LABOR PRODUCTIVITY INDEX." НАУЧНЫЙ ЖУРНАЛ СТРОИТЕЛЬСТВА И АРХИТЕКТУРЫ, no. 1(61) (March 25, 2021): 40–52. http://dx.doi.org/10.36622/vstu.2021.61.1.004.
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Постановка задачи. Необходимо рассмотреть состояние экономики в стране и в мире в различных отраслях, опираясь на показатели производительности труда в разное время. Требуется выполнить сравнительный анализ применения инновационных технологий Lean Construction и Building Information Modeling в строительстве с целью повышения индекса производительности труда. Результаты. По итогам рассмотрения экономической ситуации установлено, что необходимо повышение индекса производительности труда в строительстве. При выполнении сравнительного анализа был разработан алгоритм и формулы факторов влияния технологий бережливого строительства и информационного моделирования на повышение производительности труда в строительной отрасли. Выводы. Для повышения индекса производительности труда необходимо внедрение технологий бережливого строительства и информационного моделирования в строительство на все этапы жизненного цикла производства, что позволит изменить саму философию строительной отрасли. Statement of the problem. It is essential to consider the state of the economy in the country and in the world as a whole in different sectors based on productivity indicators at different times. A comparative analysis must be performed of the use of innovative technologies Lean Construction and Building Information Modeling in construction in order to increase the productivity index. Results. After considering the economic situation, it was concluded that it was necessary to increase the productivity index in construction. During the comparative analysis, the algorithm and formulas of factors of influence of lean construction technologies and information modeling on increase of labor productivity in the construction industry were developed. Conclusions In order to increase the productivity index, it is necessary to introduce lean construction technologies and information modeling into construction at all stages of the production life cycle, which will change the very philosophy of the construction industry.
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Liu, Li Ping. "An Empirical Analysis of the Function of STP to the Economic Growth in Construction Industry Based on TFP Theory - A Case Study of Anhui Province." Advanced Materials Research 243-249 (May 2011): 6418–24. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.6418.
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In this paper the contribution of scientific and technological progress (STP) in economic growth in Anhui province’s construction industry from year 1999 to year 2009 was analyzed by total factor productivity (TFP) method, and the role of TFP in the transformation of economic growth pattern in Anhui province’s construction industry and in corporations’ efforts to enhance industrial competitiveness was analyzed. It found that the key influencing factors in Anhui province’s construction industry’s economic development were capital input and labor input which its growth was driven by resource elements aggregation and its TFP played a poor role. To enhance TFP will be the only way to constructing industry’s sustainable development and to effectively increasing construction industry companies’ core industrial competitiveness.
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Pornthepkasemsant, Patraporn, and Santi Charoenpornpattana. "Identification of factors affecting productivity in Thailand’s construction industry and proposed maturity model for improvement of the productivity." Journal of Engineering, Design and Technology 17, no. 5 (August 10, 2019): 849–61. http://dx.doi.org/10.1108/jedt-10-2017-0109.
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Purpose Low productivity is one of the main challenges facing the Thai construction industry. The purpose of this study is to identify factors affecting the productivity of Thailand’s construction industry and to develop a maturity model for improvement of the productivity. Design/methodology/approach Data were collected quantitatively through questionnaire surveys targeting different Thai construction companies to identify factors affecting the productivity in the Thai construction industry. Based on the identified factors and opinions of experts, a maturity model was then developed and validated. Findings The top five factors affecting the productivity are labor skills, material management, equipment management, site management and safety. A maturity model for the productivity improvement has been developed, and its performance is satisfactory. Research limitations/implications The productivity maturity model is based on data collected in Thailand, and the model is valid only in Thailand or other countries which have similar social and economic circumstance. Practical implications Construction companies may use the proposed maturity model as a framework for improving their productivity. Originality/value Unlike other studies, which usually rely on an issue-based approach, this study uses a systematic company-wide approach to improve the productivity.
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Jarkas, Abdulaziz M. "Factors influencing labour productivity in Bahrain's construction industry." International Journal of Construction Management 15, no. 1 (January 2, 2015): 94–108. http://dx.doi.org/10.1080/15623599.2015.1012143.
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Gi Back, Myung, Jong Hun Woo, Philippe Lee, and Jong Gye Shin. "Productivity Improvement Strategies Using Simulation in Offshore Plant Construction." Journal of Ship Production and Design 33, no. 02 (May 1, 2017): 144–55. http://dx.doi.org/10.5957/jspd.2017.33.2.144.
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Since the global financial crisis of 2008, the global shipbuilding industry has changed considerably and placed major Korean shipbuilding companies (mostly common carrier builders) in a precarious position. Current competitiveness in the global shipbuilding industry has been attracted by low labor costs in China. The Korean shipbuilding industry, with heavy industry as the central figure, is attempting to increase its share of offshore plant construction to develop deep-sea resources. This highlights the most outdated part of offshore plant in Korea, the development technology, which includes front-end engineering development and deep-water floaters, unlike in more advanced companies in the United States, where development technology has advanced rapidly. This has prompted the Korean government to invest most of its R&D funds in the areas of product and equipment development. However, mega shipbuilders such as Samsung, Hyundai, and Daewoo have incurred considerable losses at construction stages because of major delays in production. By contrast, international engineering companies have supported development engineering. The considerable financial losses incurred by mega shipbuilders are believed to be caused by a lack of quality management with respect to the massive production quantities and complexities involved in outfitting topside structures. This study investigates a strategy to advance production management specialized for the offshore plant business and describes a robust and sustainable technical roadmap based on current information technologies (IT) and simulation-based management methods
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Ismail, Fadillah, Intan Sazrina Saimy, Rosman Md. Yusoff, Anis Yusal Yusoff, Chan Shiau Wei, and Umi Kartini Rashid. "Competency Model of Indonesian Construction Laborers in Malaysia." International Journal of Engineering & Technology 7, no. 2.29 (May 22, 2018): 1053. http://dx.doi.org/10.14419/ijet.v7i2.29.14309.
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Quality of human resources is a significant factor to improve high productivity performance of an organization or industry. The quality of human resources can be indicated through competence, skills, ability and other specific characteristics of employee to build a teamwork within organization. Competency-Based on training emphasizes what an employee can do more than how much they know. Hence, through a mixed research method using explanatory approach, this study aims to build a model of Indonesian labor competency based on the competence of 300 Indonesian construction laborers in Malaysia. This model emphasizes four criteria of competency which are communication, skills, interpersonal, and attitude. The finding showed that Indonesian labor force is competent in communication, interpersonal, and attitude. However, Indonesian labor force is seen to be incompetent in criterion skills and still needs training to improve their skills to be in line with the industry needs
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Tran, Van Dai, and John E. Tookey. "Labour Productivity in the New Zealand Construction Industry: A Thorough Investigation." Construction Economics and Building 11, no. 1 (March 31, 2011): 41–60. http://dx.doi.org/10.5130/ajceb.v11i1.1841.
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Productivity growth is strongly correlated to economic growth and increases in welfare. This fact also holds true at the industry level and is particularly true in the NZ construction industry, since productivity growth in this sector may have significant effects on the affordability of housing in the country. In recent years construction in NZ has been subjected to a series of reports that have either highlighted ‘failure’ to grow productivity or have exhorted the industry to improve its ‘poor performance’. However thus far little by way of analysis has gone into the productivity figures that have been quoted, nor has much been done to explain and justify if or why these figures are correct or incorrect.This research seeks to deconstruct construction productivity figures in NZ and explain the patterns over recent years of ‘poor performance’ in comparison with other industries. As such it will examine the nature of the NZ construction industry and analyse the historic statistics related to its labour productivity. This will provide an overall understanding of the sector as well as those extraneous factors that may have significant influences on the NZ construction sector.The research found that while factors influencing inputs of labour productivity measure such as labour and material costs remained stable, factors impacting the corresponding outputs such as house and land prices, value of work in Non-residential and Infrastructure construction grew significantly between 1997 and 2007. Given the positive skewing effect of standard economic indicators (inflation etc) on construction labour productivity figures, the relatively poor performance of construction is worrying for the industry. The paper concludes by demonstrating labour productivity in construction is significantly worse performing than previously suspected.
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Tam, Nguyen Van, Nguyen Lien Huong, and Nguyen Bao Ngoc. "Factors affecting labour productivity of construction worker on construction site: A case of Hanoi." Journal of Science and Technology in Civil Engineering (STCE) - NUCE 12, no. 5 (August 30, 2018): 127–38. http://dx.doi.org/10.31814/stce.nuce2018-12(5)-13.
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Labour productivity of Vietnamese economy in general and of Vietnamese construction industry in particular is low in comparison with other countries. Boosting labour productivity is becoming an urgency and is attracting much attention from both domestic and foreign researchers. This paper focuses on a series of factors affecting labour productivity on construction site in Hanoi. The research aims to evaluate and rate the extent of impact of each factor to labour productivity. By referring to the outcomes of this study, Vietnamese construction contractors will be able to come up with workable solutions which will contribute towards a better performance of construction workers. On that basis, the productivity of construction firms and national economy will be improved correspondingly.
Keywords: productivity; labour productivity; factors affecting; construction worker.
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Arulselvan, S., and H. Syed Arshad. "Study on Labour Productivity Management in the Construction Industry." Asian Journal of Research in Social Sciences and Humanities 6, no. 12 (2016): 819. http://dx.doi.org/10.5958/2249-7315.2016.01331.9.
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Reylon Duarte da Cunha, Tacil Thayson, Kaio Telles de Oliveira, Sara Dos Santos Santarém, David Barbosa de Alencar, and Antônio Estanislau Sanches. "The Qualification of Manpower and Its Effects on Productivity of Civil Construction in Manaus - Amazonas." International Journal for Innovation Education and Research 7, no. 10 (October 31, 2019): 415–26. http://dx.doi.org/10.31686/ijier.vol7.iss10.1789.
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Construction has been growing in recent years in Brazil and the state of Amazonas was no different, however, there are major difficulties in the industry when it comes to skilled labor in this segment, so the overall goal is to analyze the qualification of labor. and its effects on productivity in the city of Manaus. And as specific objectives: to highlight the civil construction in Brazil and Amazonas; show the effects of unskilled labor on construction productivity; To verify the qualification of the workforce in the city of Manaus, Methodology, the work was performed first with bibliographic basis and in the second moment a field research was carried out. Obtained as results, the study showed that skilled labor is a problem to be faced by construction companies in Manaus, because it was realized that some professionals accept the proposal to qualify, but some do not, given the positions, It is clear that the sector needs to charge more for a qualified workforce, as well as the company MRV, which is committed to motivating its workers to seek specialization in this segment.
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PonmalarV, Aravindraj V, and Nandhini K. "STUDY ON FACTORS INFLUENCING LABOUR PRODUCTIVITY IN RESIDENTIAL BUILDINGS IN INDIAN SCENARIO." International Journal of Engineering Technologies and Management Research 5, no. 2 (February 10, 2020): 239–48. http://dx.doi.org/10.29121/ijetmr.v5.i2.2018.168.
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The construction sector is diverse as it contains contractors, consultants, designers, owners and others. Poor productivity of construction workers is one of the causes of cost and time overruns in construction projects. As construction is a labour-intensive industry, this paper focuses on labour productivity in the construction industry and to identify factors affecting labour productivity at building construction project. The performance of labour is affected by many factors and is usually linked to the performance of time, cost, work pressure, safety measures and quality. The questionnaires were distributed to supervisors, project Engineer, labourers, the top 35 factors were identified, categorized into 3 different groups, using SPSS tool, which is analytical software, the factors were analyzed and ranked considering relative importance index were calculated. And also calculated actual productivity for Brick Masonry is taken from sites. The result shows the factors considered which most affects the labour productivity loss in residential buildings and actual productivity versus expected productivity the brick masonry work were calculated.
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Aureliano, Filipe dos Santos, Ariellen Aparecida Fidelis Costa, Ivan Franklin Júnior, Alessandro Ferreira Alves, Roger A. Rodrigues, Rodrigo Franklin Frogeri, and Pedro dos Santos Portugal Júnior. "Application of lean manufacturing in construction management." International Journal for Innovation Education and Research 7, no. 12 (December 31, 2019): 536–44. http://dx.doi.org/10.31686/ijier.vol7.iss12.2105.
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The construction industry in recent decades has been facing internal and external pressures, such as financial crisis, industry competitiveness and increased importance of quality required by the client. Because it is a sector, which has a low level of productivity, and high levels of waste, both with materials such as with labor, it is necessary to search for new management practices and production control. The development of a productive environment which aims to reduce waste, costs and deadlines, meeting customer needs and increasing efficiency and productivity in construction sites, made the application of the concepts of Lean Manufacturing in Civil works broke old paradigms in this area. In this way, this work has as objective the study of the implementation of Lean Manufacturing and its effect on the construction management, through the development of case studies on construction sites, where these concepts were applied and the results obtained are exposed in this work.
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Subramani, T., and A. Prabhu. "Material Procurement in Construction Industry Problems and Solutions." International Journal of Engineering & Technology 7, no. 3.10 (July 15, 2018): 31. http://dx.doi.org/10.14419/ijet.v7i3.10.15624.
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Good project management in construction means efficient utilization of labor, material and equipment. Development of labor productivity have to be a first-rate and chronic challenge of those who are accountable for cost control of constructed facilities. Material handling, which includes procurement, inventory, shop fabrication and field servicing, requires special attention for cost reduction. The use of latest equipment and progressive strategies has made feasible wholesale adjustments in construction technology in current a long time. Groups which do no longer recognize the effect of diverse innovations and feature now not adapted to changing environments have justifiably been compelled out of the mainstream of construction activities. The frequent problems of construction industry, customers have an essential position to play. With the aid of its procurement methods, the purchaser impacts the manner a construction project is done, because the tactics affect the form of the project delivery system. What sort of procurement procedures are perceived rational, for one, depends at the underlying assumptions about the characteristic of procurement. A recognized guideline in Lean construction (LC) is that production must be conceived along with transformations (T), flow (F), and value generation (V). Alternatively, it is visible necessary to recognize and cope with the risk of value loss with an identical diligence as the other issues had been to date. Materials management plays an important role in project planning and control. Materials represent a major expense in construction, so minimizing procurement or purchase costs.
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Radhakrishnan, S., and K. G. Selvan. "ENHANCING LABOUR PRODUCTIVITY IN MULTI STOREY BUILDING CONSTRUCTION." International Journal of Engineering Technologies and Management Research 4, no. 12 (February 7, 2020): 65–73. http://dx.doi.org/10.29121/ijetmr.v4.i12.2017.136.
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The Construction Industry, which was badly hit by the demonetisation, is getting back to normalcy with construction activities coming up in full swing. Chennai City and its outskirts are buzzed with building work from small apartments to tall towers. Next to agriculture, construction industry is the source of employment for a large number of people, mostly uneducated. The piquant situation is that in some parts of the state the activities have come to a “slow going” due to paucity of river sand and whereas in the City and its outskirts, the work is going on uninterrupted. While the small builders are worst hit by the non-availability of river sand, the big builders manage the activities. The reason is that they have rate contract with two to three large suppliers for sand. Moreover, they are also using M Sand in the construction activities.
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Zhang, Lan, Xinhui Hao, Yuhua Zhang, and Yonggeng Wang. "Research on the Industrial Economic Development Driving by Scientific and Technological Service System Innovation." E3S Web of Conferences 235 (2021): 02008. http://dx.doi.org/10.1051/e3sconf/202123502008.
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In terms of the mechanism of scientific and technological service promoting innovation and entrepreneurship, innovation can significantly improve labor productivity and labor factor efficiency, and promote the optimization and upgrading of industrial structure. Sustainable economic development must rely on technological innovation. This paper designs an innovative science and technology service system to achieve the goal of industrial economic development from five aspects: market-oriented mechanism, demand-oriented mechanism, industry university research collaborative innovation mechanism, scientific and technological financial system construction, and scientific and technological talent team construction.
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Tsehayae, Abraham Assefa, and Aminah Robinson Fayek. "Context Adaptation of Fuzzy Inference System-Based Construction Labor Productivity Models." Advances in Fuzzy Systems 2018 (May 14, 2018): 1–16. http://dx.doi.org/10.1155/2018/5802918.
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Construction labor productivity (CLP) is one of the most studied areas in the construction research field, and several context-specific predictive models have been developed. However, CLP model development remains a challenge, as the complex impact of multiple subjective and objective influencing variables have to be examined in various project contexts while dealing with limited data availability. On the other hand, lack of a framework for adapting existing or original models from one context to other contexts limits the possibility of reusing existing models. Such challenges are addressed in this paper through the development of a context adaptation framework. The framework is used to transfer the knowledge represented in fuzzy inference (FIS) based CLP models from one context to another, by using linear and nonlinear evolutionary based transformation of the membership functions combined with sensitivity analysis of fuzzy operators and defuzzification methods. Using four context-specific CLP models developed for concreting activity under industrial, warehouse, high-rise, and institutional building project contexts, the framework was implemented, and the prediction capability of the adapted models was evaluated based on their prediction similarity with the original models. The results showed that linearly adapted CLP models for industrial and institutional contexts and nonlinearly adapted CLP models for warehouse and high-rise contexts provide a similar prediction capability with the original models. The proposed context adaptation framework and findings from this paper address the limitations in past context adaptation research by examining a practical context-sensitive application problem and further examining the role of fuzzy operators and defuzzification methods. The findings assist researchers and industry practitioners to take full advantage of existing FIS-based models in the study of new contexts, for which data availability might be limited.
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N., Diego Calvetti. "Multivariate Statistical Analysis Approach to Cluster Construction Workers based on Labor Productivity Performance." U.Porto Journal of Engineering 4, no. 2 (October 31, 2018): 16–33. http://dx.doi.org/10.24840/2183-6493_004.002_0002.
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In the construction industry, the direct workforce is one of the most important drivers of the work process. Identifying and quantifying labor productivity impact factors allows the diagnosis of recurring problems during the construction phase. Understanding how these factors influence the productive and the nonproductive states according to the characteristics of workers or group of workers is an essential tool to boost productivity. This paper introduces a multivariate statistical analysis approach to cluster workers based on the characteristics of the actions that are performed during the daily construction tasks. This study analyzed the data from a field experiment based on human observation of actions of 10 welders during a week in a pipe-shop. The case study conducted step by step presented in this work indicates retention of 50% and 40% of the total sample in segmented workers clusters.
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Mohd Najib, Iskandar Zulkarnain, Rumaizah Mohd Nordin, Ezlina Mohd Ahnuar, and Khalida Mohd Sukor. "Malaysian as the Component of Labour Force for Construction Industry in Malaysia." MATEC Web of Conferences 266 (2019): 01007. http://dx.doi.org/10.1051/matecconf/201926601007.
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The construction sector plays a significant role in the economy in order to achieve the inspiration to be a developed nation in 2020. In the effort to increase the efficiency of the sector, Construction Industry Development Board (CIDB) had pledged to continue investing in human capital development in the construction industry as one of its initiatives under Productivity Thrust in Construction Industry Transformation Programme (CITP). However, currently, the construction industry of Malaysia is depressed by the low-wage and low productivity trap due to substantial reliance on low-skilled foreign workers. The number of local workers are not only low but are decreasing drastically due to out-migration towards better job opportunities in other sectors. Therefore, this research aims to establish a conceptual framework for Malaysians as the component of the labour force in the construction industry in Malaysia through identifying the landscape of participation of local labour, investigating factors hindering participation of local labour and propose initiatives to increase the numbers of participation of local labour. This paper presents a review of literature from journals, conference proceedings, and books. Based on the review, a framework consisting of four (4) components (i.e., Government Agenda, Local Labour in Malaysian Construction Industry, strategies to improve participation, and expected key outcomes of CITP for Productivity) is proposed. These findings will assist the extended investigation in the identification of ways to improve the participation of local labour for the Construction Industry in Malaysia.
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Usukhbayar, Rentsendorj, and Jongsoo Choi. "Determining the Impact of Key Climatic Factors on Labor Productivity in the Mongolian Construction Industry." Journal of Asian Architecture and Building Engineering 17, no. 1 (January 2018): 55–62. http://dx.doi.org/10.3130/jaabe.17.55.
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Kazaz, Aynur, and Turgut Acıkara. "Comparison of Labor Productivity Perspectives of Project Managers and Craft Workers in Turkish Construction Industry." Procedia Computer Science 64 (2015): 491–96. http://dx.doi.org/10.1016/j.procs.2015.08.548.
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Bhatti, Imtiaz Ali, Abd Halid Abdullah, Sasitharan Nagapan, Nabi Bux Bhatti, Muhammad Tahir Lakhiar, and Muntazir Mahdi Mahar. "Building Construction Labour Productivity in Arid Climate Environment." Journal of Applied Engineering Sciences 9, no. 2 (December 1, 2019): 125–30. http://dx.doi.org/10.2478/jaes-2019-0017.
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Abstract Productivity is a significant aspect of construction industry that plays vital role for success and failure of any construction project. This industry generates 11% to 13% of GDP all around the globe and the cost of labour in any building project is 20% to 35% of the cost of Building. On daily basis labour utilizes 30% of time on productive activities rest 70% of the time is ruined in non-productive activities, there are multi factors which are affecting the labour production in construction industry hence this study provides an overview of productivity, Total Factor productivity, method used to measure accurate productivity in construction projects. The objective of this study is find out percentage up to what extent labour production is affected due to weather conditions, however this study is carried out in arid climate region in Month of June 2018, where minimum temperature was recorded 26.0 Celsius degree at 7:30 AM and Maximum was 47.80 Celsius degree at 3:00 PM. A descriptive survey research design approach was adopted using continuous observation method of study. Project work study manual served as the research instrument to collect the data on selected building sites for 30 working days. Data collected were analyzed using descriptive statics. The results show that average monthly production of mason gang was recorded with less production of 28.759%, Carpentry gang with average monthly loss of production 16.74% & steel fixer gang had average monthly loss of production was 12.188. This concludes that prior to signing the contract for construction project. The location, environment, topography of region, capacity of construction operatives must be kept in mind to decide the proper timeline for the successful of project.
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Andreeva, E. A. "Analysis of the labour productivity dynamicsin construction industry in Russia." Вестник гражданских инженеров 14, no. 4 (2017): 243–50. http://dx.doi.org/10.23968/1999-5571-2017-14-4-243-250.
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Fulford, Richard Glenn. "The implications of the construction industry to national wealth." Engineering, Construction and Architectural Management 26, no. 5 (June 17, 2019): 779–93. http://dx.doi.org/10.1108/ecam-03-2018-0091.
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Purpose The purpose of this paper is to explore how construction projects should be conceived and how the productivity of the construction industry impacts upon a nation’s wealth. Design/methodology/approach The approach has been to marshal the extant literature about the construction industry, construction industry productivity and the economic value of the built environment. Whilst there are many lenses that are used to understand the industry, different ways to measure productivity performance and differing practices between nations, it has been determined that construction industry productivity improvement significantly lags behind other industries. Findings There is a strong argument that construction productivity improvement correlates to advances in a nation’s economy. Nonetheless, it is the decisions about the nature of infrastructure, the standardisation of infrastructure and the effect upon labour productivity that will have the greatest implications for a nation’s economic future. These economic improvements will be inhibited by legacy infrastructure, particularly in densely populated areas. If substantial innovation occurs, the nations currently holding the highest stock of infrastructure might be economically constrained. Research limitations/implications The construction industry is highly fragmented and has the uncertainties of a cyclic industry. It is, therefore, necessary for governments to identify standards and facilitate innovation. The implications for short- and long-term economic performance require that the industry is a fundamental at the highest level of government. Originality/value Scholars can use the propositions to further analyse construction productivity improvement and the provision of different types of infrastructure with regard to a nation’s economic performance. Hypotheses are offered to support future research.
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Ghoddousi and, Parviz, Behzad T. Alizadeh, M. Reza Hosseini, and Nicholas Chileshe. "Implementing the international benchmarking labour productivity theoretical model." Benchmarking: An International Journal 21, no. 6 (September 30, 2014): 1041–61. http://dx.doi.org/10.1108/bij-04-2012-0029.
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Purpose – Building upon the results of a critical review of previous studies, the purpose of this paper is to present a framework to enhance the reliability of the theoretical model for international benchmarking of labour productivity (TMIBLP) method for construction project activities. The next part of the paper presents the results of implementing the proposed framework for construction activities in the Iranian construction industry. Design/methodology/approach – This paper draws upon a critical review of the literature to highlight the drawbacks of the previous studies concerning implementing TMIBLP within the construction industry. Identifying these shortcomings, the authors propose a framework for construction projects, which presents the procedure for deploying TMIBLP for construction activities in a reliable manner. The final section of the paper demonstrates the empirical implementation of the proposed framework within the Iranian construction industry. Findings – The primary contributions of the paper include: identifying the drawbacks of previous studies within the construction context, the framework that would lead construction managers towards more reliable implementation of benchmarking for construction projects, and determining the baseline of erecting steel structures in a developing country. Practical implications – A practical implementation of the TMIBLP method was presented to address the lack of research in Iran and to show the feasibility of using the framework developed. The authors investigated the daily labour productivity for the activity of structural steel erection for six projects in Tehran in order to determine the values of the baseline productivity for each project. Accordingly, the disruption index, performance ratio and project management index as the project benchmarks were calculated for all six projects. Originality/value – Underlining the necessity of implementing methods such as TMIBLP, this study outlines the outcomes of the first study on the benchmarking of construction activities deploying the proposed framework and using the data on erecting steel structures from six construction projects in Iran. The discussions provide guidelines for construction project managers regarding benchmarking labour productivity. The paper concludes with suggestions for future research opportunities.
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Voskresenskaya, Elena, Lybov Vorona-Slivinskaya, and Lybov Achba. "Strategic priorities for development of housing construction and renovation sector." E3S Web of Conferences 91 (2019): 05010. http://dx.doi.org/10.1051/e3sconf/20199105010.
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The article highlights the problem of sustainable development of the living environment and living standards of the population, which is rather relevant for the governments of most developed countries including Russia. In recent years, the anthropogenic impact of aggressive external medium on the quality of human life increases, which reduces the working capacity of citizens and consequently lowers their labor productivity. The implementation of «Concept for the Transition of the Russian Federation to Sustainable Development», which was elaborated and adopted in 1996, implies a gradual transition to the balanced solution of pressing social and economic issues and problems that concern preserving natural resources in order to meet the needs of present and future generations. The authors emphasized the need for a scientific-theoretical and methodological substantiation of preparing the strategic priorities of the housing development planning with a focus on creating competitive residential housing and renovation projects. The authors note that the greening of housing construction and renovation industry helps to ensure high living standards and contributes not only to improving human well-being and increasing person’s lifetime but also enhances his or her working capacity and labor productivity. The elaboration of strategic priorities of the housing industry development involves the consideration of current challenges of the national economy.