IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i6p3022-d517304.html
   My bibliography  Save this article

Investigating the Critical Factors of Professionals’ BIM Adoption Behavior Based on the Theory of Planned Behavior

Author

Listed:
  • Zezhou Wu

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518000, China
    Key Laboratory of Coastal Urban Resilient Infrastructures (MOE), Shenzhen University, Shenzhen 518000, China)

  • Mingyang Jiang

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518000, China)

  • Heng Li

    (Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China)

  • Xiaochun Luo

    (Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China)

  • Xiaoying Li

    (Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China)

Abstract

In recent years, building information modeling (BIM) has been receiving growing interest from the construction industry of China. Nevertheless, although BIM has many foreseeable advantages, many studies claimed that these advantages have not been sufficiently achieved in practice at the current stage. In this circumstance, it is interesting to investigate what really drives the adoption of BIM. Based on Ajzen’s theory of planned behavior (TPB), a hypothetical model which involves nine latent variables is initially established. Then, a questionnaire is designed and distributed to the construction professionals in the Chinese context. After reliability and validity analysis, the goodness-of-fit of the initial model and the related theoretical assumptions are tested through structural equation modeling (SEM). Based on the modification indicators, a modified model is finally derived. Results show that economic viability and governmental supervision are the most critical factors that influence construction professionals’ BIM adoption behavior in China, sharing weights of 0.37 and 0.34, respectively, whereas other factors play limited roles in this regard. The research findings revealed from this study can provide insightful references for countries that intend to promote BIM adoption in a similar circumstance.

Suggested Citation

  • Zezhou Wu & Mingyang Jiang & Heng Li & Xiaochun Luo & Xiaoying Li, 2021. "Investigating the Critical Factors of Professionals’ BIM Adoption Behavior Based on the Theory of Planned Behavior," IJERPH, MDPI, vol. 18(6), pages 1-18, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:3022-:d:517304
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/6/3022/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/6/3022/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yadav, Rambalak & Pathak, Govind S., 2017. "Determinants of Consumers' Green Purchase Behavior in a Developing Nation: Applying and Extending the Theory of Planned Behavior," Ecological Economics, Elsevier, vol. 134(C), pages 114-122.
    2. Zezhou Wu & Mingyang Jiang & Yuzhu Cai & Hao Wang & Shenghan Li, 2019. "What Hinders the Development of Green Building? An Investigation of China," IJERPH, MDPI, vol. 16(17), pages 1-18, August.
    3. Lu, Weisheng & Webster, Chris & Chen, Ke & Zhang, Xiaoling & Chen, Xi, 2017. "Computational Building Information Modelling for construction waste management: Moving from rhetoric to reality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 587-595.
    4. Kai-Chong Thong & Wai-Peng Wong, 2018. "Pathways for Sustainable Supply Chain Performance—Evidence from a Developing Country, Malaysia," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    5. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    6. Zezhou Wu & Changhong Chen & Yuzhu Cai & Chen Lu & Hao Wang & Tao Yu, 2019. "BIM-Based Visualization Research in the Construction Industry: A Network Analysis," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    7. Kieu-Trang Pham & Duc-Nghia Vu & Phuc Le Hieu Hong & Chansik Park, 2020. "4D-BIM-Based Workspace Planning for Temporary Safety Facilities in Construction SMEs," IJERPH, MDPI, vol. 17(10), pages 1-22, May.
    8. Ghaffarianhoseini, Ali & Tookey, John & Ghaffarianhoseini, Amirhosein & Naismith, Nicola & Azhar, Salman & Efimova, Olia & Raahemifar, Kaamran, 2017. "Building Information Modelling (BIM) uptake: Clear benefits, understanding its implementation, risks and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1046-1053.
    9. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, 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. Adu-Gyamfi, Gibbson & Song, Huaming & Nketiah, Emmanuel & Obuobi, Bright & Adjei, Mavis & Cudjoe, Dan, 2022. "Determinants of adoption intention of battery swap technology for electric vehicles," Energy, Elsevier, vol. 251(C).
    2. Maria Carmela Aprile & Gennaro Punzo, 2023. "Young People and Nature: What Drives Underlying Behavioural Intentions towards Protected Areas Conservation?," Sustainability, MDPI, vol. 15(15), pages 1-27, August.
    3. Taneja, Shilpa & Ali, Liaqat, 2021. "Determinants of customers’ intentions towards environmentally sustainable banking: Testing the structural model," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    4. Jessica Müller & Ángel Acevedo-Duque & Sheyla Müller & Prateek Kalia & Khalid Mehmood, 2021. "Predictive Sustainability Model Based on the Theory of Planned Behavior Incorporating Ecological Conscience and Moral Obligation," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    5. Samah Ibnou-Laaroussi & Husam Rjoub & Wing-Keung Wong, 2020. "Sustainability of Green Tourism among International Tourists and Its Influence on the Achievement of Green Environment: Evidence from North Cyprus," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
    6. Muhammad Yaseen Bhutto & Xiaohui Liu & Yasir Ali Soomro & Myriam Ertz & Yasser Baeshen, 2020. "Adoption of Energy-Efficient Home Appliances: Extending the Theory of Planned Behavior," Sustainability, MDPI, vol. 13(1), pages 1-25, December.
    7. Nketiah, Emmanuel & Song, Huaming & Adu-Gyamfi, Gibbson & Obuobi, Bright & Adjei, Mavis & Cudjoe, Dan, 2022. "Does government involvement and awareness of benefit affect Ghanaian's willingness to pay for renewable green electricity?," Renewable Energy, Elsevier, vol. 197(C), pages 683-694.
    8. Vats, Ishan & Singhal, Deepak & Tripathy, Sushanta & Jena, Sarat Kumar, 2022. "The transition from BS4 to BS6 compliant vehicles for eco-friendly mobility in India: An empirical study on switching intention," Research in Transportation Economics, Elsevier, vol. 91(C).
    9. Tam To Nguyen & Huong Thi Thu Truong & Tuan Le-Anh, 2023. "Online Purchase Intention Under the Integration of Theory of Planned Behavior and Technology Acceptance Model," SAGE Open, , vol. 13(4), pages 21582440231, December.
    10. Hong, Ying & Hu, Jiangting & Chen, Mengyu & Tang, Shoulian, 2023. "Motives and antecedents affecting green purchase intention: Implications for green economic recovery," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 523-538.
    11. Yong Ming Wang & Hafiz Muhammad Fakhar Zaman & Abdul Khaliq Alvi, 2022. "Linkage of Green Brand Positioning and Green Customer Value With Green Purchase Intention: The Mediating and Moderating Role of Attitude Toward Green Brand and Green Trust," SAGE Open, , vol. 12(2), pages 21582440221, June.
    12. Lin Shen & Hongyun Si & Lei Yu & Haolun Si, 2019. "Factors Influencing Young People’s Intention toward Municipal Solid Waste Sorting," IJERPH, MDPI, vol. 16(10), pages 1-19, May.
    13. Olawale Fatoki, 2023. "Antecedents of Workplace Energy Saving Behaviour: An Integration of the Theory of Planned Behaviour and Norm Activation Model," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 394-403, July.
    14. Lin Zhang & Liwen Chen & Zezhou Wu & Sizhen Zhang & Huanbin Song, 2018. "Investigating Young Consumers’ Purchasing Intention of Green Housing in China," Sustainability, MDPI, vol. 10(4), pages 1-15, April.
    15. Zhihui Wang & Liangzhen Nie & Eila Jeronen & Lihua Xu & Meiai Chen, 2023. "Understanding the Environmentally Sustainable Behavior of Chinese University Students as Tourists: An Integrative Framework," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    16. Chun-Hsi Vivian Chen & Yu-Cheng Chen, 2021. "Assessment of Enhancing Employee Engagement in Energy-Saving Behavior at Workplace: An Empirical Study," Sustainability, MDPI, vol. 13(5), pages 1-18, February.
    17. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    18. Yu Cao & Cong Xu & Syahrul Nizam Kamaruzzaman & Nur Mardhiyah Aziz, 2022. "A Systematic Review of Green Building Development in China: Advantages, Challenges and Future Directions," Sustainability, MDPI, vol. 14(19), pages 1-29, September.
    19. Wei Zheng & Hongliang Qiu & Alastair M. Morrison, 2023. "Applying a Combination of SEM and fsQCA to Predict Tourist Resource-Saving Behavioral Intentions in Rural Tourism: An Extension of the Theory of Planned Behavior," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    20. Tuğba Yeğin & Muhammad Ikram, 2022. "Analysis of Consumers’ Electric Vehicle Purchase Intentions: An Expansion of the Theory of Planned Behavior," Sustainability, MDPI, vol. 14(19), pages 1-27, September.

    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:jijerp:v:18:y:2021:i:6:p:3022-:d:517304. 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.