Impact of management practices on construction productivity in Indian building construction projects: an empirical study¹

Abdul Kadir, M. R., Lee, W. P., Jaafar, M. S., Sapuan, S. M., & Ali, A. A. A. (2005). Factors affecting construction labour productivity for Malaysian residential projects. Structural Survey, 23(1), pp. 42–54. Abdul KadirM. R. LeeW. P. JaafarM. S. SapuanS. M. AliA. A. A. 2005 Factors affecting construction labour productivity for Malaysian residential projects Structural Survey 23 1 42 54 10.1108/02630800510586907 Search in Google Scholar

Afifi, M., Al-Hussein, M., Abourizk, S., & Fotouh, A. (2016). Discrete and continuous simulation approach to optimize the productivity of modular construction element. In: Proceedings of the International Symposium on Automation and Robotics in Construction (ISARC 2016), Vol. 33(1), pp. 1–6. AfifiM. Al-HusseinM. AbourizkS. FotouhA. 2016 Discrete and continuous simulation approach to optimize the productivity of modular construction element In: Proceedings of the International Symposium on Automation and Robotics in Construction (ISARC 2016) 33 1 1 6 10.22260/ISARC2016/0043 Search in Google Scholar

Ajala, A. T., The Federal Polytechnic & Traffic Management Strategies. (2017). Traffic Management Strategies and Best Practices. GG Associates, Abeokuta, Nigeria. AjalaA. T. The Federal Polytechnic & Traffic Management Strategies 2017 Traffic Management Strategies and Best Practices GG Associates Abeokuta, Nigeria Search in Google Scholar

Alazzaz, F., & Whyte, A. (2015). Linking employee empowerment with productivity in off-site construction. Engineering Construction and Architectural Management, 22(1), pp. 21–37. AlazzazF. WhyteA. 2015 Linking employee empowerment with productivity in off-site construction Engineering Construction and Architectural Management 22 1 21 37 10.1108/ECAM-09-2013-0083 Search in Google Scholar

Al-Tabtabai, H. C., Kartam, N., Flood, I., & Alex, A. P. (1997). Construction project control using artificial neural networks. Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, 11(1), pp. 45–57. Al-TabtabaiH. C. KartamN. FloodI. AlexA. P. 1997 Construction project control using artificial neural networks Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM 11 1 45 57 10.1017/S0890060400001839 Search in Google Scholar

Alves, T., Milberg, C., & Walsh, K. D. (2012). Exploring lean construction practice, research, & education. Engineering Construction & Architectural Management, 19(5), pp. 512–525. AlvesT. MilbergC. WalshK. D. 2012 Exploring lean construction practice, research, & education Engineering Construction & Architectural Management 19 5 512 525 10.1108/09699981211259595 Search in Google Scholar

Ameh, O., & Osegbo, E. (2011). Study of relationship between time overrun and productivity on construction sites. International Journal of Construction Supply Chain Management, 1(1), pp. 56–67. AmehO. OsegboE. 2011 Study of relationship between time overrun and productivity on construction sites International Journal of Construction Supply Chain Management 1 1 56 67 10.14424/ijcscm101011-56-67 Search in Google Scholar

Ameh, S., Dania, A., Zubairu, I., & Bustani, S. (2010). Sustainable construction education: assessing the adequacy of built environment professional‘s training. In: West Africa Built Environment Research (WABER Conference), Ghana, 27–28 July 201, pp. 27–28. AmehS. DaniaA. ZubairuI. BustaniS. 2010 Sustainable construction education: assessing the adequacy of built environment professional‘s training In: West Africa Built Environment Research (WABER Conference) Ghana 27–28 July 201 27 28 Search in Google Scholar

Assefa Tsehayae, A., Robinson Fayek, A., Tsehayae, A. A., & Fayek, A. R. (2016). Developing and optimizing context-specific fuzzy inference system-based construction labor productivity models. Journal of Construction Engineering & Management, 142(7), p. 04016017. Assefa TsehayaeA. Robinson FayekA. TsehayaeA. A. FayekA. R. 2016 Developing and optimizing context-specific fuzzy inference system-based construction labor productivity models Journal of Construction Engineering & Management 142 7 04016017 10.1061/(ASCE)CO.1943-7862.0001127 Search in Google Scholar

Aziz, R. F., & Hafez, S. M. (2013). Applying lean thinking in construction and performance improvement. Alexandria Engineering Journal, 52(4), pp. 679–695. AzizR. F. HafezS. M. 2013 Applying lean thinking in construction and performance improvement Alexandria Engineering Journal 52 4 679 695 10.1016/j.aej.2013.04.008 Search in Google Scholar

Banawi, A., & Bilec, M. M. (2014). A framework to improve construction processes: Integrating lean, green and six sigma. International Journal of Construction Management, 14(1), pp. 45–55. BanawiA. BilecM. M. 2014 A framework to improve construction processes: Integrating lean, green and six sigma International Journal of Construction Management 14 1 45 55 10.1080/15623599.2013.875266 Search in Google Scholar

Barlow, P. (2009). Cost of Quality in Construction Industry. California Polytechnic State University, San Luis Obispo. BarlowP. 2009 Cost of Quality in Construction Industry California Polytechnic State University San Luis Obispo Search in Google Scholar

Björnfot, A., & Sardén, Y. (2006). Prefabrication a lean strategy for value generation in construction. In: Sacks, R., & Bertelsen, S. (eds.), Proceeding of the 14th International Group for Lean Construction, Catholic University of Chile, School of Engineering, January, pp. 265–277. BjörnfotA. SardénY. 2006 Prefabrication a lean strategy for value generation in construction In: SacksR. BertelsenS. (eds.), Proceeding of the 14th International Group for Lean Construction Catholic University of Chile, School of Engineering January 265 277 Search in Google Scholar

Boyko, C. T., & Cooper, R. (2011). Clarifying and re-conceptualising density. Progress in Planning, 76(1), pp. 1–61. BoykoC. T. CooperR. 2011 Clarifying and re-conceptualising density Progress in Planning 76 1 1 61 10.1016/j.progress.2011.07.001 Search in Google Scholar

Burgess, T. F., Grimshaw, P., Huaccho Huatuco, L., & Shaw, N. E. (2017). Mapping the operations and supply chain management field: A journal governance perspective. International Journal of Operations & Production Management, 37(7), pp. 898–926. BurgessT. F. GrimshawP. Huaccho HuatucoL. ShawN. E. 2017 Mapping the operations and supply chain management field: A journal governance perspective International Journal of Operations & Production Management 37 7 898 926 10.1108/IJOPM-01-2016-0043 Search in Google Scholar

Castellani, D., Piva, M., Schubert, T., & Vivarelli, M. (2018). R&D and productivity in the US and the EU: Sectoral specificities and differences in the crisis. Technological Forecasting and Social Change, 138(April), pp. 279–291. CastellaniD. PivaM. SchubertT. VivarelliM. 2018 R&D and productivity in the US and the EU: Sectoral specificities and differences in the crisis Technological Forecasting and Social Change 138 April 279 291 10.1016/j.techfore.2018.10.001 Search in Google Scholar

Chalker, M., & Loosemore, M. (2016). Trust and productivity in Australian construction projects: A subcontractor perspective. Engineering, Construction and Architectural Management, 23(2), pp. 192–210. ChalkerM. LoosemoreM. 2016 Trust and productivity in Australian construction projects: A subcontractor perspective Engineering, Construction and Architectural Management 23 2 192 210 10.1108/ECAM-06-2015-0090 Search in Google Scholar

Chancellor, W., & Abbott, M. (2015). The Australian construction industry: Is the shadow economy distorting productivity? Construction Management and Economics, 33(3), pp. 176–186. ChancellorW. AbbottM. 2015 The Australian construction industry: Is the shadow economy distorting productivity? Construction Management and Economics 33 3 176 186 10.1080/01446193.2015.1028954 Search in Google Scholar

Dixit, S. (2018). Analysing enabling factors affecting the on-site productivity in Indian construction industry. Periodica Polytechnica Architecture, 49(2), pp. 185–193. DixitS. 2018 Analysing enabling factors affecting the on-site productivity in Indian construction industry Periodica Polytechnica Architecture 49 2 185 193 10.3311/PPar.12710 Search in Google Scholar

Dixit, S. & Sharma, K. (2019). A review of studies in structural health monitoring (SHM). In: Miroslaw, J. S., & Miklos, H. (eds.), Budapest University of Technology and Economics & Diamond Congress Ltd., Budapest, pp. 95–99. doi: https://doi.org/10.3311/CCC2019-013 DixitS. SharmaK. 2019 A review of studies in structural health monitoring (SHM) In: MiroslawJ. S. MiklosH. (eds.), Budapest University of Technology and Economics & Diamond Congress Ltd. Budapest 95 99 https://doi.org/10.3311/CCC2019-013 Open DOISearch in Google Scholar

Dixit, S., Mandal, S. N., Thanikal, J. V., & Saurabh, K. (2018). Construction productivity and construction project performance in Indian construction projects. In: Creative Construction Conference 2018, CCC 2018, 30 June – 3 July 2018, Ljubljana, Slovenia, At Ljubljana, Slovenia, pp. 379–386. DixitS. MandalS. N. ThanikalJ. V. SaurabhK. 2018 Construction productivity and construction project performance in Indian construction projects In: Creative Construction Conference 2018, CCC 2018 30 June – 3 July 2018 Ljubljana, Slovenia, At Ljubljana, Slovenia 379 386 10.3311/CCC2018-050 Search in Google Scholar

Dixit, S., Mandal, S. N., Thanikal, J. V., & Saurabh, K. (2019a). Evolution of studies in construction productivity: A systematic literature review (2006–2017). Ain Shams Engineering Journal., 10(3), pp. 555–564. doi: 10.1016/j.asej.2018.10.010 DixitS. MandalS. N. ThanikalJ. V. SaurabhK. 2019a Evolution of studies in construction productivity: A systematic literature review (2006–2017) Ain Shams Engineering Journal 10 3 555 564 10.1016/j.asej.2018.10.010 Open DOISearch in Google Scholar

Dixit, S., Mandal, S. N., Thanikal, J. V., & Saurabh, K. (2019b). Study of significant factors affecting construction productivity using relative importance index in Indian construction industry. E3S Web of Conferences, 140, 09010. doi: 10.1051/e3sconf/201914009010 DixitS. MandalS. N. ThanikalJ. V. SaurabhK. 2019b Study of significant factors affecting construction productivity using relative importance index in Indian construction industry E3S Web of Conferences 140 09010 10.1051/e3sconf/201914009010 Open DOISearch in Google Scholar

Dixit, S., Pandey, A. K., Mandal, S. N., & Bansal, S. (2017). A study of enabling factors affecting construction productivity: Indian scenario. International Journal of Civil Engineering and Technology, 8(6), pp. 741–758. DixitS. PandeyA. K. MandalS. N. BansalS. 2017 A study of enabling factors affecting construction productivity: Indian scenario International Journal of Civil Engineering and Technology 8 6 741 758 Search in Google Scholar

Doloi, H., Sawhney, A., Iyer, K. C., & Rentala, S. (2012). Analysing factors affecting delays in Indian construction projects. International Journal of Project Management, 30(4), pp. 479–489. DoloiH. SawhneyA. IyerK. C. RentalaS. 2012 Analysing factors affecting delays in Indian construction projects International Journal of Project Management 30 4 479 489 10.1016/j.ijproman.2011.10.004 Search in Google Scholar

Fulford, R., & Standing, C. (2014). Construction industry productivity and the potential for collaborative practice. International Journal of Project Management, 32(2), pp. 315–326. FulfordR. StandingC. 2014 Construction industry productivity and the potential for collaborative practice International Journal of Project Management 32 2 315 326 10.1016/j.ijproman.2013.05.007 Search in Google Scholar

Grau, D., Caldas, C. H., Haas, C. T., Goodrum, P. M., & Gong, J. (2009). Impact of fast automated tracking of construction components on labor productivity. In: 26th International Symposium on Automation and Robotics in Construction (ISARC 2009), Austin, TX, USA, pp. 505–511. GrauD. CaldasC. H. HaasC. T. GoodrumP. M. GongJ. 2009 Impact of fast automated tracking of construction components on labor productivity In: 26th International Symposium on Automation and Robotics in Construction (ISARC 2009) Austin, TX, USA 505 511 10.22260/ISARC2009/0045 Search in Google Scholar

Gurmu, A. T., & 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), p. 04017081. GurmuA. T. AibinuA. A. 2017 Construction equipment management practices for improving labor productivity in multistory building construction projects Journal of Construction Engineering and Management 143 10 04017081 10.1061/(ASCE)CO.1943-7862.0001384 Search in Google Scholar

Hahn, M. H., Lee, K. C., & Jo, N. Y. (2015). Scenario-based management of individual creativity. Computers in Human Behavior, 42, pp. 36–46. HahnM. H. LeeK. C. JoN. Y. 2015 Scenario-based management of individual creativity Computers in Human Behavior 42 36 46 10.1016/j.chb.2013.07.058 Search in Google Scholar

Howell, C. A. (1999). What is lean construction. In: Proceedings of the Seventh Annual Conference of the International Group for Lean Construction IGLC-7, Berkeley, July 26–28, pp. 1–10. HowellC. A. 1999 What is lean construction In: Proceedings of the Seventh Annual Conference of the International Group for Lean Construction IGLC-7 Berkeley July 26–28 1 10 Search in Google Scholar

Hughes, R., & Thorpe, D. (2014). A review of enabling factors in construction industry productivity in an Australian environment. Construction Innovations, 14(2), pp. 210–228. HughesR. ThorpeD. 2014 A review of enabling factors in construction industry productivity in an Australian environment Construction Innovations 14 2 210 228 10.1108/CI-03-2013-0016 Search in Google Scholar

ISO 31000. (2009). ISO 31000:2009 risk management – Principles and guidelines. Risk Management, 31000, p. 24. ISO 31000 2009 ISO 31000:2009 risk management – Principles and guidelines Risk Management 31000, 24 Search in Google Scholar

Iyer, K. C., & Jha, K. N. (2005). Factors affecting cost performance: Evidence from Indian construction projects. International Journal of Project Management, 23(4), pp. 283–295. IyerK. C. JhaK. N. 2005 Factors affecting cost performance: Evidence from Indian construction projects International Journal of Project Management 23 4 283 295 10.1016/j.ijproman.2004.10.003 Search in Google Scholar

Jamil, A. H. A., & Fathi, M. S. (2016). The integration of lean construction and sustainable construction: A stakeholder perspective in analyzing sustainable lean construction strategies in Malaysia. Procedia Computer Science, 100, pp. 634–643. JamilA. H. A. FathiM. S. 2016 The integration of lean construction and sustainable construction: A stakeholder perspective in analyzing sustainable lean construction strategies in Malaysia Procedia Computer Science 100 634 643 10.1016/j.procs.2016.09.205 Search in Google Scholar

Jarkas, A. M., & Bitar, C. G. (2012). Factors affecting construction labour productivity in Kuwait. Journal of Construction Engineering and Management, 138(July), pp. 811–820. JarkasA. M. BitarC. G. 2012 Factors affecting construction labour productivity in Kuwait Journal of Construction Engineering and Management 138 July 811 820 10.1061/(ASCE)CO.1943-7862.0000501 Search in Google Scholar

Jarkas, A. M., Al Balushi, R. A., & Raveendranath, P. K. (2015). Determinants of construction labour productivity in Oman. International Journal of Construction Management, 15(4), pp. 332–344. JarkasA. M. Al BalushiR. A. RaveendranathP. K. 2015 Determinants of construction labour productivity in Oman International Journal of Construction Management 15 4 332 344 10.1080/15623599.2015.1094849 Search in Google Scholar

Jarkas, A. M., Kadri, C. Y., & Younes, J. H. (2012). A survey of factors influencing the productivity of construction operatives in the state of Qatar. International Journal of Construction Management, 12(3), pp. 1–23. JarkasA. M. KadriC. Y. YounesJ. H. 2012 A survey of factors influencing the productivity of construction operatives in the state of Qatar International Journal of Construction Management 12 3 1 23 10.1080/15623599.2012.10773192 Search in Google Scholar

Jiang, R., Wu, C., Mao, C., & Shrestha, A. (2016). Ecosystem visualization and analysis of Chinese prefabricated housing industry. Procedia Engineering, 145, pp. 436–443. JiangR. WuC. MaoC. ShresthaA. 2016 Ecosystem visualization and analysis of Chinese prefabricated housing industry Procedia Engineering 145 436 443 10.1016/j.proeng.2016.04.011 Search in Google Scholar

Kaming, P. F., Olomolaiye, P. O., Holt, G. D., & Harris, F. C. (1997). Factors influencing craftsmen’s productivity in Indonesia. International Journal of Project Management, 15(1), pp. 21–30. KamingP. F. OlomolaiyeP. O. HoltG. D. HarrisF. C. 1997 Factors influencing craftsmen’s productivity in Indonesia International Journal of Project Management 15 1 21 30 10.1016/S0263-7863(96)00019-1 Search in Google Scholar

Khodeir, L. M., & Othman, R. (2016). Examining the interaction between lean and sustainability principles in the management process of AEC industry. Ain Shams Engineering Journal, 9(4), 1627–1634. KhodeirL. M. OthmanR. 2016 Examining the interaction between lean and sustainability principles in the management process of AEC industry Ain Shams Engineering Journal 9 4 1627 1634 10.1016/j.asej.2016.12.005 Search in Google Scholar

Kishan, P. (2014). A study of risk factors affecting building construction projects. International Journal of Engineering Research and Technology, 3(12), pp. 831–835. KishanP. 2014 A study of risk factors affecting building construction projects International Journal of Engineering Research and Technology 3 12 831 835 Search in Google Scholar

Kwon, S., Lee, G., Ahn, D., & Park, H. (2014). A modified-AHP method of productivity analysis for deployment of innovative construction tools on construction site. Journal of Construction Engineering and Project Management, 4(1), pp. 45–50. KwonS. LeeG. AhnD. ParkH. 2014 A modified-AHP method of productivity analysis for deployment of innovative construction tools on construction site Journal of Construction Engineering and Project Management 4 1 45 50 10.6106/JCEPM.2014.4.1.045 Search in Google Scholar

Lee, E.-B., Lee, H., & Ibbs, C. W. (2007). Productivity aspects of urban freeway rehabilitation with accelerated construction. Journal of Construction Engineering and Management, 133(10), pp. 798–806. LeeE.-B. LeeH. IbbsC. W. 2007 Productivity aspects of urban freeway rehabilitation with accelerated construction Journal of Construction Engineering and Management 133 10 798 806 10.1061/(ASCE)0733-9364(2007)133:10(798) Search in Google Scholar

Lim, E. C., & Alum, J. (1995). Construction productivity: Issues encountered by contractors in Singapore. International Journal of Project Management, 13(1), pp. 51–58. LimE. C. AlumJ. 1995 Construction productivity: Issues encountered by contractors in Singapore International Journal of Project Management 13 1 51 58 10.1016/0263-7863(95)95704-H Search in Google Scholar

Ma, G., Gu, L., & Li, N. (2015). Scenario based proactive robust optimization for critical chain project scheduling. Journal of Construction Engineering & Management, 141(10), pp. 1–12. MaG. GuL. LiN. 2015 Scenario based proactive robust optimization for critical chain project scheduling Journal of Construction Engineering & Management 141 10 1 12 10.1061/(ASCE)CO.1943-7862.0001003 Search in Google Scholar

Ma, L., & Liu, C. (2014). Did the late-2000s financial crisis influence construction labour productivity? Construction Management and Economics, 32(10), pp. 1030–1047. MaL. LiuC. 2014 Did the late-2000s financial crisis influence construction labour productivity? Construction Management and Economics 32 10 1030 1047 10.1080/01446193.2014.944927 Search in Google Scholar

Ma, L., & Liu, C. (2018). Decomposition of temporal changes in construction labour productivity. International Journal of Construction Management, 18(1), pp. 65–77. MaL. LiuC. 2018 Decomposition of temporal changes in construction labour productivity International Journal of Construction Management 18 1 65 77 10.1080/15623599.2016.1258755 Search in Google Scholar

Ma, L., Liu, C., & Mills, A. (2016). Construction labor productivity convergence: A conditional frontier approach. Engineering, Construction and Architectural Management, 23(3), pp. 283–301. MaL. LiuC. MillsA. 2016 Construction labor productivity convergence: A conditional frontier approach Engineering, Construction and Architectural Management 23 3 283 301 10.1108/ECAM-03-2015-0040 Search in Google Scholar

Mahamid, I. (2013). Contractors perspective toward factors affecting labor productivity in building construction. Engineering, Construction and Architectural Management, 20(5), pp. 446–460. MahamidI. 2013 Contractors perspective toward factors affecting labor productivity in building construction Engineering, Construction and Architectural Management 20 5 446 460 10.1108/ECAM-08-2011-0074 Search in Google Scholar

Mani, N., Kisi, K. P., Rojas, E. M., & Foster, E. T. (2017). Estimating construction labor productivity frontier: Pilot study. Journal of Construction Engineering and Management, 143(10), p. 04017077. ManiN. KisiK. P. RojasE. M. FosterE. T. 2017 Estimating construction labor productivity frontier: Pilot study Journal of Construction Engineering and Management 143 10 04017077 10.1061/(ASCE)CO.1943-7862.0001390 Search in Google Scholar

Molavi, J., & Barral, D. L. (2016). A construction procurement method to achieve sustainability in modular construction. Procedia Engineering, 145, pp. 1362–1369. MolaviJ. BarralD. L. 2016 A construction procurement method to achieve sustainability in modular construction Procedia Engineering 145 1362 1369 10.1016/j.proeng.2016.04.201 Search in Google Scholar

Moselhi, O., & Khan, Z. (2010). Analysis of labour productivity of formwork operations in building construction. Construction Innovations, 10(3), pp. 286–303. MoselhiO. KhanZ. 2010 Analysis of labour productivity of formwork operations in building construction Construction Innovations 10 3 286 303 10.1108/14714171011060088 Search in Google Scholar

Neelamkavil, J. (2009). Automation in the prefab and modular construction industry. In: International Symposium on Automation and Robotics in Construction ISARC 2009, Austin, TX, June 24–27, 2009, pp. 24–27. NeelamkavilJ. 2009 Automation in the prefab and modular construction industry In: International Symposium on Automation and Robotics in Construction ISARC 2009 Austin, TX June 24–27, 2009 24 27 10.22260/ISARC2009/0018 Search in Google Scholar

Nguyen, T. P., & Chileshe, N. (2015). Revisiting the construction project failure factors in Vietnam. Built Environment Project and Asset Management, 5(4), pp. 398–416. NguyenT. P. ChilesheN. 2015 Revisiting the construction project failure factors in Vietnam Built Environment Project and Asset Management 5 4 398 416 10.1108/BEPAM-10-2013-0042 Search in Google Scholar

Ocampo, L. A., & Clark, E. E. (2015). A sustainable manufacturing strategy framework: The convergence of two fields. Asian Academy of Management Journal, 20(2), pp. 29–57. OcampoL. A. ClarkE. E. 2015 A sustainable manufacturing strategy framework: The convergence of two fields Asian Academy of Management Journal 20 2 29 57 Search in Google Scholar

Oglesby, C. H., Parker, H. W., & Howell, G. A. (1989). Productivity improvement in construction. Journal of Construction Engineering and Management, 111. p. 1. OglesbyC. H. ParkerH. W. HowellG. A. 1989 Productivity improvement in construction Journal of Construction Engineering and Management 111 1 Search in Google Scholar

Ok, S. C., & Sinha, S. K. (2006). Construction equipment productivity estimation using artificial neural network model. Construction Management and Economics, 24(10), pp. 1029–1044. OkS. C. SinhaS. K. 2006 Construction equipment productivity estimation using artificial neural network model Construction Management and Economics 24 10 1029 1044 10.1080/01446190600851033 Search in Google Scholar

Poirier, E. A., Staub-French, S., & Forgues, D. (2015). Measuring the impact of BIM on labor productivity in a small specialty contracting enterprise through action-research. Automation in Construction, 58, pp. 74–84. PoirierE. A. Staub-FrenchS. ForguesD. 2015 Measuring the impact of BIM on labor productivity in a small specialty contracting enterprise through action-research Automation in Construction 58 74 84 10.1016/j.autcon.2015.07.002 Search in Google Scholar

Rezakhani, P. (2012). Classifying key risk factors in construction projects. Bulletin of the Polytechnic Institute of Jassy, Constructions. Architecture Section, 62(2), pp. 27–38. RezakhaniP. 2012 Classifying key risk factors in construction projects Bulletin of the Polytechnic Institute of Jassy, Constructions. Architecture Section 62 2 27 38 Search in Google Scholar

Safa, M., Cardenas, J. G., Leblanc, D. G., Rose, D., & Shahi, A. (2016). Improving construction labor productivity using automatic rebar tying gun. In: 33rd International Symposium on Automation and Robotics in Construction (ISARC 2016), Auburn, Alabama, USA, 18–21 July 2016, pp. 1–5. SafaM. CardenasJ. G. LeblancD. G. RoseD. ShahiA. 2016 Improving construction labor productivity using automatic rebar tying gun In: 33rd International Symposium on Automation and Robotics in Construction (ISARC 2016) Auburn, Alabama, USA 18–21 July 2016 1 5 10.22260/ISARC2016/0019 Search in Google Scholar

Santosh, V., & Apte, M. R. (2014). Productivity in building construction. Journal of Mechanical and Civil Engineering, 10(5), pp. 64–71. SantoshV. ApteM. R. 2014 Productivity in building construction Journal of Mechanical and Civil Engineering 10 5 64 71 10.9790/1684-1056471 Search in Google Scholar

Sezer, A. A., & Bröchner, J. (2014). The construction productivity debate and the measurement of service qualities. Construction Management and Economics, 32(6), pp. 565–574. SezerA. A. BröchnerJ. 2014 The construction productivity debate and the measurement of service qualities Construction Management and Economics 32 6 565 574 10.1080/01446193.2013.831464 Search in Google Scholar

Svejvig, P., & Andersen, P. (2015). Rethinking project management: A structured literature review with a critical look at the brave new world. International Journal of Project Management, 33(2), pp. 278–290. SvejvigP. AndersenP. 2015 Rethinking project management: A structured literature review with a critical look at the brave new world International Journal of Project Management 33 2 278 290 10.1016/j.ijproman.2014.06.004 Search in Google Scholar

Sweis, G. J., Hiyassat, M., & Al-Hroub, F. F. (2016). Assessing lean conformance by first-grade contractors in the Jordanian construction industry. Construction Innovation, 16(4), pp. 446–459. SweisG. J. HiyassatM. Al-HroubF. F. 2016 Assessing lean conformance by first-grade contractors in the Jordanian construction industry Construction Innovation 16 4 446 459 10.1108/CI-04-2015-0024 Search in Google Scholar

Teizer, J., Cheng, T., & Fang, Y. (2013). Location tracking and data visualization technology to advance construction ironworkers’ education and training in safety and productivity. Automation in Construction, 35(July 2015), pp. 53–68. TeizerJ. ChengT. FangY. 2013 Location tracking and data visualization technology to advance construction ironworkers’ education and training in safety and productivity Automation in Construction 35 July 2015 53 68 10.1016/j.autcon.2013.03.004 Search in Google Scholar

Tsehayae, A. A., & Fayek, A. R. (2016). System model for analysing construction labour productivity. Construction Innovations, 16(2), pp. 203–228. TsehayaeA. A. FayekA. R. 2016 System model for analysing construction labour productivity Construction Innovations 16 2 203 228 10.1108/CI-07-2015-0040 Search in Google Scholar

Wang, X., Chen, Y., Liu, B., Shen, Y., & Sun, H. (2013). A total factor productivity measure for the construction industry and analysis of its spatial difference: A case study in China. Construction Management and Economics, 31(10), pp. 1059–1071. WangX. ChenY. LiuB. ShenY. SunH. 2013 A total factor productivity measure for the construction industry and analysis of its spatial difference: A case study in China Construction Management and Economics 31 10 1059 1071 10.1080/01446193.2013.826371 Search in Google Scholar

Xu, G., Li, M., Chen, C. H., & Wei, Y. (2018). Cloud asset-enabled integrated IoT platform for lean prefabricated construction. Automation in Construction, 93(September 2017), pp. 123–134. XuG. LiM. ChenC. H. WeiY. 2018 Cloud asset-enabled integrated IoT platform for lean prefabricated construction Automation in Construction 93 September 2017 123 134 10.1016/j.autcon.2018.05.012 Search in Google Scholar

Zhang, L., & Chen, X. (2016). Role of lean tools in supporting knowledge creation and performance in lean construction. Procedia Engineering, 145, pp. 1267–1274. ZhangL. ChenX. 2016 Role of lean tools in supporting knowledge creation and performance in lean construction Procedia Engineering 145 1267 1274 10.1016/j.proeng.2016.04.163 Search in Google Scholar

Zhang, L., & Fan, W. (2013). Improving performance of construction projects. Engineering, Construction and Architectural Management, 20(2), pp. 195–207. ZhangL. FanW. 2013 Improving performance of construction projects Engineering, Construction and Architectural Management 20 2 195 207 10.1108/09699981311303044 Search in Google Scholar

Zouher Al-Sibaie, E., Mohammed Alashwal, A., Abdul-Rahman, H., & Kalsum Zolkafli, U. (2014). Determining the relationship between conflict factors and performance of international construction projects. Engineering, Construction and Architectural Management, 21(4), pp. 369–382. Zouher Al-SibaieE. Mohammed AlashwalA. Abdul-RahmanH. Kalsum ZolkafliU. 2014 Determining the relationship between conflict factors and performance of international construction projects Engineering, Construction and Architectural Management 21 4 369 382 10.1108/ECAM-03-2014-0034 Search in Google Scholar