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Delay in Decision-Making Affecting Construction Projects: A Sustainable Decision-Making Model for Mega Projects

Author

Listed:
  • Shabir Hussain Khahro

    (Department of Engineering Management, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia)

  • Haseeb Haleem Shaikh

    (Jamilus Research Center, Faculty of Civil Engineering & Built Environment, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat 86400, Malaysia)

  • Noor Yasmin Zainun

    (Jamilus Research Center, Faculty of Civil Engineering & Built Environment, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat 86400, Malaysia)

  • Basel Sultan

    (Department of Engineering Management, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia)

  • Qasim Hussain Khahro

    (Jamilus Research Center, Faculty of Civil Engineering & Built Environment, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat 86400, Malaysia)

Abstract

The construction industry is one of the world’s fastest-growing industries, since it directly and indirectly contributes to several other industries. It has been observed that delays in the decision making of important stakeholders negatively impact construction projects. Thus, this has multiple consequences on project performance. Consequently, the purpose of this study was to identify the primary causes of delayed decision-making and offer a decision support model for timely construction project decisions. For factor identification, a comprehensive literature analysis was conducted, followed by an analysis of questionnaire responses of ninety-one professionals. For data analysis, the relative importance index (RII) method was applied. The results indicate that client decision-making delays pose a substantial obstacle for building projects. The early decision-making process is impacted by a lack of technical competence, incomplete paperwork, poor leadership, and coordination/communication issues. The proposed model could also assist project practitioners in improving their project decision making. This research study encourages stakeholders to create and implement an efficient decision-making procedure for timely project decisions. A procedure for decision making that is successful could decrease delays in the decision-making process and prevent conflicts and disputes in projects.

Suggested Citation

  • Shabir Hussain Khahro & Haseeb Haleem Shaikh & Noor Yasmin Zainun & Basel Sultan & Qasim Hussain Khahro, 2023. "Delay in Decision-Making Affecting Construction Projects: A Sustainable Decision-Making Model for Mega Projects," Sustainability, MDPI, vol. 15(7), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5872-:d:1109642
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    References listed on IDEAS

    as
    1. Zhang, Huanhuan & Kou, Gang & Peng, Yi, 2019. "Soft consensus cost models for group decision making and economic interpretations," European Journal of Operational Research, Elsevier, vol. 277(3), pages 964-980.
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    Cited by:

    1. Mir Aftab Hussain Talpur & Shabir Hussain Khahro & Muhammad Saad Khan & Fahad Ahmed Shaikh & Yasir Javed, 2024. "Aftermaths of COVID-19 Lockdown on Socioeconomic and Psychological Nexus of Urban Population: A Case in Hyderabad, Pakistan," Societies, MDPI, vol. 14(8), pages 1-25, August.
    2. Fatima Afzal & Roksana Jahan Tumpa, 2024. "Exploring Leadership Styles to Foster Sustainability in Construction Projects: A Systematic Literature Review," Sustainability, MDPI, vol. 16(3), pages 1-32, January.
    3. Bhagwan Das & Amr Adel & Tony Jan & M. D. Wahiduzzaman, 2025. "Water Quality Management using Federated Deep Learning in Developing Southeastern Asian Country," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(4), pages 1893-1909, March.
    4. Islam Elmasoudi & Emad Elbeltagi & Wael Alattyih & Hossam Wefki, 2024. "Eco-Friendly Scheduling Model for Construction Projects Utilizing Genetic Algorithms," Sustainability, MDPI, vol. 16(24), pages 1-19, December.
    5. repec:zna:indecs:v:21:y:2023:i:4:p:412-420 is not listed on IDEAS

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