Tradition and Innovation in Construction Project Management
1. Introduction and Aim of the Special Issue
2. Commentary on the Published Papers
- Notably, risk management emerges as a prominent theme, with Y. Wang et al. [10] developing a risk propagation model for an assembled building supply chain network. Bahamid et al. [20] summarized risk management strategies in Yemeni building projects. J. Wang et al. [22] established a safety risk assessment framework based on Bayesian Network, improved Human Factors Analysis and Classification System, and improved the Similarity Aggregation Method. Huang et al. [27] proposed a safety risk assessment model using a BP neural network algorithm. Yan et al. [29] investigated the coupling evaluation method to analyze the influence of social stability risk factors in major projects;
- Furthermore, the inclusion of behavioral research signifies the growing recognition of understanding the behavior of contracting parties in projects. Y. Li et al. [16] employed a bibliometric analysis of 1254 studies from the Web of Science to explore behavioral research in construction engineering management. Y. Zhang et al. [23] revealed the evolutionary law of private enterprises’ participation behavior under different incentive modes in Public–Private Partnership projects. Whereas, Yang et al. [26] established an index system of organization interactions to determine synchronizability and effective interaction methods;
- In the realm of resource management, Yan et al. [11] combined regret theory and the Fuzzy-DEMATEL method to develop a multi-attribute model for construction program manager selection. Additionally, J. Zhang et al. [15] analyzed the current state, consequences, and emerging trends in resource management research at the macroscopic level to explore potential solutions;
- Finally, this Special Issue delves into the domain of lean construction management, with Huaman-Orosco et al. [17] exploring barriers, challenges, and strategies for adopting lean practices in small and medium-sized enterprises.
3. Conclusions
Conflicts of Interest
References
- Travaglini, A.; Radujković, M.; Mancini, M. Building information modelling (BIM) and project management: A stakeholders perspective. Organ. Technol. Manag. Constr. Int. J. 2014, 6, 1001–1008. [Google Scholar] [CrossRef] [Green Version]
- Ma, X.; Darko, A.; Chan, A.P.; Wang, R.; Zhang, B. An empirical analysis of barriers to building information modelling (BIM) implementation in construction projects: Evidence from the Chinese context. Int. J. Constr. Manag. 2022, 22, 3119–3127. [Google Scholar] [CrossRef]
- Olanrewaju, O.I.; Kineber, A.F.; Chileshe, N.; Edwards, D.J. Modelling the relationship between Building Information Modelling (BIM) implementation barriers, usage and awareness on building project lifecycle. Build. Environ. 2022, 207, 108556. [Google Scholar] [CrossRef]
- Newman, C.; Edwards, D.; Martek, I.; Lai, J.; Thwala, W.D.; Rillie, I. Industry 4.0 deployment in the construction industry: A bibliometric literature review and UK-based case study. Smart Sustain. Built Environ. 2021, 10, 557–580. [Google Scholar] [CrossRef]
- Sepasgozar, S.M. Differentiating digital twin from digital shadow: Elucidating a paradigm shift to expedite a smart, sustainable built environment. Buildings 2021, 11, 151. [Google Scholar] [CrossRef]
- Stanitsas, M.; Kirytopoulos, K.; Leopoulos, V. Integrating sustainability indicators into project management: The case of construction industry. J. Clean. Prod. 2021, 279, 123774. [Google Scholar] [CrossRef]
- Tushar, Q.; Bhuiyan, M.A.; Zhang, G.; Maqsood, T. An integrated approach of BIM-enabled LCA and energy simulation: The optimized solution towards sustainable development. J. Clean. Prod. 2021, 289, 125622. [Google Scholar] [CrossRef]
- Hartmann, S.; Gossmann, D.; Kalmuk, S.; Klemt-Albert, K. Optimizing Interfaces of Construction Processes by Digitalization Using the Example of Hospital Construction in Germany. Buildings 2023, 13, 1421. [Google Scholar] [CrossRef]
- Kumaraswamy, M.M.; Hewa Welege, N.M.; Pan, W. Accelerating the Delivery of Low-Carbon Buildings by Addressing Common Constraints: Perspectives from High-Rise, High-Density Cities. Buildings 2023, 13, 1455. [Google Scholar] [CrossRef]
- Wang, Y.; Sun, R.; Ren, L.; Geng, X.; Wang, X.; Lv, L. Risk Propagation Model and Simulation of an Assembled Building Supply Chain Network. Buildings 2023, 13, 981. [Google Scholar] [CrossRef]
- Yan, H.; Yang, Y.; Lei, X.; Ye, Q.; Huang, W.; Gao, C. Regret Theory and Fuzzy-DEMA℡-Based Model for Construction Program Manager Selection in China. Buildings 2023, 13, 838. [Google Scholar] [CrossRef]
- Bailey, S.; Carnemolla, P.; Loosemore, M.; Darcy, S.; Sankaran, S. A Critical Scoping Review of Disability Employment Research in the Construction Industry: Driving Social Innovation through More Inclusive Pathways to Employment Opportunity. Buildings 2022, 12, 2196. [Google Scholar] [CrossRef]
- Wang, B.; Chen, H.; Ao, Y.; Liao, F. Spatiotemporal Differentiation and Influencing Factors of Green Technology Innovation Efficiency in the Construction Industry: A Case Study of Chengdu-Chongqing Urban Agglomeration. Buildings 2023, 13, 73. [Google Scholar] [CrossRef]
- Mridha, M.; Kuys, B.; Suhaimi, S.N. The Influence Innovation Has on the Visual Appearance and Aesthetic Preference of Architectural Products. Buildings 2023, 13, 19. [Google Scholar] [CrossRef]
- Zhang, J.; Dong, F.; Ballesteros-Pérez, P.; Li, H.; Skitmore, M. Current and Future Trends of Resource Misallocation in the Construction Industry: A Bibliometric Review with Grounded Theory. Buildings 2022, 12, 1731. [Google Scholar] [CrossRef]
- Li, Y.; Liang, J.; Huang, J.; Yang, M.; Li, R. Behavioral Research in Construction Engineering Management: A Review from a Neuropsychological Perspective. Buildings 2022, 12, 1591. [Google Scholar] [CrossRef]
- Huaman-Orosco, C.; Erazo-Rondinel, A.A.; Herrera, R.F. Barriers to Adopting Lean Construction in Small and Medium-Sized Enterprises—The Case of Peru. Buildings 2022, 12, 1637. [Google Scholar] [CrossRef]
- Li, H.; Han, Z.; Zhang, J.; Philbin, S.P.; Liu, D.; Ke, Y. Systematic Identification of the Influencing Factors for the Digital Transformation of the Construction Industry Based on LDA-DEMA℡-ANP. Buildings 2022, 12, 1409. [Google Scholar] [CrossRef]
- Doukari, O.; Seck, B.; Greenwood, D. The Creation of Construction Schedules in 4D BIM: A Comparison of Conventional and Automated Approaches. Buildings 2022, 12, 1145. [Google Scholar] [CrossRef]
- Bahamid, R.A.; Doh, S.I.; Khoiry, M.A.; Kassem, M.A.; Al-Sharafi, M.A. The Current Risk Management Practices and Knowledge in the Construction Industry. Buildings 2022, 12, 1016. [Google Scholar] [CrossRef]
- Li, Y.; Xie, Y.; Sun, S.; Hu, L. Evaluation of Park Accessibility Based on Improved Gaussian Two-Step Floating Catchment Area Method: A Case Study of Xi’an City. Buildings 2022, 12, 871. [Google Scholar] [CrossRef]
- Wang, J.; Guo, F.; Song, Y.; Liu, Y.; Hu, X.; Yuan, C. Safety Risk Assessment of Prefabricated Buildings Hoisting Construction: Based on IHFACS-ISAM-BN. Buildings 2022, 12, 811. [Google Scholar] [CrossRef]
- Zhang, Y.; Yi, H.; Xie, H.; Zheng, J.; Wang, Y. How Private Enterprises’ Participation Behaviors Evolve with Incentive Modes in PPPs: An Evolutionary Game View. Buildings 2022, 12, 709. [Google Scholar] [CrossRef]
- Xu, H.; Chang, R.; Pan, M.; Li, H.; Liu, S.; Webber, R.J.; Zuo, J.; Dong, N. Application of Artificial Neural Networks in Construction Management: A Scientometric Review. Buildings 2022, 12, 952. [Google Scholar] [CrossRef]
- Wang, L.; Rong, X.; Chen, Z.; Mu, L.; Jiang, S. A Real Estate Early Warning System Based on an Improved PSO-LSSVR Model—A Beijing Case Study. Buildings 2022, 12, 706. [Google Scholar] [CrossRef]
- Yang, L.; Hu, X.; Zhao, X. Organization Synchronization in Response to Complex Project Delays: Network-Based Analysis. Buildings 2022, 12, 662. [Google Scholar] [CrossRef]
- Huang, J.; Zeng, X.; Fu, J.; Han, Y.; Chen, H. Safety Risk Assessment Using a BP Neural Network of High Cutting Slope Construction in High-Speed Railway. Buildings 2022, 12, 598. [Google Scholar] [CrossRef]
- Elrefaey, O.; Ahmed, S.; Ahmad, I.; El-Sayegh, S. Impacts of COVID-19 on the Use of Digital Technology in Construction Projects in the UAE. Buildings 2022, 12, 489. [Google Scholar] [CrossRef]
- Yan, H.; Zheng, Z.; Huang, H.; Zhou, X.; Tang, Y.; Hu, P. Risk Coupling Evaluation of Social Stability of Major Engineering Based on N-K Model. Buildings 2022, 12, 702. [Google Scholar] [CrossRef]
Authors | Manuscript Title | Article Type | General Topic Tag | Specific Topic Tag |
---|---|---|---|---|
Hartmann et al. [8] | Optimizing Interfaces of Construction Processes by Digitalization Using the Example of Hospital Construction in Germany | Research | Technology | Digitalization |
Kumaraswamy et al. [9] | Accelerating the Delivery of Low-Carbon Buildings by Addressing Common Constraints: Perspectives from High-Rise, High-Density Cities | Research | Outcome | Low Carbon |
Y. Wang et al. [10] | Risk Propagation Model and Simulation of an Assembled Building Supply Chain Network | Research | Management | Risk Management |
H. Yan, Yang et al. [11] | Regret Theory and Fuzzy-DEMATEL-Based Model for Construction Program Manager Selection in China | Research | Management | Resource |
Bailey et al. [12] | A Critical Scoping Review of Disability Employment Research in the Construction Industry: Driving Social Innovation through More Inclusive Pathways to Employment Opportunity | Research | Outcome | Social Equity |
B. Wang et al. [13] | Spatiotemporal Differentiation and Influencing Factors of Green Technology Innovation Efficiency in the Construction Industry: A Case Study of Chengdu–Chongqing Urban Agglomeration | Research | Technology | Green Technology |
Mridha et al. [14] | The Influence Innovation Has on the Visual Appearance and Aesthetic Preference of Architectural Products | Research | Product | Architecture |
J. Zhang et al. [15] | Current and Future Trends of Resource Misallocation in the Construction Industry: A Bibliometric Review with Grounded Theory | Research | Management | Resource |
Y. Li, Liang et al. [16] | Behavioral Research in Construction Engineering Management: A Review from a Neuropsychological Perspective | Review | Management | Behavior |
Huaman-Orosco et al. [17] | Barriers to Adopting Lean Construction in Small and Medium-Sized Enterprises—The Case of Peru | Research | Management | Lean Construction |
H. Li et al. [18] | Systematic Identification of the Influencing Factors for the Digital Transformation of the Construction Industry Based on LDA-DEMATEL-ANP | Research | Technology | Digitalization |
Doukari et al. [19] | The Creation of Construction Schedules in 4D BIM: A Comparison of Conventional and Automated Approaches | Research | Technology | Digitalization |
Bahamid et al. [20] | The Current Risk Management Practices and Knowledge in the Construction Industry | Research | Management | Risk Management |
Y. Li, Xie et al. [21] | Evaluation of Park Accessibility Based on Improved Gaussian Two-Step Floating Catchment Area Method: A Case Study of Xi’an City | Research | Urban | Assessment |
J. Wang et al. [22] | Safety Risk Assessment of Prefabricated Buildings Hoisting Construction: Based on IHFACS-ISAM-BN | Research | Management | Risk Management |
Y. Zhang et al. [23] | How Private Enterprises’ Participation Behaviors Evolve with Incentive Modes in PPPs: An Evolutionary Game View | Research | Management | Behavior |
Xu et al. [24] | Application of Artificial Neural Networks in Construction Management: A Scientometric Review | Review | Technology | Artificial Intelligence |
L. Wang et al. [25] | A Real Estate Early Warning System Based on an Improved PSO-LSSVR Model—A Beijing Case Study | Research | Urban | Assessment |
Yang et al. [26] | Organization Synchronization in Response to Complex Project Delays: Network-Based Analysis | Research | Management | Behavior |
Huang et al. [27] | Safety Risk Assessment Using a BP Neural Network of High Cutting Slope Construction in High-Speed Railway | Research | Management | Risk Management |
Elrefaey et al. [28] | Impacts of COVID-19 on the Use of Digital Technology in Construction Projects in the UAE | Research | Technology | Digitalization |
H. Yan, Zheng et al. [29] | Risk Coupling Evaluation of Social Stability of Major Engineering Based on N-K Model | Research | Management | Risk Management |
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
Ke, Y.; Zhang, J.; Philbin, S.P. Tradition and Innovation in Construction Project Management. Buildings 2023, 13, 1537. https://doi.org/10.3390/buildings13061537
Ke Y, Zhang J, Philbin SP. Tradition and Innovation in Construction Project Management. Buildings. 2023; 13(6):1537. https://doi.org/10.3390/buildings13061537
Chicago/Turabian StyleKe, Yongjian, Jingxiao Zhang, and Simon P. Philbin. 2023. "Tradition and Innovation in Construction Project Management" Buildings 13, no. 6: 1537. https://doi.org/10.3390/buildings13061537
APA StyleKe, Y., Zhang, J., & Philbin, S. P. (2023). Tradition and Innovation in Construction Project Management. Buildings, 13(6), 1537. https://doi.org/10.3390/buildings13061537