IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i17p7323-d1464069.html
   My bibliography  Save this article

Evaluating the Digital Transformation Potential in Pre-Construction for Sustainable Practices Using Structural Equation Modeling

Author

Listed:
  • Khalid K. Naji

    (Civil and Environmental Engineering Department, College of Engineering, Qatar University, Doha 2713, Qatar)

  • Murat Gunduz

    (Civil and Environmental Engineering Department, College of Engineering, Qatar University, Doha 2713, Qatar)

  • Fahid Al-Henzab

    (Engineering Management Department, College of Engineering, Qatar University, Doha 2713, Qatar)

Abstract

This study presents the development of a comprehensive model for evaluating the level of readiness of buildings for digital transformation during the pre-construction phase. The proposed model utilizes structural equation modeling (SEM) and includes a full list of key factors for achieving success. This tool is designed to support industry stakeholders in assessing operational efficiency in terms of digital transformation readiness in the pre-construction phase (DTRPC) and analyze the effectiveness and limitations of DTRPC across various management levels. Key success factors were identified through interviews with experts and a review of the relevant literature. These variables were then validated through two rounds of the 8 Delphi technique, which included the input of 13 highly qualified experts. Finally, an online questionnaire was disseminated to industry professionals, who assessed the factors’ relative levels of significance. Questionnaire responses were collected from a sample of 300 individuals from different professional fields. SEM was then used to quantitatively analyze the relationships between the various components of the DTRPC success factors. The goal was to determine the impact of each construct on the overall level of readiness. The model underwent a thorough evaluation to determine its strength and stability across several parameters, including accuracy, conformity to multivariate normalcy, and reliability and validity. A hypothesis analysis was also conducted. The collected data were used to develop the proposed DTRPC model, consisting of 30 essential performance indicators grouped into four categories. The use of SEM uncovered a significant correlation between the operational indicators of these critical factors and the construct groups, as well as the influence of effective DTRPC constructs on overall project performance. This research expands the current knowledge by identifying important indications for evaluating the success of the DTRPC model and using them to create a comprehensive global SEM that can be used as a tool for measuring readiness at the pre-construction stage. This has the potential to provide essential assistance to organizations, project managers, and policymakers in making informed decisions.

Suggested Citation

  • Khalid K. Naji & Murat Gunduz & Fahid Al-Henzab, 2024. "Evaluating the Digital Transformation Potential in Pre-Construction for Sustainable Practices Using Structural Equation Modeling," Sustainability, MDPI, vol. 16(17), pages 1-33, August.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7323-:d:1464069
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/17/7323/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/17/7323/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gao, Shengyi & Mokhtarian, Patricia L. & Johnston, Robert A., 2008. "Non-normality of Data in Structural Equation Models," University of California Transportation Center, Working Papers qt7nf8f0v7, University of California Transportation Center.
    2. Hamad Almujibah, 2023. "Assessment of Building Information Modeling (BIM) as a Time and Cost-Saving Construction Management Tool: Evidence from Two-Story Villas in Jeddah," Sustainability, MDPI, vol. 15(9), pages 1-26, April.
    3. Zaheer Allam & Ayyoob Sharifi & Simon Elias Bibri & David Sydney Jones & John Krogstie, 2022. "The Metaverse as a Virtual Form of Smart Cities: Opportunities and Challenges for Environmental, Economic, and Social Sustainability in Urban Futures," Post-Print hal-03997438, HAL.
    4. Tatsiana Haponava & Saad Al‐Jibouri, 2009. "Identifying key performance indicators for use in control of pre‐project stage process in construction," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 58(2), pages 160-173, January.
    5. Liaquat Hossain, 2009. "Communications and coordination in construction projects," Construction Management and Economics, Taylor & Francis Journals, vol. 27(1), pages 25-39.
    6. Ping, Robert Jr., 2004. "On assuring valid measures for theoretical models using survey data," Journal of Business Research, Elsevier, vol. 57(2), pages 125-141, February.
    7. Chen, Rui & Meng, Qiang & Yu, Jiayi Joey, 2023. "Optimal government incentives to improve the new technology adoption: Subsidizing infrastructure investment or usage?," Omega, Elsevier, vol. 114(C).
    Full references (including those not matched with items on IDEAS)

    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. Robertas Damaševičius, 2023. "From E-commerce to V-commerce: Understanding the impact of virtual reality and metaverse on economic activities," Journal of Information Economics, Anser Press, vol. 1(3), pages 55-79, October.
    2. G. Rejikumar & Aswathy Asokan-Ajitha & Sofi Dinesh & Ajay Jose, 2022. "The role of cognitive complexity and risk aversion in online herd behavior," Electronic Commerce Research, Springer, vol. 22(2), pages 585-621, June.
    3. Kipnis, Eva & Demangeot, Catherine & Pullig, Chris & Broderick, Amanda J., 2019. "Consumer Multicultural Identity Affiliation: Reassessing identity segmentation in multicultural markets," Journal of Business Research, Elsevier, vol. 98(C), pages 126-141.
    4. Teresa Barros & Paula Rodrigues & Nelson Duarte & Xue-Feng Shao & F. V. Martins & H. Barandas-Karl & Xiao-Guang Yue, 2020. "The Impact of Brand Relationships on Corporate Brand Identity and Reputation—An Integrative Model," JRFM, MDPI, vol. 13(6), pages 1-21, June.
    5. Meents, S. & Verhagen, T. & Vlaar, P.W.L., 2011. "How sellers can stimulate purchasing in electronic marketplaces: Using information as a risk reduction signal," Serie Research Memoranda 0014, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    6. Yongzhong Yang & Mohsin Shafi, 2020. "How does customer and supplier cooperation in micro-enterprises affect innovation? Evidence from Pakistani handicraft micro-enterprises," Asian Business & Management, Palgrave Macmillan, vol. 19(5), pages 530-559, November.
    7. Ding, Yanyan & Jian, Sisi, 2024. "Strategic investment in charging infrastructure: Sharing costs or taking over?," Applied Energy, Elsevier, vol. 376(PA).
    8. Park, Gain & Park, YounJung & Lee, Seyoung, 2024. "Compliance-gaining in metaverse: A moderated parallel mediation model testing the interaction between legitimization of paltry favors technique and victim identification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    9. Justina GineikienÄ—, 2013. "Consumer Nostalgia Literature Review And An Alternative Measurement Perspective," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 4(2).
    10. Chandra Mahapatra, Subas & Bellamkonda, Raja Shekhar, 2023. "Higher expectations of passengers do really sense: Development and validation a multiple scale-FliQual for air transport service quality," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    11. Saveria Olga Murielle Boulanger, 2024. "Smart City and Energy: A Bibliometric Review of the Smart City and Smart Energy Concept from the Perspective of the Bioclimatic Approach," Energies, MDPI, vol. 17(11), pages 1-21, May.
    12. Sun, Yanru & Sun, Hao & Sun, Panfei & Jin, Xuanzhu & Yang, Yimei, 2025. "Elevating the corporate social responsibility level: A media supervision mechanism based on the Stackelberg-Evolutionary game model," Omega, Elsevier, vol. 131(C).
    13. Verhagen, Tibert & Meents, Selmar, 2007. "A Framework for Developing Semantic Differentials in IS research: Assessing the Meaning of Electronic Marketplace Quality (EMQ)," Serie Research Memoranda 0016, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    14. Magdalena Öberseder & Bodo Schlegelmilch & Patrick Murphy & Verena Gruber, 2014. "Consumers’ Perceptions of Corporate Social Responsibility: Scale Development and Validation," Journal of Business Ethics, Springer, vol. 124(1), pages 101-115, September.
    15. Li, Sihong & Chen, Jinglong, 2024. "Virtual human on social media: Text mining and sentiment analysis," Technology in Society, Elsevier, vol. 78(C).
    16. Bianchi, Constanza & Abu Saleh, Md., 2020. "Investigating SME importer–foreign supplier relationship trust and commitment," Journal of Business Research, Elsevier, vol. 119(C), pages 572-584.
    17. Abolmohammad Bondori & Asghar Bagheri & Christos A. Damalas, 2024. "Protective behavior in chemical spraying among farmers of northern Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 17673-17685, July.
    18. Nathaniel Boso & Paige S Carter & Jonathan Annan, 2016. "When is brand orientation a useful strategic posture?," Journal of Brand Management, Palgrave Macmillan, vol. 23(4), pages 363-382, July.
    19. Silvina Santana & Sandra Loureiro, 2010. "Assessing Benefits And Risks Of Online Shopping In Spain And Scotland," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(2), pages 161-172.
    20. Kyoko Fukukawa & Christine Ennew, 2010. "What We Believe Is Not Always What We Do: An Empirical Investigation into Ethically Questionable Behavior in Consumption," Journal of Business Ethics, Springer, vol. 91(1), pages 49-60, February.

    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:16:y:2024:i:17:p:7323-:d:1464069. 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.