Items with Index Term: labour productivity

Abdel-Hamid, M and Mohamed Abdelhaleem, H (2022) Impact of poor labor productivity on construction project cost. International Journal of Construction Management, 22(12), pp. 2356-2363. ISSN 1562-3599

Abdel-Wahab, M and Vogl, B (2011) Trends of productivity growth in the construction industry across Europe, US and Japan. Construction Management and Economics, 29(6), pp. 635-644. ISSN 1466433X

Abedmousa, M (2023) Reframing construction labour productivity in a colonisation context: the West Bank as an example. PhD thesis, University of Westminster, UK.

Abreu, M M and Lordsleem, A C (2019) Aluminum formwork system: Loss and productivity. Built Environment Project and Asset Management, 9(5), pp. 616-627. ISSN 2044-124X

Adebowale, O J and Agumba, J N (2023) A meta-analysis of factors affecting construction labour productivity in the middle East. Journal of Construction in Developing Countries, 28(1), pp. 193-220. ISSN 1823-6499

Adebowale, O J and Agumba, J N (2024) Applications of augmented reality for construction productivity improvement: A systematic review. Smart and Sustainable Built Environment, 13(3), pp. 479-495. ISSN 2046-6099

Adebowale, O J and Agumba, J N (2025) Construction SMEs labour productivity: Causal layered analysis. Journal of Engineering, Design and Technology, 23(2), pp. 501-524. ISSN 1726-0531

Agbo, E A; Izam, Y D and Ayegba, C (2022) Quantifying the impact of work environment factors on the variability of labour productivity in wall plastering. Journal of Construction in Developing Countries, 27(2), pp. 109-125. ISSN 1823-6499

Ahmad, S B S; Mazhar, M U; Bruland, A; Andersen, B S; Langlo, J A and Torp, O (2020) Labour productivity statistics: A reality check for the Norwegian construction industry. International Journal of Construction Management, 20(1), pp. 39-52. ISSN 1562-3599

Ahmad, S B S; Mazhar, M U; Laedre, O; Bruland, A and Torp, O (2022) Improvement measures to achieve sustainable construction labour performance. International Journal of Construction Management, 22(1), pp. 85-102. ISSN 1562-3599

Aje, I O; Oladinrin, T O and Nwaole, A N C (2016) Factors influencing success rate of contractors in competitive bidding for construction works in South-East, Nigeria. Journal of Construction in Developing Countries, 21(1), pp. 19-34. ISSN 1823-6499

Al Sabah, R (2014) Evaluating the impact of construction risks on project success in the Arabian Gulf region (AGR) construction industry from the perspective of multinational firms. PhD thesis, University of Wisconsin - Madison, USA.

Al-Hasan, M A A (2007) A parametric model for the estimation of construction project labour productivity. PhD thesis, Liverpool John Moores University, UK.

Al-Kofahi, Z G; Mahdavian, A and Oloufa, A (2022) System dynamics modeling approach to quantify change orders impact on labor productivity 1: Principles and model development comparative study. International Journal of Construction Management, 22(7), pp. 1355-1366. ISSN 1562-3599

Al-Mutairi, Y (2015) Development of implementation strategies for offsite construction techniques in the Kingdom of Saudi Arabia. PhD thesis, University of Salford, UK.

Al-Refaie, A; Alashwal, A; Abdul-Samad, Z; Salleh, H and Elshafie, A (2023) Evaluation of weather-productivity models of construction labour for tropics. Built Environment Project and Asset Management, 13(2), pp. 238-252. ISSN 2044-124X

Alaghbari, W; Al-Sakkaf, A A and Sultan, B (2019) Factors affecting construction labour productivity in Yemen. International Journal of Construction Management, 19(1), pp. 79-91. ISSN 1562-3599

Alinaitwe, H M; Widén, K; Mwakali, J and Hansson, B (2007) Innovation barriers and enablers that affect productivity in Uganda building industry. Journal of Construction in Developing Countries, 12(1), pp. 59-75. ISSN 1823-6499

Almalki, M (2024) Accelerated wastewater pipeline construction. PhD thesis, Syracuse University, USA.

Alrefaie, A M; Abdul-Samad, Z; Salleh, H; Alashwal, A M and Amos, D (2023) Modelling labour productivity of reinforcement bar using polynomial regression: A study on a tropical country's weather. International Journal of Construction Management, 23(10), pp. 1633-1641. ISSN 1562-3599

Alruwaythi, O and Goodrum, P (2019) A difference in perspective: Impact of different formats of engineering information and spatial cognition on craft-worker eye-gaze patterns. Journal of Construction Engineering and Management, 145(11): 04019065, ISSN 0733-9364

Alzraiee, H (2024) Quantifying labour impact cost due to change orders. International Journal of Construction Management, 24(4), pp. 467-475. ISSN 1562-3599

Amarasinghe, A A S R; Agdas, D and Dawes, L (2025) Evaluating labour productivity and profitability in precast concrete manufacturing. Engineering, Construction and Architectural Management, 32(13), pp. 148-173. ISSN 0969-9988

Andres, L A (2005) The impact of privatization on firms in the infrastructure sector in latin American countries. PhD thesis, University of Chicago, USA.

Aramvareekul, P (2003) An analysis of labor productivity in the United States construction industry. PhD thesis, State University of New York at Buffalo, USA.

Araujo, Luís Otávio Cocito de (2005) Method to propose directions improving labor productivity in the steel reinforcement activities. PhD thesis, Universidade de São Paulo, Brazil.

Arditi, D; Ayrancioglu, M and Shi, J J (2005) Worker safety issues in night-time highway construction. Engineering, Construction and Architectural Management, 12(5), pp. 487-501. ISSN 0969-9988

Assaad, R H; El-Adaway, I H; Hastak, M and Lascola Needy, K (2023) Key factors affecting labor productivity in offsite construction projects. Journal of Construction Engineering and Management, 149(1): 04022158, ISSN 0733-9364

Baker, L M (1984) A labor market model to manage costs risk in construction project management. PhD thesis, Colorado School of Mines, USA.

Balina, C M (2002) Using labor productivity data to evaluate the application of lean principles to the concrete construction process. PhD thesis, Pennsylvania State University, USA.

Barot, B (2002) Growth and business cycles for the Swedish economy. Journal of Construction Research, 3(2), pp. 217-253. ISSN 1609-9451

Bell, L C and Stukhart, G (1987) Costs and benefits of materials management systems. Journal of Construction Engineering and Management, 113(2), pp. 222-234. ISSN 0733-9364

Bokor, O (2022) Improving labour productivity in construction. A hybrid machine learning approach. PhD thesis, University of Northumbria at Newcastle, UK.

Bonham, D R; Goodrum, P M; Littlejohn, R and Albattah, M A (2017) Application of data mining techniques to quantify the relative influence of design and installation characteristics on labor productivity. Journal of Construction Engineering and Management, 143(8): 04017052, ISSN 0733-9364

Braimah, N; Ndekugri, I and Gameson, R (2006) A review of industry standards and publications/charts for adjusting productivity losses in construction contracts. In: Boyd, D (ed.) Proceedings of 22nd Annual ARCOM Conference, 4-6 September 2006, Birmingham, UK.

Buli, L G (2017) Strategies for improving labor productivity in construction companies. PhD thesis, Walden University, USA.

Caldas, C H; Kim, J Y; Haas, C T; Goodrum, P M and Zhang, D (2015) Method to assess the level of implementation of productivity practices on industrial projects. Journal of Construction Engineering and Management, 141(1): 04014061, ISSN 0733-9364

Chalhoub, J (2019) Benefits of using augmented reality in planning, construction and post-construction phases in specialty contracting. PhD thesis, Arizona State University, USA.

Chan, D W M and Kumaraswamy, M M (1995) A study of the factors affecting construction durations in Hong Kong. Construction Management and Economics, 13(4), pp. 319-333. ISSN 01446193

Chan, P (2002) Factors affecting labour productivity in the construction industry. In: Greenwood, D (ed.) Proceedings of 18th Annual ARCOM Conference, 2-4 September 2002, Northumbria, UK.

Chan, P and Kaka, A (2003) A blue-collar insight into improving construction labour productivity. In: Greenwood, D J (ed.) Proceedings of 19th Annual ARCOM Conference, 3-5 September 2003, Brighton, UK.

Chan, P; Puybaraud, M C and Kaka, A (2001) Construction training: A linkage to productivity improvements. In: Akintoye, A (ed.) Proceedings of 17th Annual ARCOM Conference, 5-7 September 2001, Salford, UK.

Chan, P W (2005) An interpretivistic approach to understand the factors that affect construction labour productivity. PhD thesis, Heriot-Watt University, UK.

Chang, C K; Hanna, A S; Lackney, J A and Sullivan, K T (2007) Quantifying the impact of schedule compression on labor productivity for mechanical and sheet metal contractor. Journal of Construction Engineering and Management, 133(4), pp. 287-296. ISSN 0733-9364

Chang, C-K (2004) Quantifying the impact of schedule compression on construction labor productivity. PhD thesis, University of Wisconsin - Madison, USA.

Chaparro, D A; Ying, F J; Rotimi, F E and Egbelakin, T (2020) Commute and labour productivity: Investigation of inner city construction sites. Journal of Engineering, Design and Technology, 18(5), pp. 1305-1319. ISSN 1726-0531

Chasey, A D and Merchant, S (2000) Issues for construction of 300-mm fab. Journal of Construction Engineering and Management, 126(6), pp. 451-457. ISSN 0733-9364

Chau, K W and Walker, A (1988) The measurement of total factor productivity of the Hong Kong construction industry. Construction Management and Economics, 6(3), pp. 209-224. ISSN 01446193

Chia, F C; Skitmore, M; Gray, J and Bridge, A (2018) International comparisons of nominal and real construction labour productivity. Engineering, Construction and Architectural Management, 25(7), pp. 896-915. ISSN 0969-9988

Chia, F C; Skitmore, M; Runeson, G and Bridge, A (2012) An analysis of construction productivity in Malaysia. Construction Management and Economics, 30(12), pp. 1055-1069. ISSN 1466433X

Chia, Fah Choy (2011) Economic fluctuations and productivity in the Malaysian construction sector. PhD thesis, Queensland University of Technology, Australia.

Choi, K and Lee, H W (2016) Deconstructing the construction industry: A spatiotemporal clustering approach to profitability modeling. Journal of Construction Engineering and Management, 142(10): 04016051, ISSN 0733-9364

Chui, K W (2010) Comparison of construction labor productivity between U.S. and China: Using on-site productivity measurement methods. PhD thesis, University of Kansas, USA.

Cottrell, D S (2006) Contractor process improvement for enhancing construction productivity. Journal of Construction Engineering and Management, 132(2), pp. 189-196. ISSN 0733-9364

Crawford, P and Vogl, B (2006) Measuring productivity in the construction industry. Building Research & Information, 34(3), pp. 208-219. ISSN 0961-3218

Crespo Vallejo, L G (2018) Project manager strategies to improve the delivery of construction projects. PhD thesis, Walden University, USA.

Dabirian, S; Moussazadeh, M; Khanzadi, M and Abbaspour, S (2023) Predicting the effects of congestion on labour productivity in construction projects using agent-based modelling. International Journal of Construction Management, 23(4), pp. 606-618. ISSN 1562-3599

Dai, J and Goodrum, P M (2011) Differences in perspectives regarding labor productivity between Spanish-and English-speaking craft workers. Journal of Construction Engineering and Management, 137(9), pp. 689-697. ISSN 0733-9364

Dai, J; Goodrum, P M and Maloney, W F (2007) Analysis of craft workers' and foremen's perceptions of the factors affecting construction labour productivity. Construction Management and Economics, 25(11), pp. 1139-1152. ISSN 01446193

Daniel, E I; Oshodi, O S and Odediran, S (2024) An exploration of construction craftspeople apprentice training: Evidence from the UK. International Journal of Construction Education and Research, 20(2), pp. 218-240. ISSN 15578771

Delatte, G (2014) The effects of three dimensional modeling on labor productivity through enhancing visualization of craft workers in the industrial construction industry. PhD thesis, Louisiana State University and Agricultural & Mechanical College, USA.

Dent, S and Smallwood, J J (2014) Building economics pre-course student perceptions. In: Raiden, A and Aboagye-Nimo, E (eds.) Proceedings of 30th Annual ARCOM Conference, 1-3 September 2014, Portsmouth, UK.

Dinca, M S; Barbuta-Misu, N; Madaleno, M; Dinca, G and Deari, F (2017) Integrated analysis of EU construction companies' financial performances. Journal of Construction Engineering and Management, 143(6): 04017002, ISSN 0733-9364

Dissanayake, G M (2006) An integrated computational intelligence framework for construction performance diagnosis. PhD thesis, University of Alberta, Canada.

Du Toit, G J (1997) The potential of labour-intensive construction methods in the provision of urban infrastructure. PhD thesis, University of Pretoria, South Africa.

Duan, P; Zhou, J and Tao, S (2023) Risk events recognition using smartphone and machine learning in construction workers' material handling tasks. Engineering, Construction and Architectural Management, 30(8), pp. 3562-3582. ISSN 0969-9988

Duncheva, T and Bradley, F F (2019) Multifaceted productivity comparison of off-site timber manufacturing strategies in mainland Europe and the United Kingdom. Journal of Construction Engineering and Management, 145(8): 04019043, ISSN 0733-9364

Durdyev, S and Mbachu, J (2011) On-site labour productivity of New Zealand construction industry: Key constraints and improvement measures. Construction Economics and Building, 11(3), pp. 18-33. ISSN 2204-9029

Durdyev, S and Mbachu, J (2018) Key constraints to labour productivity in residential building projects: Evidence from Cambodia. International Journal of Construction Management, 18(5), pp. 385-393. ISSN 1562-3599

El-Gohary, K M; Aziz, R F and Abdel-Khalek, H A (2017) Engineering approach using ANN to improve and predict construction labor productivity under different influences. Journal of Construction Engineering and Management, 143(8): 04017045, ISSN 0733-9364

Eldin, N N (1987) Methodology for project management control in the construction industry. PhD thesis, Oklahoma State University, USA.

Eldin, N N and Egger, S (1990) Productivity improvement tool: Camcorders. Journal of Construction Engineering and Management, 116(1), pp. 100-111. ISSN 0733-9364

Fayek, A R and Oduba, A (2005) Predicting industrial construction labor productivity using fuzzy expert systems. Journal of Construction Engineering and Management, 131(8), pp. 938-941. ISSN 0733-9364

Fobiri, G; Musonda, I and Muleya, F (2025) Unlocking the full potential of reality capture for construction project cost monitoring: A mixed review. Journal of Engineering, Design and Technology, 23(3), pp. 830-853. ISSN 1726-0531

Fulford, R G (2019) The implications of the construction industry to national wealth. Engineering, Construction and Architectural Management, 26(5), pp. 779-793. ISSN 0969-9988

Gaber Abubaker, A (2016) Factors affecting maintenance labour productivity in the building industry. PhD thesis, University of Dundee, UK.

Gholipour, H F; Farzanegan, M R and Abu Al-Foul, M N (2024) House prices and labour productivity growth: Evidence from oecd countries. Construction Management and Economics, 42(6), pp. 582-589. ISSN 01446193

Ghosh, A (2015) Analyzing the impact of building information modeling (BIM) on labor productivity in retrofit construction: Case study at a semiconductor manufacturing facility. PhD thesis, Arizona State University, USA.

Ginigaddara, B; Perera, S; Feng, Y and Rahnamayiezekavat, P (2022) An evaluation of offsite construction skill profiles. Journal of Financial Management of Property and Construction, 27(1), pp. 16-28. ISSN 1366-4387

Gonzlez, V; Alarcn, L F; Maturana, S and Bustamante, J A (2011) Site management of work-in-process buffers to enhance project performance using the reliable commitment model: Case study. Journal of Construction Engineering and Management, 137(9), pp. 707-715. ISSN 0733-9364

Goodrum, P M (2001) The impact of equipment technology on productivity in the United States construction industry. PhD thesis, University of Texas at Austin, USA.

Goodrum, P M and Haas, C T (2004) Long-term impact of equipment technology on labor productivity in the U.S. Construction industry at the activity level. Journal of Construction Engineering and Management, 130(1), pp. 124-133. ISSN 0733-9364

Goodrum, P M; Miller, J; Sweany, J and Alruwaythi, O (2016) Influence of the format of engineering information and spatial cognition on craft-worker performance. Journal of Construction Engineering and Management, 142(9): 04016043, ISSN 0733-9364

Goodrum, P M; Zhai, D and Yasin, M F (2009) Relationship between changes in material technology and construction productivity. Journal of Construction Engineering and Management, 135(4), pp. 278-287. ISSN 0733-9364

Gunduz, M (2002) Change orders impact assessment for labor intensive construction. PhD thesis, University of Wisconsin - Madison, USA.

Gupta, M; Hasan, A; Jain, A K and Jha, K N (2018) Site amenities and workers' welfare factors affecting workforce productivity in Indian construction projects. Journal of Construction Engineering and Management, 144(11): 04018101, ISSN 0733-9364

Gurmu, A T (2026) Econometric analysis of macroeconomic factors influencing construction labour productivity at industry level: Evidence from Australia. Construction Management and Economics, 44(1), pp. 23-40. ISSN 0144-6193

Gurmu, A T (2019) Tools for measuring construction materials management practices and predicting labor productivity in multistory building projects. Journal of Construction Engineering and Management, 145(2): 4018139, ISSN 0733-9364

Gurmu, A T (2020) Construction materials management practices enhancing labour productivity in multi-storey building projects. International Journal of Construction Management, 20(1), pp. 77-86. ISSN 1562-3599

Gurmu, A T (2021) Hybrid model for assessing the influence of safety management practices on labor productivity in multistory building projects. Journal of Construction Engineering and Management, 147(11): 04021139, ISSN 0733-9364

Gurmu, A T and Aibinu, A A (2017) Construction equipment management practices for improving labor productivity in multistory building construction projects. Journal of Construction Engineering and Management, 143(10): 04017081, ISSN 0733-9364

Gurmu, A T and Ongkowijoyo, C S (2020) Predicting construction labor productivity based on implementation levels of human resource management practices. Journal of Construction Engineering and Management, 146(3): 04019115, ISSN 0733-9364

Gurmu, A T and Ongkowijoyo, C S (2020) Stochastic-based model for setting formwork-productivity baseline. Journal of Construction Engineering and Management, 146(9): 04020099, ISSN 0733-9364

Gurmu, Argaw (2017) An investigation into construction management practices influencing labour productivity in multi-storey building projects. PhD thesis, University of Melbourne, Australia.

Hamouda, H and Abu-Shaaban, N (2014) Enhancing labour productivity within construction industry through analytical hierarchy process, the case of Gaza Strip. In: Raiden, A and Aboagye-Nimo, E (eds.) Proceedings of 30th Annual ARCOM Conference, 1-3 September 2014, Portsmouth, UK.

Handa, V K and Abdalla, O (1989) Forecasting productivity by work sampling. Construction Management and Economics, 7(1), pp. 19-28. ISSN 01446193

Hanna, A S; Camlic, R; Peterson, P A and Lee, M J (2004) Cumulative effect of project changes for electrical and mechanical construction. Journal of Construction Engineering and Management, 130(6), pp. 762-771. ISSN 0733-9364

Hanna, A S; Camlic, R; Peterson, P A and Nordheim, E V (2002) Quantitative definition of projects impacted by change orders. Journal of Construction Engineering and Management, 128(1), pp. 57-64. ISSN 0733-9364

Hanna, A S; Chang, C K; Lackney, J A and Sullivan, K T (2007) Impact of overmanning on mechanical and sheet metal labor productivity. Journal of Construction Engineering and Management, 133(1), pp. 22-28. ISSN 0733-9364

Hanna, A S; Chang, C K; Sullivan, K T and Lackney, J A (2008) Impact of shift work on labor productivity for labor intensive contractor. Journal of Construction Engineering and Management, 134(3), pp. 197-204. ISSN 0733-9364

Hanna, A S; Peterson, P and Lee, M J (2002) Benchmarking productivity indicators for electrical/mechanical projects. Journal of Construction Engineering and Management, 128(4), pp. 331-337. ISSN 0733-9364

Hanus, V P (2025) Predicting critical management-controlled factors to increase productivity within the construction industry. DEngr thesis, George Washington University, USA.

Hasan, M and Lu, M (2021) Error propagation model for analyzing project labor cost budget risks in industrial construction. Journal of Construction Engineering and Management, 147(4): 2010, ISSN 0733-9364

Hassan, A A A (2019) Risk management of repetitive construction projects. PhD thesis, University of Illinois at Urbana-Champaign, USA.

Hayford, J K T; Eccles, T and Fong, D (2023) Development of conceptual motivation framework to enhance construction labour productivity in the UK. In: Tutesigensi, A and Neilson, C J (eds.) Proceedings of 39th Annual ARCOM Conference, 4-6 September 2023, University of Leeds, Leeds, UK.

He, P; Qin, L; Yuan, Y and Yuan, J (2025) Action reliability assessment framework for automated construction labor measurements: Case study on plastering operations. Journal of Construction Engineering and Management, 151(8): 05025006, ISSN 0733-9364

Heravi, G and Eslamdoost, E (2015) Applying artificial neural networks for measuring and predicting construction-labor productivity. Journal of Construction Engineering and Management, 141(10): 04015032, ISSN 0733-9364

Hiyassat, M A; Hiyari, M A and Sweis, G J (2016) Factors affecting construction labour productivity: A case study of Jordan. International Journal of Construction Management, 16(2), pp. 138-149. ISSN 1562-3599

Huynh, N M; Le-Hoai, L and Do, C D (2025) Assessing and improving labor productivity management in construction: A practical framework and measurement tool. Construction Economics and Building, 25(1), pp. 69-96. ISSN 2204-9029

Hwang, B G; Krishnankutty, P; Zhu, L; Caldas, C H; Shounak, A and Mulva, S (2020) Improving labour productivity in process construction maintenance and shutdown/turnaround projects. International Journal of Construction Management, 20(7), pp. 822-836. ISSN 1562-3599

Ibbs, W (2005) Impact of change's timing on labor productivity. Journal of Construction Engineering and Management, 131(11), pp. 1219-1223. ISSN 0733-9364

Ibbs, W and Liu, M (2005) Improved measured mile analysis technique. Journal of Construction Engineering and Management, 131(12), pp. 1249-1256. ISSN 0733-9364

Jahanger, Q K; Trejo, D and Louis, J (2025) Evaluation of field labor and management productivity in the USA construction industry. Engineering, Construction and Architectural Management, 32(1), pp. 259-281. ISSN 0969-9988

Jaiswal, S and Kar, S (2025) A decision support system for optimizing labor acquisition in construction. Journal of Construction Engineering and Management, 151(12): 04025211, ISSN 0733-9364

Jang, H; Kim, K; Kim, J and Kim, J (2011) Labour productivity model for reinforced concrete construction projects. Construction Innovation, 11(1), pp. 92-113. ISSN 1471-4175

Jarkas, A M (2005) An investigation into the influence of buildability factors on productivity of in situ reinforced concrete construction. PhD thesis, University of Dundee, UK.

Jarkas, A M (2010) Critical investigation into the applicability of the learning curve theory to rebar fixing labor productivity. Journal of Construction Engineering and Management, 136(12), pp. 1279-1288. ISSN 0733-9364

Jarkas, A M (2010) Buildability factors influencing micro-level formwork labour productivity of slab panels in building floors. Architectural Engineering and Design Management, 6(3), pp. 161-174. ISSN 1745-2007

Jarkas, A M (2010) The influence of buildability factors on rebar fixing labour productivity of beams. Construction Management and Economics, 28(5), pp. 527-543. ISSN 1466433X

Jarkas, A M (2010) Buildability factors influencing formwork labour productivity of walls. International Journal of Construction Management, 10(4), pp. 101-117. ISSN 1562-3599

Jarkas, A M (2010) The effects of buildability factors on rebar fixing labour productivity of isolated foundations. International Journal of Construction Management, 10(2), pp. 33-51. ISSN 1562-3599

Jarkas, A M (2010) Buildability factors influencing formwork labour productivity of isolated foundations. Journal of Engineering, Design and Technology, 8(3), pp. 274-295. ISSN 1726-0531

Jarkas, A M (2011) Buildability factors that influence micro-level formwork labour productivity of beams in building floors. Journal of Construction in Developing Countries, 16(1), pp. 1-18. ISSN 1823-6499

Jarkas, A M (2012) Buildability factors influencing concreting labor productivity. Journal of Construction Engineering and Management, 138(1), pp. 89-97. ISSN 0733-9364

Jarkas, A M (2012) Influence of buildability factors on rebar installation labor productivity of columns. Journal of Construction Engineering and Management, 138(2), pp. 258-267. ISSN 0733-9364

Jarkas, A M (2015) Factors influencing labour productivity in Bahrain's construction industry. International Journal of Construction Management, 15(1), pp. 94-108. ISSN 1562-3599

Jarkas, A M (2016) Effect of buildability on labor productivity: A practical quantification approach. Journal of Construction Engineering and Management, 142(2): 06015002, ISSN 0733-9364

Jarkas, A M (2017) Beamless or beam-supported building floors: Is buildability knowledge the missing link to improving productivity? Engineering, Construction and Architectural Management, 24(3), pp. 537-552. ISSN 0969-9988

Jarkas, A M; Al Balushi, R A and Raveendranath, P K (2015) Determinants of construction labour productivity in Oman. International Journal of Construction Management, 15(4), pp. 332-344. ISSN 1562-3599

Jarkas, A M and Bitar, C G (2014) Factors affecting construction labor productivity in Kuwait. Journal of Construction Engineering and Management, 138(7), pp. 811-820. ISSN 0733-9364

Jarkas, A M and Horner, R M W (2011) Revisiting the applicability of learning curve theory to formwork labour productivity. Construction Management and Economics, 29(5), pp. 483-493. ISSN 1466433X

Jarkas, A M and Horner, R M W (2015) Creating a baseline for labour productivity of reinforced concrete building construction in Kuwait. Construction Management and Economics, 33(8), pp. 625-639. ISSN 01446193

Jiang, L; Zhong, H; Chen, J; Cheng, J; Chen, S; Gong, Z; Lun, Z; Zhang, J and Su, Z (2023) Study on the construction workforce management based on lean construction in the context of COVID-19. Engineering, Construction and Architectural Management, 30(8), pp. 3310-3329. ISSN 0969-9988

Jonsson, J (1996) Construction site productivity measurements selection, application and evaluation of methods and measures. PhD thesis, Luleå University of Technology, Sweden.

Jordan Srour, F; Kiomjian, D and Srour, I M (2018) Automating the use of learning curve models in construction task duration estimates. Journal of Construction Engineering and Management, 144(7): 04018055, ISSN 0733-9364

Kaming, P F; Olomolaiye, P O; Holt, G D and Harris, F C (1997) Factors influencing construction time and cost overruns on high-rise projects in Indonesia. Construction Management and Economics, 15(1), pp. 83-94. ISSN 01446193

Karatas, I and Budak, A (2024) Development and comparative of a new meta-ensemble machine learning model in predicting construction labor productivity. Engineering, Construction and Architectural Management, 31(3), pp. 1123-1144. ISSN 0969-9988

Karthik, D and Kameswara Rao, C B (2022) Identifying the significant factors affecting the masonry labour productivity in building construction projects in India. International Journal of Construction Management, 22(3), pp. 464-472. ISSN 1562-3599

Kasbar, M; Staub-French, S; Pilon, A; Poirier, E; Teshnizi, Z and Froese, T (2021) Construction productivity assessment on brock commons tallwood house. Construction Innovation, 21(4), pp. 951-968. ISSN 1471-4175

Kazaz, A and Ulubeyli, S (2006) Organizational factors influencing construction manpower productivity in Turkey. In: Boyd, D (ed.) Proceedings of 22nd Annual ARCOM Conference, 4-6 September 2006, Birmingham, UK.

Kazaz, A and Ulubeyli, S (2006) Physical factors affecting productivity of Turkish construction workers. In: Boyd, D (ed.) Proceedings of 22nd Annual ARCOM Conference, 4-6 September 2006, Birmingham, UK.

Khanh, H D; Kim, S Y; Khoa, N V and Tu, N T (2023) The relationship between workers' experience and productivity: A case study of brick masonry construction. International Journal of Construction Management, 23(4), pp. 596-605. ISSN 1562-3599

Khanh, H D; Kim, S Y and Linh, L Q (2023) Construction productivity prediction through Bayesian networks for building projects: Case from Vietnam. Engineering, Construction and Architectural Management, 30(5), pp. 2075-2100. ISSN 0969-9988

Khanzadi, M; Nasirzadeh, F; Mir, M and Nojedehi, P (2018) Prediction and improvement of labor productivity using hybrid system dynamics and agent-based modeling approach. Construction Innovation, 18(1), pp. 2-19. ISSN 1471-4175

Kiomjian, D; Srour, I and Srour, F J (2020) Knowledge sharing and productivity improvement: An agent-based modeling approach. Journal of Construction Engineering and Management, 146(7): 04020076, ISSN 0733-9364

Kisi, K P (2015) Estimation of optimal productivity in labor-intensive construction operations. PhD thesis, University of Nebraska - Lincoln, USA.

Kisi, K P; Mani, N; Rojas, E M and Foster, E T (2018) Estimation of optimal productivity in labor-intensive construction operations: Advanced study. Journal of Construction Engineering and Management, 144(10): 04018097, ISSN 0733-9364

Konstantinou, E (2018) Vision-based construction worker task productivity monitoring. PhD thesis, University of Cambridge, UK.

Kuntz, K A (1994) A construction crew evaluation model to improve craft productivity. PhD thesis, Pennsylvania State University, USA.

Lal, H (1999) The use of characteristic productivity modelling in the improvement of site performance and the evaluation of delay and disruption claims. PhD thesis, University of Dundee, UK.

Larsson, R (2021) Modelling and simulation of factors influencing on-site construction of concrete frameworks: Studying the effects of resource allocation, weather conditions, and climate-improved concrete. PhD thesis, Lund University, Sweden.

Lee, B; Lee, H S; Park, M and Kim, H (2015) Influence factors of learning-curve effect in high-rise building constructions. Journal of Construction Engineering and Management, 141(8): 04015019, ISSN 0733-9364

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