Configuration Analysis of Integrated Project Delivery Principles’ Obstacle to Construction Project Level of Collaboration
Abstract
:1. Introduction
2. Literature Review
2.1. Research Hotspot Analysis Based on Bibliometric Analysis
2.2. Summary of Missing Parts in the Current Field of Research
3. Research Design and Method
3.1. Technical Route
3.2. Questionnaire Survey
3.2.1. Selection of Variables
3.2.2. Questionnaire Survey
3.2.3. Questionnaire Distribution and Recovery
3.3. Fuzzy Set Qualitative Comparative Analysis
4. Research Findings
4.1. Test of Data
4.1.1. Test of Raw Data
4.1.2. Descriptive Statistical Analysis
4.1.3. Sample Grouping
4.2. Configuration Analysis
4.2.1. Variable Calibration
4.2.2. Necessity Analysis of Single Antecedent Variable
4.2.3. Conditional Configuration Analysis
4.2.4. Robustness Test
5. Discussion
5.1. Similar Results to Previous Research
5.2. Different Results from Previous Research
6. Conclusions
6.1. Theoretical Contribution
6.2. Practical Contribution
6.3. Limitations and Future Research Directions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A. Questionnaire on the Influences of IPD Principles on Collaboration Level (I) [English Version]
References
- Mei, T.; Guo, Z.; Li, P.; Fang, K.; Zhong, S. Influence of integrated project delivery principles on project performance in china: An sem-based approach. Sustainability 2022, 14, 4381. [Google Scholar] [CrossRef]
- Sabet, P.G.P.; Chong, H.-Y. Interactions between building information modelling and off-site manufacturing for productivity improvement. Int. J. Manag. Proj. Bus. 2019, 13, 233–255. [Google Scholar] [CrossRef]
- Fischer, M.; Ashcraft, H.; Reed, D.; Khanzode, A. Integrating Project Delivery; John Wiley & Sons: Hoboken, NJ, USA, 2017. [Google Scholar] [CrossRef]
- Gallaher, M.P.; O’Connor, A.C.; Dettbarn, J.L.; Gilday, L.T. Cost Analysis of Inadequate Interoperability in the U.S. Capital Facilities Industry; National Institute of Standards and Technology (NIST): Gaithersburg, MD, USA, 2004; Volume 11, pp. 223–252.
- Piroozfar, P.; Farr, E.R.; Zadeh, A.H.; Inacio, S.T.; Kilgallon, S.; Jin, R. Facilitating building information modelling (bim) using integrated project delivery (ipd): A uk perspective. J. Build. Eng. 2019, 26, 100907. [Google Scholar] [CrossRef]
- AIA. Integrated Project Delivery: A Guide; The American Institute of Architects: Washington, DC, USA, 2007; Available online: https://www.docin.com/p-659123461.html (accessed on 1 November 2021).
- Kent, D.C.; Becerik-Gerber, B. Understanding construction industry experience and attitudes toward integrated project delivery. J. Constr. Eng. Manag. 2010, 136, 815–825. [Google Scholar] [CrossRef]
- NASFA, COAA, APPA, AGC, AIA. Integrated project delivery for public and private owners. Available online: https://doc.mbalib.com/view/c61c17f6b9e3184bcb4b905322e66c67.html (accessed on 1 November 2021).
- Chang, C.Y.; Pan, W.; Howard, R. Impact of Building Information Modeling Implementation on the Acceptance of Integrated Delivery Systems: Structural Equation Modeling Analysis. J. Constr. Eng. Manag. 2017, 143, 04017044. [Google Scholar] [CrossRef]
- Ghassemi, R.; Becerik-Gerber, B. Transitioning to integrated project delivery: Potential barriers and lessons learned. Lean Constr. J. 2011, 2011, 32–52. [Google Scholar]
- Durdyev, S.; Hosseini, M.R.; Martek, I.; Ismail, S.; Arashpour, M. Barriers to the use of integrated project delivery (ipd): A quantified model for malaysia. Eng. Constr. Archit. 2019, 27, 186–204. [Google Scholar] [CrossRef]
- Kelly, D. Investigating the Relationships of Project Performance Measures with the Use of Building Information modeling (BIM) and Integrated Project Delivery (IPD). Ph.D. Thesis, Eastern Michigan University, Ypsilanti, MI, USA, 2015. Available online: https://commons.emich.edu/theses/599/ (accessed on 1 November 2021).
- Elghaish, F.; Hosseini, M.R.; Talebi, S.; Abrishami, S.; Martek, I.; Kagioglou, M. Factors driving success of cost management practices in integrated project delivery (ipd). Sustainability 2020, 12, 9539. [Google Scholar] [CrossRef]
- Choi, J.; Yun, S.; Leite, F.; Mulva, S.P. Team integration and owner satisfaction: Comparing integrated project delivery with construction management at risk in health care projects. J. Manag. Eng. 2019, 35, 05018014. [Google Scholar] [CrossRef]
- Hanna, A.S. Benchmark performance metrics for integrated project delivery. J. Constr. Eng. Manag. -ASCE 2016, 142, 04016040. [Google Scholar] [CrossRef]
- Mei, T.T.; Wang, Q.K.; Xiao, Y.P.; Yang, M. Rent-seeking behavior of bim & ipd-based construction project in china. Eng. Constr. Archit. 2017, 24, 514–536. [Google Scholar]
- Xu, Y.Q.; Kong, Y.Y. The research status and forecast of ipd in china. J. Eng. Manag. 2016, 30, 12–17. [Google Scholar]
- He, Q.; Wang, G.; Luo, L.; Shi, Q.; Xie, J.; Meng, X. Mapping the managerial areas of building information modeling (bim) using scientometric analysis. Int. J. Proj. Manag. 2017, 35, 670–685. [Google Scholar] [CrossRef]
- El Asmar, M.; Hanna, A.S.; Loh, W.-Y. Quantifying performance for the integrated project delivery system as compared to established delivery systems. J. Constr. Eng. Manag. 2013, 139, 04013012. [Google Scholar] [CrossRef]
- Whang, S.W.; Park, K.S.; Kim, S. Critical success factors for implementing integrated construction project delivery. Eng. Constr. Archit. Manag. 2019, 26, 2432–2446. [Google Scholar] [CrossRef]
- Deng, W.L. Analysis of impediments to the development of IPD collaborative mode based on BIM—Based on AHP model. Mod. Bus. Trade Ind. 2018, 39, 204–206. [Google Scholar]
- Ma, Q.; Li, S.; Cheung, S.O. Unveiling embedded risks in integrated project delivery. J. Constr. Eng. Manag. 2022, 148, 04021180. [Google Scholar] [CrossRef]
- Rihoux, B.; Ragin, C.C. Configurational Comparative Methods: Qualitative Comparative Analysis (qca) and Related Techniques; Sage Publications: London, UK, 2008. [Google Scholar]
- De Rooij, M.M.; Janowicz-Panjaitan, M.; Mannak, R.S. A configurational explanation for performance management systems’ design in project-based organizations. Int. J. Proj. Manag. 2019, 37, 616–630. [Google Scholar] [CrossRef]
- Bartlett, M.S. The effect of standardization on a χ 2 approximation in factor analysis. Biometrika 1951, 38, 337–344. [Google Scholar] [CrossRef]
- Armstrong, J.S.; Overton, T.S. Estimating nonresponse bias in mail surveys. J. Mark. Res. 1977, 14, 396–402. [Google Scholar] [CrossRef]
- Shiau, W.-L.; Luo, M.M. Factors affecting online group buying intention and satisfaction: A social exchange theory perspective. Comput. Hum. Behav. 2012, 28, 2431–2444. [Google Scholar] [CrossRef]
- Shiau, W.-L.; Yuan, Y.; Pu, X.; Ray, S.; Chen, C.C. Understanding fintech continuance: Perspectives from self-efficacy and ect-is theories. Ind. Manag. Data Syst. 2020, 120, 1659–1689. [Google Scholar] [CrossRef]
- Cheng, J.; Luo, J.; Du, Y.; Liu, Q. What kinds of entrepreneurial ecosystem can produce country-level female high entrepreneurial activity? Stud. Sci. Sci. 2021, 39, 695–702. [Google Scholar]
- Ragin, C.C. Fuzzy sets: Calibration versus measurement. Methodol. Vol. Oxf. Handb. Political Sci. 2007, 2, 174–198. [Google Scholar]
- Zhang, M.; Du, Y. Qualitative Comparative Analysis (QCA) in Management and Organization Research: Position, Tactics, and Directions. Chin. J. Manag. 2019, 16, 1312–1323. [Google Scholar]
- Skaaning, S.-E. Assessing the robustness of crisp-set and fuzzy-set qca results. Sociol. Methods Res. 2011, 40, 391–408. [Google Scholar] [CrossRef] [Green Version]
- Bell, R.G.; Filatotchev, I.; Aguilera, R.V. Corporate governance and investors’ perceptions of foreign ipo value: An institutional perspective. Acad. Manag. J. 2014, 57, 301–320. [Google Scholar] [CrossRef]
- Du, Y.; Kim, P.H. One size does not fit all: Strategy configurations, complex environments, and new venture performance in emerging economies-sciencedirect. J. Bus. Res. 2021, 124, 272–285. [Google Scholar] [CrossRef]
- Fiss, P.C. Building better causal theories: A fuzzy set approach to typologies in organization research. Acad. Manag. J. 2011, 54, 393–420. [Google Scholar] [CrossRef]
- Dwivedi, P.; Joshi, A.; Misangyi, V.F. Gender-inclusive gatekeeping: How (mostly male) predecessors influence the success of female ceos. Acad. Manag. J. 2018, 61, 379–404. [Google Scholar] [CrossRef]
- Scott, L.; Flood, C.; Towey, B. Integrated Project Delivery for Construction. In Proceedings of the 49th ASC Annual International Construction Eduction Conference Proceedings, San Luis Obispo, CA, USA, 10–13 April 2013. [Google Scholar]
- Levy, F. BIM in Small-Scale Sustainable Design; Wiley: Hoboken, NJ, USA, 2012. [Google Scholar]
- Azhar, S.; Khalfan, M.; Maqsood, T. Building information modelling (BIM): Now and beyond. Australas. J. Constr. Econ. Build. 2012, 12, 15–28. [Google Scholar] [CrossRef]
- Ashcraft, H. Transforming project delivery: Integrated project delivery. Oxf. Rev. Econ. Policy 2022, 38, 369–384. [Google Scholar] [CrossRef]
- Azhar, N.; Kang, Y.; Ahmad, I.U. Factors influencing integrated project delivery in publicly owned construction projects: An information modelling perspective. Procedia Eng. 2014, 77, 213–221. [Google Scholar] [CrossRef] [Green Version]
- Thomsen, C.; Darrington, J.; Dunne, D.; Lichtig, W. Managing Integrated Project Delvery, Construction Management Association of America; McLean: Virginia, VA, USA, 2009. [Google Scholar]
- Viana, M.L.; Hadikusumo, B.H.; Mohammad, M.Z.; Kahvandi, Z. Integrated project delivery (IPD): An updated review and analysis case study. J. Eng. Proj. Prod. Manag. 2020, 10, 147–161. [Google Scholar]
- El Asmar, M.; Hanna, A.S. Comparative analysis of integrated project delivery (IPD) cost and quality performance. Proc. CIB W 2012, 78, 2012. [Google Scholar]
- Xiaoyu, W. Parametric Design of Pile Foundation Based on RevitAPI. Master’s Thesis, Dalian University of Technology, Dalian, China, 2020. [Google Scholar]
- Chenxi, T. Diffusion and Application of Building Information Model Technology. Master’s Thesis, Xi’an University of Architecture &Technology, Xi’an, China, 2014. [Google Scholar]
Antecedent Variables | Secondary Indexes | Observed Variables | Assignment |
---|---|---|---|
Contractual Principles (X1~X8) | Key Participants Bound Together as Equals | X1 | 1–5 |
Liability Waivers between Key Participants | X2 | ||
Early Involvement of Key Participants | X3 | ||
Fiscal Transparency between Key Participants | X4 | ||
Jointly Developed Project Target Criteria | X5 | ||
Shared Financial Risk and Reward Based on Project Outcome | X6 | ||
Intensified Design | X7 | ||
Collaborative Decision-Making | X8 | ||
Behavioral Principles (X9~X11) | Mutual Respect and Trust | X9 | 1–5 |
Willingness to Collaborate | X10 | ||
Open Communication | X11 | ||
Catalysts for IPD (X12~X15) | Multi-Party Agreement | X12 | 1–5 |
Building Information Modeling (BIM) | X13 | ||
Lean Design and Construction | X14 | ||
Co-location of Team | X15 |
Outcome Variable | Variable Description | Assignment | Reference | |
---|---|---|---|---|
Collaboration Levels of IPD | Typical | Collaboration not contractually required | 1 | [6,7,8] |
Enhanced | Some contractual collaboration requirements | 2 | ||
Required | Collaboration required by a multi-party Contract | 3 |
Questionnaire Survey Objects | Ways of Questionnaire Invitation |
---|---|
Corresponding authors in the literature related to the subject from CNKI, WANFANG, CQVIP, and other core journals | |
Practitioners and researchers participating in relevant conferences and forums in the construction industry | Combination of online and offline distribution |
The staff of the professional practice base or the previous graduates engaged in the industry | Questionnaire link sharing |
Variables | Frequency | Percentage | |
---|---|---|---|
Employment units | Real estate units | 21 | 8.94% |
Construction units | 73 | 31.06% | |
Design units | 52 | 22.13% | |
Consulting units | 28 | 11.91% | |
Supervision units | 0 | 0.00% | |
Suppliers | 1 | 0.43% | |
Research Institutions | 52 | 22.13% | |
Others | 8 | 3.40% | |
Years of working in the construction industry | ≤3 | 71 | 30.21% |
3~5 | 34 | 14.47% | |
5~8 | 47 | 20.00% | |
>8 | 83 | 35.32% | |
Number of experienced BIM projects | 1~2 | 126 | 53.62% |
3~5 | 42 | 17.87% | |
6~10 | 20 | 8.51% | |
>10 | 47 | 20.00% | |
Willingness to use BIM technology | 0 | 1 | 0.43% |
1 | 7 | 2.98% | |
2 | 18 | 7.66% | |
3 | 45 | 19.15% | |
4 | 45 | 19.15% | |
5 | 119 | 50.64% |
Variable | Frequency | Percentage | Sample Grouping | |
---|---|---|---|---|
Respondents ‘ familiarity with IPD | Those that are inexperienced and unfamiliar with IPD | 90 | 38.3% | 1 |
Those who are inexperienced though informed about IPD | 105 | 44.7% | 2 | |
Those who are experienced with IPD | 40 | 17.0% | 3 |
Outcome Variable | Condition Variable | Overall Sample | Sample 1 | Sample 2 | Sample 3 | ||||
---|---|---|---|---|---|---|---|---|---|
CY | CE | CY | CE | CY | CE | CY | CE | ||
Low level of collaboration | Contractual Principles | 0.88 | 0.75 | 0.83 | 0.79 | 0.93 | 0.76 | 0.89 | 0.63 |
~Contractual Principles | 0.25 | 0.89 | 0.28 | 0.85 | 0.22 | 0.93 | 0.26 | 0.92 | |
Behavioral Principles | 0.89 | 0.75 | 0.85 | 0.8 | 0.93 | 0.75 | 0.89 | 0.63 | |
~Behavioral Principles | 0.24 | 0.89 | 0.27 | 0.84 | 0.21 | 0.95 | 0.24 | 0.88 | |
Catalysts for IPD | 0.88 | 0.75 | 0.83 | 0.79 | 0.91 | 0.75 | 0.9 | 0.63 | |
~ Catalysts for IPD | 0.26 | 0.91 | 0.29 | 0.86 | 0.24 | 0.95 | 0.24 | 0.93 |
Configurations | Overall Sample | Sample 1 | Sample 2 | Sample 3 | |||
---|---|---|---|---|---|---|---|
S1A | S1B | S2 | S3A | S3B | S4A | S4B | |
Contractual Principles | ☆ | ☆ | ☆ | ☆ | |||
Behavioral Principles | ☆ | ☆ | ☆ | █ | █ | ☆ | |
Catalysts for IPD | █ | ☆ | █ | ☆ | █ | ||
Raw Coverage | 0.253329 | 0.227442 | 0.245517 | 0.214753 | 0.192206 | 0.238136 | 0.237288 |
Unique Coverage | 0.051276 | 0.025389 | 0.245517 | 0.0555323 | 0.0329853 | 0.0423729 | 0.0415255 |
Consistency | 0.890225 | 0.885845 | 0.849868 | 0.953646 | 0.954388 | 0.913821 | 0.893142 |
Solution Coverage | 0.278718 | 0.245517 | 0.247738 | 0.279661 | |||
Solution Consistency | 0.883432 | 0.849868 | 0.9447982 | 0.884718 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Mei, T.; Zhong, S.; Lan, H.; Guo, Z.; Qin, Y. Configuration Analysis of Integrated Project Delivery Principles’ Obstacle to Construction Project Level of Collaboration. Sustainability 2023, 15, 3509. https://doi.org/10.3390/su15043509
Mei T, Zhong S, Lan H, Guo Z, Qin Y. Configuration Analysis of Integrated Project Delivery Principles’ Obstacle to Construction Project Level of Collaboration. Sustainability. 2023; 15(4):3509. https://doi.org/10.3390/su15043509
Chicago/Turabian StyleMei, Tingting, Shuda Zhong, Huabin Lan, Zeng Guo, and Yi Qin. 2023. "Configuration Analysis of Integrated Project Delivery Principles’ Obstacle to Construction Project Level of Collaboration" Sustainability 15, no. 4: 3509. https://doi.org/10.3390/su15043509
APA StyleMei, T., Zhong, S., Lan, H., Guo, Z., & Qin, Y. (2023). Configuration Analysis of Integrated Project Delivery Principles’ Obstacle to Construction Project Level of Collaboration. Sustainability, 15(4), 3509. https://doi.org/10.3390/su15043509