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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 謝尚賢 | |
dc.contributor.author | Amarnath Chegu Badrinath | en |
dc.contributor.author | 巴亞曼 | zh_TW |
dc.date.accessioned | 2021-06-17T04:58:51Z | - |
dc.date.available | 2021-08-01 | |
dc.date.copyright | 2018-08-01 | |
dc.date.issued | 2018 | |
dc.date.submitted | 2018-07-26 | |
dc.identifier.citation | REFERENCES
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/71211 | - |
dc.description.abstract | BIM-Building Information Modeling technologies and workflows are embraced for delivering both building and non-building projects by the Global AECO-architectural, engineering, construction and operation Industry. It is expected that AECO organizations adopt BIM technology, define the process and develop internal policies to deliver projects at expected BIM maturity. Identifying the factors that are critical for successful delivery of BIM projects and defining BIM performance measures will benefit AEC organizations to reach their clients’ i.e. operation organizations’ expectations. As a response to the need, an empirical approach is proposed and applied to the study of BIM projects implementation process. With an initial step towards performance assessments in BIM projects, this study outlines the methodology to define the CSFs-critical success factors and corresponding OCSFs-operational critical success factors. An empirical approach is adopted in this study to define the list of CSFs and OCSFs for successful delivery of BIM projects in Taiwan’s AECO industry. The originality of this research is in a proposed approach that fits the necessities of successful delivery of BIM projects. The developed Framework of IFs-influencing factors can be altered to fit the needs of design, construction and operation organizations by retaining the necessary factor groups in the framework.
The framework presented in this study is an outcome of a detailed study of the IFs identified from literature review, discussions with the domain experts and refinement of the framework in several sittings. A questionnaire was designed and targeted to Taiwan BIM experts to identify CSFs. The data collection process was accomplished in a FG-focus group meeting and few by email or post. The statistical methods such as respondents’ data summary, reliability analysis, t-test, and ranking analysis are employed in this study. Thirty-eight CSFs are listed from the ranking analysis. A breakfast meeting was held with these Taiwan BIM experts to validate the CSFs and brief them on the procedure to define OCSFs. A relationship mapping procedure was performed on a spreadsheet matrix with a selected set of Taiwan BIM experts to identify OCSFs through one-on-one meetings. The data collected from the set of experts has been compiled and analyzed. Thirteen OCSFs have been identified as a result of the relationship mapping and ranking analysis. FG meeting was set up to validate the OCSFs, and the validation process included OCSFs mapping with BSC-balance scorecard perspectives and BIM project objectives. The study results are beneficial to Taiwan’s AECO industry to comprehend the factors that are critical for successful delivery of BIM projects in the country. This study can also benefit the Global AECO industry with the proposed approach to define OCSFs for BIM projects. The results of this research set the foundation to define BIM performance measures that benefits the AECO organizations board members, management and project teams to predict the success of their BIM projects. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T04:58:51Z (GMT). No. of bitstreams: 1 ntu-107-D03521025-1.pdf: 13237818 bytes, checksum: c96aa9518d9123bcf3200fe34acd67bc (MD5) Previous issue date: 2018 | en |
dc.description.tableofcontents | TABLE OF CONTENTS
ACKNOWLEDGEMENTS ii ABSTRACT iv LIST OF TABLES x LIST OF FIGURES xii 1. INTRODUCTION 1 1.1 Background 1 1.2 Research question 2 1.3 Research significance 3 1.4 Research objective 4 1.5 Research scope 5 1.6 Defining BIM project objectives 5 1.7 Defining success of a BIM Project 6 1.8 Structure of the Thesis 6 2. LITERATURE REVIEW .8 2.1 BIM AMs-Assessment Methods .8 2.1.1 BIM AMs at different scales .8 2.1.2 BIM AMs: Challenges, shortcomings and comparison .11 2.2 BIM AMs at Project Scale .13 2.2.1 Comparison of BIM AMs at Project Scale 14 2.2.2 Comparing the measures of BIM AMs at project scale 16 2.3 Performance Assessment Model for BIM Projects 18 2.4 The BIM Uses 19 2.4.1 BIM Uses from existing frameworks, standards and guidelines 20 2.4.2 BIM Uses in a project lifecycle……………………………………..…………………..25 3. PROPOSED APPROACH 29 3.1 Define BIM project objectives 30 3.1.1 Data collection tool for BIM project objectives 30 3.1.2 Data collection in a FG meeting-1 31 3.1.3 Data analysis to list BIM project objectives 31 3.1.4 Data validation in a FG meeting-1 to finalize BIM project objectives 32 3.2 Identify the CSFs for BIM projects 32 3.2.1 Framework of Influencing factors for successful delivery of BIM Projects 32 3.2.2 Data collection tool for identifying CSFs 33 3.2.3 Data collection in a FG meeting-1 for identifying CSFs 35 3.2.4 Data analysis with statistical procedures to list the CSFs 35 3.2.5 Data validation in a FG meeting-2 to finalize CSFs 35 3.3 Identify the OCSFs for BIM Projects 36 3.3.1 Data collection tool for identifying OCSFs 36 3.3.2 Data collection in a focus group meeting-2 37 3.3.3 Data analysis with statistical procedures to list the OCSFs 37 3.3.4 Data validation in a FG meeting-3 to finalize OCSFs 38 4. CASE STUDY 40 4.1 Framework design – Step 3 42 4.1.1 Literature review on BIM AMs and Influencing factors – Stage 1 43 4.1.2 Design a Framework of IFs for Successful BIM Project Delivery – Stage 2 44 4.2 Data collection – Step 4 47 4.2.1 Data collection to identify CSFs – Phase 1 47 4.2.2 Data collection to identify OCSFs – Phase 2 48 4.2.2.1 Sphere of influence mapping process – Method 1 49 4.2.2.2 Mapping relationships of CSFs on spreadsheet matrix – Method 2.........50 4.2.2.3 Online questionnaire survey – Method 3 50 4.3 Data analysis – Step 5 52 4.3.1 Data analysis to identify CSFs – Phase 1 53 4.3.1.1 Data summary (respondent’s characteristics analysis) – Stage 1 54 4.3.1.2 Cronbach’s alpha reliability test – Stage 2 56 4.3.1.3 T-test – Stage 3 57 4.3.1.4 Ranking analysis - Stage 4…………….……………………………………….59 4.3.2 Data analysis to identify the OCSFs – Phase 2 62 4.3.2.1 CSFs relationship analysis – Stage 1 62 4.3.2.2 Ranking analysis – Stage 2 62 4.3.2.3 CSFs mapping to the factor groups of the framework – Stage 3 63 4.4 Data validation- Step 6 64 4.4.1 Validating the designed framework – Phase 1 64 4.4.2 Data validation for the identified CSFs – Phase 2 67 4.4.3 Data validation for the identified operational CSFs – Phase 3 67 5. RESULTS AND DISCUSSIONS 71 5.1 Results & discussions on identified CSFs – Phase 1 71 5.2 Results & discussion on identified operational CSFs – Phase 2 72 5.3 Comparing the CSFs of design organizations in Taiwan and India 75 5.4 Scientific value of our approach 78 6. CONCLUSION 80 7. FUTURE WORK 82 REFERENCES 84 APPENDICES 88 Appendix A. Acronyms 88 Appendix B. Influencing factors 89 B.1 Factor group 1: BIM technology 89 B.2 Factor group 2: Stakeholder skills & competencies 90 B.3 Factor group 3: Project team and organizations 94 B.4 Factor group 4: Project Coordination and collaboration 99 B.5 Factor group 5: Planning Stage 102 B.6 Factor group 6: Design Stage 105 B.7 Factor group 7: Construction stage 112 B.8 Factor group 8: Handover and closeout stage 118 B.9 Factor group 9: Operation and maintenance stage 121 Appendix C. First FG meeting discussions 126 C.1 The first section of the questionnaire: Introduction to the framework 127 C.2 The second section of the questionnaire: Basic Information of BIM Experts 130 C.3 The third section of questionnaire: Rating IFs for successful delivery of BIM 130 C.3.1 Factor group 1: BIM technology 130 C.3.2 Factor group 2: Stakeholder skills and competencies 131 C.3.3 Factor group 3: Project teams and organizations 132 C.3.4 Factor group 4: Project coordination and collaboration 133 C.3.5 Factor group 5: Planning stage 134 C.3.6 Factor group 6: Design stage 135 C.3.7 Factor group 7: Construction stage 136 C.3.8 Factor group 8: Handover and closeout stage 137 C.3.9 Factor group 9: Operations and maintenance stage 138 Appendix D. Second FG meeting 140 D.1 First task: Documenting the identified CSFs and its validation 141 D.2 Second task: Choosing the method to identify the OCSFs 144 Appendix E. One-on-one meetings 149 E.1 First task listing the BIM project objectives 149 E.2 Second task: Relationship mapping of CSFs on a spread sheet matrix 150 Appendix F. Third FG meeting 154 F.1 First phase: Introducing the Experts to identified OCSFs 155 F.2 Second phase. OCSFs mapping to balanced scorecard perspectives 155 F.3 Third phase. OCSFs mapping against BIM project objectives 156 F.4 Fourth phase. Mode of showcasing OCSFs & discuss performance measures 159 Appendix G. Basic Information of BIM Experts of this Study 162 Appendix H. Ranking Analysis Results. 163 Appendix I. Relationship mapping on a spread sheet matrix 176 Appendix J. Visualizing the research process 177 RESEARCH PUBLICATIONS 182 Journal papers 182 Book Chapters 182 Conference papers 182 Blog Posts 183 Invited lectures and discussion 184 | |
dc.language.iso | en | |
dc.title | BIM專案成功的經驗法則 | zh_TW |
dc.title | An Empirical Approach to Define Success for BIM Projects | en |
dc.type | Thesis | |
dc.date.schoolyear | 106-2 | |
dc.description.degree | 博士 | |
dc.contributor.oralexamcommittee | 康仕仲,曾惠斌,吳翌禎,林祐正,余文德 | |
dc.subject.keyword | BIM-Building information modeling,IF-influencing factors,project management,CSFs-critical success factors,OCSFs-operational critical success factors,performance assessments,Taiwan AECO-architectural,engineering,construction and operation projects, | zh_TW |
dc.relation.page | 184 | |
dc.identifier.doi | 10.6342/NTU201802015 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2018-07-26 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
顯示於系所單位: | 土木工程學系 |
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