Enhancing workforce efficiency in construction: a technological intervention for skill matching and resource optimization  using extreme programming

Denny Jean Cross Sihombing

Authors

Denny Jean Cross Sihombing Faculty of Engineering, Atma Jaya Catholic University of Indonesia

Keywords:

Workforce Efficiency, Freelance Workers, Extreme Programming, Construction Projects

Abstract

This research addresses a crucial issue related to labor deployment and management in construction project management. In the context of the complexity of skill needs and dynamic changes in construction projects, this research proposes an innovative solution by developing a Human Resource Management application. The research method was structured in three main stages. The first stage involved data collection to identify skills needs, team dynamics, and project demands. The second stage involved developing the application using the Extreme Programming (XP) method, focusing on critical features such as skills matching, team performance monitoring, and labor risk analysis. The final stage was user acceptance analysis, where a user acceptance measurement model was applied to a representative group of users. The results showed that the application received high user ratings, with the Interactive Project Schedule feature being the most favored. Team Performance Monitoring and Centralised Team Communication also received high ratings. While Labour Risk Analysis scored positively, there were notes for improvement. The app provides an integrated solution for effective human resource management in construction projects. The main contribution of this research lies in developing an application that is responsive and adaptive to changing project needs, utilizing XP principles.

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References

Akhtar, A., Bakhtawar, B., & Akhtar, S. (N.D.). Extreme Programming Vs Scrum: A Comparison Of Agile Models. International Journal Of Technology, Innovation And Management (Ijtim), 2, 2022. Https://Doi.Org/10.54489/Ijtim.V2i1.77

Almashhadani, M., Almashhadani, H., & Almashhadani, H. A. (2023). The Impact Of Education On Construction Management: A Comprehensive Review. International Journal Of Business And Management Invention (Ijbmi) Issn, 12, 284–290. Https://Doi.Org/10.35629/8028-1206284290

Altaf, M., Alalaoul, W. S., Musarat, M. A., Hussain, A., Saad, S., Rabbani, M. B. A., & Ammad, S. (2022). Evaluating The Awareness And Implementation Level Of Lcca In The Construction Industry Of Malaysia. Ain Shams Engineering Journal, 13(5). Https://Doi.Org/10.1016/J.Asej.2021.101686

Alzahrani, J. I., & Emsley, M. W. (2013). The Impact Of Contractors ’ Attributes On Construction Project Success : A Post Construction Evaluation. Jpma, 31(2), 313–322. Https://Doi.Org/10.1016/J.Ijproman.2012.06.006

Aulawi, H., Nuraeni, F., Setiawan, R., Rianto, W. F., Surya Pratama, A., & Maulana, H. (2023). Simple Additive Weighting In The Development Of A Decision Support System For The Selection Of House Construction Project Teams. 2023 International Conference On Computer Science, Information Technology And Engineering (Iccosite), 517–522. Https://Doi.Org/10.1109/Iccosite57641.2023.10127813

Awad, A., & Fayek, A. R. (2012). A Decision Support System For Contractor Prequalification For Surety Bonding. In Automation In Construction (Vol. 21, Issue 1, Pp. 89–98). Elsevier B.V. Https://Doi.Org/10.1016/J.Autcon.2011.05.017

Bahamid, R. A., Doh, S. I., Khoiry, M. A., Kassem, M. A., & Al-Sharafi, M. A. (2022). The Current Risk Management Practices And Knowledge In The Construction Industry. Buildings, 12(7). Https://Doi.Org/10.3390/Buildings12071016

Boateng, A., Ameyaw, C., & Mensah, S. (2022). Assessment Of Systematic Risk Management Practices On Building Construction Projects In Ghana. International Journal Of Construction Management, 22(16), 3128–3136. Https://Doi.Org/10.1080/15623599.2020.1842962

Brodskiy, V. (2022). Improving Transport And Technological Process To Supply Material Resources For House Construction. Transportation Research Procedia, 63, 639–647. Https://Doi.Org/10.1016/J.Trpro.2022.06.057

Choi, J., & Ha, M. (2022). Validation Of Project Management Information Systems For Industrial Construction Projects. Journal Of Asian Architecture And Building Engineering, 21(5), 2046–2057. Https://Doi.Org/10.1080/13467581.2021.1941999

Fojtik, R. (2011). Extreme Programming In Development Of Specific Software. Procedia Computer Science, 3, 1464–1468. Https://Doi.Org/10.1016/J.Procs.2011.01.032

Fredriksson, A., & Huge-Brodin, M. (2022). Green Construction Logistics – A Multi-Actor Challenge. Research In Transportation Business And Management, 45(Pa), 100830. Https://Doi.Org/10.1016/J.Rtbm.2022.100830

Guo, F., Wang, K., & Cao, E. (2023). A Digital Twin (Dt) Framework At Design And Construction Phases. Https://Www.Researchgate.Net/Publication/371416031

Ingle, P. V., & Mahesh, G. (2022). Construction Project Performance Areas For Indian Construction Projects. International Journal Of Construction Management, 22(8), 1443–1454. Https://Doi.Org/10.1080/15623599.2020.1721177

Jato-Espino, D., Castillo-Lopez, E., Rodriguez-Hernandez, J., & Canteras-Jordana, J. C. (2014). A Review Of Application Of Multi-Criteria Decision Making Methods In Construction. In Automation In Construction (Vol. 45, Pp. 151–162). Elsevier B.V. Https://Doi.Org/10.1016/J.Autcon.2014.05.013

Leong, J., May Yee, K., Baitsegi, O., Palanisamy, L., & Ramasamy, R. K. (2023). Hybrid Project Management Between Traditional Software Development Lifecycle And Agile Based Product Development For Future Sustainability. Sustainability, 15(2), 1121. Https://Doi.Org/10.3390/Su15021121

Nguyen, P. H. D., & Robinson Fayek, A. (2022). Applications Of Fuzzy Hybrid Techniques In Construction Engineering And Management Research. Automation In Construction, 134, 104064. Https://Doi.Org/10.1016/J.Autcon.2021.104064

Pham, T. T., Lingard, H., & Zhang, R. P. (2023). Factors Influencing Construction Workers’ Intention To Transfer Occupational Health And Safety Training. Safety Science, 167. Https://Doi.Org/10.1016/J.Ssci.2023.106288

Rajabi, S., El-Sayegh, S., & Romdhane, L. (2022). Identification And Assessment Of Sustainability Performance Indicators For Construction Projects. Environmental And Sustainability Indicators, 15(June), 100193. Https://Doi.Org/10.1016/J.Indic.2022.100193

Sarhadi, P., Naeem, W., Fraser, K., & Wilson, D. (2022). On The Application Of Agile Project Management Techniques, V-Model And Recent Software Tools In Postgraduate Theses Supervision. Ifac-Papersonline, 55(17), 109–114. Https://Doi.Org/10.1016/J.Ifacol.2022.09.233

Senabre Hidalgo, E. (N.D.). Adapting The Scrum Framework For Agile Project Management In Science: Case Study Of A Distributed Research Initiative. Https://Doi.Org/10.1016/J.Heliyon.2019

Serpell, A., & Rubio, H. (2023). Evaluating Project Management (Pm) Readiness In Construction Companies: Cases From Chile. Procedia Computer Science, 219, 1642–1649. Https://Doi.Org/10.1016/J.Procs.2023.01.457

Shirai, T., & Kiritani, K. (2021). A Study On The Problem Of Business It System Utilization In Japanese Companies Construction Of Non-Utilization Model According To Business Characteristics Of Japanese Companies-. Procedia Computer Science, 181, 285–293. Https://Doi.Org/10.1016/J.Procs.2021.01.148

Sihombing, D. (2023). Development Of Construction Project Cost Budget Application Using Rapid Application Development Method. In Jurnal Mantik (Vol. 7, Issue 3). Online.

Taylan, O., Bafail, A. O., Abdulaal, R. M. S., & Kabli, M. R. (2014). Construction Projects Selection And Risk Assessment By Fuzzy Ahp And Fuzzy Topsis Methodologies. Applied Soft Computing Journal, 17, 105–116. Https://Doi.Org/10.1016/J.Asoc.2014.01.003

Tessema, A. T., Alene, G. A., & Wolelaw, N. M. (2022). Assessment Of Risk Factors On Construction Projects In Gondar City, Ethiopia. Heliyon, 8(11), E11726. Https://Doi.Org/10.1016/J.Heliyon.2022.E11726

Trask, C., & Linderoth, H. C. (2023). Digital Technologies In Construction: A Systematic Mapping Review Of Evidence For Improved Occupational Health And Safety. In Journal Of Building Engineering (Vol. 80). Elsevier Ltd. Https://Doi.Org/10.1016/J.Jobe.2023.108082

Tushar, Z. N., Bari, A. B. M. M., & Khan, M. A. (2022). Circular Supplier Selection In The Construction Industry: A Sustainability Perspective For The Emerging Economies. Sustainable Manufacturing And Service Economics, 1(September), 100005. Https://Doi.Org/10.1016/J.Smse.2022.100005

Udvaros, J., Forman, N., & Avornicului, S. M. (2023). Agile Storyboard And Software Development Leveraging Smart Contract Technology In Order To Increase Stakeholder Confidence. Electronics (Switzerland), 12(2). Https://Doi.Org/10.3390/Electronics12020426

Wiechmann, D. M., Reichstein, C., Haerting, R. C., Bueechl, J., & Pressl, M. (2022). Agile Management To Secure Competitiveness In Times Of Digital Transformation In Medium-Sized Businesses. Procedia Computer Science, 207, 2353–2363. Https://Doi.Org/10.1016/J.Procs.2022.09.294

Wood, S., Michaelides, G., & Thomson, C. (2013). Successful Extreme Programming: Fidelity To The Methodology Or Good Teamworking? Information And Software Technology, 55(4), 660–672. Https://Doi.Org/10.1016/J.Infsof.2012.10.002

Xu, H., Chang, R., Pan, M., Li, H., Liu, S., Webber, R. J., Zuo, J., & Dong, N. (2022). Application Of Artificial Neural Networks In Construction Management: A Scientometric Review. In Buildings (Vol. 12, Issue 7). Mdpi. Https://Doi.Org/10.3390/Buildings12070952

Zhang, J., Cheng, J. C. P., Chen, W., & Chen, K. (2022). Digital Twins For Construction Sites: Concepts, Lod Definition, And Applications. Journal Of Management In Engineering, 38(2). Https://Doi.Org/10.1061/(Asce)Me.1943-5479.0000948