IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i23p16229-d1286060.html
   My bibliography  Save this article

What Drives Infrastructure Participants to Adopt Digital Technology: A Nexus of Internal and External Factors

Author

Listed:
  • Zhixia Qiu

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Shifa Wang

    (Chengdu Branch of Sichuan Chengmian Cangba Expressway Co., Ltd., Chengdu 641400, China)

  • Yaxin Hou

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Sheng Xu

    (School of Economics and Management, Chang’an University, Xi’an 710064, China
    Engineering Research Center of Digital Transportation Infrastructure, Ministry of Education of the People’s Republic of China, Xi’an 710064, China)

Abstract

Given the potential of digital technologies in value-adding and decision support in infrastructure projects, the promotion of digital technologies, how factors of government promotion, technological development, and the organization’s technology capability and capacity influence digital technology adoption is necessary but still unclear. This research aims to identify the environmental, technological, and organizational factors, as well as the interactive relationships among them, for infrastructure participants’ intention to adopt digital technologies. The extended Technology Acceptance Model (e-TAM) was used as a theoretical base to develop a hypothesis of the influencing paths of internal and external factors, with perceived usefulness (PU), perceived ease of use (PEU), and perceived image improvement (PII) as critical internal factors, and technological and environmental factors as external factors. The questionnaire survey collected 172 valid responses and structural equation modeling was applied for the hypothesis testing. The model fitting results indicated that intentions of digital adoption are directly influenced by PU as internal factors and environmental factors, while PEU, PII, and technological factors play indirect roles. As the interaction of external and internal factors, environmental factors directly affect PEU, and technological factors significantly correlate with PU. The findings supported most of the hypothesis and contributed to providing guidance for infrastructure participants’ digital adoption practice.

Suggested Citation

  • Zhixia Qiu & Shifa Wang & Yaxin Hou & Sheng Xu, 2023. "What Drives Infrastructure Participants to Adopt Digital Technology: A Nexus of Internal and External Factors," Sustainability, MDPI, vol. 15(23), pages 1-19, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16229-:d:1286060
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/23/16229/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/23/16229/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liliane Manny & Mert Duygan & Manuel Fischer & Jörg Rieckermann, 2021. "Barriers to the digital transformation of infrastructure sectors," Policy Sciences, Springer;Society of Policy Sciences, vol. 54(4), pages 943-983, December.
    2. Dirsehan, Taşkın & Can, Ceren, 2020. "Examination of trust and sustainability concerns in autonomous vehicle adoption," Technology in Society, Elsevier, vol. 63(C).
    3. 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.
    4. Thomas Niemand & Robert Mai, 2018. "Flexible cutoff values for fit indices in the evaluation of structural equation models," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1148-1172, November.
    5. 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.
    6. Kamal, Syeda Ayesha & Shafiq, Muhammad & Kakria, Priyanka, 2020. "Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)," Technology in Society, Elsevier, vol. 60(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. Lim, Joon Soo & Zhang, Jun, 2022. "Adoption of AI-driven personalization in digital news platforms: An integrative model of technology acceptance and perceived contingency," Technology in Society, Elsevier, vol. 69(C).
    2. Michael Addotey-Delove & Richard E. Scott & Maurice Mars, 2023. "Healthcare Workers’ Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review," IJERPH, MDPI, vol. 20(2), pages 1-27, January.
    3. Md. Alamgir Hossain & Ruhul Amin & Abdullah Al Masud & Md. Imran Hossain & Mohammad Awal Hossen & Mohammad Kamal Hossain, 2023. "What Drives People’s Behavioral Intention Toward Telemedicine? An Emerging Economy Perspective," SAGE Open, , vol. 13(3), pages 21582440231, July.
    4. Cobelli, Nicola & Cassia, Fabio & Donvito, Raffaele, 2023. "Pharmacists' attitudes and intention to adopt telemedicine: Integrating the market-orientation paradigm and the UTAUT," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    5. Ibrahim Mutambik, 2024. "Culturally Informed Technology: Assessing Its Importance in the Transition to Smart Sustainable Cities," Sustainability, MDPI, vol. 16(10), pages 1-20, May.
    6. Yung-Tsan Jou & Klint Allen Mariñas & Charmine Sheena Saflor & Michael Nayat Young, 2022. "Investigating Accessibility of Social Security System (SSS) Mobile Application: A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    7. Renata Walczak & Magdalena Kludacz-Alessandri & Liliana Hawrysz, 2022. "Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    8. Dirsehan, Taşkın & Can, Ceren, 2020. "Examination of trust and sustainability concerns in autonomous vehicle adoption," Technology in Society, Elsevier, vol. 63(C).
    9. Teng Yu & Jian Dai & Chengliang Wang, 2023. "Adoption of blended learning: Chinese university students’ perspectives," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    10. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    11. Sestino, Andrea & D'Angelo, Alfredo, 2024. "Elderly patients' reactions to gamification-based digital therapeutics (DTx): The relevance of socialization tendency seeking," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    12. Hasan Sadık Tatlı & Tuba Bıyıkbeyi & Gülşah Gençer Çelik & Gökten Öngel, 2024. "Paperless Technologies in Universities: Examination in Terms of Unified Theory of Acceptance and Use of Technology (UTAUT)," Sustainability, MDPI, vol. 16(7), pages 1-20, March.
    13. Zhigang Wang & Dan Fang & Xintao Liu & Lei Zhang & Hongyan Duan & Chao Wang & Kai Guo, 2023. "Consumer Acceptance of Sports Wearables: The Role of Products Attributes," SAGE Open, , vol. 13(3), pages 21582440231, July.
    14. Shahidi, Niousha & Tossan, Vesselina & Bourliataux-Lajoinie, Stéphane & Cacho-Elizondo, Silvia, 2022. "Behavioural intention to use a contact tracing application: The case of StopCovid in France," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    15. Dirsehan, Taşkın & Cankat, Ece, 2021. "Role of mobile food-ordering applications in developing restaurants’ brand satisfaction and loyalty in the pandemic period," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    16. Ong, Ardvin Kester S. & Kurata, Yoshiki B. & Castro, Sophia Alessandra D.G. & De Leon, Jeanne Paulene B. & Dela Rosa, Hazel V. & Tomines, Alex Patricia J., 2022. "Factors influencing the acceptance of telemedicine in the Philippines," Technology in Society, Elsevier, vol. 70(C).
    17. Taheri, Fatemeh & D'Haese, Marijke & Fiems, Dieter & Azadi, Hossein, 2022. "The intentions of agricultural professionals towards diffusing wireless sensor networks: Application of technology acceptance model in Southwest Iran," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    18. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    19. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    20. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.

    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:23:p:16229-:d:1286060. 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.