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研究生： 林德薇
Nimas Latifatul Dwi Arwinta
論文名稱： The Selection of BIM Benefit Evaluation Approaches: Theoretical Framework and Guideline
指導教授： 楊智斌
Jyh-Bin Yang
口試委員:
學位類別： 碩士
Master
系所名稱： 工學院 - 土木系營建管理碩士班
Master's Program in Construction Management, Department of Civil Engineering
論文出版年： 2023
畢業學年度： 111
語文別： 英文
論文頁數： 136
中文關鍵詞： 建築信息模型；建造業;效益評估；文獻綜述;理論框架；指導方針。 、BIM 、建造業 、效益評估 、文獻綜述 、理論框架 、指南
外文關鍵詞： BIM; Construction industry; Benefit evaluation; Literature review; Theoretical Framework; Guideline., BIM, Construction industry, Benefit evaluation, Literature review, Theoretical Framework, Guideline
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    • 在現今科技發達的環境下，營建產業對各種技術的採用不斷增加，因此BIM的應用也隨之增加。但是，如果對 BIM 效益評估技術的認識不足，則可能會阻礙組織與專案中 BIM 的應用。過去有少部分研究人員在專案層次討論具體的 BIM 效益評估方法，但僅對於特定利益相關者有助益，實務應用上仍有相當的限制。本研究旨在有系統性地分析BIM應用有關研究中效益評估技術的現狀，釐清未來的研究需求，並建構適用於執行BIM效益評估的評估架構和指南，以利提供預計執行 BIM 效益評估者參考。本研究採用以文獻分析為基礎的研究方法，首先參照 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 模式，從 WoS、Scopus 和 Google Scholar 資料庫中取得文獻，然後採用結合文獻計量分析（定量分析）與系統性文獻分析（定性審查）的混合方法進行分析，以建構 BIM 效益評估架構與指引。經本研究分析後發現，在分析的年期中，論文數量近年來沒有增加。最後本研究也以分析的文獻為基礎，提出BIM 效益評估架構與指引，以利日後可以參考應用。本研究認為BIM效益評估仍需更多的研究，以利未來可以提供更有用的工具，以及實務應用後的經驗學習，讓BIM使用者能夠確實獲利於BIM的應用。

    In the current technologically advanced environment, the adoption of various technology in the construction industry is increasing, thus the implementation of BIM shall also increase. But, if there is poor awareness regarding BIM benefit evaluation techniques, then it might discourage the implementation of BIM in the organization and project. In the past, few researchers have discussed the BIM benefit evaluation at the project level which is more specific and helps only a specific stakeholder. Practical implementation is limited. This research is aiming to systematically analyze the current status of benefits evaluation in BIM implementation research (publications), identify future research requirements, and develop an applicable evaluation framework and instruction on BIM benefit evaluation. This study adopts literature review-based research, beginning with the acquisition of publications from the WoS, Scopus, and Google Scholar databases using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) model guideline, followed by a mixed-review approach that combines bibliometric analysis, often known as quantitative review, and systematic analysis, also known as a qualitative review to develop a framework of BIM benefit evaluation validated through expert interview. The results show that the number of publications in this scope is not increasing in recent years. Finally, an applicable BIM benefit evaluation framework and guidelines were built as the outcome of this research. The framework contains several scenarios of approaches for conducting BIM benefit evaluation from the perspectives of the designer, contractor, and owner. This study concluded that more researches and more practical implementations of BIM benefit evaluation are needed, those provide more useful tools and lessons learned in evaluating their BIM implementation cases for BIM users who deserve BIM implementation.

    TABLE OF CONTENT ABSTRACT i 摘要 ii ACKNOWLEDGEMENT iii TABLE OF CONTENT iv LIST OF FIGURES vi LIST OF TABLES vii CHAPTER 1: INTRODUCTION 1 1.1 Research Background 1 1.2 Problem Statements and Objectives of the Study 2 1.3 Research Scope and Limitations 3 1.4 Research Flowcharts 4 1.5 Thesis Structure 4 CHAPTER 2: LITERATURE REVIEW 6 2.1 Definition and Concepts of BIM 6 2.2 Overview BIM Implementation and Development 7 2.3 BIM Benefits in Different Evaluation Levels 9 2.3.1 Contextual Benefit 10 2.3.2 Country-based Benefit 10 2.3.3 Industry-based Benefit 11 2.3.4 Organization-based Benefit 11 2.3.5 Project-based Benefit 12 2.3.6 BIM use-based Benefit 12 2.4 BIM Challenges for the Construction Industry 13 2.5 Goals and Status of Implementation BIM in some of Region in the World 15 2.5.1 BIM Implementation in United States 15 2.5.2 BIM Goals and Implementation in the United Kingdom 16 2.5.3 BIM Goals and Implementation in some countries in Asia 17 2.5.4 BIM goals, implementation, and efforts of the Public Sector for BIM Adoption in Taiwan 18 2.6 Existing Benefit-related Evaluation Method 19 CHAPTER 3. RESEARCH METHODOLOGY 21 3.1 Research Approach 21 3.2 Literature Review 22 3.3 Data Acquisition 22 3.4 Quantitative Analysis 24 3.5 Qualitative Analysis 25 3.6 Validation through Expert Interview 25 3.7 Research Ethics 26 CHAPTER 4. RESULT AND DISCUSSIONS 27 4.1 Quantitative Analysis (Bibliographic Analysis of the Publications) 27 4.1.1 Analysis of Co-occurrence of Keywords 31 4.1.2 Analysis of Co-authorship of Authors and Countries 33 4.1.3 Analysis of Citation of Documents and Sources 36 4.1.4 Analysis of Bibliographic Coupling of Documents 40 4.1.5 Analysis of Bibliographic Co-citation of Cited References 41 4.2 Qualitative Analysis (Statistical Analysis and Deep Content Analysis of the Overview BIM Benefit Evaluation) 43 4.2.1 Distribution of Publication Over Time 43 4.2.2 Distribution of Publication by Region 44 4.2.3 Distribution of Publication by Stakeholder Involved and Project Phase 46 4.2.4 Distribution of Publication by BIM Use 51 4.2.5 Distribution of Publication by Level of BIM Implementation 54 4.2.6 Distribution of Publication by Project Ownership 55 4.2.7 Classification of BIM Benefit Evaluation Publication Based on Methods 56 4.3 Popular BIM Use in Construction Project in Recent Years 58 4.4 Special condition of stakeholder in BIM benefit evaluation decision making 61 4.5 BIM benefit evaluation decision-making framework and instruction 63 4.6 Validation Result through Expert Interview 71 CHAPTER 5: CONCLUSION AND RECOMMENDATION 76 5.1 Research Finding 76 5.2 Further Research 77 REFERENCES 78 APPENDIX I 82 APPENDIX II 118

    REFERENCES

    1. Geyskens, I., J.-B.E. Steenkamp, and N. Kumar, Make, buy, or ally: A transaction cost theory meta-analysis. Academy of management journal, 2006. 49(3): p. 519-543.
    2. McDougle, C.J., Autism spectrum disorder. 2016: Oxford University Press.
    3. Eastman, C.M., et al., BIM handbook: A guide to building information modeling for owners, managers, designers, engineers and contractors. 2011: John Wiley & Sons.
    4. Azhar, S., M. Hein, and B. Sketo. Building information modeling (BIM): benefits, risks and challenges. in Proceedings of the 44th ASC Annual Conference. 2008.
    5. Li, J., et al., A project-based quantification of BIM benefits. International Journal of Advanced Robotic Systems, 2014. 11(8): p. 123.
    6. Yang, J.-B. and H.-Y. Chou, Subjective benefit evaluation model for immature BIM-enabled stakeholders. Automation in construction, 2019. 106: p. 102908.
    7. PwC., BIM level 2 benefits measurement introductorynote: approach and benefits framework. 2018.
    8. Oesterreich, T.D. and F. Teuteberg, Looking at the big picture of IS investment appraisal through the lens of systems theory: A System Dynamics approach for understanding the economic impact of BIM. Computers in Industry, 2018. 99: p. 262-281.
    9. Yang, J.-B. and H.-Y. Chou, Mixed approach to government BIM implementation policy: An empirical study of Taiwan. Journal of Building Engineering, 2018. 20: p. 337-343.
    10. Li, X., et al., Owner-based benefit evaluation of BIM applications in China's engineering projects. Engineering, Construction and Architectural Management, 2022(ahead-of-print).
    11. Shin, M.H., H.K. Lee, and H.Y. Kim, Benefit–cost analysis of building information modeling (BIM) in a railway site. Sustainability, 2018. 10(11): p. 4303.
    12. Eastman, C., et al., A guide to building information modeling for owners, managers, designers, engineers and contractors. BIM handbook, 2011. 2: p. 147-150.
    13. Committee, N.B.I.M.S., The National Building Information Model Standard. Journal of Women s Health, 2004.
    14. Succar, B., W. Sher, and A. Williams, Measuring BIM performance: Five metrics. Architectural Engineering and Design Management, 2012. 8(2): p. 120-142.
    15. Penttilä, H., Describing the changes in architectural information technology to understand design complexity and free-form architectural expression. Journal of Information Technology in Construction (ITcon), 2006. 11(29): p. 395-408.
    16. Sacks, R., et al., BIM handbook: A guide to building information modeling for owners, designers, engineers, contractors, and facility managers. 2018: John Wiley & Sons.
    17. Committee, N.B.S.P., National building information modeling standard, version 1, Part 1: Overview, principles, and methodologies. National Institutute of Building Sciences, 2007.
    18. Hadzaman, N., T. Roshana, and A. Nawawi, Implementation of Building Information Modeling (BIM) in Malaysia construction projects life-cycle. Autralian J. of Basic and Applied Sciences, 2015. 9(7): p. 121.
    19. Smith, P., BIM implementation–global strategies. Procedia engineering, 2014. 85: p. 482-492.
    20. Cheng, J.C. and Q. Lu, A review of the efforts and roles of the public sector for BIM adoption worldwide. Journal of Information Technology in Construction (ITcon), 2015. 20(27): p. 442-478.
    21. Bryde, D., M. Broquetas, and J.M. Volm, The project benefits of building information modelling (BIM). International journal of project management, 2013. 31(7): p. 971-980.
    22. Government, H., Construction 2025. Industrial Strategy: Government and industry in partnership. 2013, HM Government London.
    23. Succar, B., Building information modelling framework: A research and delivery foundation for industry stakeholders. Automation in construction, 2009. 18(3): p. 357-375.
    24. Migilinskas, D., et al., The benefits, obstacles and problems of practical BIM implementation. Procedia engineering, 2013. 57: p. 767-774.
    25. Kreider, R.G. and J.I. Messner, The uses of BIM: Classifying and selecting BIM uses. State College-Pennsylvania, 2013: p. 0-22.
    26. Messner, J., et al., BIM Project Execution Planning Guide (v. 2.2). 2019, Computer Integrated Construction Research Program, Pennsylvania State University.
    27. Azhar, S., Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and management in engineering, 2011. 11(3): p. 241-252.
    28. Chahrour, R., et al., Cost-benefit analysis of BIM-enabled design clash detection and resolution. Construction Management and Economics, 2021. 39(1): p. 55-72.
    29. My, P.T.T., Benefits and Barriers for Implementing BIM in Vietnam Construction Industry, in Construction Engineering and Management, Civil Engineering. 2019, National Central University: Taiwan. p. 35.
    30. Construction, M.-H., SmartMarket Report: the business value of BIM in North America. Bedford: McGraw-Hill Construction Research and Analytics, 2012.
    31. Autodesk, Inc., A framework for implementing a BIM business transformation. 2012.
    32. Becerik-Gerber, B. and S. Rice, The perceived value of building information modeling in the US building industry. Journal of Information Technology in Construction (ITcon), 2010. 15(15): p. 185-201.
    33. Kam, C., et al., The VDC scorecard: evaluation of AEC projects and industry trends. CIFE, Maharashtra, India, 2013.
    34. Taylor, J.E., C.S. Dossick, and M. Garvin, Meeting the burden of proof with case-study research. Journal of construction engineering and management, 2011. 137(4): p. 303-311.
    35. Stowe, K., et al., Capturing the return on investment of all-in building information modeling: Structured approach. Practice periodical on structural design and construction, 2015. 20(1): p. 04014027.
    36. Ejaz, H., et al., Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer. International Journal of Environmental Research and Public Health, 2022. 19(19): p. 12407.
    37. Biancardo, S.A., et al., An innovative framework for integrating cost-benefit analysis (cba) within building information modeling (bim). Socio-Economic Planning Sciences, 2023. 85: p. 101495.
    38. Chou, H.-Y. and P.-Y. Chen. Benefit evaluation of implementing BIM in construction projects. in IOP Conference Series: Materials Science and Engineering. 2017. IOP Publishing.
    39. Luo, L., et al., A three-stage network DEA approach for performance evaluation of BIM application in construction projects. Technology in Society, 2022. 71: p. 102105.
    40. Daszczyński, T., M. Ostapowski, and A. Szerner, Clash Cost Analysis in Electrical Installations Based on BIM Technologies. Energies, 2022. 15(5): p. 1679.
    41. Carvalho, J.P., L. Bragança, and R. Mateus, Sustainable building design: Analysing the feasibility of BIM platforms to support practical building sustainability assessment. Computers in Industry, 2021. 127: p. 103400.
    42. Ham, N., et al., Economic analysis of design errors in BIM-based high-rise construction projects: Case study of Haeundae L project. Journal of Construction Engineering and Management, 2018. 144(6): p. 05018006.
    43. Yuqi, H. and Y. Jiajia. Benefit evaluation research of BIM application. in 2018 7th International conference on social science, education and humanities research (SSEHR 2018). 2018.
    44. Kolaric, S., et al. Perception of building information modeling within the Croatian construction industry. in International Scientific Conference People, Buildings and Environment 2016 (PBE2016). 2016.
    45. Won, J. and G. Lee, How to tell if a BIM project is successful: A goal-driven approach. Automation in Construction, 2016. 69: p. 34-43.
    46. Wasmi, H.A. and D. Castro-Lacouture. Potential impacts of bim-based cost estimating in conceptual building design: A university building renovation case study. in Construction Research Congress 2016. 2016.
    47. Wang, J., et al., Building information modeling-based integration of MEP layout designs and constructability. Automation in construction, 2016. 61: p. 134-146.
    48. Lee, S. and J. Yu, Comparative study of BIM acceptance between Korea and the United States. Journal of construction engineering and management, 2016. 142(3): p. 05015016.
    49. Bradley, A., et al., BIM for infrastructure: An overall review and constructor perspective. Automation in construction, 2016. 71: p. 139-152.
    50. Cao, D., et al., Practices and effectiveness of building information modelling in construction projects in China. Automation in construction, 2015. 49: p. 113-122.
    51. Asl, M.R., et al., BPOpt: A framework for BIM-based performance optimization. Energy and Buildings, 2015. 108: p. 401-412.
    52. Wong, J.K.W. and J. Zhou, Enhancing environmental sustainability over building life cycles through green BIM: A review. Automation in construction, 2015. 57: p. 156-165.
    53. Nath, T., et al., Productivity improvement of precast shop drawings generation through BIM-based process re-engineering. Automation in Construction, 2015. 54: p. 54-68.
    54. Lu, W., et al., Demystifying construction project time–effort distribution curves: BIM and non-BIM comparison. Journal of management in engineering, 2015. 31(6): p. 04015010.
    55. Francom, T.C. and M. El Asmar, Project quality and change performance differences associated with the use of building information modeling in design and construction projects: Univariate and multivariate analyses. Journal of construction engineering and management, 2015. 141(9): p. 04015028.
    56. Terreno, S., et al., The benefits of BIM integration with facilities management: A preliminary case study, in Computing in Civil Engineering 2015. 2015. p. 675-683.
    57. Xu, H., J. Feng, and S. Li, Users-orientated evaluation of building information model in the Chinese construction industry. Automation in construction, 2014. 39: p. 32-46.
    58. Fazli, A., et al., Appraising effectiveness of Building Information Management (BIM) in project management. Procedia Technology, 2014. 16: p. 1116-1125.
    59. Nepal, M., J. Jupp, and A. Aibinu, Evaluations of BIM: frameworks and perspectives. Computing in Civil and Building Engineering (2014), 2014: p. 769-776.
    60. Giel, B. and R. Issa, Framework for evaluating the BIM competencies of building owners, in Computing in Civil and Building Engineering (2014). 2014. p. 552-559.
    61. Masood, R., M. Kharal, and A. Nasir, Is BIM adoption advantageous for construction industry of Pakistan? Procedia Engineering, 2014. 77: p. 229-238.
    62. Tomek, A. and P. Matějka, The impact of BIM on risk management as an argument for its implementation in a construction company. Procedia Engineering, 2014. 85: p. 501-509.
    63. Abdirad, H. and P. Pishdad-Bozorgi, Trends of assessing BIM implementation in construction research, in Computing in civil and building engineering (2014). 2014. p. 496-503.
    64. Love, P.E., et al., A benefits realization management building information modeling framework for asset owners. Automation in construction, 2014. 37: p. 1-10.
    65. Lu, W., et al., Generic model for measuring benefits of BIM as a learning tool in construction tasks. Journal of Construction Engineering and Management, 2013. 139(2): p. 195-203.
    66. Eadie, R., et al., BIM implementation throughout the UK construction project lifecycle: An analysis. Automation in construction, 2013. 36: p. 145-151.
    67. Barlish, K. and K. Sullivan, How to measure the benefits of BIM—A case study approach. Automation in construction, 2012. 24: p. 149-159.
    68. Porwal, A. and K.N. Hewage, Building information modeling–based analysis to minimize waste rate of structural reinforcement. Journal of construction engineering and management, 2012. 138(8): p. 943-954.
    69. MCGRAW, H., Smart market report. Autodesk. com, 2008.
    70. Zhang, X., et al., Bibliometric analysis of highly cited articles on ecosystem services. PloS one, 2019. 14(2): p. e0210707.
    71. Van Eck, N.J. and L. Waltman, Visualizing bibliometric networks. Measuring scholarly impact: Methods and practice, 2014: p. 285-320.
    72. Liu, B., K. Yang, and W. Yu, Work-related stressors and health-related outcomes in public service: Examining the role of public service motivation. The American Review of Public Administration, 2015. 45(6): p. 653-673.
    73. Boote, D.N. and P. Beile, Scholars before researchers: On the centrality of the dissertation literature review in research preparation. Educational researcher, 2005. 34(6): p. 3-15.
    74. Zhou, Y., et al., Formulating project-level building information modeling evaluation framework from the perspectives of organizations: A review. Automation in construction, 2017. 81: p. 44-55.
    75. Kärnä, S., Analysing customer satisfaction and quality in construction–the case of public and private customers. Nordic journal of surveying and real estate research, 2004. 2.

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