Analyzing the critical delay factors for construction projects in the public sector using relative importance index and machine learning techniques

Sirinthip Ouansrimeang, Kittipol Wisaeang

Article ID: 6208
Vol 8, Issue 8, 2024

VIEWS - 260 (Abstract) 114 (PDF)

Abstract


This study aims to identify the causes of delays in public construction projects in Thailand, a developing country. Increasing construction durations lead to higher costs, making it essential to pinpoint the causes of these delays. The research analyzed 30 public construction projects that encountered delays. Delay causes were categorized into four groups: contractor-related, client-related, supervisor-related, and external factors. A questionnaire was used to survey these causes, and the Relative Importance Index (RII) method was employed to prioritize them. The findings revealed that the primary cause of delays was contractor-related financial issues, such as cash flow problems, with an RII of 0.777 and a weighted value of 84.44%. The second most significant cause was labor issues, such as a shortage of workers during the harvest season or festivals, with an RII of 0.773. Additionally, various algorithms were used to compare the Relative Importance Index (RII) and four machine learning methods: Decision Tree (DT), Deep Learning, Neural Network, and Naïve Bayes. The Deep Learning model proved to be the most effective baseline model, achieving a 90.79% accuracy rate in identifying contractor-related financial issues as a cause of construction delays. This was followed by the Neural Network model, which had an accuracy rate of 90.26%. The Decision Tree model had an accuracy rate of 85.26%. The RII values ranged from 68.68% for the Naïve Bayes model to 77.70% for the highest RII model. The research results indicate that contractor financial liquidity and costs significantly impact construction operations, which public agencies must consider. Additionally, the availability of contractor labor is crucial for the continuity of projects. The accuracy and reliability of the data obtained using advanced data mining techniques demonstrate the effectiveness of these results. This can be efficiently utilized by stakeholders involved in construction projects in Thailand to enhance construction project management.


Keywords


delay causes; relative importance; construction projects; machine learning

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References


Akhtar, A., Khan, A., Akhtar, S., et al. (2020). Conflict Management Strategies and Organizational Performance in Banking Sector of Pakistan. Foundation University Journal of Business & Economics, 5(1), 1–12. https://doi.org/10.33897/fujbe.v5i1.143

Akogbe, R. K. T. M., Feng, X., & Zhou, J. (2013). Importance and ranking evaluation of delay factors for development construction projects in Benin. KSCE Journal of Civil Engineering, 17(6), 1213–1222. https://doi.org/10.1007/s12205-013-0446-2

Al Hadithi, B. I. (2018). An investigation into factors causing delays in highway construction projects in Iraq. MATEC Web of Conferences, 162, 02035. https://doi.org/10.1051/matecconf/201816202035

Al-Adwani, M. M., Mollasalehi, S., & Fleming, A. J. (2018). A study of root causes of delays in the public-sector construction projects in Kuwait. In: Proceedings of the International Conference on Construction Futures ICCF; University of Wolverhampton, UK.

Alinaitwe, H., Apolot, R., & Tindiwensi, D. (2013). Investigation into the Causes of Delays and Cost Overruns in Uganda’s Public Sector Construction Projects. Journal of Construction in Developing Countries, 18(2), 33–47.

Aliza, A. H., Stephen, K., & Bambang, T. (2011). The Importance of Project Governance Framework in Project Procurement Planning. Procedia Engineering, 14, 1929–1937. https://doi.org/10.1016/j.proeng.2011.07.242

Al-Janabi, A. M., Abdel-Monem, M. S., & El-Dash, K. M. (2020). Factors causing rework and their impact on projects’ performance in Egypt. Journal of civil engineering and management, 26(7), 666–689. https://doi.org/10.3846/jcem.2020.12916

Alsehaimi, A., Koskela, L., & Tzortzopoulos, P. (2013). Need for alternative research approaches in construction management: Case of delay studies. Journal of Management in Engineering, 29(4), 407–413. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000148

Amoatey, C. T., & Ankrah, A. N. O. (2017). Exploring critical road project delay factors in Ghana. Journal of Facilities Management, 15(2), 110–127. https://doi.org/10.1108/jfm-09-2016-0036

Annamalaisami, C. D., & Kuppuswamy, A. (2019). Reckoning construction cost overruns in building projects through methodological consequences. International Journal of Construction Management, 22(6), 1079–1089. https://doi.org/10.1080/15623599.2019.1683689

Apolot, R. E. (2011). Investigation of the causes of delay and cost overrun in construction projects in Uganda’s public sector [PhD thesis]. Makerere University.

Arantes, A., da Silva, P. F., & Ferreira, L. M. D. F. (2015). Delays in construction projects—causes and impacts. 2015 International Conference on Industrial Engineering and Systems Management (IESM). https://doi.org/10.1109/iesm.2015.7380293

Arena, F., Collotta, M., Luca, L., et al. (2021). Predictive Maintenance in the Automotive Sector: A Literature Review. Mathematical and Computational Applications, 27(1), 2. https://doi.org/10.3390/mca27010002

Asah-Kissiedu, M. (2009). The development of appropriate strategies for the prevention of construction disputes in Ghana [Master’s thesis]. Kwame Nkrumah University of Science and Technology.

Assaf, S. A., & Al-Hejji, S. (2006). Causes of delay in large construction projects. International Journal of Project Management, 24(4), 349–357. https://doi.org/10.1016/j.ijproman.2005.11.010

Azhar, S., & Choudhry, R. M. (2016). Capacity building in construction health and safety research, education, and practice in Pakistan. Built Environment Project and Asset Management, 6(1), 92–105. https://doi.org/10.1108/bepam-09-2014-0044

Aziz, R. F. (2013). Ranking of delay factors in construction projects after Egyptian revolution. Alexandria Engineering Journal, 52(3), 387–406. https://doi.org/10.1016/j.aej.2013.03.002

Aziz, R. F., & Abdel-Hakam, A. A. (2016). Exploring delay causes of road construction projects in Egypt. Alexandria Engineering Journal, 55(2), 1515–1539. https://doi.org/10.1016/j.aej.2016.03.006

Bagaya, O., & Song, J. (2016). Empirical study of factors influencing schedule delays of public construction projects in Burkina Faso. Journal of management in engineering, 32(5). https://doi.org/10.1061/(ASCE)ME.1943–5479.0000443

Bajjou, M. S., & Chafi, A. (2018). Empirical study of schedule delay in Moroccan construction projects. International Journal of Construction Management, 20(7), 783–800. https://doi.org/10.1080/15623599.2018.1484859

Chamidah, N., Santoni, M. M., & Matondang, N. (2020). Oversampling Method on Classifying Hypertension Using Naive Bayes, Decision Tree, and Artificial Neural Network. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 4(4), 635–641. https://doi.org/10.29207/resti.v4i4.2015

Cakmak, E., & Cakmak, P. I. (2014). An Analysis of Causes of Disputes in the Construction Industry Using Analytical Network Process. Procedia—Social and Behavioral Sciences, 109, 183–187. https://doi.org/10.1016/j.sbspro.2013.12.441

Chaitongrat, T., Janthachai, K., Kusonkhum, W., et al. (2024). Comparing data mining methods for predicting cost construction projects: A case study of cost management datasets from Thailand. Journal of Infrastructure, Policy and Development, 8(5), 2801. https://doi.org/10.24294/jipd.v8i5.2801

Chen, G. X., Shan, M., Chan, A. P. C., et al. (2017). Investigating the causes of delay in grain bin construction projects: the case of China. International Journal of Construction Management, 19(1), 1–14. https://doi.org/10.1080/15623599.2017.1354514

Chidiebere, E. E., & Ebhohimen, I. J. (2018). Impact of Rework on Building Project and Organisation Performance: A View of Construction Professionals in Nigeria. International Journal of Sustainable Construction Engineering Technology, 9(1). https://doi.org/10.30880/ijscet.2018.09.01.003

Choudhry, R. M., & Iqbal, K. (2013). Identification of risk management system in construction industry in Pakistan. Journal of Management in Engineering, 29(1), 42–49. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000122

Choudhry, R. M., Aslam, M. A., Hinze, J. W., & Arain, F. M. (2014). Cost and schedule risk analysis of bridge construction in Pakistan: Establishing risk guidelines. Journal of Construction Engineering and Management, 140(7). https://doi.org/10.1061/(asce)co.1943–7862.0000857

Das, D. K., & Emuze, F. (2017). A Dynamic Model of Contractor-Induced Delays in India. Journal of Construction in Developing Countries, 22(1), 21–39. https://doi.org/10.21315/jcdc2017.22.1.2

Doloi, H., Sawhney, A., Iyer, K. C., et al. (2012). Analysing factors affecting delays in Indian construction projects. International Journal of Project Management, 30(4), 479–489. https://doi.org/10.1016/j.ijproman.2011.10.004

Durdyev, S., Omarov, M., & Ismail, S. (2017). Causes of delay in residential construction projects in Cambodia. Cogent Engineering, 4(1), 1291117. https://doi.org/10.1080/23311916.2017.1291117

Elhusseiny, H. O., Nosair, I., & Ezeldin, A. S. (2021). Systematic processing framework for analyzing the factors of construction projects’ delays in Egypt. Ain Shams Engineering Journal, 12(2), 1501–1511. https://doi.org/10.1016/j.asej.2020.10.016

Fallahnejad, M. H. (2013). Delay causes in Iran gas pipeline projects. International Journal of Project Management, 31(1), 136–146. https://doi.org/10.1016/j.ijproman.2012.06.003

Fisher, D., & Lenz, H. J. (1996). Learning from Data. Lecture Notes in Statistics. Springer New York. https://doi.org/10.1007/978-1-4612-2404-4

Faridi, A. S., & El‐Sayegh, S. M. (2006). Significant factors causing delay in the UAE construction industry. Construction Management and Economics, 24(11), 1167–1176. https://doi.org/10.1080/01446190600827033

Farooq, M., Shafiq, M., & Tahir, A. H. (2019). Impact of Quality Education and Tangibles of Education system on Literacy Improvement- An Empirical study of Southern Punjab Region of Pakistan. Foundation University Journal of Business & Economics, 4(2), 21–33. https://doi.org/10.33897/fujbe.v4i2.140

Fashina, A. A., Omar, M. A., Sheikh, A. A., et al. (2021). Exploring the significant factors that influence delays in construction projects in Hargeisa. Heliyon, 7(4), e06826. https://doi.org/10.1016/j.heliyon.2021.e06826

Fatima, A., Sekhar, T. S., & Hussain, S. A. M. (2014). Analysis of construction dispute resolution process using artificial neural networks. International Journal of Innovative Research and Development, 3(7).

González, P., González, V., Molenaar, K., & Orozco, F. (2014). Analysis of causes of delay and time performance in construction projects. Journal of construction engineering and management, 140(1). https://doi.org/10.1061/(ASCE)CO.1943-7862.0000721

Fugar, F. D., & Agyakwah-Baah, A. B. (2010). Delays in Building Construction Projects in Ghana. Australasian Journal of Construction Economics and Building, 10(1/2), 103. https://doi.org/10.5130/ajceb.v10i1/2.1592

George, M. S., Wassermann, E. M., Williams, W. A., et al. (1995). Daily repetitive transcranial magnetic stimulation (rTMS) improves mood in depression. NeuroReport, 6(14), 1853–1856. https://doi.org/10.1097/00001756-199510020-00008

Gündüz, M., Nielsen, Y., & Özdemir, M. (2013). Quantification of delay factors using the relative importance index method for construction projects in Turkey. Journal of management in engineering, 29(2), 133–139. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000129

Hamzah, N., Khoiry, M. A., Arshad, I., et al. (2011). Cause of Construction Delay-Theoretical Framework. Procedia Engineering, 20, 490–495. https://doi.org/10.1016/j.proeng.2011.11.192

Han, S., Love, P., & Peña-Mora, F. (2013). A system dynamics model for assessing the impacts of design errors in construction projects. Mathematical and Computer Modelling, 57(9–10), 2044–2053. https://doi.org/10.1016/j.mcm.2011.06.039

Hossain, M. A., Raiymbekov, D., Nadeem, A., et al. (2019). Delay causes in Kazakhstan’s construction projects and remedial measures. International Journal of Construction Management, 22(5), 801–819. https://doi.org/10.1080/15623599.2019.1647635

Iftikhar Kiani, O., Awais, M., Ahmed, W., et al. (2020). The role and analysis of Microfinance Banks in Pakistan. Foundation University Journal of Business & Economics, 5(1), 34–62. https://doi.org/10.33897/fujbe.v5i1.145

Islam, M. S., & Suhariadi, B. T. (2018). Construction delays in privately funded large building projects in Bangladesh. Asian Journal of Civil Engineering, 19(4), 415–429. https://doi.org/10.1007/s42107-018-0034-3

Johnson, R. M., & Babu, R. I. I. (2018). Time and cost overruns in the UAE construction industry: a critical analysis. International Journal of Construction Management, 20(5), 402–411. https://doi.org/10.1080/15623599.2018.1484864

Kadry, M., Osman, H., & Georgy, M. (2017). Causes of construction delays in countries with high geopolitical risks. Journal of construction engineering and management, 143(2). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001222

Kaliba, C., Muya, M., & Mumba, K. (2009). Cost escalation and schedule delays in road construction projects in Zambia. International Journal of Project Management, 27(5), 522–531. https://doi.org/10.1016/j.ijproman.2008.07.003

Kamal, A., Abas, M., Khan, D., et al. (2019). Risk factors influencing the building projects in Pakistan: from perspective of contractors, clients and consultants. International Journal of Construction Management, 22(6), 1141–1157. https://doi.org/10.1080/15623599.2019.1683693

Kanjana, P., & Kongsomboon, P. (2018). Problems of modifying construction contracts based on the changed circumstances principle. Thammasat University Law Journal, 2018(1), 528–538.

Kashif, A. R., Shafiq, Dr. M., Tahir, A. H., et al. (2020). Impact of On Job Training, Training Design and Training Delivery Style on Organizations Performance. Foundation University Journal of Business & Economics, 5(2), 40–51. https://doi.org/10.33897/fujbe.v5i2.444

Kazaz, A., Ulubeyli, S., & Tuncbilekli, N. A. (2012). Causes of delays in construction projects in turkey. Journal of Civil Engineering and Management, 18(3), 426–435. https://doi.org/10.3846/13923730.2012.698913

Khabisi, J., Aigbavboa, C., & Thwala, W. (2017). Causes of Cost Overruns in Public Sector Construction Projects in South Africa. In: Proceedings of the International Conference on Construction and Real Estate Management 2016. https://doi.org/10.1061/9780784480274.162

Khair, K., Mohamed, Z., Mohammad, R., et al. (2017). A Management Framework to Reduce Delays in Road Construction Projects in Sudan. Arabian Journal for Science and Engineering, 43(4), 1925–1940. https://doi.org/10.1007/s13369-017-2806-6

Khatib, B. A., Poh, Y. S., & El-Shafie, A. (2020). Delay Factors Management and Ranking for Reconstruction and Rehabilitation Projects Based on the Relative Importance Index (RII). Sustainability, 12(15), 6171. https://doi.org/10.3390/su12156171

Kikwasi, G. J. (2012). Causes and Effects of Delays and Disruptions in Construction Projects in Tanzania. Australasian Journal of Construction Economics and Building—Conference Series, 1(2).

Kim, H., Soibelman, L., & Grobler, F. (2008). Factor selection for delay analysis using Knowledge Discovery in Databases. Automation in Construction, 17(5), 550–560. https://doi.org/10.1016/j.autcon.2007.10.001

Kononenko, I. (1991). Semi-naive bayesian classifier. Machine Learning—EWSL-91, 206–219. https://doi.org/10.1007/bfb0017015

Koushki, P. A., Al‐Rashid, K., & Kartam, N. (2005). Delays and cost increases in the construction of private residential projects in Kuwait. Construction Management and Economics, 23(3), 285–294. https://doi.org/10.1080/0144619042000326710

Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308

Langley, P., & Sage, S. (1994). Induction of Selective Bayesian Classifiers. Uncertainty Proceedings 1994, 399–406. https://doi.org/10.1016/b978-1-55860-332-5.50055-9

Larsen, J. K., Shen, G. Q., Lindhard, S. M., & Brunoe, T. D. (2016). Factors affecting schedule delay, cost overrun, and quality level in public construction projects. Journal of management in engineering, 32(1). https://doi.org/10.1061/(ASCE)ME.1943–5479.0000391

Mahamid, I. (2013). Common risks affecting time overrun in road construction projects in Palestine: Contractors’ perspective. Construction Economics and Building, 13(2), 45–53. https://doi.org/10.5130/ajceb.v13i2.3194

Mahamid, I., Bruland, A., & Dmaidi, N. (2012). Causes of delay in road construction projects. Journal of management in engineering, 28(3), 300–310. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000096

Marzouk, M. M., & El-Rasas, T. I. (2014). Analyzing delay causes in Egyptian construction projects. Journal of Advanced Research, 5(1), 49–55. https://doi.org/10.1016/j.jare.2012.11.005

Memon, A. H., Abdul Rahman, I., Abdullah, M. R., et al. (2011). Time Overrun in Construction Projects from the Perspective of Project Management Consultant (PMC). Journal of Surveying, Construction & Property, 2(1), 1–13. https://doi.org/10.22452/jscp.vol2no1.4

Muhwezi, L., Acai, J., & Otim, G. (2014). An assessment of the factors causing delays on building construction projects in Uganda. International journal of construction engineering and management, 3(1), 13–23. https://doi.org/10.5923/j.ijcem.20140301.02.

Muneeswaran, G., Manoharan, P., Awoyera, P. O., et al. (2018). A statistical approach to assess the schedule delays and risks in Indian construction industry. International Journal of Construction Management, 20(5), 450–461. https://doi.org/10.1080/15623599.2018.1484991

Naik, M. G., & Radhika, V. (2015). Time and cost analysis for highway road construction project using artificial neural networks. Journal of Construction Engineering and Project Management, 5(1), 26–31. https://doi.org/10.6106/JCEPM.2015.5.1.026

Niazi, G. A., & Painting, N. (2017). Significant Factors Causing Cost Overruns in the Construction Industry in Afghanistan. Procedia Engineering, 182, 510–517. https://doi.org/10.1016/j.proeng.2017.03.145

Prasad, K. V., Vasugi, V., Venkatesan, R., & Bhat, N. (2019). Analysis of causes of delay in Indian construction projects and mitigation measures. Journal of Financial Management of Property and Construction, 24(1), 58–78. https://doi.org/10.1108/jfmpc-04-2018-0020

Phonthan, P. (2012). Factors causing delays in construction works of automatic inspection gate installation projects: A case study of the Port of Bangkok [Master’s thesis]. King Mongkut’s University of Technology Thonburi.

Polat, G., Okay, F., & Eray, E. (2014). Factors Affecting Cost Overruns in Micro-scaled Construction Companies. Procedia Engineering, 85, 428–435. https://doi.org/10.1016/j.proeng.2014.10.569

Pooworakulchai, C., Kongsong, W., & Kongbenjapuch, K. (2016). The effects of government’s construction contract administration. International Journal of Engineering Research and Management (IJERM), 3, 39–43.

Pooworakulchai, C., Kongsong, W., & Kongbenjapuch, K. (2017). Affecting on contract administration in government construction projects. International Journal of Applied Engineering Research, 12(9), 2079–2086.

Rachid, Z., Toufik, B., & Mohammed, B. (2018). Causes of schedule delays in construction projects in Algeria. International Journal of Construction Management, 19(5), 371–381. https://doi.org/10.1080/15623599.2018.1435234

Rahman, M. D., Lee, Y. D., & Ha, D. K. (2014). Investigating main causes for schedule delay in construction projects in Bangladesh. Journal of Construction Engineering and Project Management, 4(3), 33–46. https://doi.org/10.6106/JCEPM.2014.4.3.033

Samarghandi, H., Tabatabaei, S. M. M., Taabayan, P., et al. (2016). Studying the Reasons for Delay and Cost Overrun in Construction Projects: The Case of Iran. Journal of Construction in Developing Countries, 21(1), 51–84. https://doi.org/10.21315/jcdc2016.21.1.4

Sambasivan, M., & Soon, Y. W. (2007). Causes and effects of delays in Malaysian construction industry. International Journal of Project Management, 25(5), 517–526. https://doi.org/10.1016/j.ijproman.2006.11.007

Sanni-Anibire, M. O., Mohamad Zin, R., & Olatunji, S. O. (2020). Causes of delay in the global construction industry: a meta analytical review. International Journal of Construction Management, 22(8), 1395–1407. https://doi.org/10.1080/15623599.2020.1716132

Senouci, A., Ismail, A., & Eldin, N. (2016). Time Delay and Cost Overrun in Qatari Public Construction Projects. Procedia Engineering, 164, 368–375. https://doi.org/10.1016/j.proeng.2016.11.632

Sethakampu, J., & Suksil, N. (2019). Causes of delays in large building construction projects. Engineering Journal of Srinakharinwirot University, 3(14), 110–118.

Shafiq, M., Akhtar, A., Tahir, A. H., et al. (2021). Efficiency and effectiveness of humanitarian organizations’ logistics and supply chain management: a systematic review. Palarch’s journal of archaeology of Egypt/Egyptology, 18(7), 811–855.

Shafiq, M., & Soratana, K. (2019). Lean and agile paradigms in humanitarian organizations? Logistics and supply chain management. Logforum, 15(1), 139–153. https://doi.org/10.17270/j.log.2019.294

Shah, M. N., Dixit, S., Kumar, R., et al. (2019). Causes of delays in slum reconstruction projects in India. International Journal of Construction Management, 21(5), 452–467. https://doi.org/10.1080/15623599.2018.1560546

Shrivas, A., & Singla, H. K. (2020). Analysis of interaction among the factors affecting delay in construction projects using interpretive structural modelling approach. International Journal of Construction Management, 22(8), 1455–1463. https://doi.org/10.1080/15623599.2020.1728486

Srdić, A., & Šelih, J. (2015). Delays in Construction Projects: Causes and Mitigation. Organization, Technology & Management in Construction: An International Journal, 7(3), 1383–1389. https://doi.org/10.5592/otmcj.2015.3.5

Sunjka, B. P., & Jacob, U. (2013). Significant causes and effects of project delays in the Niger delta region, Nigeria. Southern African Institute of Industrial Engineering, 641–14.

Sweis, G., Sweis, R., Abu Hammad, A., et al. (2008). Delays in construction projects: The case of Jordan. International Journal of Project Management, 26(6), 665–674. https://doi.org/10.1016/j.ijproman.2007.09.009

Tafazzoli, M., & Shrestha, P. P. (2017). Investigating Causes of Delay in US Construction Projects. In: Proceedings of the 53rd ASC Annual International Conference. pp. 611–621.

Tariq, J., & Shujaa Safdar Gardezi, S. (2023). Study the delays and conflicts for construction projects and their mutual relationship: A review. Ain Shams Engineering Journal, 14(1), 101815. https://doi.org/10.1016/j.asej.2022.101815

Tashfeen, R., Saleem, I., Ashfaq, M., et al. (2023). How Do Women on Board Reduce a Firm’s Risks to Ensure Sustainable Performance during a Crisis? Sustainability, 15(14), 11145. https://doi.org/10.3390/su151411145

Thomas, A. V., Kalidindi, S. N., & Ganesh, L. S. (2006). Modelling and assessment of critical risks in BOT road projects. Construction Management and Economics, 24(4), 407–424. https://doi.org/10.1080/01446190500435275

Tumi, S. A. H., Omran, A., & Pakir, A. H. K. (2009). Causes of delay in construction industry in Libya. In: The International Conference on Economics and Administration. 265–272.

Vacanas, Y., & Danezis, C. (2018). An overview of the risk of delay in Cyprus construction industry. International Journal of Construction Management, 21(4), 369–381. https://doi.org/10.1080/15623599.2018.1541703

Wang, J., & Yuan, H. (2017). System dynamics approach for investigating the risk effects on schedule delay in infrastructure projects. Journal of Management in Engineering, 33(1). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000472

Wang, Y., & Yan, K. (2023). Machine learning-based quantitative trading strategies across different time intervals in the American market. Quantitative Finance and Economics, 7(4), 569–594. https://doi.org/10.3934/qfe.2023028

Watanabe, W. C., & Shafiq, M. (2023). A Study on the Impact of Digital Marketing on Business Practices. Business Review of Digital Revolution, 3(1), 1–10.

Watanabe, W. C., Shafiq, M., Nawaz, M. J., et al. (2024). The impact of emotional intelligence on project success: Mediating role of team cohesiveness and moderating role of organizational culture. International Journal of Engineering Business Management, 16. https://doi.org/10.1177/18479790241232508

Wutthipong, A. (2013). Factors affecting delays in construction projects in the Northeastern region of Thailand [Master’s thesis]. Suranaree University of Technology, Thailand.

Yan, K., Wang, Y., & Li, Y. (2023). Enhanced Bollinger Band Stock Quantitative Trading Strategy Based on Random Forest. Artificial Intelligence Evolution, 22–33. https://doi.org/10.37256/aie.4120231991

Yitmen, I., & Soujeri, E. (2010). An artificial neural network model for estimating the influence of change orders on project performance and dispute resolution. Safety, 9(3), 3–4.




DOI: https://doi.org/10.24294/jipd.v8i8.6208

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