915
Views
7
CrossRef citations to date
0
Altmetric
Articles

Twenty-year application of logistics and supply chain management in the construction industry

ORCID Icon & ORCID Icon
Pages 796-834 | Received 23 Sep 2021, Accepted 02 Aug 2022, Published online: 18 Aug 2022

References

  • Abidin, N.A.Z., and Ingirige, B., 2018. The dynamics of vulnerabilities and capabilities in improving resilience within Malaysian construction supply chain. Construction innovation, 18 (4), 412–432. https://doi.org/10.1108/CI-09-2017-0079
  • Ahmed, M., Thaheem, M.J., and Maqsoom, A., 2020. Barriers and opportunities to greening the construction supply chain management: cause-driven implementation strategies for developing countries. Benchmarking, 27 (3), 1211–1237. https://doi.org/10.1108/BIJ-04-2019-0192
  • Aidonis, D., et al., 2008. An analytical methodological framework for managing reverse supply chains in the construction industry. WSEAS transactions on environment and development, 4 (11), 1036–1046.
  • Akanmu, A., et al., 2016. Auto-generated site layout: an integrated approach to real-time sensing of temporary facilities in infrastructure projects. Structure and infrastructure engineering, 12 (10), 1243–1255. https://doi.org/10.1080/15732479.2015.1110601
  • Akintoye, A., McIntosh, G., and Fitzgerald, E., 2000. A survey of supply chain collaboration and management in the UK construction industry. European journal of purchasing & supply management, 6 (3), 159–168. https://doi.org/10.1016/S0969-7012(00)00012-5
  • Ali, Y., et al., 2020. Integration of green supply chain management practices in construction supply chain of CPEC. Management of environmental quality, 31 (1), 185–200. https://doi.org/10.1108/MEQ-12-2018-0211
  • Aloini, D., et al., 2012. Supply chain management: a review of implementation risks in the construction industry. Business process management journal, 18 (5), 735–761. https://doi.org/10.1108/14637151211270135
  • Arashpour, M., et al., 2017. Optimizing decisions in advanced manufacturing of prefabricated products: theorizing supply chain configurations in off-site construction. Automation in construction, 84, 146–153. https://doi.org/10.1016/j.autcon.2017.08.032
  • Babalola, O., Ibem, E.O., and Ezema, I.C., 2019. Implementation of lean practices in the construction industry: a systematic review. Building and environment, 148, 34–43. https://doi.org/10.1016/j.buildenv.2018.10.051
  • Badi, S., and Murtagh, N., 2019. Green supply chain management in construction: a systematic literature review and future research agenda. Journal of cleaner production, 223, 312–322. https://doi.org/10.1016/j.jclepro.2019.03.132
  • Baiden, B.K., Price, A.D.F., and Dainty, A.R.J., 2006. The extent of team integration within construction projects. International journal of project management, 24 (1), 13–23. https://doi.org/10.1016/j.ijproman.2005.05.001
  • Balasubramanian, S., and Shukla, V., 2017a. Green supply chain management: an empirical investigation on the construction sector. Supply chain management, 22 (1), 58–81. https://doi.org/10.1108/SCM-07-2016-0227
  • Balasubramanian, S., and Shukla, V., 2017b. Green supply chain management: the case of the construction sector in the United Arab Emirates (UAE). Production planning & control, 28 (14), 1116–1138. https://doi.org/10.1080/09537287.2017.1341651
  • Balasubramanian, S., and Shukla, V., 2018. Environmental supply chain management in the construction sector: theoretical underpinnings. International journal of logistics research and applications, 21 (5), 502–528. https://doi.org/10.1080/13675567.2018.1452902
  • Bankvall, L., et al., 2010. Interdependence in supply chains and projects in construction. Supply chain management, 15 (5), 385–393. https://doi.org/10.1108/13598541011068314
  • Barker, R., Hong-Minh, S., and Naim, M.M., 2000. The terrain scanning methodology, assessing and improving construction supply chains. European journal of purchasing & supply management, 6 (3), 179–193. https://doi.org/10.1016/S0969-7012(00)00014-9
  • Barlow, J., 2000. Innovation and learning in complex offshore construction projects. Research policy, 29 (7), 973–989. https://doi.org/10.1016/S0048-7333(00)00115-3
  • Batistič, S., Černe, M., and Vogel, B., 2017. Just how multi-level is leadership research? A document co-citation analysis 1980–2013 on leadership constructs and outcomes. The leadership quarterly, 28 (1), 86–103. https://doi.org/10.1016/j.leaqua.2016.10.007
  • Beach, R., Webster, M., and Campbell, K.M., 2005. An evaluation of partnership development in the construction industry. International journal of project management, 23 (8), 611–621. https://doi.org/10.1016/j.ijproman.2005.04.001
  • Behera, P., Mohanty, R.P., and Prakash, A., 2015. Understanding construction supply chain management. Production planning & control, 26 (16), 1332–1350. https://doi.org/10.1080/09537287.2015.1045953
  • Bengtsson, S.H., 2019. Coordinated construction logistics: an innovation perspective. Construction management and economics, 37 (5), 294–307. https://doi.org/10.1080/01446193.2018.1528372
  • Black, C., Akintoye, A., and Fitzgerald, E., 2000. An analysis of success factors and benefits of partnering in construction. International journal of project management, 18 (6), 423–434. https://doi.org/10.1016/S0263-7863(99)00046-0
  • Bohari, A.A.M., et al., 2017. Green oriented procurement for building projects: preliminary findings from Malaysia. Journal of cleaner production, 148, 690–700. https://doi.org/10.1016/j.jclepro.2017.01.141
  • Briscoe, G., Dainty, A.R.J., and Millett, S., 2001. Construction supply chain partnerships: skills, knowledge and attitudinal requirements. European journal of purchasing & supply management, 7 (4), 243–255. https://doi.org/10.1016/S0969-7012(01)00005-3
  • Brown, D.C., et al., 2001. New project procurement process. Journal of management in engineering, 17 (4), 192–201. https://doi.org/10.1061/(ASCE)0742-597X(2001)17:4(192)
  • Burgan, B.A., and Sansom, M.R., 2006. Sustainable steel construction. Journal of constructional steel research, 62 (11), 1178–1183. https://doi.org/10.1016/j.jcsr.2006.06.029
  • Bygballe, L.E., Jahre, M., and Swärd, A., 2010. Partnering relationships in construction: a literature review. Journal of purchasing and supply management, 16 (4), 239–253. https://doi.org/10.1016/j.pursup.2010.08.002
  • Chadegani, A.A., et al., 2013. A comparison between two main academic literature collections: Web of Science and Scopus databases. Asian social science, 9 (5), 18–26. https://doi.org/10.5539/ass.v9n5p18
  • Chan, A.P.C., Chan, D.W.M., and Ho, K.S.K., 2003a. An empirical study of the benefits of construction partnering in Hong Kong. Construction management and economics, 21 (5), 523–533. https://doi.org/10.1080/0144619032000056162
  • Chan, A.P.C., Chan, D.W.M., and Ho, K.S.K., 2003b. Partnering in construction: critical study of problems for implementation. Journal of management in engineering, 19 (3), 126–135. https://doi.org/10.1061/(ASCE)0742-597X(2003)19:3(126)
  • Chan, A.P.C., et al., 2004. Exploring critical success factors for partnering in construction projects. Journal of construction engineering and management, 130 (2), 188–198. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:2(188)
  • Chen, J.-h., & Ma, S.-h. (2008). A dynamic reputation incentive model in construction supply chain. Proceedings of the 15th international conference on management science and engineering, 385– 392.
  • Chen, Q., et al., 2021. Identifying enablers for coordination across construction supply chain processes: a systematic literature review. Engineering, construction and architectural management, 28 (4), 1083–1113. https://doi.org/10.1108/ecam-05-2020-0299
  • Cheng, E.W.L., et al., 2001. An e‐business model to support supply chain activities in construction. Logistics information management, 14 (1/2), 68–78. https://doi.org/10.1108/09576050110363239
  • Cheng, J.C., et al., 2010. A service oriented framework for construction supply chain integration. Automation in construction, 19 (2), 245–260. https://doi.org/10.1016/j.autcon.2009.10.003
  • Chileshe, N., Rameezdeen, R., and Hosseini, M.R., 2016. Drivers for adopting reverse logistics in the construction industry: a qualitative study. Engineering, construction and architectural management, 23 (2), 134–157. https://doi.org/10.1108/ECAM-06-2014-0087
  • Chileshe, N., et al., 2015. Barriers to implementing reverse logistics in South Australian construction organisations. Supply chain management, 20 (2), 179–204. https://doi.org/10.1108/SCM-10-2014-0325
  • Chileshe, N., et al., 2016. Analysis of reverse logistics implementation practices by South Australian construction organisations. International journal of operations & production management, 36 (3), 332–356. https://doi.org/10.1108/IJOPM-01-2014-0024
  • Chinda, T., and Ammarapala, V., 2016. Decision-making on reverse logistics in the construction industry. Songklanakarin journal of science & technology, 38 (1), 7–14. https://doi.org/10.14456/sjst-psu.2016.2
  • Chileshe, N., et al., 2018. Factors driving the implementation of reverse logistics: a quantified model for the construction industry. Waste management, 79, 48–57. https://doi.org/10.1016/j.wasman.2018.07.013
  • Costa, F., et al., 2019. Understanding relative importance of barriers to improving the customer–supplier relationship within construction supply chains using DEMATEL technique. Journal of management in engineering, 35 (3), 04019002. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000680
  • Dainty, A.R.J., Millett, S.J., and Briscoe, G.H., 2001. New perspectives on construction supply chain integration. Supply chain management, 6 (4), 163–173. https://doi.org/10.1108/13598540110402700
  • Dainty, A.R.J., Moore, D., and Murray, M., 2006. Communication in construction: theory and practice. London: Routledge.
  • Dallasega, P., Rauch, E., and Linder, C., 2018. Industry 4.0 as an enabler of proximity for construction supply chains: a systematic literature review. Computers in industry, 99, 205–225. https://doi.org/10.1016/j.compind.2018.03.039
  • Dash, G., and Paul, J., 2021. CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological forecasting and social change, 173, 121092. https://doi.org/10.1016/j.techfore.2021.121092
  • Demiralp, G., Guven, G., and Ergen, E., 2012. Analyzing the benefits of RFID technology for cost sharing in construction supply chains: a case study on prefabricated precast components. Automation in construction, 24, 120–129. https://doi.org/10.1016/j.autcon.2012.02.005
  • Deng, Y., et al., 2019. Integrating 4D BIM and GIS for construction supply chain management. Journal of construction engineering and management, 145 (4), 04019016. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001633
  • Domínguez, R., et al., 2022. Information sharing in decentralised supply chains with partial collaboration. Flexible services and manufacturing journal, 34 (2), 263–292. https://doi.org/10.1007/s10696-021-09405-y
  • Dubois, A., and Gadde, L.-E., 2000. Supply strategy and network effects – purchasing behaviour in the construction industry. European journal of purchasing & supply management, 6 (3), 207–215. https://doi.org/10.1016/S0969-7012(00)00016-2
  • Dubois, A., Hulthén, K., and Sundquist, V., 2019. Organising logistics and transport activities in construction. The international journal of logistics management, 30 (2), 620–640. https://doi.org/10.1108/IJLM-12-2017-0325
  • Dunn, T.J., Baguley, T., and Brunsden, V., 2014. From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. British journal of psychology, 105 (3), 399–412. https://doi.org/10.1111/bjop.12046
  • Durach, C.F., Kembro, J., and Wieland, A., 2017. A new paradigm for systematic literature reviews in supply chain management. Journal of supply chain management, 53 (4), 67–85. https://doi.org/10.1111/jscm.12145
  • Durdyev, S., et al., 2018. A partial least squares structural equation modeling (PLS-SEM) of barriers to sustainable construction in Malaysia. Journal of cleaner production, 204, 564–572. https://doi.org/10.1016/j.jclepro.2018.08.304
  • Easa, S.M., and Hossain, K.M.A., 2008. New mathematical optimization model for construction site layout. Journal of construction engineering and management, 134 (8), 653–662. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:8(653)
  • Ekanayake, E.M.A.C., et al., 2022. Identifying supply chain vulnerabilities in industrialized construction: an overview. International journal of construction management, 22 (8), 1464–1477. https://doi.org/10.1080/15623599.2020.1728487
  • Ekeskär, A., and Rudberg, M., 2016. Third-party logistics in construction: the case of a large hospital project. Construction management and economics, 34 (3), 174–191. https://doi.org/10.1080/01446193.2016.1186809
  • El-adaway, I.H., et al., 2019. Analytic overview of citation metrics in the civil engineering domain with focus on construction engineering and management specialty area and its subdisciplines. Journal of construction engineering and management, 145 (10), 04019060. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001705
  • Elbeltagi, E., and Hegazy, T., 2001. A hybrid AI-based system for site layout planning in construction. Computer-aided civil and infrastructure engineering, 16 (2), 79–93. https://doi.org/10.1111/0885-9507.00215
  • Elbeltagi, E., Hegazy, T., and Eldosouky, A., 2004. Dynamic layout of construction temporary facilities considering safety. Journal of construction engineering and management, 130 (4), 534–541. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:4(534)
  • Elbeltagi, E., et al., 2001. Schedule-dependent evolution of site layout planning. Construction management and economics, 19 (7), 689–697. https://doi.org/10.1080/01446190110066713
  • El-Rayes, K., and Khalafallah, A., 2005. Trade-off between safety and cost in planning construction site layouts. Journal of construction engineering and management, 131 (11), 1186–1195. https://doi.org/10.1061/(asce)0733-9364(2005)131:11(1186)
  • El-Rayes, K., and Said, H., 2009. Dynamic site layout planning using approximate dynamic programming. Journal of computing in civil engineering, 23 (2), 119–127. https://doi.org/10.1061/(ASCE)0887-3801(2009)23:2(119)
  • Eriksson, P.E., 2010. Improving construction supply chain collaboration and performance: a lean construction pilot project. Supply Chain Management, 15 (5), 394–403. https://doi.org/10.1108/13598541011068323
  • Eriksson, P.E., and Laan, A., 2007. Procurement effects on trust and control in client-contractor relationships. Engineering, construction and architectural management, 14 (4), 387–399. https://doi.org/10.1108/09699980710760694
  • Eriksson, P.E., and Nilsson, T., 2008. Partnering the construction of a Swedish pharmaceutical plant: case study. Journal of management in engineering, 24 (4), 227–233. https://doi.org/10.1061/(ASCE)0742-597X(2008)24:4(227)
  • Eriksson, P.E., and Pesämaa, O., 2007. Modelling procurement effects on cooperation. Construction management and economics, 25 (8), 893–901. https://doi.org/10.1080/01446190701468844
  • Eriksson, P.E., and Westerberg, M., 2011. Effects of cooperative procurement procedures on construction project performance: a conceptual framework. International journal of project management, 29 (2), 197–208. https://doi.org/10.1016/j.ijproman.2010.01.003
  • Eriksson, P.E., Nilsson, T., and Atkin, B., 2008. Client perceptions of barriers to partnering. Engineering, construction and architectural management, 15 (6), 527–539. https://doi.org/10.1108/09699980810916979
  • Errasti, A., et al., 2007. A process for developing partnerships with subcontractors in the construction industry: an empirical study. International journal of project management, 25 (3), 250–256. https://doi.org/10.1016/j.ijproman.2006.10.002
  • Fahimnia, B., et al., 2019. Behavioral operations and supply chain management – a review and literature mapping. Decision sciences, 50 (6), 1127–1183. https://doi.org/10.1111/deci.12369
  • Fearne, A., and Fowler, N., 2006. Efficiency versus effectiveness in construction supply chains: the dangers of “lean” thinking in isolation. Supply chain management, 11 (4), 283–287. https://doi.org/10.1108/13598540610671725
  • Feng, Y., Zhu, Q., and Lai, K.-H., 2017. Corporate social responsibility for supply chain management: a literature review and bibliometric analysis. Journal of cleaner production, 158, 296–307. https://doi.org/10.1016/j.jclepro.2017.05.018
  • Fernie, S., and Thorpe, A., 2007. Exploring change in construction: supply chain management. Engineering, construction and architectural management, 14 (4), 319–333. https://doi.org/10.1108/09699980710760649
  • Fornell, C., and Larcker, D.F., 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18 (1), 39–50. https://doi.org/10.1177/002224378101800104
  • Fortune, C., and Setiawan, S., 2005. Partnering practice and the delivery of construction projects for housing associations in the UK. Engineering, construction and architectural management, 12 (2), 181–193. https://doi.org/10.1108/09699980510584511
  • Gadde, L.-E., and Dubois, A., 2010. Partnering in the construction industry – problems and opportunities. Journal of purchasing and supply management, 16 (4), 254–263. https://doi.org/10.1016/j.pursup.2010.09.002
  • Gan, V.J.L., and Cheng, J.C.P., 2015. Formulation and analysis of dynamic supply chain of backfill in construction waste management using agent-based modeling. Advanced engineering informatics, 29 (4), 878–888. https://doi.org/10.1016/j.aei.2015.01.004
  • Georgy, M., and Basily, S.Y., 2008. Using genetic algorithms in optimizing construction material delivery schedules. Construction innovation, 8 (1), 23–45. https://doi.org/10.1108/14714170810846503
  • Glock, C.H., et al., 2019. Applications of learning curves in production and operations management: a systematic literature review. Computers & industrial engineering, 131, 422–441. https://doi.org/10.1016/j.cie.2018.10.030
  • Halaweh, M., 2018. Paper Impact Effectiveness (PIE): a new way to measure the impact of research papers. Procedia computer science, 132, 404–411. https://doi.org/10.1016/j.procs.2018.05.163
  • Hammad, A.W.A., 2020. A multi-objective construction site layout planning problem solved through integration of location and traffic assignment models. Construction management and economics, 38 (8), 756–772. https://doi.org/10.1080/01446193.2019.1659510
  • Hammad, A.W.A., Akbarnezhad, A., and Rey, D., 2016. A multi-objective mixed integer nonlinear programming model for construction site layout planning to minimise noise pollution and transport costs. Automation in construction, 61, 73–85. https://doi.org/10.1016/j.autcon.2015.10.010
  • Hammes, G., et al., 2020. Evaluation of the reverse logistics performance in civil construction. Journal of cleaner production, 248, 119212. https://doi.org/10.1016/j.jclepro.2019.119212
  • Hartmann, A., and Caerteling, J., 2010. Subcontractor procurement in construction: the interplay of price and trust. Supply chain management, 15 (5), 354–362. https://doi.org/10.1108/13598541011068288
  • Hong-Minh, S.M., Barker, R., and Naim, M.M., 2001. Identifying supply chain solutions in the UK house building sector. European journal of purchasing & supply management, 7 (1), 49–59. https://doi.org/10.1016/S0969-7012(00)00009-5
  • Hosseini, M.R., et al., 2014. Reverse logistics for the construction industry: lessons from the manufacturing context. International journal of construction engineering and management, 3 (3), 75–90. https://doi.org/10.5923/j.ijcem.20140303.01
  • Hosseini, M.R., et al., 2015. Reverse logistics in the construction industry. Waste management & research, 33 (6), 499–514. https://doi.org/10.1177/0734242X15584842
  • Humphreys, P., Matthews, J., and Kumaraswamy, M., 2003. Pre-construction project partnering: from adversarial to collaborative relationships. Supply chain management, 8 (2), 166–178. https://doi.org/10.1108/13598540310468760
  • Ikeziri, L.M., et al., 2019. Theory of constraints: review and bibliometric analysis. International journal of production research, 57 (15–16), 5068–5102. https://doi.org/10.1080/00207543.2018.1518602
  • Im, K.S., et al., 2009. Formulation of a pull production system for optimal inventory control of temporary rebar assembly plants. Canadian journal of civil engineering, 36 (9), 1444–1458. https://doi.org/10.1139/L09-072
  • Isatto, E.L., Azambuja, M., and Formoso, C.T., 2015. The role of commitments in the management of construction make-to-order supply chains. Journal of management in engineering, 31 (4), e04014053. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000253
  • Jagtap, M., and Kamble, S., 2020. The effect of the client–contractor relationship on project performance. International journal of productivity and performance management, 69 (3), 541–558. https://doi.org/10.1108/IJPPM-05-2018-0205
  • Jaillon, L., and Poon, C.S., 2008. Sustainable construction aspects of using prefabrication in dense urban environment: a Hong Kong case study. Construction management and economics, 26 (9), 953–966. https://doi.org/10.1080/01446190802259043
  • Jaselskis, E.J., and El-Misalami, T., 2003. Implementing radio frequency identification in the construction process. Journal of construction engineering and management, 129 (6), 680–688. https://doi.org/10.1061/(ASCE)0733-9364(2003)129:6(680)
  • Jaśkowski, P., Sobotka, A., and Czarnigowska, A., 2018. Decision model for planning material supply channels in construction. Automation in construction, 90, 235–242. https://doi.org/10.1016/j.autcon.2018.02.026
  • Kadefors, A., Björlingson, E., and Karlsson, A., 2007. Procuring service innovations: contractor selection for partnering projects. International journal of project management, 25 (4), 375–385. https://doi.org/10.1016/j.ijproman.2007.01.003
  • Kesidou, S., and Sovacool, B.K., 2019. Supply chain integration for low-carbon buildings: a critical interdisciplinary review. Renewable and sustainable energy reviews, 113, 109274. https://doi.org/10.1016/j.rser.2019.109274
  • Khalfan, M.M.A., et al., 2001. Readiness assessment of the construction supply chain for concurrent engineering. European journal of purchasing & supply management, 7 (2), 141–153. https://doi.org/10.1016/S0969-7012(00)00023-X
  • Khan, I., et al., 2020. Variable weighting in fuzzy k-means clustering to determine the number of clusters. IEEE transactions on knowledge and data engineering, 32 (9), 1838–1853. https://doi.org/10.1109/TKDE.2019.2911582
  • Kim, S.-Y., and Nguyen, V.T., 2018. A Structural model for the impact of supply chain relationship traits on project performance in construction. Production planning & control, 29 (2), 170–183. https://doi.org/10.1080/09537287.2017.1398846
  • Koolwijk, J.S.J., et al., 2018. Collaboration and integration in project-based supply chains in the construction industry. Journal of management in engineering, 34 (3), e04018001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000592
  • Kruskal, J.B., 1964. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 29 (1), 1–27. https://doi.org/10.1007/BF02289565
  • Kumar, S.S., and Cheng, J.C.P., 2015. A BIM-based automated site layout planning framework for congested construction sites. Automation in construction, 59, 24–37. https://doi.org/10.1016/j.autcon.2015.07.008
  • Kumaraswamy, M.M., and Matthews, J.D., 2000. Improved subcontractor selection employing partnering principles. Journal of management in engineering, 16 (3), 47–57. https://doi.org/10.1061/(ASCE)0742-597X(2000)16:3(47)
  • Kwan, A.Y., and Ofori, G., 2001. Chinese culture and successful implementation of partnering in Singapore’s construction industry. Construction management and economics, 19 (6), 619–632. https://doi.org/10.1080/01446190110062087
  • Lam, K.-C., Ning, X., and Ng, T., 2007. The application of the ant colony optimization algorithm to the construction site layout planning problem. Construction management and economics, 25 (4), 359–374. https://doi.org/10.1080/01446190600972870
  • Le, P.L., Chaabane, A., and Dao, T.-M., 2019. BIM contributions to construction supply chain management trends: an exploratory study in Canada. International journal of construction management, 22 (1), 66–84. https://doi.org/10.1080/15623599.2019.1639124
  • Le, P.L., Dao, T.-M., and Chaabane, A., 2019. BIM-based framework for temporary facility layout planning in construction site: a hybrid approach. Construction innovation, 19 (3), 424–464. https://doi.org/10.1108/CI-06-2018-0052
  • Le, P.L., et al., 2020. Present focuses and future directions of decision-making in construction supply chain management: a systematic review. International journal of construction management, 20 (5), 490–509. https://doi.org/10.1080/15623599.2018.1488089
  • Le, P.L., et al., 2021. Integrated construction supply chain: an optimal decision-making model with third-party logistics partnership. Construction management and economics, 39 (2), 133–155. https://doi.org/10.1080/01446193.2020.1831037
  • Li, H., and Love, P.E.D., 2000. Genetic search for solving construction site-level unequal-area facility layout problems. Automation in construction, 9 (2), 217–226. https://doi.org/10.1016/S0926-5805(99)00006-0
  • Lindén, S., and Josephson, P.E., 2013. In‐housing or out‐sourcing on‐site materials handling in housing? Journal of engineering, design and technology, 11 (1), 90–106. https://doi.org/10.1108/17260531311309152
  • Liu, D., et al., 2020. Real-time optimization of precast concrete component transportation and storage. Advances in civil engineering, 2020, 5714910. https://doi.org/10.1155/2020/5714910
  • Liu, J., and Lu, M., 2018. Constraint programming approach to optimizing project schedules under material logistics and crew availability constraints. Journal of Construction Engineering and Management. 144 (7), e04018049. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001507
  • Liu, Y., Dong, J., and Shen, L., 2020. A conceptual development framework for prefabricated construction supply chain management: an integrated overview. Sustainability, 12 (5), 1878. https://doi.org/10.3390/su12051878
  • London, K.A., and Kenley, R., 2001. An industrial organization economic supply chain approach for the construction industry: a review. Construction management and economics, 19 (8), 777–788. https://doi.org/10.1080/01446190110081699
  • London, K., and Pablo, Z., 2017. An actor–network theory approach to developing an expanded conceptualization of collaboration in industrialized building housing construction. Construction management and economics, 35 (8–9), 553–577. https://doi.org/10.1080/01446193.2017.1339361
  • London, K., and Singh, V., 2013. Integrated construction supply chain design and delivery solutions. Architectural engineering and design management, 9 (3), 135–157. https://doi.org/10.1080/17452007.2012.684451
  • Love, P.E.D., 2002. Influence of project type and procurement method on rework costs in building construction projects. Journal of construction engineering and management, 128 (1), 18–29. https://doi.org/10.1061/(ASCE)0733-9364(2002)128:1(18)
  • Love, P.E.D., Irani, Z., and Edwards, D.J., 2004. A seamless supply chain management model for construction. Supply chain management, 9 (1), 43–56. https://doi.org/10.1108/13598540410517575
  • Lu, S., and Yan, H., 2007. A model for evaluating the applicability of partnering in construction. International journal of project management, 25 (2), 164–170. https://doi.org/10.1016/j.ijproman.2006.09.009
  • Luo, L., et al., 2019. Stakeholder-associated supply chain risks and their interactions in a prefabricated building project in Hong Kong. Journal of Management in Engineering, 35 (2), e05018015. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000675
  • Luo, L., et al., 2020. Supply chain management for prefabricated building projects in Hong Kong. Journal of management in engineering, 36 (2), e05020001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000739
  • Martins, C.L., and Pato, M.V., 2019. Supply chain sustainability: a tertiary literature review. Journal of cleaner production, 225, 995–1016. https://doi.org/10.1016/j.jclepro.2019.03.250
  • Meng, X., 2012. The effect of relationship management on project performance in construction. International journal of project management, 30 (2), 188–198. https://doi.org/10.1016/j.ijproman.2011.04.002
  • Meng, X., 2010. Assessment framework for construction supply chain relationships: development and evaluation. International journal of project management, 28 (7), 695–707. https://doi.org/10.1016/j.ijproman.2009.12.006
  • Meng, X., 2019. Lean management in the context of construction supply chains. International journal of production research, 57 (11), 3784–3798. https://doi.org/10.1080/00207543.2019.1566659
  • Mentzer, J.T., et al., 2001. Defining supply chain management. Journal of business logistics, 22 (2), 1–25. https://doi.org/10.1002/j.2158-1592.2001.tb00001.x
  • Min, J.U., and Bjornsson, H.C., 2008. Agent-based construction supply chain simulator (CS2) for measuring the value of real-time information sharing in construction. Journal of management in engineering, 24 (4), 245–254. https://doi.org/10.1061/(ASCE)0742-597X(2008)24:4(245)
  • Min, S., Zacharia, Z.G., and Smith, C.D., 2019. Defining supply chain management: in the past, present, and future. Journal of business logistics, 40 (1), 44–55. https://doi.org/10.1111/jbl.12201
  • Naoum, S., 2003. An overview into the concept of partnering. International journal of project management, 21 (1), 71–76. https://doi.org/10.1016/S0263-7863(01)00059-X
  • Ng, S.T., et al., 2002. Problematic issues associated with project partnering – the contractor perspective. International journal of project management, 20 (6), 437–449. https://doi.org/10.1016/S0263-7863(01)00025-4
  • Nguyen, D.T., Adulyasak, Y., and Landry, S., 2021a. Research manuscript: the bullwhip effect in rule-based supply chain planning systems – a case-based simulation at a hard goods retailer. Omega, 98, e102121. https://doi.org/10.1016/j.omega.2019.102121
  • Nguyen, D.T., et al., 2021b. Data-driven operations and supply chain management: established research clusters from 2000 to early 2020. International journal of production research, 2021, e1956695. https://doi.org/10.1080/00207543.2021.1956695
  • Ning, X., et al., 2016. A multi-attribute model for construction site layout using intuitionistic fuzzy logic. Automation in construction, 72, 380–387. https://doi.org/10.1016/j.autcon.2016.09.008
  • Ning, X., Lam, K.-C., and Lam, M.C.-K., 2010. Dynamic construction site layout planning using max-min ant system. Automation in construction, 19 (1), 55–65. https://doi.org/10.1016/j.autcon.2009.09.002
  • Niu, Y., et al., 2017. An SCO-enabled logistics and supply chain – management system in construction. Journal of construction engineering and management. 143 (3), e04016103. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001232
  • Nunes, K.R.A., Mahler, C.F., and Valle, R.A., 2009. Reverse logistics in the Brazilian construction industry. Journal of environmental management, 90 (12), 3717–3720. https://doi.org/10.1016/j.jenvman.2008.05.026
  • Oesterreich, T.D., and Teuteberg, F., 2016. Understanding the implications of digitisation and automation in the context of Industry 4.0: a triangulation approach and elements of a research agenda for the construction industry. Computers in industry, 83, 121–139. https://doi.org/10.1016/j.compind.2016.09.006
  • Ofori, G., 2000. Greening the construction supply chain in Singapore. European journal of purchasing & supply management, 6 (3), 195–206. https://doi.org/10.1016/S0969-7012(00)00015-0
  • Osman, H.M., Georgy, M.E., and Ibrahim, M.E., 2003. A hybrid CAD-based construction site layout planning system using genetic algorithms. Automation in construction, 12 (6), 749–764. https://doi.org/10.1016/S0926-5805(03)00058-X
  • Pan, X., Xie, Q., and Feng, Y., 2020. Designing recycling networks for construction and demolition waste based on reserve logistics research field. Journal of cleaner production, 260, 120841. https://doi.org/10.1016/j.jclepro.2020.120841
  • Papadonikolaki, E., and Wamelink, H., 2017. Inter- and intra-organizational conditions for supply chain integration with BIM. Building research & information, 45 (6), 649–664. https://doi.org/10.1080/09613218.2017.1301718
  • Papadonikolaki, E., Vrijhoef, R., and Wamelink, H., 2015. Supply chain integration with BIM: a graph-based model. Structural survey, 33 (3), 257–277. https://doi.org/10.1108/SS-01-2015-0001
  • Papadonikolaki, E., Vrijhoef, R., and Wamelink, H., 2016. The interdependences of BIM and supply chain partnering: empirical explorations. Architectural engineering and design management, 12 (6), 476–494. https://doi.org/10.1080/17452007.2016.1212693
  • Pattanayak, D., and Punyatoya, P., 2020. Effect of supply chain technology internalization and e-procurement on supply chain performance. Business process management journal, 26 (6), 1425–1442. https://doi.org/10.1108/BPMJ-04-2019-0150
  • Pedregosa, F., et al., 2011. Scikit-learn: machine learning in Python. Journal of machine learning research, 12 (85), 2825–2830.
  • Pero, M., et al., 2017. Environmental collaboration for sustainability in the construction industry: an exploratory study in Italy. Sustainability, 9 (1), 125. https://doi.org/10.3390/su9010125
  • Persson, O., Danell, R., and Schneider, J.W., 2009. How to use Bibexcel for various types of bibliometric analysis. Celebrating scholarly communication studies, 5, 9–24.
  • Pesämaa, O., Eriksson, P.E., and Hair, J.F., 2009. Validating a model of cooperative procurement in the construction industry. International journal of project management, 27 (6), 552–559. https://doi.org/10.1016/J.Ijproman.2008.10.007
  • Phua, F.T.T., 2006. When is construction partnering likely to happen? An empirical examination of the role of institutional norms. Construction management and economics, 24 (6), 615–624. https://doi.org/10.1080/01446190500521256
  • Porwal, A., and Hewage, K.N., 2013. Building Information Modeling (BIM) partnering framework for public construction projects. Automation in construction, 31, 204–214. https://doi.org/10.1016/j.autcon.2012.12.004
  • Rahimi, M., and Ghezavati, V., 2018. Sustainable multi-period reverse logistics network design and planning under uncertainty utilizing conditional value at risk (CVaR) for recycling construction and demolition waste. Journal of cleaner production, 172, 1567–1581. https://doi.org/10.1016/j.jclepro.2017.10.240
  • Rahmani, F., Maqsood, T., and Khalfan, M., 2017. An overview of construction procurement methods in Australia. Engineering, construction and architectural management, 24 (4), 593–609. https://doi.org/10.1108/ECAM-03-2016-0058
  • Rameezdeen, R., et al., 2016. A qualitative examination of major barriers in implementation of reverse logistics within the South Australian construction sector. International journal of construction management, 16 (3), 185–196. https://doi.org/10.1080/15623599.2015.1110275
  • Ramos-Rodríguez, A.-R., and Ruíz-Navarro, J., 2004. Changes in the intellectual structure of strategic management research: a bibliometric study of the Strategic Management Journal. strategic management journal, 25 (10), 981–1004. https://doi.org/10.1002/smj.397
  • Rao, S., Iyengar, D., and J. Goldsby, T., 2013. On the measurement and benchmarking of research impact among active logistics scholars. International journal of physical distribution & logistics management, 43 (10), 814–832. https://doi.org/10.1108/ijpdlm-07-2012-0207
  • RazaviAlavi, S., and AbouRizk, S., 2017. Site layout and construction plan optimization using an integrated genetic algorithm simulation framework. Journal of computing in civil engineering, 31 (4), e04017011. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000653
  • Renz, S.M., Carrington, J.M., and Badger, T.A., 2018. Two strategies for qualitative content analysis: an intra method approach to triangulation. Qualitative health research, 28 (5), 824–831. https://doi.org/10.1177/1049732317753586
  • Saad, M., Jones, M., and James, P., 2002. A review of the progress towards the adoption of supply chain management (SCM) relationships in construction. European journal of purchasing & supply management, 8 (3), 173–183. https://doi.org/10.1016/S0969-7012(02)00007-2
  • Sadeghpour, F., Moselhi, O., and Alkass, S.T., 2006. Computer-aided site layout planning. Journal of construction engineering and management, 132 (2), 143–151. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:2(143)
  • Said, H., and El-Rayes, K., 2013. Optimal utilization of interior building spaces for material procurement and storage in congested construction sites. Automation in construction, 31, 292–306. https://doi.org/10.1016/j.autcon.2012.12.010
  • Said, H., and El-Rayes, K., 2014. Automated multi-objective construction logistics optimization system. Automation in construction, 43, 110–122. https://doi.org/10.1016/j.autcon.2014.03.017
  • Samiee, S., and Chabowski, B.R., 2012. Knowledge structure in international marketing: a multi-method bibliometric analysis. Journal of the academy of marketing science, 40 (2), 364–386. https://doi.org/10.1007/s11747-011-0296-8
  • Sanad, H.M., Ammar, M.A., and Ibrahim, M.E., 2008. Optimal construction site layout considering safety and environmental aspects. Journal of construction engineering and management, 134 (7), 536–544. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:7(536)
  • Schamne, A.N., and Nagalli, A., 2016. Reverse logistics in the construction sector: a literature review. Electronic journal of geotechnical engineering, 21 (2), 691–702.
  • Scheffer, M., et al., 2016. Simulation-based analysis of integrated production and Jobsite Logistics in mechanized tunneling. Journal of computing in civil engineering, 30 (5), C4016002. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000584
  • Segerstedt, A., and Olofsson, T., 2010. Supply chains in the construction industry. Supply chain management, 15 (5), 347–353. https://doi.org/10.1108/13598541011068260
  • Sethi, V., and King, W.R., 1994. Development of measures to assess the extent to which an information technology application provides competitive advantage. Management science, 40 (12), 1601–1627. https://doi.org/10.1287/mnsc.40.12.1601
  • Shakantu, W., et al., 2008. Flow modelling of construction site materials and waste logistics: a case study from Cape Town, South Africa. Engineering, construction and architectural management, 15 (5), 423–439. https://doi.org/10.1108/09699980810902721
  • Small, H., 1973. Co-citation in the scientific literature: a new measure of the relationship between two documents. Journal of the American society for information science, 24 (4), 265–269. https://doi.org/10.1002/asi.4630240406
  • Song, X., et al., 2017. A decision making system for construction temporary facilities layout planning in large-scale construction projects. International journal of civil engineering, 15 (2), 333–353. https://doi.org/10.1007/s40999-016-0107-1
  • Song, X., et al., 2018a. Conflict resolution-motivated strategy towards integrated construction site layout and material logistics planning: a bi-stakeholder perspective. Automation in construction, 87, 138–157. https://doi.org/10.1016/j.autcon.2017.12.018
  • Song, P., et al., 2018b. Data analytics and firm performance: an empirical study in an online B2C platform. Information & management, 55 (5), 633–642. https://doi.org/10.1016/j.im.2018.01.004
  • Song, X., et al., 2019. Modelling the effect of multi-stakeholder interactions on construction site layout planning using agent-based decentralized optimization. Automation in construction, 107, 102927. https://doi.org/10.1016/j.autcon.2019.102927
  • Spillane, J.P., and Oyedele, L.O., 2017. Effective material logistics in urban construction sites: a structural equation model. Construction innovation, 17 (4), 406–428. https://doi.org/10.1108/CI-11-2015-0063
  • Sundquist, V., Gadde, L.-E., and Hulthén, K., 2018. Reorganizing construction logistics for improved performance. Construction management and economics, 36 (1), 49–65. https://doi.org/10.1080/01446193.2017.1356931
  • Swanson, D., et al., 2018. An analysis of supply chain management research by topic. Supply chain management, 12 (3), 100–116. https://doi.org/10.1108/SCM-05-2017-0166
  • Thunberg, M., and Fredriksson, A., 2018. Bringing planning back into the picture – how can supply chain planning aid in dealing with supply chain-related problems in construction? Construction management and economics, 36 (8), 425–442. https://doi.org/10.1080/01446193.2017.1394579
  • Thunberg, M., and Persson, F., 2014. Using the SCOR model’s performance measurements to improve construction logistics. Production planning & control, 25 (13–14), 1065–1078. https://doi.org/10.1080/09537287.2013.808836
  • Thurmond, V.A., 2001. The point of triangulation. Journal of nursing scholarship, 33 (3), 253–258. https://doi.org/10.1111/j.1547-5069.2001.00253.x
  • Titus, S., and Bröchner, J., 2005. Managing information flow in construction supply chains. Construction innovation, 5 (2), 71–82. https://doi.org/10.1108/14714170510815186
  • Tranfield, D., Denyer, D., and Smart, P., 2003. Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British journal of management, 14 (3), 207–222. https://doi.org/10.1111/1467-8551.00375
  • Vaidyanathan, K., & Howell, G. (2007). Construction supply chain maturity model–conceptual framework. Proceeding of the 15th annual conference of the international group for lean construction, 170–180.
  • van Eck, N.J., and Waltman, L., 2010. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84 (2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
  • van Eck, N.J., et al., 2010. A comparison of two techniques for bibliometric mapping: multidimensional scaling and VOS. Journal of the American society for information science and technology, 61 (12), 2405–2416. https://doi.org/10.1002/asi.21421
  • van den Berg, M., Voordijk, H., and Adriaanse, A., 2020. Information processing for end-of-life coordination: a multiple-case study. Construction innovation, 20 (4), 647–671. https://doi.org/10.1108/ci-06-2019-0054
  • Varnäs, A., Balfors, B., and Faith-Ell, C., 2009. Environmental consideration in procurement of construction contracts: current practice, problems and opportunities in green procurement in the Swedish construction industry. Journal of cleaner production, 17 (13), 1214–1222. https://doi.org/10.1016/j.jclepro.2009.04.001
  • Venselaar, M., and Gruis, V., 2016. Studying intra-organizational dynamics in implementing supply chain partnering: a case study about work floor experiences in a Dutch housing association. Construction management and economics, 34 (2), 98–109. https://doi.org/10.1080/01446193.2016.1179772
  • Vidalakis, C., Tookey, J.E., and Sommerville, J., 2011. The logistics of construction supply chains: the builders’ merchant perspective. Engineering, construction and architectural management, 18 (1), 66–81. https://doi.org/10.1108/09699981111098694
  • Vrijhoef, R., and Koskela, L., 2000. The four roles of supply chain management in construction. European journal of purchasing & supply management, 6 (3), 169–178. https://doi.org/10.1016/S0969-7012(00)00013-7
  • Wang, J., Liu, J., and Wang, C., 2007. Keyword extraction based on PageRank. Pacific-Asia conference on knowledge discovery and data mining, 2007, 857–864. https://doi.org/10.1007/978-3-540-71701-0_95
  • Wang, N., et al., 2016. Cloud computing research in the IS discipline: a citation/co-citation analysis. Decision support systems, 86, 35–47. https://doi.org/10.1016/j.dss.2016.03.006
  • Wang, Z., Hu, H., and Gong, J., 2018. Simulation based multiple disturbances evaluation in the precast supply chain for improved disturbance prevention. Journal of cleaner production, 177, 232–244. https://doi.org/10.1016/j.jclepro.2017.12.188
  • Wang, Z., Hu, H., and Zhou, W., 2017. RFID enabled knowledge-based precast construction supply chain. Computer-aided civil and infrastructure engineering, 32 (6), 499–514. https://doi.org/10.1111/mice.12254
  • Wang, Z., et al., 2019. Precast supply chain management in off-site construction: a critical literature review. Journal of cleaner production, 232, 1204–1217. https://doi.org/10.1016/j.jclepro.2019.05.229
  • Wang, Z., et al., 2020. Blockchain-based framework for improving supply chain traceability and information sharing in precast construction. Automation in construction, 111, 103063. https://doi.org/10.1016/j.autcon.2019.103063
  • Wibowo, M.A., Handayani, N.U., and Mustikasari, A., 2018. Factors for implementing green supply chain management in the construction industry. Journal of industrial engineering and management, 11 (4), 651–679. https://doi.org/10.3926/jiem.2637
  • Wickramatillake, C.D., et al., 2007. Measuring performance within the supply chain of a large scale project. Supply chain management, 12 (1), 52–59. https://doi.org/10.1108/13598540710724338
  • Wood, G.D., and Ellis, R.C.T., 2005. Main contractor experiences of partnering relationships on UK construction projects. Construction management and economics, 23 (3), 317–325. https://doi.org/10.1080/0144619042000287714
  • Wu, P., and Pheng, L.S., 2014. Barriers to achieving green precast concrete stock management – a survey of current stock management practices in Singapore. International journal of construction management, 14 (2), 78–89. https://doi.org/10.1080/15623599.2014.899126
  • Xie, C., et al., 2010. A case study of multi-team communications in construction design under supply chain partnering. Supply chain management, 15 (5), 363–370. https://doi.org/10.1108/13598541011068279
  • Xu, J., and Li, Z., 2012. Multi-objective dynamic construction site layout planning in Fuzzy random environment. Automation in construction, 27, 155–169. https://doi.org/10.1016/j.autcon.2012.05.017
  • Xu, S., et al., 2020. Disruption risks in supply chain management: a literature review based on bibliometric analysis. International journal of production research, 58 (11), 3508–3526. https://doi.org/10.1080/00207543.2020.1717011
  • Xu, X., et al., 2018. Supply chain finance: a systematic literature review and bibliometric analysis. International journal of production economics, 204, 160–173. https://doi.org/10.1016/j.ijpe.2018.08.003
  • Xue, X., et al., 2005. An agent-based framework for supply chain coordination in construction. Automation in construction, 14 (3), 413–430. https://doi.org/10.1016/j.autcon.2004.08.010
  • Xue, X., et al., 2007. Coordination mechanisms for construction supply chain management in the internet environment. International journal of project management, 25 (2), 150–157. https://doi.org/10.1016/j.ijproman.2006.09.006
  • Yeung, J.F.Y., Chan, A.P.C., and Chan, D.W.M., 2008. Establishing quantitative indicators for measuring the partnering performance of construction projects in Hong Kong. Construction management and economics, 26 (3), 277–301. https://doi.org/10.1080/01446190701793688
  • Yin, S.Y.L., et al., 2009. Developing a precast production management system using RFID technology. Automation in construction, 18 (5), 677–691. https://doi.org/10.1016/j.autcon.2009.02.004
  • Yu, A.T.W., Yevu, S.K., and Nani, G., 2020. Towards an integration framework for promoting electronic procurement and sustainable procurement in the construction industry: a systematic literature re view. Journal of cleaner production, 250, 119493. https://doi.org/10.1016/j.jclepro.2019.119493
  • Yu, W., et al., 2018. Data-driven supply chain capabilities and performance: a resource-based view. Transportation research part E, 114, 371–385. https://doi.org/10.1016/j.tre.2017.04.002
  • Zeng, N., et al., 2018. Investigating the relationship between construction supply chain integration and sustainable use of material: evidence from China. Sustainability, 10 (10), 3581. https://doi.org/10.3390/su10103581
  • Zhai, Y., et al., 2017. Production lead-time hedging and coordination in prefabricated construction supply chain management. International journal of production research, 55 (14), 3984–4002. https://doi.org/10.1080/00207543.2016.1231432
  • Zhai, Y., et al., 2019. Multi-period hedging and coordination in a prefabricated construction supply chain. International journal of production research, 57 (7), 1949–1971. https://doi.org/10.1080/00207543.2018.1512765
  • Zhang, H., and Wang, J.Y., 2008. Particle swarm optimization for construction site unequal-area layout. Journal of construction engineering and management, 134 (9), 739–748. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:9(739)
  • Zhao, H., Zhang, F., and Kwon, J., 2018. Corporate social responsibility research in international business journals: an author co-citation analysis. International business review, 27 (2), 389–400. https://doi.org/10.1016/j.ibusrev.2017.09.006
  • Zupic, I., and Čater, T., 2015. Bibliometric methods in management and organization. Organizational research methods, 18 (3), 429–472. https://doi.org/10.1177/1094428114562629

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.