Current Status and Future Research Trends of Construction Labor Productivity Monitoring: A Bibliometric Review
Abstract
:1. Introduction
2. Bibliometric Procedure
3. Results and Discussions
3.1. Annual Publication Trends
3.2. Most Productive Journals
3.3. Most Prolific Authors
3.4. Leading Countries, Institutions, and International Collaboration
3.5. Author Keywords
3.5.1. Key Concepts of Productivity and Labor Productivity in the Construction Industry
3.5.2. CLP Influencing Factors and Improvement Approaches
3.5.3. Innovations and Technologies for CLP Data Collection
3.5.4. CLP Prediction Models
3.6. Implications in Theory and Practice
- Knowledge Transfer and Collaboration: The study identifies publication trends, productive journals, authors, nations, and collaboration patterns, fostering future research collaboration and knowledge exchange in CLP monitoring. Practitioners and researchers can also actively seek opportunities for collaboration to leverage diverse perspectives and foster innovation in CLP monitoring.
- Advancing Knowledge: The study contributes to CLP monitoring by providing a comprehensive overview of key concepts and research topics. The analysis of author keywords reveals interrelationships between different CLP monitoring topics, guiding further exploration.
- Improved Productivity Measurement: The study emphasizes the need for consistent definitions and reliable measurement approaches for construction productivity. Standardized metrics enable benchmarking, performance evaluation, and identification of improvement opportunities.
- Identification of Significant Influencing Factors: The analysis highlights significant technological and non-technological factors impacting CLP, including occupational health and safety, change orders, lean construction, BIM, prefabrication, and labor tracking technologies. However, the study also reveals limitations in the scope of factors and contexts examined. Future research should address the existing research gaps and provide a more comprehensive understanding of CLP improvement strategies.
- Integrated Approaches: The study underscores the significance of integrating safety practices, lean construction principles, and innovative technologies in CLP monitoring. This integrated approach ensures a safer and more productive work environment, optimizing workflow efficiency and reducing waste.
- Leveraging Innovations and Technologies for CLP Monitoring: The study recognizes the significance of innovations such as BIM and labor tracking technologies in revolutionizing labor productivity monitoring and management. Practical guidance is provided to industry professionals, considering implementation challenges and ethical considerations.
- Decision Support Systems: The study highlights the potential of advanced modeling techniques, such as machine learning and artificial neural networks, for CLP prediction and monitoring. These tools support data-driven decision making on labor allocation, resource optimization, and productivity improvement initiatives.
- Considering these implications, researchers, practitioners, and policy makers can drive advancements in CLP monitoring practices and contribute to overall productivity improvement in the construction industry.
3.7. Limitations of Study
4. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
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Remarks | Search String |
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Initial search | TITLE-ABS-KEY ((“labor” OR “labour” OR “worker” OR “workforce” OR “personnel”) AND (“track *” OR “monitor *” OR “sampl *” OR “measur *”) AND (“construction”) AND (“productivity”)) AND (LIMIT-TO (DOCTYPE, “ar”)) AND (LIMIT-TO (SRCTYPE, “j”)) AND (EXCLUDE (PUBYEAR, 2023)) |
Excluding irrelevant topic | TITLE-ABS-KEY ((“labor” OR “labour” OR “worker” OR “workforce” OR “personnel”) AND (“track *” OR “monitor *” OR “sampl *” OR “measur *”) AND (“construction”) AND (“productivity”) AND NOT (“agricultur *” OR “machinery” OR “plant” OR “equipment” OR “material”)) AND (LIMIT-TO (SRCTYPE, “j”)) AND (LIMIT-TO (DOCTYPE, “ar”)) AND (EXCLUDE (PUBYEAR, 2023)) |
Searching for potential review articles | TITLE-ABS-KEY ((“labor” OR “labour” OR “worker” OR “workforce” OR “personnel”) AND (“track *” OR “monitor *” OR “sampl *” OR “measur *”) AND (“construction”) AND (“productivity”) AND NOT (“agricultur *” OR “machinery” OR “plant” OR “equipment” OR “material”)) AND TITLE (“recent” OR “progress” OR “review” OR “critical” OR “revisit” OR “advance” OR “development” OR “highlight” OR “perspective” OR “prospect” OR “trends” OR “bibliometric” OR “scientometric”) AND (LIMIT-TO (SRCTYPE, “j”)) AND (LIMIT-TO (DOCTYPE, “ar”)) AND (EXCLUDE (PUBYEAR, 2023)) |
Excluding review articles | TITLE-ABS-KEY ((“labor” OR “labour” OR “worker” OR “workforce” OR “personnel”) AND (“track *” OR “monitor *” OR “sampl *” OR “measur *”) AND (“construction”) AND (“productivity”) AND NOT (“agricultur *” OR “machinery” OR “plant” OR “equipment” OR “material”)) AND NOT EID ((2-s2.0-85128281106) OR (2-s2.0-85116466013) OR (2-s2.0-85010792408) OR (2-s2.0-85028324010) OR (2-s2.0-84910049421) OR (2-s2.0-84906081175)) AND (LIMIT-TO (SRCTYPE, “j”)) AND (LIMIT-TO (DOCTYPE, “ar”)) AND (EXCLUDE (PUBYEAR, 2023)) |
Rank | Journal | Total Number of Publications | Cite Score 2021 | Subject Area and Category | Quartile | Most Cited Article Title | Times Cited | Publisher |
---|---|---|---|---|---|---|---|---|
1 | Journal of Construction Engineering and Management | 50 | 6.3 | Engineering-Building and Construction | Q1 | Factors affecting construction labor productivity in Kuwait [12] | 240 | ASCE |
2 | Engineering, Construction and Architectural Management | 19 | 5.2 | Engineering-Building and Construction | Q1 | Profiling causative factors leading to construction project delays in the United Arab Emirates [50] | 80 | Emerald |
3 | Automation in Construction | 18 | 15 | Engineering-Building and Construction | Q1 | Location tracking and data visualization technology to advance construction ironworkers’ education and training in safety and productivity [51] | 174 | Elsevier |
4 | Construction Management and Economics | 18 | 6 | Engineering-Building and Construction | Q1 | Total factor productivity growth accounting in the construction industry of Singapore [52] | 59 | Taylor and Francis |
5 | Canadian Journal of Civil Engineering | 14 | 2.3 | Engineering-Civil and Structural Engineering | Q3 | Impact of change orders on construction productivity [53] | 49 | Canadian Science Publishing |
6 | International Journal of Construction Management | 12 | 6 | Engineering-Building and Construction | Q2 | Factors influencing labour productivity in Bahrain’s construction industry [29] | 65 | Taylor and Francis |
7 | Buildings | 11 | 3.8 | Engineering-Building and Construction | Q2 | Worker 4.0: The future of sensored construction sites [24] | 29 | MDPI |
8 | Journal of Management in Engineering | 11 | 9.1 | Engineering-Building and Construction | Q1 | Work flow variation and labor productivity: Case study [19] | 93 | ASCE |
9 | Journal of Computing in Civil Engineering | 7 | 10.2 | Computer Science-Computer Science Applications | Q1 | Towards a Mixed Reality System for Construction Trade Training [54] | 62 | ASCE |
10 | Sustainability (Switzerland) | 7 | 5 | Engineering-Building and Construction | Q1 | Analysis of musculoskeletal disorders and muscle stresses on construction workers’ awkward postures using simulation [55] | 11 | MDPI |
Rank | Author | Scopus Author ID | H-Index | Total Number of Publications | Total Citations | Average Citations per Publication | Current Affiliations |
---|---|---|---|---|---|---|---|
1 | Paul M. Goodrum | 57192406460 | 28 | 12 | 395 | 32.92 | Colorado State University, Fort Collins, United States |
2 | Awad S. Hanna | 7103318488 | 30 | 6 | 183 | 30.50 | University of Wisconsin-Madison, Madison, United States |
3 | Abdulaziz M. Jarkas | 36091113900 | 16 | 6 | 393 | 65.50 | Al Mazaya Holding Co., Al Murqab, Kuwait |
4 | H. Randolph Thomas | 7403743141 | 25 | 6 | 303 | 50.50 | Pennsylvania State University, University Park, United States |
5 | Aminah Robinson Fayek | 55662922200 | 27 | 5 | 114 | 22.80 | University of Alberta, Edmonton, Canada |
6 | Carl T.M. Haas | 7202620442 | 47 | 5 | 356 | 71.20 | University of Waterloo, Waterloo, Canada |
7 | Heng Li | 8692514900 | 75 | 5 | 119 | 23.80 | Hong Kong Polytechnic University, Kowloon, Hong Kong |
8 | William F. Maloney | 56277587300 | 19 | 5 | 99 | 19.80 | University of Kentucky, Lexington, United States |
9 | Martin Skitmore | 7003387239 | 63 | 5 | 179 | 35.80 | Bond University, Gold Coast, Australia |
10 | Jochen Teizer | 12753630700 | 46 | 5 | 383 | 76.60 | Technical University of Denmark, Lyngby, Denmark |
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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Lee, T.Y.; Ahmad, F.; Sarijari, M.A. Current Status and Future Research Trends of Construction Labor Productivity Monitoring: A Bibliometric Review. Buildings 2023, 13, 1479. https://doi.org/10.3390/buildings13061479
Lee TY, Ahmad F, Sarijari MA. Current Status and Future Research Trends of Construction Labor Productivity Monitoring: A Bibliometric Review. Buildings. 2023; 13(6):1479. https://doi.org/10.3390/buildings13061479
Chicago/Turabian StyleLee, Tsu Yian, Faridahanim Ahmad, and Mohd Adib Sarijari. 2023. "Current Status and Future Research Trends of Construction Labor Productivity Monitoring: A Bibliometric Review" Buildings 13, no. 6: 1479. https://doi.org/10.3390/buildings13061479