IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i17p3185-d905908.html
   My bibliography  Save this article

A Framework for Project Delivery Systems via Hybrid Fuzzy Risk Analysis: Application and Extension in ICT

Author

Listed:
  • Mohammad Javad Bidel

    (Faculty of Management, University of Tehran, Tehran 1411713114, Iran)

  • Hossein Safari

    (Faculty of Management, University of Tehran, Tehran 1411713114, Iran)

  • Hannan Amoozad Mahdiraji

    (School of Business, University of Leicester, Leicester LE1 7RH, UK)

  • Edmundas Kazimieras Zavadskas

    (Institute of Sustainable Construction, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania)

  • Jurgita Antucheviciene

    (Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania)

Abstract

One of the essential factors of project success is selecting the proper delivery method. This study aimed to provide a new hybrid decision-making framework to assist project stakeholders in evaluating and selecting the most appropriate Project Delivery System (PDS) and documenting the decision process. For this purpose, the selection factors of PDSs were obtained from a literature review, and critical selection factors were screened based on the fuzzy Delphi method, whereby expert feedback was on Information and Communication Technology (ICT) projects was obtained. Subsequently, the ICT project risks were identified and categorized into six competitive constraints, including time, cost, quality, reputation, value, and scope, and the risk factors were prioritized in each area. Then, the effect of project risks on the decision criteria was investigated using a fuzzy cognitive map (FCM). Finally, the PDSs were ranked through Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS). This article researched a novel multi-layer decision system combining the FCM and FTOPSIS techniques. The decision criteria received their weights from the evaluation of the causal relationships between PDS selection factors and project risks. Thus, PDSs were ranked based on different project characteristics, the opinions of stakeholders, and the effect of project risks on the decision-making process; this increased the likelihood of project success. The results showed that the impact of the most critical project risks on the selection factors was so severe that they changed the weight of the criteria in the decision matrix and, subsequently, changed the ranking of decision options.

Suggested Citation

  • Mohammad Javad Bidel & Hossein Safari & Hannan Amoozad Mahdiraji & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene, 2022. "A Framework for Project Delivery Systems via Hybrid Fuzzy Risk Analysis: Application and Extension in ICT," Mathematics, MDPI, vol. 10(17), pages 1-22, September.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:17:p:3185-:d:905908
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/17/3185/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/17/3185/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alptekin Ulutaş & Gabrijela Popovic & Dragisa Stanujkic & Darjan Karabasevic & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2020. "A New Hybrid MCDM Model for Personnel Selection Based on a Novel Grey PIPRECIA and Grey OCRA Methods," Mathematics, MDPI, vol. 8(10), pages 1-14, October.
    2. Phi-Hung Nguyen & Naeem Jan, 2022. "Spherical Fuzzy Decision-Making Approach Integrating Delphi and TOPSIS for Package Tour Provider Selection," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-29, May.
    3. Katarzyna Poczeta & Elpiniki I. Papageorgiou & Vassilis C. Gerogiannis, 2020. "Fuzzy Cognitive Maps Optimization for Decision Making and Prediction," Mathematics, MDPI, vol. 8(11), pages 1-15, November.
    4. Soltani, Elham, 2020. "Business and project strategy alignment: ICT project success in Iran," Technology in Society, Elsevier, vol. 63(C).
    5. Bahareh Nikmehr & M. Reza Hosseini & Igor Martek & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene, 2021. "Digitalization as a Strategic Means of Achieving Sustainable Efficiencies in Construction Management: A Critical Review," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    6. Ezzatollah Asgharizadeh & Sobhan Jooybar & Hannan Amoozad Mahdiraji & Jose Arturo Garza-Reyes, 2022. "A Novel Travel Time Estimation Model for Modeling a Green Time-Dependent Vehicle Routing Problem in Food Supply Chain," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    7. Neha Ghorui & Arijit Ghosh & Ebrahem A. Algehyne & Sankar Prasad Mondal & Apu Kumar Saha, 2020. "AHP-TOPSIS Inspired Shopping Mall Site Selection Problem with Fuzzy Data," Mathematics, MDPI, vol. 8(8), pages 1-22, August.
    8. Mehdi Keshavarz-Ghorabaee & Maghsoud Amiri & Mohammad Hashemi-Tabatabaei & Edmundas Kazimieras Zavadskas & Arturas Kaklauskas, 2020. "A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation," Mathematics, MDPI, vol. 8(12), pages 1-24, December.
    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. Luz E. Gutiérrez & José Javier Samper & Daladier Jabba & Wilson Nieto & Carlos A. Guerrero & Mark M. Betts & Héctor A. López-Ospina, 2023. "Combined Framework of Multicriteria Methods to Identify Quality Attributes in Augmented Reality Applications," Mathematics, MDPI, vol. 11(13), pages 1-39, June.

    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. Arunodaya Raj Mishra & Pratibha Rani & Dragan Pamucar & Abhijit Saha, 2024. "An integrated Pythagorean fuzzy fairly operator-based MARCOS method for solving the sustainable circular supplier selection problem," Annals of Operations Research, Springer, vol. 342(1), pages 523-564, November.
    2. Tsai, Pei-Hsuan & Kao, Ya-Ling & Kuo, Szu-Yu, 2023. "Exploring the critical factors influencing the outlying island talent recruitment and selection evaluation model: Empirical evidence from Penghu, Taiwan," Evaluation and Program Planning, Elsevier, vol. 99(C).
    3. Donghun Lee, 2022. "Knowledge Gradient: Capturing Value of Information in Iterative Decisions under Uncertainty," Mathematics, MDPI, vol. 10(23), pages 1-20, November.
    4. Umut Asan & Ayberk Soyer, 2022. "A Weighted Bonferroni-OWA Operator Based Cumulative Belief Degree Approach to Personnel Selection Based on Automated Video Interview Assessment Data," Mathematics, MDPI, vol. 10(9), pages 1-33, May.
    5. Nandi, Sandip & Granata, Giuseppe & Jana, Subrata & Ghorui, Neha & Mondal, Sankar Prasad & Bhaumik, Moumita, 2023. "Evaluation of the treatment options for COVID-19 patients using generalized hesitant fuzzy- multi criteria decision making techniques," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    6. Škare, Marinko & Gavurova, Beata & Porada-Rochon, Malgorzata, 2024. "Digitalization and carbon footprint: Building a path to a sustainable economic growth," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    7. Radojko LUKIC, 2023. "Analysis of the Trade Performance of the European Union and Serbia on the Base of FF-WASPAS and WASPAS Methods," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 24(2), pages 228-250, May.
    8. Phi-Hung Nguyen, 2023. "A Fully Completed Spherical Fuzzy Data-Driven Model for Analyzing Employee Satisfaction in Logistics Service Industry," Mathematics, MDPI, vol. 11(10), pages 1-34, May.
    9. Guanqiao Zhang & Tao Wang & Yuhan Wang & Shuai Zhang & Wenhao Lin & Zixin Dou & Haitao Du, 2023. "Study on the Influencing Factors of Digital Transformation of Construction Enterprises from the Perspective of Dual Effects—A Hybrid Approach Based on PLS-SEM and fsQCA," Sustainability, MDPI, vol. 15(7), pages 1-22, April.
    10. Dalibor Gottwald & Jan Chocholáč & Merve Kayacı Çodur & Marjana Čubranić-Dobrodolac & Kubra Yazir, 2024. "Z-Numbers-Based MCDM Approach for Personnel Selection at Institutions of Higher Education for Transportation," Mathematics, MDPI, vol. 12(4), pages 1-21, February.
    11. Orang, Omid & de Lima e Silva, Petrônio Cândido & Guimarães, Frederico Gadelha, 2023. "Multi-output time series forecasting with randomized multivariate Fuzzy Cognitive Maps," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    12. Saraji, Mahyar Kamali & Streimikiene, Dalia, 2022. "Evaluating the circular supply chain adoption in manufacturing sectors: A picture fuzzy approach," Technology in Society, Elsevier, vol. 70(C).
    13. Çiğdem Sıcakyüz, 2023. "Analyzing Healthcare and Wellness Products’ Quality Embedded in Online Customer Reviews: Assessment with a Hybrid Fuzzy LMAW and Fermatean Fuzzy WASPAS Method," Sustainability, MDPI, vol. 15(4), pages 1-41, February.
    14. Svajone Bekesiene & Oleksandr Nakonechnyi & Olena Kapustyan & Rasa Smaliukiene & Ramutė Vaičaitienė & Dalia Bagdžiūnienė & Rosita Kanapeckaitė, 2023. "Determining the Main Resilience Competencies by Applying Fuzzy Logic in Military Organization," Mathematics, MDPI, vol. 11(10), pages 1-23, May.
    15. Vladimir Simic & Ali Ebadi Torkayesh & Abtin Ijadi Maghsoodi, 2023. "Locating a disinfection facility for hazardous healthcare waste in the COVID-19 era: a novel approach based on Fermatean fuzzy ITARA-MARCOS and random forest recursive feature elimination algorithm," Annals of Operations Research, Springer, vol. 328(1), pages 1105-1150, September.
    16. Kerry Anne London & Tanya Meade & Craig McLachlan, 2022. "Healthier Construction: Conceptualising Transformation of Mental Health Outcomes through an Integrated Supply Chain Model," Sustainability, MDPI, vol. 14(15), pages 1-13, August.
    17. Katarzyna Poczeta & Elpiniki I. Papageorgiou, 2022. "Energy Use Forecasting with the Use of a Nested Structure Based on Fuzzy Cognitive Maps and Artificial Neural Networks," Energies, MDPI, vol. 15(20), pages 1-18, October.
    18. Slaviša Dumnić & Katarina Mostarac & Milena Ninović & Bojan Jovanović & Sandra Buhmiler, 2022. "Application of the Choquet Integral: A Case Study on a Personnel Selection Problem," Sustainability, MDPI, vol. 14(9), pages 1-39, April.
    19. Rabia Charef, 2022. "Is Circular Economy for the Built Environment a Myth or a Real Opportunity?," Sustainability, MDPI, vol. 14(24), pages 1-5, December.
    20. Viktorija Terjanika & Jelena Pubule, 2022. "Barriers and Driving Factors for Sustainable Development of CO 2 Valorisation," Sustainability, MDPI, vol. 14(9), pages 1-16, April.

    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:jmathe:v:10:y:2022:i:17:p:3185-:d:905908. 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.