Abstracts – Browse Results
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Abd Elsalam, M F (2021) Breaking through the classical determinants in the field of hyper urban planning. Construction Innovation, 21(4), 818-36.
Al Jassmi, H, Al Ahmad, M and Ahmed, S (2021) Automatic recognition of labor activity: a machine learning approach to capture activity physiological patterns using wearable sensors. Construction Innovation, 21(4), 555-75.
Alkhateeb, A M, Hyari, K H and Hiyassat, M A (2021) Analyzing bidding competitiveness and success rate of contractors competing for public construction projects. Construction Innovation, 21(4), 576-91.
Arai, K and Morimoto, E (2021) Productivity and innovation in the Japanese construction industry. Construction Innovation, 21(4), 917-33.
Bilge, E C and Yaman, H (2021) Information management roles in real estate development lifecycle: literature review on BIM and IPD framework. Construction Innovation, 21(4), 723-42.
Bosch-Sijtsema, P, Claeson-Jonsson, C, Johansson, M and Roupe, M (2021) The hype factor of digital technologies in AEC. Construction Innovation, 21(4), 899-916.
Charlson, J and Dimka, N (2021) Design, manufacture and construct procurement model for volumetric offsite manufacturing in the UK housing sector. Construction Innovation, 21(4), 800-17.
Dharmapalan, V, O'Brien, W J, Morrice, D and Jung, M (2021) Assessment of visibility in industrial construction projects: a viewpoint from supply chain stakeholders. Construction Innovation, 21(4), 782-99.
Ghansah, F A, Owusu-Manu, D G, Ayarkwa, J, Edwards, D J and Hosseini, M R (2021) Exploration of latent barriers inhibiting project management processes in adopting smart building technologies (SBTs) in the developing countries. Construction Innovation, 21(4), 685-707.
Gharouni Jafari, K, Noorzai, E and Hosseini, M R (2021) Assessing the capabilities of computing features in addressing the most common issues in the AEC industry. Construction Innovation, 21(4), 875-98.
- Type: Journal Article
- Keywords: computing features; construction phase; design phase; digitalization; operation phase; technology
- ISBN/ISSN:
- URL: https://doi.org/10.1108/CI-04-2020-0050
- Abstract:
This paper aims to explore the potential capabilities of the application of computing features (CFs) in resolving the most common issues that adversely affect performance in architecture, engineering and construction (AEC) projects. Through a comprehensive review of the literature, 10 most significant CFs were identified. Also, the 15 most prevalent issues in AEC projects (AECIs), for which computers can provide remedial solutions, were determined and categorized into three phases of design, construction and operation. Potential impacts of each CF on handling AECIs in each of the three stages were assessed based on experts' perceptions. CFs are ranked based on their potential on solving the identified AECIs. So too, the order of the most common AECIs is provided in terms of their disposition for being solved by CFs. In this regard, findings reveal that the most effective CF in addressing AECIs is "artificial intelligence" and the most solvable AECI by using CFs is "increased costs and poor budgeting". Furthermore, the most appropriate CF to handle each AECI is specified, as a result of which, it is inferred CFs are more effective in handling operation-related issues, compared to design, construction phases. Practical implications: The results can provide a profound insight into software/tool selection based on features that enable technological tools and programs to handle AECIs in the three major phases of projects. Moreover, technology providers and vendors are provided with a benchmark to supply products according to the demands of the AEC industry. The study provides a readily available point of reference for practitioners in selecting various CFs for handling common AECIs that affect their projects. A large body of research is available on the evaluation of various computer-based technologies and tools. Nevertheless, little, if any, study exists that explores the potential of underlying CFs of these technologies in addressing endemic problems across various stages of AEC projects. This study is one of the first in its kind that shifts to exploring various CFs, as the main enablers of computer technologies, establish links between these CFs and common issues of projects and assesses the potential of various CFs in addressing common problems of construction projects.
Guven, G and Ergen, E (2021) Tracking major resources for automated progress monitoring of construction activities: masonry work case. Construction Innovation, 21(4), 648-67.
Kapogiannis, G, Fernando, T and Alkhard, A M (2021) Impact of proactive behaviour antecedents on construction project managers' performance. Construction Innovation, 21(4), 708-22.
Kasbar, M, Staub-French, S, Pilon, A, Poirier, E, Teshnizi, Z and Froese, T (2021) Construction productivity assessment on Brock Commons Tallwood House. Construction Innovation, 21(4), 951-68.
Lavikka, R, Chauhan, K, Peltokorpi, A and Seppänen, O (2021) Value creation and capture in systemic innovation implementation: case of mechanical, electrical and plumbing prefabrication in the Finnish construction sector. Construction Innovation, 21(4), 837-56.
M.E. Sepasgozar, S, Shirowzhan, S and Loosemore, M (2021) Information asymmetries between vendors and customers in the advanced construction technology diffusion process. Construction Innovation, 21(4), 857-74.
Obi, L I, Arif, M, Awuzie, B, Islam, R, Gupta, A D and Walton, R (2021) Critical success factors for cost management in public-housing projects. Construction Innovation, 21(4), 625-47.
Ofori-Kuragu, J K and Osei-Kyei, R (2021) Mainstreaming pre-manufactured offsite processes in construction – are we nearly there?. Construction Innovation, 21(4), 743-60.
Pablo, Z, London, K, Wong, P S P and Khalfan, M (2021) Actor-network theory and the evolution of complex adaptive supply networks. Construction Innovation, 21(4), 668-84.
Salama, T, Salah, A and Moselhi, O (2021) Integrating critical chain project management with last planner system for linear scheduling of modular construction. Construction Innovation, 21(4), 525-54.
Sarvari, H, Nassereddine, H, Chan, D W M, Amirkhani, M and Md Noor, N (2021) Determining and assessing the significant barriers of transferring unfinished construction projects from the public sector to the private sector in Iran. Construction Innovation, 21(4), 592-607.
Sergeeva, N and Duryan, M (2021) Reflecting on knowledge management as an enabler of innovation in project-based construction firms. Construction Innovation, 21(4), 934-50.
Sutrisna, M, Tjia, D and Wu, P (2021) Developing a predictive model of construction industry-university research collaboration. Construction Innovation, 21(4), 761-81.
Ying, F J, O'Sullivan, M and Adan, I (2021) Simulation of vehicle movements for planning construction logistics centres. Construction Innovation, 21(4), 608-24.