scholarly journals Analysis of influential factors affecting workers’ productivity on highway construction projects during Covid-19 pandemic in Cagayan Valley Region, Philippines

2021 ◽  
Author(s):  
Emer Tucay Quezon ◽  
Arthur G. Ibanez

In highway construction projects, labor-oriented work is an integral part of the management process, requiring analysis of factors affecting labor productivity during Covid-19 pandemic. This research identified 53 influential factors affecting construction labor productivity at selected cities and towns in Cagayan Valley Region, Philippines. Due to the pandemic, the construction industries incurred substantial profit losses. More so, the construction workers are too much affected because of the Enhance Community Quarantine (ECQ) imposed by the local government. Results indicated there was laxity on the Covid-19 protocols. No health worker in the project site ranked the highest in the health & safety factor group with an RII of 0.97 and ranked 1st among 53 factors on the different groups. Besides, no safety engineer was assigned to the projects and ranked 2nd with an RII of 0.93. Among the 7 groups of factors, the health and safety group ranked 1st with 0.81, followed by the schedule compression group with an RII of 0.78. Hence, these two groups of factors have a strong relationship, as evidenced by number of workers reduced. It was learned that the contractors’ strategy was to increase the number of working days to cope with their schedules. Hypothesis testing supported that there are various significant factors influencing labor productivity loss during the Covid-19 pandemic, as suggested by more than 50% of the respondents.

2021 ◽  
Vol 6 (2) ◽  
pp. 074-089
Author(s):  
Emer Tucay Quezon ◽  
Arthur G. Ibanez

In highway construction projects, labor-oriented work is an integral part of the management process, requiring analysis of factors affecting labor productivity during Covid-19 pandemic. This research identified 53 influential factors affecting construction labor productivity at selected cities and towns in Cagayan Valley Region, Philippines. Due to the pandemic, the construction industries incurred substantial profit losses. More so, the construction workers are too much affected because of the Enhance Community Quarantine (ECQ) imposed by the local government. Results indicated there was laxity on the Covid-19 protocols. No health worker in the project site ranked the highest in the health & safety factor group with an RII of 0.97 and ranked 1st among 53 factors on the different groups. Besides, no safety engineer was assigned to the projects and ranked 2nd with an RII of 0.93. Among the 7 groups of factors, the health and safety group ranked 1st with 0.81, followed by the schedule compression group with an RII of 0.78. Hence, these two groups of factors have a strong relationship, as evidenced by number of workers reduced. It was learned that the contractors’ strategy was to increase the number of working days to cope with their schedules. Hypothesis testing supported that there are various significant factors influencing labor productivity loss during the Covid-19 pandemic, as suggested by more than 50% of the respondents.


2021 ◽  
Author(s):  
Emer Tucay Quezon ◽  
Arthur G. Ibanez

In highway construction projects, labor-oriented work is an integral part of the management process, requiring analysis of factors affecting labor productivity during the Covid-19 pandemic. This research identified 53 influential factors affecting construction labor productivity at selected cities and towns in Cagayan Valley Region, Philippines. Due to the pandemic, the construction industries incurred substantial profit losses. More so, the construction workers are too much affected because of the Enhance Community Quarantine (ECQ) imposed by the local government. Results indicated there was laxity on the Covid-19 protocols. No health worker in the project site ranked the highest in the health & safety factor group with an RII of 0.97 and ranked 1st among 53 factors on the different groups. Besides, no safety engineer was assigned to the projects and ranked 2nd with an RII of 0.93. Among the 7 groups of factors, the health and safety group ranked 1st with 0.81, followed by the schedule compression group with an RII of 0.78. Hence, these two groups of factors have a strong relationship, as evidenced by the number of workers reduced. It was learned that the contractors’ strategy was to increase the number of working days to cope with their schedules. Hypothesis testing supported that there are various significant factors influencing labor productivity loss during the Covid-19 pandemic, as suggested by more than 50% of the respondents.


Author(s):  
Zain Ghazi Al-Kofahi ◽  
Amirsaman Mahdavian ◽  
Amr Oloufa

It is vital to investigate the system dynamics (SD) between the change orders and labor productivity to identify the causes of the productivity loss of the construction projects. Most productivity loss studies were financed from the contractor’s part and rely on the contractor’s data. This research highlighted the problem of productivity loss resulting from issuance of a change order by utilizing a previously developed SD model. It conducted a sensitivity analysis to evaluate the impact of overtime, overmanning, temperature and learning on the behavior of the SD model quantifying change orders' impact on labor productivity. Based on the results, SD provides more reliable results comparing with the measured mile analysis (MMA) approach for the compensation request, considering the leading factors affecting the productivity loss other than the change order. The model developed in this study can accept or reject the responsibility of a change order for occurrence of productivity loss.


2021 ◽  
Author(s):  
Emer Tucay Quezon

This research aims to identify and analyze the various factors affecting construction labor productivity covering the period from December 9, 2020 - January 31, 2021, a year after it was declared Covid-19 a pandemic. Due to the pandemic effect, the local government units in four selected study areas imposed intermittent Enhance Community Quarantine on all places to control the Coronavirus spread in compliance with the health department protocol. Fifty-five questionnaires returned out of 63 distributed are tabulated according to each group-related factor. The correlation analysis resulted in the highest coefficient value of 0.89 between the CTDEO and contractor groups. Meaning, most respondents have the same perception of the factors affecting construction's low labor productivity. Besides, results depicted that the absence of health workers on the construction site ranked 1st in the health & safety provision factor group with an RII of 0.97, followed by no safety engineers on the construction project sites with an RII of 0.93. From all the seven groups of factors, the health and safety group-related factors ranked 1st with an RII of 0.81, next, the schedule compression group with an RII of 0.78. Hypothesis testing asserted that working six days per week was one of the significant factors affecting labor productivity on the contractor's side, suggested by more than 50% of the respondents. The workforce group-related factors with an RII of 0.77 demonstrated a slight difference with the schedule compression group-related factors. Thus, the Covid-19 pandemic has a significant effect on the essential factors affecting construction's low labor productivity.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benviolent Chigara ◽  
Tirivavi Moyo

Purpose The purpose of this study was to investigate the perceptions of construction professionals relative to factors that affect the delivery of optimum health and safety (H&S) on construction projects during the COVID-19 pandemic. Design/methodology/approach The study adopted a quantitative design which entailed the distribution of a web-based questionnaire among construction professionals, namely, architects, construction/project managers, engineers, H&S managers and quantity surveyors working for contractors and construction consultants in Zimbabwe. The data were analysed with descriptive and inferential statistics. Factor analysis was used to reveal interrelated significant sets of factors affecting the delivery of optimum H&S. Findings Factor analysis revealed nine components/factors: change and innovation-related, monitoring and enforcement-related, production-related, access to information and health service-related, on-site facilities and welfare-related, risk assessment and mitigation-related, job security and funding-related, cost-related and COVID-19 risk perception-related factors as the significant factors affecting the delivery of optimum H&S during the COVID-19 pandemic in Zimbabwe. Research limitations/implications The results highlighted the need for social dialogue among construction stakeholders to support initiatives that will enhance the delivery of H&S on construction projects. Construction stakeholders may find the results useful in highlighting the areas that need improvement to protect workers’ H&S during the pandemic. However, the small sample limits the generalisability of the results to construction sectors in other regions. Originality/value The study investigated factors affecting the delivery of optimum H&S during the COVID-19 to inform interventions to enhance H&S.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benti Gadisa ◽  
Hong Zhou

PurposeIt is well recognized that the construction industry is characterised by inefficient and ineffective service delivery due to various causative factors. Thus this study aims to examine the influential factors affecting public construction project performance in Ethiopia to improve the industry's service delivery.Design/methodology/approachFrom the extensive literature reviewed, 58 potential factors affecting construction project performance have been compiled. Based on the evidence accumulated, the conceptual model of this paper has been developed. By using survey questionnaires, valuable data were collected from the construction industry professionals in Ethiopia; analysed and interpreted with the use of both SPSS and AMOS software.FindingsIt is concluded that failure factors related to the “performance” of the contractor, the “capability” of the owner, the “project design-procurement process,” and project contract management can significantly contribute to the poor performance of public construction projects in Ethiopia. Ten key factors include inadequate contractor capacity, weak project site management and supervision, weak project management skills and capabilities of the owner, additional work orders, delayed payment, lack of comprehensive project plans between parties and incomplete project design, rising material prices, ineffective project schedules, and cost management, rising market prices and devaluation of the currency.Research limitations/implicationsThe scope of this study confined to public projects in Ethiopia. It suggests that further research needs to consider public and private construction from a comprehensive perspective in the developing countries.Practical implicationsIt provides practitioners with information and guidance on the factors that affect the performance of construction projects.Originality/valueIt provides inclusive evidence related to many factors that affect the performance of public construction projects.


2021 ◽  
Author(s):  
H.L.P.U. Karunathilaka ◽  
◽  
K.A.K. Devapriya ◽  
V.G. Shanika ◽  
◽  
...  

Expressway construction projects are one of the crucial infrastructure projects for a country. Hence, assessment of environmental and social implications prior to initiation of the expressway construction project is vital. Thus, the research aims to analyse effect of social and environmental factors on expressway construction in Sri Lanka. Initially a comprehensive literature review was done to discuss on expressway construction in Sri Lanka and environmental and social implications of expressway construction in global context. The study followed a qualitative approach. Hence, four expert interviews were carried out to explore more on the same context limiting to Sri Lanka. Experts were selected from only on-going expressway project in Sri Lanka, central expressway project. Moreover, collected data were analysed through manual content analysis. The study findings highlighted viaduct construction, land acquisition and rock blasting as the major activities relating to environmental implications of the expressway construction projects. Thus, rational, logical, scientific, and technical selection of the routes is the most effective and efficient mean in minimizing adverse impacts. Hence planning of these activities should be done with due care by authorities only after proper feasibility studies. Further, major factors affecting social implications of the expressway construction have been identified as settlement, livelihood, public infrastructure and health and safety. Hence, resettlement action plans need to be updated to comply with the identified requirements through environmental and social factors.


2020 ◽  
Vol 1 (1) ◽  
pp. 32
Author(s):  
Alva Yuventus Lukas ◽  
Jusuf Wilson Meynerd Rafael

The purpose of this study is to determine the resource management factors that affect labor productivity as well as the dominant factors, with research sites on construction projects in eastern Indonesia, particularly in East Nusa Tenggara. This research is aimed at construction workers, such as masons, chief craftsmen, foremen, and workers. This study uses a survey method. Primary data were collected through a questionnaire, then formulated and processed. Data processing in the form of respondents' opinions and attitudes towards problems that exist in construction projects related to productivity, data analysis techniques use factor analysis methods and multiple linear regression analysis with the SPSS statistical program. Results of processing and discussion of data, it is found that : (A) Human Resource Management Factors that affect Labor Productivity in several construction projects in East Nusa Tenggara are About Age, X1, about Work Experience, X2, Level of Education, X3,  about Wages, X4, Total Family Count, X5, Working Health and Safety, X6, Relationship Workers, X7, about Managerial, X8, and about Influential Motivations, X9, together form the equation Y = 12,776 – 0,217.X1 + 0,151.X2 – 0,087.X3 - 0,074.X4 - 0,263.X5 - 0,468X6 - 0,058.X7 + 0,129.X8 + 0,384.X9 .    (B)  The dominant factors affecting respectively are the Occupational Health & Safety of Workers, X6, Subject to the Number of Dependents in the Family, X5, and Subjects of Motivation, X9.


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