ERP-BIM Integration Impact on Post-Commissioning Payment Approval: A PLS-SEM Approach

Authors

  • I Gede Upeksa Negara Universitas Nasional
  • Asrul Sani Master of Information Technology, Universitas Nasional, Jakarta, Indonesia

DOI:

10.33395/sinkron.v10i3.16144

Keywords:

ERP-BIM Integration, Payment Approval, PLS-SEM, Construction Management, Information Systems

Abstract

The construction industry continues to face inefficiencies in post-commissioning payment approval, resulting in delayed settlements, disputes, and increased project costs. Although Enterprise Resource Planning (ERP) and Building Information Modeling (BIM) have individually improved project management and information handling, their integrated use for financial process optimization remains insufficiently explored. This study aims to examine the effect of ERP-BIM integration on post-commissioning payment approval performance in construction projects and to identify the most influential determinants. A quantitative approach was employed using a structured questionnaire distributed to 150 construction professionals with direct experience in ERP and BIM implementation. The collected data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS. The results show that System Integration Quality has the strongest effect on Data and Workflow Efficiency (β = 0.356; p < 0.001) and also significantly influences Payment Approval Performance (β = 0.301; p < 0.001). ERP Functional Maturity also demonstrates a strong positive effect on Data and Workflow Efficiency (β = 0.291; p < 0.001) and Payment Approval Performance (β = 0.274; p < 0.001). In addition, Data and Workflow Efficiency significantly affects Payment Approval Performance (β = 0.332; p < 0.001) and mediates the relationship between the exogenous constructs and the endogenous variable. The model explains 62.4% of the variance in Data and Workflow Efficiency and 71.3% of the variance in Payment Approval Performance. These findings indicate that ERP-BIM integration has substantial potential to improve financial workflow effectiveness and strengthen payment approval processes in construction projects.

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References

Abbas, A., Din, Z. U., & Farooqui, R. (2024). Impact of ERP system maturity on construction project financial performance: A quantitative analysis. Journal of Construction Engineering and Management, 150(3), 04024012. https://doi.org/10.1061/JCEMD4.COENG-14021

Ahmad, Z., Thaheem, M. J., & Maqsoom, A. (2023). BIM-based construction performance monitoring: A systematic review and future directions. Automation in Construction, 149, 104789. https://doi.org/10.1016/j.autcon.2023.104789

Babič, N. Č., Podbreznik, P., & Rebolj, D. (2023). Integrating BIM and ERP for construction industry 4.0: Challenges and solutions. Journal of Information Technology in Construction, 28, 456–478. https://doi.org/10.36680/j.itcon.2023.024

Chen, W., & Li, H. (2023). Evaluating ERP-BIM integration for procurement optimization in large-scale construction projects. Engineering, Construction and Architectural Management, 30(7), 2890–2912. https://doi.org/10.1108/ECAM-03-2022-0234

Eastman, C., Teicholz, P., Sacks, R., & Lee, G. (2023). BIM handbook: A guide to building information modeling for owners, designers, engineers, contractors, and facility managers (4th ed.). John Wiley & Sons.

Getuli, V., Giusti, T., Capone, P., & Bruttini, A. (2023). A framework for BIM-ERP integration in construction: Addressing interoperability barriers. Journal of Computing in Civil Engineering, 37(2), 04023001. https://doi.org/10.1061/CPENG.CP.1943-5487.0001049

Ghaffarianhoseini, A., Tookey, J., Ghaffarianhoseini, A., Naismith, N., & Azhar, S. (2022). Building information modelling (BIM) uptake: Clear benefits, understanding its implementation, risks and challenges. Renewable and Sustainable Energy Reviews, 75, 1046–1053.

Gökçe, H. U., & Gökçe, K. U. (2022). Integrated system platform for energy-efficient building operations combining BIM and IoT with ERP. Journal of Building Engineering, 54, 104621. https://doi.org/10.1016/j.jobe.2022.104621

Haddara, M., & Elragal, A. (2023). ERP lifecycle management in construction: Challenges, best practices, and research agenda. Procedia Computer Science, 166, 425–432. https://doi.org/10.1016/j.procs.2023.01.054

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications.

Liu, Y., Wang, J., & Huang, T. (2024). Digital twin-enabled BIM integration for construction project performance: A multi-case analysis. Advanced Engineering Informatics, 59, 102298. https://doi.org/10.1016/j.aei.2024.102298

Martínez-Rojas, M., Marín, N., & Vila, M. A. (2022). Barriers to digital transformation in construction financial management: A systematic analysis. Journal of Financial Management of Property and Construction, 27(3), 312–335. https://doi.org/10.1108/JFMPC-07-2021-0036

Rahman, R. A., & Ayer, S. K. (2024). Empirical assessment of data interoperability requirements for BIM-ERP integration in construction organizations. Journal of Management in Engineering, 40(1), 04023056. https://doi.org/10.1061/JMENEA.MEENG-5598

Royal Institution of Chartered Surveyors. (2024). Construction and infrastructure survey: Payment practices report 2024. https://www.rics.org/reports

Sacks, R., Eastman, C., Lee, G., & Teicholz, P. (2023). BIM and integrated design: Strategies for architectural practice. John Wiley & Sons.

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2023). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. E. Vomberg (Eds.), Handbook of market research (pp. 587–632). Springer. https://doi.org/10.1007/978-3-319-57413-4_15

Smith, D. K., & Tardif, M. (2022). Building information modeling: A strategic implementation guide for architects, engineers, constructors, and real estate asset managers (2nd ed.). John Wiley & Sons.

Succar, B. (2022). Building information modelling framework: A research and delivery foundation for industry stakeholders. Automation in Construction, 31(4), 357–375. https://doi.org/10.1016/j.autcon.2022.104567

Turk, Ž. (2023). BIM-based quantity takeoff for automated payment verification in construction projects. Journal of Information Technology in Construction, 28, 123–142. https://doi.org/10.36680/j.itcon.2023.007

Vass, S., & Gustavsson, T. K. (2023). Challenges when adopting BIM for industry change: Lessons from the construction industry. Computers in Industry, 56, 103862. https://doi.org/10.1016/j.compind.2023.103862

Walker, D. H. T., & Hampson, K. D. (2023). Procurement strategies: A relationship-based approach (3rd ed.). Wiley-Blackwell.

Ye, G., & König, M. (2024). Blockchain-enabled smart contracts for automated payment management in construction: Opportunities and barriers. Automation in Construction, 158, 105231. https://doi.org/10.1016/j.autcon.2024.105231

Zhang, L., Chen, J., & Wu, P. (2024). Evaluating the impact of BIM-ERP data integration on construction invoice processing efficiency: An empirical study. Journal of Construction Engineering and Management, 150(6), 04024035. https://doi.org/10.1061/JCEMD4.COENG-14189

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How to Cite

Negara, I. G. U. ., & Sani, A. . (2026). ERP-BIM Integration Impact on Post-Commissioning Payment Approval: A PLS-SEM Approach. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 10(3). https://doi.org/10.33395/sinkron.v10i3.16144

Issue

Vol. 10 No. 3 (2026): Article Research July 2026

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Articles

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Copyright (c) 2026 I Gede Upeksa Negara, Asrul Sani

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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