Identifying critical management activities for off-site construction supply chain coordination: an importance-performance analysis approach
DOI: https://doi.org/10.3846/jcem.2026.25972Abstract
Off-site construction (OSC) offers a transformative path toward faster, cleaner, and more consistent project delivery. Its success, however, depends on strong OSC supply chain coordination (OSC-SCC) across phases. Persistent fragmentation, unclear responsibilities, and reactive risk management continue to disrupt performance and constrain OSC’s scalability. Prior research identifies critical risks, but often treats them in isolation, without a phase-based perspective on how coordination failures unfold or which management actions fall short. This study addresses these gaps by developing a structured, risk-responsive framework for OSC-SCC that (1) identifies critical risk categories and corresponding management activities across project phases; (2) evaluates their perceived importance and actual performance; and (3) clusters these activities to reveal cross-phase coordination gaps and inform targeted improvements. The analysis is grounded in importance-performance analysis, supported by expert surveys. Results reveal persistent underperformance in supplier incentivization, logistics traceability, responsiveness to demand changes, and process standardization. If left unaddressed, these issues cascade across phases, undermining efficiency and amplifying risks. The study contributes a practical tool that helps stakeholders align risk management with OSC’s interdependent workflows. By translating risk insights into actionable, phase-aware strategies, the framework bridges theory and practice, supporting more resilient and scalable adoption of industrial construction.
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offsite construction, supply chain coordination, risk management, Importance-performance analysisHow to Cite
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References
Abalo, J., Varela, J., & Manzano, V. (2007). Importance values for Importance–Performance Analysis: A formula for spreading out values derived from preference rankings. Journal of Business Research, 60(2), 115–121. https://doi.org/10.1016/j.jbusres.2006.10.009
Abdul Nabi, M., & El adaway, I. H. (2021). Understanding the key risks affecting cost and schedule performance of modular construction projects. Journal of Management in Engineering, 37(4), Article 04021023. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000917
Alhawamdeh, M., & Lee, A. (2025). A systematic review and meta synthesis of the barriers of offsite construction projects. International Journal of Construction Management, 25(9), 1087–1099. https://doi.org/10.1080/15623599.2024.2397287
Almatroushi, H., Hariga, M., Asad, R., & Al Bar, A. (2020). The multi resource leveling and materials procurement problem: An integrated approach. Engineering, Construction and Architectural Management, 27(9), 2135–2161. https://doi.org/10.1108/ECAM-10-2019-0563
Arashpour, M., Wakefield, R., Abbasi, B., Lee, E. W. M., & Minas, J. (2016). Off site construction optimization: Sequencing multiple job classes with time constraints. Automation in Construction, 71, 262–270. https://doi.org/10.1016/j.autcon.2016.08.001
Azambuja, M. M., Ponticelli, S., & O’Brien, W. J. (2014). Strategic procurement practices for the industrial supply chain. Journal of Construction Engineering and Management, 140(7), Article 06014005. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000851
Bakhshi, S., Chenaghlou, M. R., Rahimian, F. P., Edwards, D. J., & Dawood, N. (2022). Integrated BIM and DfMA parametric and algorithmic design-based collaboration for supporting client engagement within offsite construction. Automation in Construction, 133, Article 104015. https://doi.org/10.1016/j.autcon.2021.104015
Ballard, G., & Tommelein, I. D. (2021). 2020 current process benchmark for the Last Planner® System of project planning and control (Technical Report). Project Production Systems Laboratory (P2SL), University of California, Berkeley. https://doi.org/10.60164/47e7h7a1b
Cheng, Z., Tang, S., Liu, H., & Lei, Z. (2023). Digital technologies in offsite and prefabricated construction: Theories and applications. Buildings, 13(1), Article 163. https://doi.org/10.3390/buildings13010163
Ekanayake, E. M. A. C., Shen, G. Q., & Kumaraswamy, M. M. (2021). Identifying supply chain capabilities of construction firms in industrialized construction. Production Planning & Control, 32(4), 303–321. https://doi.org/10.1080/09537287.2020.1732494
El Sayegh, S. M., & Mansour, M. H. (2015). Risk assessment and allocation in highway construction projects in the UAE. Journal of Management in Engineering, 31(6), Article 04015004. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000365
Forteza, F. J., Carretero Gómez, J. M., & Sesé, A. (2022). Organizational factors and specific risks on construction sites. Journal of Safety Research, 81, 270–282. https://doi.org/10.1016/j.jsr.2022.03.004
Gurca, A., Bagherzadeh, M., Markovic, S., & Koporcic, N. (2021). Managing the challenges of business-to-business open innovation in complex projects: A multi stage process model. Industrial Marketing Management, 94, 202–215. https://doi.org/10.1016/j.indmarman.2020.05.035
Gurcanli, G. E., Bilir, S., & Sevim, M. (2015). Activity based risk assessment and safety cost estimation for residential building construction projects. Safety Science, 80, 1–12. https://doi.org/10.1016/j.ssci.2015.07.002
Hussein, M., Eltoukhy, A. E., Karam, A., Shaban, I. A., & Zayed, T. (2021). Modelling in off site construction supply chain management: A review and future directions for sustainable modular integrated construction. Journal of Cleaner Production, 310, Article 127503. https://doi.org/10.1016/j.jclepro.2021.127503
Hwang, B. G., Zhao, X., & Gay, M. J. S. (2013). Public private partnership projects in Singapore: Factors, critical risks and preferred risk allocation from the perspective of contractors. International Journal of Project Management, 31(3), 424–433. https://doi.org/10.1016/j.ijproman.2012.08.003
Im, K. S., Han, S. H., Koo, B., & Jung, D. Y. (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
Innella, F., Arashpour, M., & Bai, Y. (2019). Lean methodologies and techniques for modular construction: Chronological and critical review. Journal of Construction Engineering and Management, 145(12), Article 04019076. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001712
Jayawardana, J., Kulatunga, A. K., Jayasinghe, J. A. S. C., Sandanayake, M., & Zhang, G. (2023). Environmental sustainability of off site construction in developed and developing regions: A systematic review. Journal of Architectural Engineering, 29(2), Article 04023008. https://doi.org/10.1061/JAEIED.AEENG-1420
Jeong, J., & Jeong, J. (2022). Quantitative risk evaluation of fatal incidents in construction based on frequency and probability analysis. Journal of Management in Engineering, 38(2), Article 04021089. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000998
Jiang, R., Mao, C., Hou, L., Wu, C., & Tan, J. (2018). A SWOT analysis for promoting off site construction under the backdrop of China’s new urbanization. Journal of Cleaner Production, 173, 225–234. https://doi.org/10.1016/j.jclepro.2017.06.147
Jin, R., Gao, S., Cheshmehzangi, A., & Aboagye Nimo, E. (2018). A holistic review of off site construction literature published between 2008 and 2018. Journal of Cleaner Production, 202, 1202–1219. https://doi.org/10.1016/j.jclepro.2018.08.195
Kim, S. Y., & 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
Kim, T., & Kim, Y. (2022). Reinforcement learning approach to scheduling of precast concrete production. Journal of Cleaner Production, 336, Article 130419. https://doi.org/10.1016/j.jclepro.2022.130419
Kim, Y., & Rhee, B. (2024). Incentive based coordination for scheduled delivery in prefab construction. Construction Management and Economics, 42(7), 624–639. https://doi.org/10.1080/01446193.2024.2305763
Kim, T., Kim, Y., & Cho, H. (2020). Dynamic production scheduling model under due date uncertainty in precast concrete construction. Journal of Cleaner Production, 257, Article 120527. https://doi.org/10.1016/j.jclepro.2020.120527
Kim, T., Kim, Y., & Cho, H. (2021). A simulation based dynamic scheduling model for curtain wall production considering construction planning reliability. Journal of Cleaner Production, 286, Article 24922. https://doi.org/10.1016/j.jclepro.2020.124922
Lee, S., Jang, Y., Yi, J. S., & Son, J. (2023). Identifying critical risk factors and management activities for effective offsite construction projects during the construction phase. Journal of Management in Engineering, 39(4), Article 04023018. https://doi.org/10.1061/JMENEA.MEENG-5310
Lei, Z., Chen, Q., Altaf, M. S., & Cao, K. (2024). Defining information requirements for off site construction management: An industry case study from Canada. Journal of Construction Engineering and Management, 150(12), Article 05024014. https://doi.org/10.1061/JCEMD4.COENG-15141
Li, C. Z., Wen, S., Yi, W., Wu, H., & Tam, V. W. (2024). Offsite construction supply chain challenges: An integrated overview. Journal of Construction Engineering and Management, 150(7), Article 03124003. https://doi.org/10.1061/JCEMD4.COENG-14444
Lipol, L. S., & Haq, J. (2011). Risk analysis method: FMEA/FMECA in the organizations. International Journal of Basic & Applied Sciences, 11(5), 74–82.
Liu, M., Liu, X., Chu, F., Zheng, F., & Chu, C. (2019). Distributionally robust inventory routing problem to maximize the service level under limited budget. Transportation Research Part E: Logistics and Transportation Review, 126, 190–211. https://doi.org/10.1016/j.tre.2019.04.005
Liu, W., Wei, W., Si, C., Xie, D., & Chen, L. (2020). Effect of supply chain strategic collaboration announcements on shareholder value: An empirical investigation from China. International Journal of Operations & Production Management, 40(4), 389–414. https://doi.org/10.1108/IJOPM-05-2019-0368
Lo, H. W., Liou, J. J., Wang, H. S., & Tsai, Y. S. (2018). An integrated model for solving problems in green supplier selection and order allocation. Journal of Cleaner Production, 190, 339–352. https://doi.org/10.1016/j.jclepro.2018.04.105
Lopez, R., Chong, H. Y., & Pereira, C. (2022). Obstacles preventing the off site prefabrication of timber and MEP services: Qualitative analyses from builders and suppliers in Australia. Buildings, 12(7), Article 1044. https://doi.org/10.3390/buildings12071044
Ma, Q., Li, S., & Cheung, S. O. (2022). Unveiling embedded risks in integrated project delivery. Journal of Construction Engineering and Management, 148(1), Article 04021180. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002212
Martilla, J. A., & James, J. C. (1977). Importance-performance analysis. Journal of Marketing, 41, 77–79. https://doi.org/10.1177/002224297704100112
Mao, C., Shen, Q., Pan, W., & Ye, K. (2015). Major barriers to off site construction: The developer’s perspective in China. Journal of Management in Engineering, 31(3), Article 04014043. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000246
Mortazavi, S., Kheyroddin, A., & Naderpour, H. (2020). Risk evaluation and prioritization in bridge construction projects using system dynamics approach. Practice Periodical on Structural Design and Construction, 25(3), Article 04020015. https://doi.org/10.1061/(ASCE)SC.1943-5576.0000493
Mostafa, S., Chileshe, N., & Abdelhamid, T. (2016). Lean and agile integration within offsite construction using discrete event simulation: A systematic literature review. Construction Innovation, 16(4), 483–525. https://doi.org/10.1108/CI-09-2014-0043
Pan, W., & Sidwell, R. (2011). Demystifying the cost barriers to offsite construction in the UK. Construction Management and Economics, 29(11), 1081–1099. https://doi.org/10.1080/01446193.2011.637938
Raoufi, M., & Fayek, A. R. (2018). Fuzzy agent based modeling of construction crew motivation and performance. Journal of Computing in Civil Engineering, 32(5), Article 04018035. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000777
Sanni Anibire, M. O., Mahmoud, A. S., Hassanain, M. A., & Salami, B. A. (2020). A risk assessment approach for enhancing construction safety performance. Safety Science, 121, 15–29. https://doi.org/10.1016/j.ssci.2019.08.044
Sarhan, S., Elnokaly, A., Pasquire, C., & Pretlove, S. (2018). Lean construction and sustainability through IGLC community: A critical systematic review of 25 years of experience. In Proceedings of the 26th Annual Conference of the International Group for Lean Construction (IGLC), Chennai, India. https://doi.org/10.24928/2018/0274
Sever, I. (2015). Importance performance analysis: A valid management tool? Tourism Management, 48, 43–53. https://doi.org/10.1016/j.tourman.2014.10.022
Si, T., Li, H. X., Lei, Z., Liu, H., & Han, S. (2021). A dynamic Just-in-Time component delivery framework for off-site construction. Advances in Civil Engineering, 2021, Article 9953732. https://doi.org/10.1155/2021/9953732
Simonsen, E. M., Herrera, R. F., & Atencio, E. (2023). Benefits and difficulties of the implementation of lean construction in the public sector: A systematic review. Sustainability, 15(7), Article 6161. https://doi.org/10.3390/su15076161
Tam, C. M., Tam, V. W., Chan, J. K., & Ng, W. C. (2005). Use of prefabrication to minimize construction waste: Case study approach. International Journal of Construction Management, 5(1), 91–101. https://doi.org/10.1080/15623599.2005.10773069
Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1–29. https://doi.org/10.1016/j.ejor.2004.04.028
Wang, Z. L., Shen, H. C., & Zuo, J. (2019a). Risks in prefabricated buildings in China: Importance performance analysis approach. Sustainability, 11(12), Article 3450. https://doi.org/10.3390/su11123450
Wang, Z., Hu, H., Gong, J., Ma, X., & Xiong, W. (2019b). 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, M., Wang, C. C., Sepasgozar, S., & Zlatanova, S. (2020). A systematic review of digital technology adoption in off site construction: Current status and future direction towards Industry 4.0. Buildings, 10, Article 204. https://doi.org/10.3390/buildings10110204
Wuni, I. Y., & Shen, G. Q. P. (2020). Barriers to the adoption of modular integrated construction: Systematic review and meta analysis integrated conceptual framework, and strategies. Journal of Cleaner Production, 249, Article 119347. https://doi.org/10.1016/j.jclepro.2019.119347
Wuni, I. Y., Shen, G. Q., & Saka, A. B. (2023). Computing the severities of critical onsite assembly risk factors for modular integrated construction projects. Engineering, Construction and Architectural Management, 30(5), 1864–1882. https://doi.org/10.1108/ECAM-07-2021-0630
Xue, X., Shen, Q., & Ren, Z. (2010). Critical review of collaborative working in construction projects: Business environment and human behaviors. Journal of Management in Engineering, 26(4), 196–208. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000025
Yang, J., Dong, Z. Y., Wen, F., Chen, Q., Luo, F., Liu, W., & Zhan, J. (2020). A penalty scheme for mitigating uninstructed deviation of generation outputs from variable renewables in a distribution market. IEEE Transactions on Smart Grid, 11(5), 4056–406. https://doi.org/10.1109/TSG.2020.2993049
Yin, X., Liu, H., Chen, Y., & Al Hussein, M. (2019). Building information modelling for off site construction: Review and future directions. Automation in Construction, 101, 72–91. https://doi.org/10.1016/j.autcon.2019.01.010
Zavadskas, E. K., Mardani, A., Turskis, Z., Jusoh, A., & Nor, K. M. (2016). Development of TOPSIS method to solve complicated decision making problems—An overview on developments from 2000 to 2015. International Journal of Information Technology & Decision Making, 15(3), 645–682. https://doi.org/10.1142/S0219622016300019
Zhang, Z., Zou, Y., Guo, B. H., Dimyadi, J., Davies, R., & Jiang, L. (2024). Knowledge management for off site construction. Automation in Construction, 166, Article 105632. https://doi.org/10.1016/j.autcon.2024.105632
Zhao, X., Hwang, B. G., & Gao, Y. (2016). A fuzzy synthetic evaluation approach for risk assessment: A case of Singapore’s green projects. Journal of Cleaner Production, 115, 203–213. https://doi.org/10.1016/j.jclepro.2015.11.042
Ziegler, J., Dearden, P., & Rollins, R. (2012). But are tourists satisfied? Importance performance analysis of the whale shark tourism industry on Isla Holbox, Mexico. Tourism Management, 33(3), 692–701. https://doi.org/10.1016/j.tourman.2011.08.004
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