Developing a structural model of stakeholders’ behavior toward BIM adoption in construction enterprises

References

• Abbasnejad B, Nepal M, Ahankoob A, Nasirian A, Drogemuller R. 2021. Building information modelling (BIM) adoption and implementation enablers in AEC firms: a systematic literature review. Archit Eng Des Manag. 17(5-6):411–433. doi: 10.1080/17452007.2020.1793721.
   Web of Science ®Google Scholar
• Abd Jamil AH, Fathi MS. 2018. Contractual challenges for BIM-based construction projects: a systematic review. BEPAM. 8(4):372–385. doi: 10.1108/BEPAM-12-2017-0131.
   Google Scholar
• Abubakar M, Ibrahim Y, Kado D, Bala K. 2014. Contractors’ perception of the factors affecting building information modelling (BIM) adoption in the Nigerian construction industry. Conference: 2014 International Conference on Computing in Civil and Building Engineering. doi: 10.1061/9780784413616.022.
   Google Scholar
• Acquah R, Eyiah A, Oteng D. 2018. Acceptance of building information modelling: a survey of professionals in the construction industry in Ghana. Electr J Inform Technol Constru. 23:75–91.
   Web of Science ®Google Scholar
• Ahmed A, Kawalek J, Kassem M. 2017. A comprehensive identification and categorisation of drivers, factors, and determinants for BIM adoption: a systematic literature review. ASCE International Workshop on Computing in Civil Engineering 2017; p. 220–227. doi: 10.1061/9780784480823.027.
   Google Scholar
• Ahuja R, Sawhney A, Arif M. 2018. Developing organizational capabilities to deliver lean and green project outcomes using BIM. ECAM. 25(10):1255–1276. doi: 10.1108/ECAM-08-2017-0175.
   Google Scholar
• Ahuja R, Sawhney A, Jain M, Arif M, Rakshit S. 2020. Factors influencing BIM adoption in emerging markets – the case of India. Int J Constr Manag. 20(1):65–76. doi: 10.1080/15623599.2018.1462445.
   Google Scholar
• Ajzen I. 1991. The theory of planned behavior. Org Behav Hum Decis Process. 50(2):179–211. doi: 10.1016/0749-5978(91)90020-T.
   Web of Science ®Google Scholar
• Alreshidi E, Mourshed M, Rezgui Y. 2017. Factors for effective BIM governance. J Build Eng. 10:89–101. doi: 10.1016/j.jobe.2017.02.006.
   Web of Science ®Google Scholar
• Arrotéia A, Silva TFLD, Amaral G, Melhado S, Carvalho M. 2022. BIM critical success factors in different life-cycle phases: a review exploring the technology, people, and process BIM categories. J Mod Proj Manag. 10(1):32–51.
   Google Scholar
• Azhar N, Kang Y, Ahmad IU. 2014. Factors influencing integrated project delivery in publicly owned construction projects: an information modelling perspective. Procedia Eng. 77:213–221. doi: 10.1016/j.proeng.2014.07.019.
   Google Scholar
• Babatunde SO, Udeaja C, Adekunle AO. 2020. Barriers to BIM implementation and ways forward to improve its adoption in the Nigerian AEC firms. IJBPA. 39(1):48–71. doi: 10.1108/IJBPA-05-2019-0047.
   Google Scholar
• Bagozzi R, Yi Y. 2012. Specification, evaluation, and interpretation of structural equation models. J Acad Mark Sci. 40(1):8–34. doi: 10.1007/s11747-011-0278-x.
   Web of Science ®Google Scholar
• Batarseh S, Kamardeen I. 2017. The impact of individual beliefs and expectations on BIM adoption in the AEC industry.
   Google Scholar
• Bosch-Sijtsema P, Isaksson A, Lennartsson M, Linderoth H. 2017. Barriers and facilitators for BIM use among Swedish medium-sized contractors- we wait until someone tells us to use it. Vis Eng. 5(1):12. doi: 10.1186/s40327-017-0040-7.
   Google Scholar
• Cao D, Li H, Wang G, Huang T. 2017. Identifying and contextualising the motivations for BIM implementation in construction projects: an empirical study in China. Int J Project Manage. 35(4):658–669. doi: 10.1016/j.ijproman.2016.02.002.
   Web of Science ®Google Scholar
• Cao D, Li H, Wang G, Zhang W. 2016. Linking the motivations and practices of design organizations to implement building information modeling in construction projects: empirical study in China. J Manage Eng. 32(6):04016013-1-10. doi: 10.1061/(ASCE)ME.1943-5479.0000453.
   Web of Science ®Google Scholar
• Cao D, Shao S, Huang B, Wang G. 2022. Multidimensional behavioral responses to the implementation of BIM in construction projects: an empirical study in China. ECAM. 29(2):819–841. doi: 10.1108/ECAM-09-2020-0735.
   Google Scholar
• Chan DD, Abdullahi S. 2020. Profound barriers to building information modelling (BIM) adoption in construction small and medium-sized enterprises (SMEs): an interpretive structural modelling approach. CI. 20(2):261–284. doi: 10.1108/CI-09-2019-0087.
   Google Scholar
• Chang C-Y, Pan W, Howard R. 2017. Impact of building information modeling implementation on the acceptance of integrated delivery systems: structural equation modeling analysis. J Constr Eng Manage. 143(8):04017044-1-10. doi: 10.1061/(ASCE)CO.1943-7862.0001335.
   PubMed Web of Science ®Google Scholar
• Cheng J, Lu Q. 2015. A review of the efforts and roles of the public sector for BIM adoption worldwide. J Inf Technol Constr (ITcon). 20:442–478.
   Web of Science ®Google Scholar
• Dao Q, Nguyen Q. 2021. A case study of BIM application in a public construction project management unit in Vietnam: lessons learned and organizational changes. EJ. 25(7):177–192. doi: 10.4186/ej.2021.25.7.177.
   Web of Science ®Google Scholar
• Davies R, Harty C. 2013. Measurement and exploration of individual beliefs about the consequences of building information modelling use. Constr ManagEcon. 31(11):1110–1127. doi: 10.1080/01446193.2013.848994.
   Google Scholar
• Davis FD. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3):319–340. doi: 10.2307/249008.
   Web of Science ®Google Scholar
• Ding Z, Zuo J, Wu J, Wang J. 2015. Key factors for the BIM adoption by architects: a China study. Eng Constr Archit Manag. 22(6):732–748. doi: 10.1108/ECAM-04-2015-0053.
   Web of Science ®Google Scholar
• Dong L, Neufeld D, Higgins C. 2009. Top management support of enterprise systems implementations. J Inf Technol. 24(1):55–80. doi: 10.1057/jit.2008.21.
   Web of Science ®Google Scholar
• Eastman C, Eastman CM, Teicholz P, Sacks R. 2011. BIM handbook: a guide to building information modeling for owners, managers, designers, engineers and contractors. 2nd ed. Hoboken: John Wiley & Sons.
   Google Scholar
• Faisal Shehzad HM, Binti Ibrahim R, Yusof AF, Mohamed Khaidzir KA, Shawkat S, Ahmad S. 2020. Recent developments of BIM adoption based on categorization, identification and factors: a systematic literature review. Int J Constr Manag. 22(15):1–13.
   Google Scholar
• Fornell C, Larcker DF. 1981. Evaluating structural equation models with unobservable variables and measurement error. J Market Res. 18(1):39–50. doi: 10.1177/002224378101800104.
   Web of Science ®Google Scholar
• Guo J, Yang J, Peng S, Mao C. 2017. Exploring effective BIM workflow among practitioners by Technology acceptance model: a case study on the construction of facade.
   Google Scholar
• Hair JF, Black WC, Babin BJ, Anderson RE. 2018. Multivariate data analysis.
   Google Scholar
• Hair JFS, Ringle M, Christian M. 2019a. Rethinking some of the rethinking of partial least squares. Eur J Market. 53(4):566–584. doi: 10.1108/EJM-10-2018-0665.
   Web of Science ®Google Scholar
• Hair JF, Risher JJ, Sarstedt M, Ringle CM. 2019b. When to use and how to report the results of PLS-SEM. EBR. 31(1):2–24. doi: 10.1108/EBR-11-2018-0203.
   Web of Science ®Google Scholar
• Hair JF, Sarstedt M, Matthews LM, Ringle CM. 2016. Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I – method. Eur Bus Rev. 28(1):63–76. doi: 10.1108/EBR-09-2015-0094.
   Web of Science ®Google Scholar
• Hong SH, Lee SK, Kim IH, Yu JH. 2019. Acceptance model for mobile building information modeling (BIM). Appl Sci 9(18, 3668). doi: 10.3390/app9183668.
   Google Scholar
• Hosseini MR, Banihashemi S, Chileshe N, Namzadi MO, Udaeja C, Rameezdeen R, McCuen T. 2016. BIM adoption within Australian small and medium-sized enterprises (SMEs): an innovation diffusion model. CEB. 16(3):71–86. doi: 10.5130/AJCEB.v16i3.5159.
   Google Scholar
• Howard R, Restrepo L, Chang C-Y. 2017. Addressing individual perceptions: an application of the unified theory of acceptance and use of technology to building information modelling. Int J Project Manage. 35(2):107–120. doi: 10.1016/j.ijproman.2016.10.012.
   Web of Science ®Google Scholar
• Hung N, Nguyen Q, Vu N-N, Duc N. 2021. Digital technologies of the Construction 4.0 and their applications in Vietnam. J Const. 10:203–213. [in Vietnamese].
   Google Scholar
• Jin R, Hancock C, Tang L, Chen C, Wanatowski D, Yang L. 2017. An empirical study of BIM-implementation-based perceptions among Chinese practitioners. J Manage Eng. 33(5):1–38. doi: 10.1061/(ASCE)ME.1943-5479.0000538.
   Web of Science ®Google Scholar
• Juan Y-K, Lai W, Shih S-G. 2016. Building information modeling acceptance and readiness assessment in Taiwanese architectural firms. J Civ Eng Manag. 23(3):356–367. doi: 10.3846/13923730.2015.1128480.
   Web of Science ®Google Scholar
• Kevin Z, Kraemer K, Xu S. 2006. The process of innovation assimilation by firms in different countries: a technology diffusion perspective on e-business. Manage Sci. 52(10):1557–1576. doi: 10.1287/mnsc.1050.0487.
   Web of Science ®Google Scholar
• Lafreniere K, Hunter M, Deshpande S. 2011. Comparing and prioritizing the factors affecting purchase decisions in innovation adoption in a post-secondary educational setting. J Inf Inf Technol Org. 6:15–39.
   Google Scholar
• Lee S-K, Yu J, Jeong H. 2015. BIM acceptance model in construction organizations. J Manage Eng. 31(3):04014048-1-13. doi: 10.1061/(ASCE)ME.1943-5479.0000252.
   Web of Science ®Google Scholar
• Liao L, Teo E. 2017. Critical success factors for enhancing the building information modelling implementation in building projects in Singapore. J Civ Eng Manag. 23(8):1029–1044. doi: 10.3846/13923730.2017.1374300.
   Web of Science ®Google Scholar
• Liao L, Teo EAL. 2019. Managing critical drivers for building information modelling implementation in the Singapore construction industry: an organizational change perspective. Int J Constr Manag. 19(3):240–256. doi: 10.1080/15623599.2017.1423165.
   Google Scholar
• Makabate C, Musonda I, Okoro C, Chileshe N. 2022. Scientometric analysis of BIM adoption by SMEs in the architecture, construction and engineering sector. ECAM. 29(1):179–203. doi: 10.1108/ECAM-02-2020-0139.
   Google Scholar
• Nguyen T-T-N, Do ST, Nguyen VT, Nguyen TA. 2022. Interrelationships among enabling factors for BIM adoption in construction enterprises. ECAM. doi: 10.1108/ECAM-05-2022-0465.
   Google Scholar
• Nguyen T-T-N, Nguyen TA, Do ST, Nguyen VT. 2023. Assessing stakeholder behavioural intentions of BIM uses in Vietnam’s construction projects. Int J Constr Manag. 23(13):2279–2287. doi: 10.1080/15623599.2022.2051241.
   Google Scholar
• Nguyen Q, Thuy T, Vu N-N. 2021. BIM-based competitive advantages and competitive strategies for construction consultancy SMEs: a case study in Vietnam. Int J Sustain Constr Eng Technol. 12(3):1–11.
   Web of Science ®Google Scholar
• Oesterreich TD, Teuteberg F. 2019. Behind the scenes: understanding the socio-technical barriers to BIM adoption through the theoretical lens of information systems research. Technol Forecast Soc Change. 146(C):413–431. doi: 10.1016/j.techfore.2019.01.003.
   Google Scholar
• Okakpu A, Ghaffarianhoseini A, Tookey J, Haar J, Ghaffarianhoseini A. 2020. Exploring the environmental influence on BIM adoption for refurbishment project using structural equation modelling. Archit Eng Des Manag. 16(1):41–57. doi: 10.1080/17452007.2019.1617671.
   Web of Science ®Google Scholar
• Olanrewaju O, Chileshe N, Sunday B, Sandanayake M. 2020. Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry. ECAM. 27(10):2931–2958. doi: 10.1108/ECAM-01-2020-0042.
   Google Scholar
• Olanrewaju OI, Kineber AF, Chileshe N, Edwards DJ. 2022. Modelling the relationship between building information modelling (BIM) implementation barriers, usage and awareness on building project lifecycle. Build Environ. 207(B):108556. doi: 10.1016/j.buildenv.2021.108556.
   Google Scholar
• Papadonikolaki E, Wamelink H. 2017. Inter- and intra-organizational conditions for supply chain integration with BIM. Build Res Inform. 45(6):649–664. doi: 10.1080/09613218.2017.1301718.
   Web of Science ®Google Scholar
• Perrier N, Bled A, Bourgault M, Cousin N, Danjou C, Pellerin R, Roland T. 2020. Construction 4.0: a survey of research trends. ITcon. 25:416–437. doi: 10.36680/j.itcon.2020.024.
   Google Scholar
• Qin X, Shi Y, Lyu K, Mo Y. 2020. Using a TAM-TOE model to explore factors of building information modelling (BIM) adoption in the construction industry. J Civ Eng Manag. 26(3):259–277. doi: 10.3846/jcem.2020.12176.
   Web of Science ®Google Scholar
• Ramdani B, Kawalek P. 2008. SMEs & IS innovations adoption: a review & assessment of previous research. Academia: revista Latinoamericana de Administración. 39:47–70.
   Google Scholar
• Rogers EM. 2003. Diffusion of Innovations. 5th ed, Vol. 14. New York, NY: Free Press. p. 551.
   Google Scholar
• Sacks R, Gurevich U, Shrestha P. 2016. A review of building information modeling protocols, guides and standards for large construction clients. J Inf Technol Constr . 21:479–503.
   Google Scholar
• Saka AB, Chan DWM, Siu FMF. 2020. Drivers of sustainable adoption of building information modelling (BIM) in the Nigerian construction small and medium-sized enterprises (SMEs). Sustainability. 12(9):3710. doi: 10.3390/su12093710.
   Web of Science ®Google Scholar
• Sanchís-Pedregosa C, Vizcarra Aparicio J, Leal-Rodríguez A. 2020. BIM: a technology acceptance model in Peru. ITcon. 25:99–108. doi: 10.36680/j.itcon.2020.006.
   Google Scholar
• Sargent K, Hyland P, Sawang S. 2012. Factors influencing the adoption of information technology in a construction business. Australas J Constr Econ Build. 12(2):72–86.
   Google Scholar
• Schmitz K, Teng JTC, Webb KJ. 2016. Capturing the complexity of malleable IT use: adaptive structuration theory for individuals. MISQ. 40(3):663–686. doi: 10.25300/MISQ/2016/40.3.07.
   Web of Science ®Google Scholar
• Shojaei RS, Oti-Sarpong K, Burgess G. 2023. Enablers for the adoption and use of BIM in main contractor companies in the UK. ECAM. 30(4):1726–1745. doi: 10.1108/ECAM-07-2021-0650.
   Google Scholar
• Sinoh SS, Othman F, Ibrahim Z. 2020. Critical success factors for BIM implementation: a Malaysian case study. ECAM. 27(9):2737–2765. doi: 10.1108/ECAM-09-2019-0475.
   Google Scholar
• Son H, Lee S, Hwang N, Kim C. 2014. The adoption of building information modeling in the design organization: an empirical study of architects in Korean design firms. Proceedings of the 31st International Symposium on Automation and Robotics in Construction and Mining (ISARC); 2014/07/08. doi: 10.22260/ISARC2014/0026.
   Google Scholar
• Tulubas Gokuc Y, Bozoglu J. 2015. The factors affecting the acceptance of bim software tools.
   Google Scholar
• Tunji-Olayeni P, Kajimo-Shakantu K, Ayodele TO, Babalola O. 2023. Promoting construction for sustainability transformation: the perspective of institutional theory. IJBPA. doi: 10.1108/IJBPA-07-2022-0104.
   Google Scholar
• Wang G, Song J. 2017. The relation of perceived benefits and organizational supports to user satisfaction with building information model (BIM). Comput Hum Behav. 68:493–500. doi: 10.1016/j.chb.2016.12.002.
   Web of Science ®Google Scholar
• Wu Z, Jiang M, Li H, Luo X, Li X. 2021. Investigating the critical factors of professionals’ BIM adoption behavior based on the theory of planned behavior. Int J Environ Res Public Health. 18(6):3022. doi: 10.3390/ijerph18063022.
   PubMed Web of Science ®Google Scholar
• Yoo Y, Lyytinen K, Yang H. 2005. The role of standards in innovation and diffusion of broadband mobile services: the case of South Korea. J Strateg Inf Syst. 14(3):323–353. doi: 10.1016/j.jsis.2005.07.007.
   Web of Science ®Google Scholar
• Young R, Jordan E. 2008. Top management support: mantra or necessity? Int J Project Manage. 26(7):713–725. doi: 10.1016/j.ijproman.2008.06.001.
   Google Scholar
• Yuan H, Yang Y, Xue X. 2019. Promoting Owners’ BIM Adoption Behaviors to Achieve Sustainable Project Management. Sustainability. 11(14):3905. doi: 10.3390/su11143905.
   Web of Science ®Google Scholar
• Zou Y, Kiviniemi A, Jones S. 2017. A review of risk management through BIM and BIM-related technologies. Saf Sci. 97:88–98. doi: 10.1016/j.ssci.2015.12.027.
   Web of Science ®Google Scholar