FACTORS AFFECTING THE ADOPTION OF KNOWLEDGE MANAGEMENT AND BUILDING INFORMATION MODELING IN CONSTRUCTION CONSULTING FIRMS
Vol. 131 No. 5B (2022), Original Article
Vol. 131 No. 5B (2022)

FACTORS AFFECTING THE ADOPTION OF KNOWLEDGE MANAGEMENT AND BUILDING INFORMATION MODELING IN CONSTRUCTION CONSULTING FIRMS

Original Article
https://doi.org/10.26459/hueunijed.v131i5B.6904
Published 2022-12-14
Le Tuan Vu
Quang Tri branch, Hue University, Đien Bien Phu St., Dong Ha, Quang Tri, Vietnam
Phan Nghiem Vu
Quang Tri branch, Hue University, Đien Bien Phu St., Dong Ha, Quang Tri, Vietnam
PDF

Keywords

knowledge management
building information modelling
construction consulting firm

Abstract

This paper aims to identify factors affecting the adoption of knowledge management (KM) and building information modelling (BIM) in construction consulting firms. To achieve this, both qualitative and quantitative research methods are used. From the qualitative in-depth interviews with experts in the research field and experts in construction consulting firms, a final questionnaire with 30 observed variables has been developed. Next, a quantitative survey has been conducted, with the final sample including 150 participants. The research results indicate that there are five main factors affecting the adoption of knowledge management and building information modelling, including organizational readiness, organizational factors, economic factors, technological factors, and client/customer-related factors. The assessments of the importance of these factors are different according to different groups of respondents in terms of gender, age, occupation and income. organizational readiness (OR) and technology factors (TF) have the strongest effects on KM and BIM adoption intention in construction consulting firms.

https://doi.org/10.26459/hueunijed.v131i5B.6904
PDF

References

  1. A. Elfar, A. M. Elsaid, and E. Elsaid (2017), How knowledge management implementation affects the performance of Egyptian construction companies, Journal of Applied Business Research (JABR), 33(3), 409–438.
  2. B. Dave and L. Koskela (2009), Collaborative knowledge management—A construction case study, Automation in construction, 18(7), 894–902.
  3. P. Carrillo and P. Chinowsky (2006), Exploiting knowledge management: The engineering and construction perspective, Journal of Management in Engineering, 22(1), 2.
  4. P. Carrillo (2003), IMPaKT: A framework for linking knowledge management to business performance, Electronic Journal of Knowledge Management, 1(1), 1–12.
  5. P. Carrillo, H. Robinson, A. Al-Ghassani, and C. Anumba (2004), Knowledge management in UK construction: Strategies, resources and barriers, Project management Journal, 35(1), 46–56.
  6. K. Y. Wong (2005), Critical success factors for implementing knowledge management in small and medium enterprises, Industrial management & Data systems, 105(3), 261–279.
  7. Nguyen The Quan, Luu Phuong Quynh, Application of BIM in design conflict detection: A case study of Vietnam, IOP Conference Series: Materials Science and Engineering, 869(2), 022038.
  8. S. Liu, B. Xie, L. Tivendal, and C. Liu (2015), Critical barriers to BIM implementation in the AEC industry, International Journal of Marketing Studies, 7(6), 162.
  9. S. Maguire, S. C. L. Koh, and A. Magrys (2007), The adoption of e-business and knowledge management in SMEs, Benchmarking: An International Journal, 14(1), 37–58.
  10. C. O. Egbu (2004), Managing knowledge and intellectual capital for improved organizational innovations in the construction industry: An examination of critical success factors, Engineering, Construction and Architectural Management, 11(5), 301–315.
  11. Y.-C. Lin, L.-C. Wang, H. P. Tserng, and S.-H. Jan (2005), Enhancing knowledge and experience exchange through construction map-based knowledge management system, in Construction Research Congress 2005: Broadening Perspectives, 1–10.
  12. F. Bonert (2019), Facilitating the Digital Transformation of Building Design and Engineering Companies by Transferring Knowledge across Projects, Master’s Thesis, Utrecht University.
  13. H. P. Tserng and Y.-C. Lin (2004), Developing an activity-based knowledge management system for contractors, Automation in construction, 13(6), 781–802.
  14. H. C. Tan, P. M. Carrillo, C. J. Anumba, N. Bouchlaghem, J. M. Kamara, and C. E. Udeaja (2007), Development of a methodology for live capture and reuse of project knowledge in construction, Journal of management in engineering, 23(1), 18–26.
  15. J. C.-A. Tsai and S.-Y. Hung (2016), Determinants of knowledge management system adoption in health care, Journal of Organizational Computing and Electronic Commerce, 26(3), 244–266.
  16. M. Saini, M. Arif, and D. J. Kulonda (2017), Critical factors for transferring and sharing tacit knowledge within lean and agile construction processes, Construction Innovation, 18(1), 64–89.
  17. H.-F. Lin (2013), Examining the factors influencing knowledge management system adoption and continuance intention, Knowledge Management Research & Practice, 11(4), 389–404.
  18. B. Trigunarsyah, Organizational culture influence on client involvement, Engineering, Construction and Architectural Management, 24(6), 1155–1169.
  19. M. Arif, A.-Z. Mohammed, and A. D. Gupta (2015), Understanding knowledge sharing in the Jordanian construction industry, Construction Innovation, 15(3), 333–354.
  20. H. S. Robinson, P. M. Carrillo, C. J. Anumba, and A. M. Al-Ghassani (2001), Perceptions and barriers in implementing knowledge management strategies in large construction organisations, in Proceedings of the RICS COBRA Conference, 451–460.
  21. M. Norusis (2005), Spss 14.0 Statistical Procedures Companion Prentice-Hall, Inc. Upper.
  22. D. E. Johnson (1998), Applied multivariate methods for data analysts. Duxbury Resource Center.
  23. J. F. Hair (2009), Multivariate data analysis.
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Copyright (c) 2022 Array