IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i24p16703-d1297156.html
   My bibliography  Save this article

Exploring Students’ Acceptance of Construction Information Technology: The Development of a Comprehensive Technology Acceptance Model for the Design of an Education Program at a Japanese University

Author

Listed:
  • Reeko Watanabe

    (Independent Researcher, Gold Coast 4227, Australia
    (former) Civil Engineering Department, School of Regional Design, Utsunomiya University, 7 Chome-1-2 Yoto, Utsunomiya, Tochigi 321-0904, Japan.)

  • Tsunemi Watanabe

    (Faculty of Society and Design, Bond University, 14 University Drive, Robina, QLD 4226, Australia)

  • Martin Skitmore

    (Faculty of Society and Design, Bond University, 14 University Drive, Robina, QLD 4226, Australia)

Abstract

Construction information technology (CIT), particularly building information modeling, is globally embraced in industry but relatively new to Japanese universities because of its unique interdisciplinary nature. This presents challenges for students and instructors. Promoting the widespread adoption of CIT in Japan necessitates the development of undergraduates’ proficiency in hard and soft engineering. The problem is that Japanese universities lack research and curricula concerning CIT education—a deficiency that raises the need to evaluate students’ perceptions and acceptance of such education. This study is an initial endeavor to fulfill this need, with a view to providing curriculum recommendations and insights into the issue of interest via the analysis of students’ awareness by developing a comprehensive technology acceptance model (TAM). The findings revealed that students’ exposure to and knowledge of CIT during their university education significantly influence their perception of its utility, thereby affecting their acceptance of CIT courses. Their perception of the usefulness of CIT in future employment is a more influential factor in their willingness or readiness to accept and participate in CIT courses than its perceived importance for industry development. To facilitate the advancement of the construction sector, stakeholders should develop an industry–university collaboration-based education program that bridges the gap between academic and industry needs, creates job opportunities for students, and nurtures talent.

Suggested Citation

  • Reeko Watanabe & Tsunemi Watanabe & Martin Skitmore, 2023. "Exploring Students’ Acceptance of Construction Information Technology: The Development of a Comprehensive Technology Acceptance Model for the Design of an Education Program at a Japanese University," Sustainability, MDPI, vol. 15(24), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:24:p:16703-:d:1297156
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/24/16703/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/24/16703/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Bernadette Szajna, 1996. "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, INFORMS, vol. 42(1), pages 85-92, January.
    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. Xin Xu & Viswanath Venkatesh & Kar Yan Tam & Se-Joon Hong, 2010. "Model of Migration and Use of Platforms: Role of Hierarchy, Current Generation, and Complementarities in Consumer Settings," Management Science, INFORMS, vol. 56(8), pages 1304-1323, August.
    2. Johannes Putzke & Detlef Schoder & Kai Fischbach, 2010. "Adoption of Mass-Customized Newspapers: An Augmented Technology Acceptance Perspective," Journal of Media Economics, Taylor & Francis Journals, vol. 23(3), pages 143-164.
    3. Irfan Bashir & C. Madhavaiah, 2014. "Determinants of Young Consumers’ Intention to Use Internet Banking Services in India," Vision, , vol. 18(3), pages 153-163, September.
    4. Hasnan Baber & N M Baki Billah, 2022. "Fintech and Islamic Banks - an integrative model approach to predict the intentions," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 24(2), pages 24-45, December.
    5. Gartner, Johannes & Fink, Matthias & Maresch, Daniela, 2022. "The Role of Fear of Missing Out and Experience in the Formation of SME Decision Makers’ Intentions to Adopt New Manufacturing Technologies," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    6. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    7. Hsiao, Chun Hua & Yang, Chyan, 2011. "The intellectual development of the technology acceptance model: A co-citation analysis," International Journal of Information Management, Elsevier, vol. 31(2), pages 128-136.
    8. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    9. Haque, Md Ziaul & Qian, Aimin & Hoque, Md Rakibul & Lucky, Suraiea Akter, 2022. "A unified framework for exploring the determinants of online social networks (OSNs) on institutional investors’ capital market investment decision," Technology in Society, Elsevier, vol. 70(C).
    10. Agarwal, Reeti & Rastogi, Sanjay & Mehrotra, Ankit, 2009. "Customers’ perspectives regarding e-banking in an emerging economy," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 340-351.
    11. Nan Zhang & Xunhua Guo & Guoqing Chen, 2011. "Why adoption and use behavior of IT/IS cannot last?—two studies in China," Information Systems Frontiers, Springer, vol. 13(3), pages 381-395, July.
    12. Marie-E. Godefroid & Vincent Borghoff & Ralf Plattfaut & Björn Niehaves, 2024. "Teleworking antecedents: an exploration into availability bias as an impediment," Information Systems and e-Business Management, Springer, vol. 22(2), pages 247-284, June.
    13. Mohammad Hasan Galib & Khalid Ait Hammou & Jennifer Steiger, 2018. "Predicting Consumer Behavior: An Extension of Technology Acceptance Model," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 10(3), pages 1-73, August.
    14. Neill, William D. & Richard, James E., 2012. "Intranet portals: Marketing and managing individuals’ acceptance and use," Australasian marketing journal, Elsevier, vol. 20(2), pages 147-157.
    15. Abdullah Tirgil & Derya Fındık, 2023. "How Does Awareness Toward the Industry 4.0 Applications Affect Firms' Financial and Innovation Performance?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1900-1922, June.
    16. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    17. Mălăescu, Irina & Sutton, Steve G., 2015. "The effects of decision aid structural restrictiveness on cognitive load, perceived usefulness, and reuse intentions," International Journal of Accounting Information Systems, Elsevier, vol. 17(C), pages 16-36.
    18. Türker, Cansu & Altay, Burak Can & Okumuş, Abdullah, 2022. "Understanding user acceptance of QR code mobile payment systems in Turkey: An extended TAM," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    19. Maier, Erik, 2016. "Supply and demand on crowdlending platforms: connecting small and medium-sized enterprise borrowers and consumer investors," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 143-153.
    20. Maria Tsourela & Dafni-Maria Nerantzaki, 2020. "An Internet of Things (IoT) Acceptance Model. Assessing Consumer’s Behavior toward IoT Products and Applications," Future Internet, MDPI, vol. 12(11), pages 1-23, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:15:y:2023:i:24:p:16703-:d:1297156. 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.