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Exploring Perceptions of the Adoption of Prefabricated Construction Technology in Pakistan Using the Technology Acceptance Model

Author

Listed:
  • Muhammad Hamza

    (Department of Construction Engineering and Management, NUST College of Civil Engineering, National University of Sciences and Technology, Risalpur 23200, Pakistan)

  • Rai Waqas Azfar

    (Department of Construction Engineering and Management, NUST College of Civil Engineering, National University of Sciences and Technology, Risalpur 23200, Pakistan)

  • Khwaja Mateen Mazher

    (Department of Construction Engineering and Management, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

  • Basel Sultan

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

  • Ahsen Maqsoom

    (Department of Civil Engineering, COMSATS University Islamabad, Wah Campus, Rawalpindi 47040, Pakistan)

  • Shabir Hussain Khahro

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

  • Zubair Ahmed Memon

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

Abstract

Prefabricated construction is being pursued globally as a critically important sustainable construction technology. Prefabricated construction technology (PCT) provides opportunities to effectively manage construction waste and offers venues to address the poor productivity and lackluster performance of construction projects, which are often expected to miss their budget and schedule constraints. Despite the significant benefits inherent in the adoption of PCT, research has shown an unimpressive exploitation of this technology in the building sector. A modified version of the popular technology acceptance model (TAM) was used to understand Pakistan’s building construction industry stakeholder’s acceptance of PCT and the factors that influence its usage. Data were collected from 250 building construction experts in the industry to test the hypotheses derived from the proposed model. Data analysis using covariance-based structural equation modeling revealed that construction industry stakeholders’ perceptions of perceived ease-of-use, perceived usefulness, trust, and satisfaction all strongly influenced PCT acceptance behavior. Moreover, results also confirmed the total direct and indirect effects of the perceived usefulness and perceived ease-of-use of behavioral intention toward using PCT, with trust and user satisfaction as mediators. The results of this research are expected to serve as a guide for the construction industry stakeholders to effectively plan, strategize, encourage, and increase the adoption of PCT to achieve sustainable construction outcomes in the building construction sector.

Suggested Citation

  • Muhammad Hamza & Rai Waqas Azfar & Khwaja Mateen Mazher & Basel Sultan & Ahsen Maqsoom & Shabir Hussain Khahro & Zubair Ahmed Memon, 2023. "Exploring Perceptions of the Adoption of Prefabricated Construction Technology in Pakistan Using the Technology Acceptance Model," Sustainability, MDPI, vol. 15(10), pages 1-25, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8281-:d:1150786
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    References listed on IDEAS

    as
    1. Tee, Richard & Davies, Andrew & Whyte, Jennifer, 2019. "Modular designs and integrating practices: Managing collaboration through coordination and cooperation," Research Policy, Elsevier, vol. 48(1), pages 51-61.
    2. Gefen, David & Straub, Detmar W., 2004. "Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services," Omega, Elsevier, vol. 32(6), pages 407-424, December.
    3. Yang Liu & Jianjun Dong & Ling Shen, 2020. "A Conceptual Development Framework for Prefabricated Construction Supply Chain Management: An Integrated Overview," Sustainability, MDPI, vol. 12(5), pages 1-29, March.
    4. Yue Zhai & Ray Y. Zhong & Zhi Li & George Huang, 2017. "Production lead-time hedging and coordination in prefabricated construction supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 55(14), pages 3984-4002, July.
    5. Barnes, Stuart J. & Mattsson, Jan, 2017. "Understanding collaborative consumption: Test of a theoretical model," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 281-292.
    6. Davood Askarany & Malcolm Smith, 2008. "Diffusion of innovation and business size: a longitudinal study of PACIA," Managerial Auditing Journal, Emerald Group Publishing Limited, vol. 23(9), pages 900-916, October.
    7. Yinghui Song & Junwu Wang & Feng Guo & Jiequn Lu & Sen Liu, 2021. "Research on Supplier Selection of Prefabricated Building Elements from the Perspective of Sustainable Development," Sustainability, MDPI, vol. 13(11), pages 1-24, May.
    8. Davood Askarany & Malcolm Smith, 2008. "Diffusion of innovation and business size: a longitudinal study of PACIA," Managerial Auditing Journal, Emerald Group Publishing, vol. 23(9), pages 900-916, October.
    9. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    10. Kim, Yeolib & Peterson, Robert A., 2017. "A Meta-analysis of Online Trust Relationships in E-commerce," Journal of Interactive Marketing, Elsevier, vol. 38(C), pages 44-54.
    11. Yean Sien Liew & Mohammad Falahat, 2019. "Factors influencing consumers' purchase intention towards online group buying in Malaysia," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 10(1), pages 60-77.
    12. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    13. Le Duc Toan & Nguyen Huu Phu & Ho Van Nhan & Ho Thi Phi Yen & Nguyen Quang Tam & Le Nguyen Ngoc Anh, 2018. "Technology Acceptance and Future of Internet Banking in Vietnam," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(2), pages 36-48.
    14. Asad Kamal & Rai Waqas Azfar & Bashir Salah & Waqas Saleem & Muhammad Abas & Razaullah Khan & Catalin I. Pruncu, 2021. "Quantitative Analysis of Sustainable Use of Construction Materials for Supply Chain Integration and Construction Industry Performance through Structural Equation Modeling (SEM)," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    15. repec:eme:maj000:02686900810908445 is not listed on IDEAS
    16. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
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