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Anwer, S, Li, H, Antwi-Afari, M F, Umer, W and Wong, A Y L (2021) Evaluation of Physiological Metrics as Real-Time Measurement of Physical Fatigue in Construction Workers: State-of-the-Art Review. Journal of Construction Engineering and Management, 147(05).

Assaad, R and El-adaway, I H (2021) Determining Critical Combinations of Safety Fatality Causes Using Spectral Clustering and Computational Data Mining Algorithms. Journal of Construction Engineering and Management, 147(05).

Besklubova, S, Skibniewski, M J and Zhang, X (2021) Factors Affecting 3D Printing Technology Adaptation in Construction. Journal of Construction Engineering and Management, 147(05).

  • Type: Journal Article
  • Keywords: Construction three-dimensional (3D) printing; Construction industry; Technology adaptation; Influential factors; Structural equation model (SEM); Quantitative methods;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002034
  • Abstract:
    Three-dimensional (3D) printing in construction technology has rapidly developed in recent years and is being implemented on a prototype basis for relatively small building and bridge construction projects. A number of 3D printing-based solutions are still at the laboratory experiment stage. Thus, understanding how to adapt 3D printing successfully is still one of the challenging issues facing the construction industry. Although the innovative literature provides clues about potentially relevant factors for construction 3D printing technology adaptation, research has still not specifically addressed this topic. This knowledge gap hampers further advancements in 3D printing for construction, launching new products, and the development of related services for the industry. Hence, as a response to the aforementioned shortcomings, this paper reveals nine potential factors and thirty-two of their measurements that determine the decision to adapt 3D printing technology for construction projects. To quantify the influence of the relevant factors and measurements, the structural equation modeling technique was employed. The results indicate that the top significant factors in ensuring the success of 3D printing technology in construction are “technology compatibility,” “supply-side benefits,” and “complexity.” Based on these findings, current and future 3D printing project managers may utilize the results of this study to guide their efforts in adapting this technology to produce high-value construction components and related products and to generate new business opportunities.

Castelblanco, G, Guevara, J, Mesa, H and Sanchez, A (2021) Semantic Network Analysis of Literature on Public-Private Partnerships. Journal of Construction Engineering and Management, 147(05).

Chen, X, Zhang, Y, Zhao, B and Yang, S (2021) Investment Probabilistic Interval Estimation for Construction Project Using the Hybrid Model of SVR and GWO. Journal of Construction Engineering and Management, 147(05).

Guo, S, Tang, B, Liang, K, Zhou, X and Li, J (2021) Comparative Analysis of the Patterns of Unsafe Behaviors in Accidents between Building Construction and Urban Railway Construction. Journal of Construction Engineering and Management, 147(05).

Johari, S and Neeraj Jha, K (2021) Framework for Identifying Competencies of Construction Workers. Journal of Construction Engineering and Management, 147(05).

Lv, J, Lin, M, Zhou, W and Xu, M (2021) How PPP Renegotiation Behaviors Evolve with Traffic Changes: Evolutionary Game Approach. Journal of Construction Engineering and Management, 147(05).

Moon, S and Munira Chowdhury, A (2021) Utilization of Prior Information in Neural Network Training for Improving 28-Day Concrete Strength Prediction. Journal of Construction Engineering and Management, 147(05).

Mousaei, A, Taghaddos, H, Nekouvaght Tak, A, Behzadipour, S and Hermann, U (2021) Optimized Mobile Crane Path Planning in Discretized Polar Space. Journal of Construction Engineering and Management, 147(05).

Pradhananga, P, ElZomor, M and Santi Kasabdji, G (2021) Identifying the Challenges to Adopting Robotics in the US Construction Industry. Journal of Construction Engineering and Management, 147(05).

Sparkling, A E and Dogra, P (2021) Supervisors’ Reliance on Tacit Knowledge and Barriers to Knowledge Sharing in the Electrical Contracting Industry. Journal of Construction Engineering and Management, 147(05).

Zaalouk, A and Han, S (2021) Parameterized Design Optimization Framework for Worker-Friendly Workplaces in Modular Construction. Journal of Construction Engineering and Management, 147(05).