BIM 활성화를 위한 다차원적 요인 분석
Multidimensional factors analysis for BIM activation
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초록
본 연구는 건설 산업에서 Building Information Modeling (BIM) 기술의 도입 및 활성화를 위한 주요 인자를 분석하고 효과적인 전략을 제안하는 것을 목표로 한다. 건설 산업은 프로젝트 관리에서 다양한 도전 과제에 직면해 있으며, 특히 분산화와 통합 부족이 주요 문제로 지적된다. 이를 해결하기 위해 BIM이 도입되었으며, 이는 설계부터 시공에 이르는 모든 단계에서 디지털 표현을 제공하여 조정, 소통 및 데이터 관리를 개선한다. 그러나 BIM의 도입은 기술적, 조직적, 경제적, 정책적, 인적 요인 등 여러 복합적인 요인의 영향을 받는다. 본 연구에서는 델파이 기법을 활용하여 전문가의 의견을 수집하고 분석하였다. 델파이 기법은 전문가 집단의 합의를 도출하기 위해 여러 차례의 설문조사를 통해 체계적으로 의견을 수렴하는 방법이다. 연구 결과, BIM 활성화를 위해 정책 및 규제적 지원, 기술 혁신, 시스템 구축 및 인프라, 표준화, 교육 및 훈련, 파일럿 프로젝트, 인력 개발, 인식 개선, 경제적 요인, 협력 및 파트너십 등이 중요한 요인으로 나타났다. 이러한 요인들을 종합적으로 고려하고 관리함으로써 건설 산업에서 BIM의 성공적인 도입과 활용을 촉진할 수 있을 것이다. 연구 결과는 건설 분야에서 BIM 기술의 활성화를 위한 구체적인 방향성을 제공하며, 관련 정책 수립 및 실행에 유용한 기초자료로 활용될 수 있다.
Abstract
This study aims to analyze the key factors for the adoption and activation of Building Information Modeling (BIM) technology in the construction industry and propose effective strategies. The construction industry faces various challenges in project management, particularly decentralization and a lack of integration, which are identified as major issues. To address these challenges, BIM has been introduced to improve coordination, communication, and data management by providing digital representations across all stages, from design to construction. However, the adoption of BIM is influenced by various complex factors, including technical, organizational, economic, policy, and human factors. In this study, the Delphi method was used to collect and analyze expert opinions. The Delphi method is a systematic approach that gathers opinions through multiple rounds of surveys to achieve consensus among a group of experts. The study’s findings indicate that policy and regulatory support, technological innovation, system development and infrastructure, standardization, education and training, pilot projects, human resource development, awareness improvement, economic factors, and collaboration and partnerships are critical factors for the activation of BIM. By comprehensively considering and managing these factors, the successful adoption and utilization of BIM in the construction industry can be facilitated. The study results provide specific directions for promoting BIM technology in the construction sector and can serve as valuable foundational data for relevant policy formulation and implementation.
참고문헌 (43)
- Abbasnejad, B., "Building Information Modelling(BIM)adoption and implementation enablers in AEC firms : a systematic literature review", Architectural Engineering and Design Management, 17(5-6), pp.411~433 (2020)
- Afzal, M., "Evaluating 4D-BIM and VR for effective safety communication and training : a case study of multilingual construction job-site crew", Buildings, 11(8), pp.319~ (2021)
- Ahuja, R., "Factors influencing BIM adoption in emerging markets—the case of India", International Journal of Construction Management, 20(1), pp.65~67 (2018)
- Al-Mohammad, M. S., "Factors affecting BIM implementation : evidence from countries with different income levels", Construction Innovation, 23(3), pp.683~710 (2023)
- Amuda-Yusuf, G., "Critical success factors for building information modelling implementation", Construction Economics and Building, 18(3), pp.55~73 (2018)
- Anderson, D. R., "Strands of System : The Philosophy of Charles Peirce", pp.204~ (1995), Purdue University Press
- Antwi-Afari, M. F., "Critical success factors for implementing building information modelling(BIM) : a longitudinal review", Automation in Construction, 91, pp.100~110 (2018)
- Arayici, Y., "Interoperability specification development for integrated BIM use in performance based design", Automation in Construction, 85, pp.167~181 (2018)
- Attarzadeh, M., "Identifying key factors for building information modelling adoption in Singapore", Proceedings of the Institution of Civil Engineers-Management, Procurement and Law, 168(5), pp.220~231 (2015)
- Awwad, K. A., "Exploring the critical success factors influencing BIM level 2 implementation in the UK construction industry : the case of SMEs", International Journal of Construction Management, 22(10), pp.1894~1901 (2020)
- Azhar, S., "Building information modeling(BIM) : trends, benefits, risks, and challenges for the AEC industry", Leadership and Management in Engineering, 11(3), pp.241~252 (2011)
- Chan, D. W. M., "Critical success factors for building information modelling(BIM)implementation in Hong Kong, Engineering", Construction and Architectural Management, 26(9), pp.1838~1854 (2019)
- Chien, K. F., "Identifying and assessing critical risk factors for BIM projects : empirical study", Automation in Construction, 45, pp.1~15 (2014)
- The Delphi Method : An Experimental Study of Group Opinion, "Dalkey, N. C.", Rand Corporation, 79~ (1969)
- Delbecq, A. L., "Group Techniques for Program Planning : A Guide to Nominal Group and Delphi Processes", pp.174~ (1975), Scott Foresman
- Evans, M., "Critical success factors for adopting building information modelling(BIM)and lean construction practices on construction mega-projects : a Delphi survey", Journal of Engineering, Design and Technology, 19(2), pp.537~556 (2021)
- Gao, H., "Building information modelling based building energy modelling : a review", Applied Energy, 238, pp.320~343 (2019)
- Grilo, A., "Value proposition on interoperability of BIM and collaborative working environments", Automation in Construction, 19(5), pp.522~530 (2010)
- Hasson, F., "Research guidelines for the Delphi survey technique", Journal of Advanced Nursing, 32(4), pp.1008~1015 (2000)
- "UK Annual Report 2016: A Clear Insight" (2024)[URL]
- Lawshe, C. H., "A quantitative approach to content validity", Personnel Psychology, 28(4), pp.563~575 (1975)
- Lee, J. S., "The Delphi Methods", pp.138~ (2001), Kyoyookbook
- Liao, L., "Critical success factors for enhancing the building information modelling implementation in building projects in Singapore", Journal of Civil Engineering and Management, 23(8), pp.1029~1044 (2017)
- Linstone, H. A., "The Delphi Method : Techniques and Applications", pp.620~ (1975), Addison-Wesley
- Liu, Z., "Transition from building information modeling(BIM)to integrated digital delivery(IDD)in sustainable building management : a knowledge discovery approach based review", Journal of Cleaner Production, 291, pp.125223~ (2021)
- Lu, Y., "Building Information Modeling(BIM)for green buildings : a critical review and future directions", Automation in Construction, 83, pp.134~148 (2017)
- Mirhosseini, S. A., "Interrelations among leadership competencies of BIM leaders : a fuzzy DEMATEL-ANP approach", Sustainability, 12(18), pp.7830~ (2020)
- Mom, M., "Developing critical success factors for the assessment of BIM technology adoption : Part II. Analysis and results", Journal of the Chinese Institute of Engineers, 37(7), pp.859~868 (2014)
- Muller, M. F., "Interoperability assessment for building information modelling", Proceedings of the 3rd International Conference on Mechatronics, pp.224~231 (2015)
- Okoli, C., "The Delphi method as a research tool : an example, design considerations and applications", Information & Management, 42(1), pp.15~29 (2004)
- Olawumi, T. O., "Critical success factors for implementing building information modeling and sustainability practices in construction projects : a Delphi survey", Sustainable Development, 27(4), pp.587~602 (2019)
- Ozorhon, B., "Critical success factors of building information modeling implementation", Journal of Management in Engineering, 33(3) (2017)
- Patel, T., "Identification of critical success factors(CSFs)of BIM software selection : a combined approach of FCM and fuzzy DEMATEL", Buildings, 11(7), pp.311~ (2021)
- Peansupap, V., "Factors enabling information and communication technology diffusion and actual implementation in construction organisations", Journal of Information Technology in Construction, 10(14), pp.193~218 (2005)
- Rho, S. Y., "Delphi technique : professional insight to predict the future", Planning and Policy, 299, pp.53~62 (2006), Korea Research Institute
- Riggs, W. E., "The Delphi technique : an experimental evaluation", Technological Forecasting and Social Change, 23(1), pp.89~94 (1983)
- Rowe, G., "Principles of Forecasting", pp.125~144 (2001), Springer
- Sacks, R., "BIM Handbook: A Guide to Building Information Modeling for Owners, Designers, Engineers, Contractors, and Facility Managers", pp.1~688 (2018), John Wiley & Sons
- Shojaei, R. S., "Enablers for the adoption and use of BIM in main contractor companies in the UK", Engineering, Construction and Architectural Management, 30(4), pp.1726~1745 (2023)
- Skulmoski, G. J., "The Delphi method for graduate research", Journal of Information Technology Education, 6(1), pp.1~21 (2007)
- Stewart, R. A., "An empirical investigation into the link between information technology implementation barriers and coping strategies in the Australian construction industry", Construction Innovation, 4(3), pp.155~171 (2004)
- Tsai, M. H., "Developing critical success factors for the assessment of BIM technology adoption : Part I. Methodology and survey", Journal of the Chinese Institute of Engineers, 37(7), pp.845~858 (2014)
- Ziglio, E., "Gazing Into the Oracle: The Delphi Method and Its Application to Social Policy and Public Health", pp.3~33 (1996), Jessica Kingsley Publishers