IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i2p815-d481109.html
   My bibliography  Save this article

Go/No-Go Decision Model for Owners Using Exhaustive CHAID and QUEST Decision Tree Algorithms

Author

Listed:
  • Murat Gunduz

    (Department of Civil and Architectural Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Hamza M. A. Lutfi

    (College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

Abstract

Go/no-go execution decisions are one of the most important strategic decisions for owners during the early stages of construction projects. Restructuring the process of decision-making during these early stages may have sustainable results in the long run. The purpose of this paper is to establish proper go/no-go decision-tree models for owners. The decision-tree models were developed using Exhaustive Chi-square Automatic Interaction Detector (Exhaustive CHAID) and Quick, Unbiased, Efficient Statistical Tree (QUEST) algorithms. Twenty-three go/no-go key factors were collected through an extensive literature review. These factors were divided into four main risk categories: organizational, project/technical, legal, and financial/economic. In a questionnaire distributed among the construction professionals, the go/no-go variables were asked to be ranked according to their perceived significance. Split-sample validation was applied for testing and measuring the accuracy of the Exhaustive CHAID and QUEST models. Moreover, Spearman’s rank correlation and analysis of variance (ANOVA) tests were employed to identify the statistical features of the 100 responses received. The result of this study benchmarks the current assessment models and develops a simple and user-friendly decision model for owners. The model is expected to evaluate anticipated risk factors in the project and reduce the level of uncertainty. The Exhaustive CHAID and QUEST models are validated by a case study. This paper contributes to the current body of knowledge by identifying the factors that have the biggest effect on an owner’s decision and introducing Exhaustive CHAID and QUEST decision-tree models for go/no-go decisions for the first time, to the best of the authors’ knowledge. From the “sustainability” viewpoint, this study is significant since the decisions of the owner, based on a rigorous model, will yield sustainable and efficient projects.

Suggested Citation

  • Murat Gunduz & Hamza M. A. Lutfi, 2021. "Go/No-Go Decision Model for Owners Using Exhaustive CHAID and QUEST Decision Tree Algorithms," Sustainability, MDPI, vol. 13(2), pages 1-24, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:815-:d:481109
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/2/815/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/2/815/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ahsan Nawaz & Ahsan Waqar & Syyed Adnan Raheel Shah & Muhammad Sajid & Muhammad Irslan Khalid, 2019. "An Innovative Framework for Risk Management in Construction Projects in Developing Countries: Evidence from Pakistan," Risks, MDPI, vol. 7(1), pages 1-10, February.
    2. Arshi Shakeel Faridi & Sameh Monir El-Sayegh, 2006. "Significant factors causing delay in the UAE construction industry," Construction Management and Economics, Taylor & Francis Journals, vol. 24(11), pages 1167-1176.
    3. Woosik Jang & Jung Ki Lee & Jaebum Lee & Seung Heon Han, 2015. "Naïve Bayesian Classifier for Selecting Good/Bad Projects during the Early Stage of International Construction Bidding Decisions," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-12, September.
    4. J. -P. Vandamme & N. Meskens & J. -F. Superby, 2007. "Predicting Academic Performance by Data Mining Methods," Education Economics, Taylor & Francis Journals, vol. 15(4), pages 405-419.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhao Xu & Weijie Pan & Yukang Hou & Kailun He & Jian Lv, 2022. "A Decision Tree Model for Analysis and Judgment of Lower Limb Movement Comfort Level," IJERPH, MDPI, vol. 19(11), pages 1-21, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Basem Al Khatib & Yap Soon Poh & Ahmed El-Shafie, 2018. "Delay Factors in Reconstruction Projects: A Case Study of Mataf Expansion Project," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    2. Ahsan Nawaz & Xing Su & Qaiser Mohi Ud Din & Muhammad Irslan Khalid & Muhammad Bilal & Syyed Adnan Raheel Shah, 2020. "Identification of the H&S (Health and Safety Factors) Involved in Infrastructure Projects in Developing Countries-A Sequential Mixed Method Approach of OLMT-Project," IJERPH, MDPI, vol. 17(2), pages 1-18, January.
    3. Ji, Chenyi & Su, Xing & Qin, Zhongfu & Nawaz, Ahsan, 2022. "Probability Analysis of Construction Risk based on Noisy-or Gate Bayesian Networks," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    4. Nicholas Thom & Andrew Dawson, 2019. "Sustainable Road Design: Promoting Recycling and Non-Conventional Materials," Sustainability, MDPI, vol. 11(21), pages 1-12, November.
    5. R. Jayaraman, 2021. "An Empirical Study of Delays in Large Engineering Projects: An Indian Experience," Jindal Journal of Business Research, , vol. 10(1), pages 49-76, June.
    6. Yazan Issa Abu Aisheh, 2021. "Lessons Learned, Barriers, and Improvement Factors for Mega Building Construction Projects in Developing Countries: Review Study," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
    7. Achintya Ghatak & Adarsh Garg, 2022. "Power transmission project: a framework to align project success with organization goal," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(4), pages 1817-1833, August.
    8. Hsu-Shih Shih & I-Fei Chen & Nolberto Munier & Zena Alcide, 2023. "Investigating Risk-Constraint Nexus of Construction Projects in Caribbean Small Island Developing States," SAGE Open, , vol. 13(1), pages 21582440231, March.
    9. Antonio Héctor Álvarez-Pozo & Miguel Ignacio Parma-García & Isabel Ortiz-Marcos & Luis Fernando Bautista & Evangelina Atanes-Sánchez, 2024. "Analysis of Causes of Delays and Cost Overruns as Well as Mitigation Measures to Improve Profitability and Sustainability in Turnkey Industrial Projects," Sustainability, MDPI, vol. 16(4), pages 1-16, February.
    10. Deena Badran & Radhi AlZubaidi & Senthilkumar Venkatachalam, 2023. "Identification of Key Design Phase-Related Risks in DBB Projects in the UAE—Towards Developing a BIM Solution," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    11. Dr. Mwenda, Mary Nyawira & Dr. Otieno- Omutoko Lillian & Prof. Christopher Gakuu, 2021. "The Nexus between Project Monitoring and Evaluation and Quality of Residential Buildings in Nairobi County, Kenya," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 5(1), pages 354-362, January.
    12. Ihsan Issa Ahmad Hosani & Fikri T. Dweiri & Udechukwu Ojiako, 0. "A study of cost overruns in complex multi-stakeholder road projects in the United Arab Emirates," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-10.
    13. Hongtao Xie & Junwei Zheng & Yunhua Zhang & Hongyang Li, 2019. "Effects of Payment Delays at Two Links in Payment Chains on the Progress of Construction Projects: System Dynamic Modeling and Simulation," Sustainability, MDPI, vol. 11(15), pages 1-25, July.
    14. Cindi Mason & Janet Twomey & David Wright & Lawrence Whitman, 2018. "Predicting Engineering Student Attrition Risk Using a Probabilistic Neural Network and Comparing Results with a Backpropagation Neural Network and Logistic Regression," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(3), pages 382-400, May.
    15. Hussain, Shahid & Xuetong, Wang & Maqbool, Rashid & Hussain, Mustansar & Shahnawaz, Muhammad, 2022. "The influence of government support, organizational innovativeness and community participation in renewable energy project success: A case of Pakistan," Energy, Elsevier, vol. 239(PC).
    16. Hui-Ping Tserng & I-Cheng Cho & Chun-Hung Chen & Yu-Fan Liu, 2021. "Developing a Risk Management Process for Infrastructure Projects Using IDEF0," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
    17. Goutom K. Pall & Adrian J. Bridge & Jason Gray & Martin Skitmore, 2019. "Causes of Delay in Power Transmission Projects: An Empirical Study," Energies, MDPI, vol. 13(1), pages 1-29, December.
    18. Annalina Sarra & Lara Fontanella & Simone Zio, 2019. "Identifying Students at Risk of Academic Failure Within the Educational Data Mining Framework," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 41-60, November.
    19. Ihsan Issa Ahmad Hosani & Fikri T. Dweiri & Udechukwu Ojiako, 2020. "A study of cost overruns in complex multi-stakeholder road projects in the United Arab Emirates," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1250-1259, December.
    20. Behr Andreas & Giese Marco & Teguim K Herve D. & Theune Katja, 2020. "Early Prediction of University Dropouts – A Random Forest Approach," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(6), pages 743-789, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:815-:d:481109. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.