Abstracts – Browse Results
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Charkhakan, M H and Heravi, G (2023) Quantifying the predictability and preventability of conflicts between construction project parties. Engineering, Construction and Architectural Management, 30(05), 1932-50.
Chew, M Y L (2002) Resistance of polyurethane sealants to hot water. Building Research & Information, 30(05), 367–71.
Choy, L H T, Ho, W K O and Mak, S W K (2012) Housing attributes and Hong Kong real estate prices: a quantile regression analysis. Construction Management and Economics, 30(05), 359-66.
Jacobsson, M and Linderoth, H C J (2012) User perceptions of ICT impacts in Swedish construction companies: 'it's fine, just as it is'. Construction Management and Economics, 30(05), 339-57.
Kerali, A G and Thomas, T H (2002) Effect of mix retention and curing on low-cement walling blocks. Building Research & Information, 30(05), 362–6.
Khanh, H D, Kim, S Y and Linh, L Q (2023) Construction productivity prediction through Bayesian networks for building projects: case from Vietnam. Engineering, Construction and Architectural Management, 30(05), 2075-100.
Kohler, N and Lutzkendorf, T (2002) Integrated life-cycle analysis. Building Research & Information, 30(05), 338–48.
Liang, R, Li, R, Yan, X, Xue, Z and Wei, X (2023) Evaluating and selecting the supplier in prefabricated megaprojects using extended fuzzy TOPSIS under hesitant environment: a case study from China. Engineering, Construction and Architectural Management, 30(05), 1902-31.
Lingard, H C, Cooke, T and Blismas, N (2012) Designing for construction workers' occupational health and safety: a case study of socio-material complexity. Construction Management and Economics, 30(05), 367-82.
Liu, L, Wang, X and Sheng, Z (2012) Achieving ambidexterity in large, complex engineering projects: a case study of the Sutong Bridge project. Construction Management and Economics, 30(05), 399-409.
Maharjan, S, Shrestha, P P and Srirangam, D (2023) Impact of mobilization costs on schedule performance of highway projects. Engineering, Construction and Architectural Management, 30(05), 2008-25.
Mansoori, S, Harkonen, J and Haapasalo, H (2023) Productization and product structure enabling BIM implementation in construction. Engineering, Construction and Architectural Management, 30(05), 2155-84.
Moshtaghian, F and Noorzai, E (2023) Integration of risk management within the building information modeling (BIM) framework. Engineering, Construction and Architectural Management, 30(05), 1951-77.
Osuizugbo, I C, Kukoyi, P O, Abisuga, A O and Ibrahim, K (2023) Choosing to be a craftsperson: factors influencing career decision-making among apprentices. Engineering, Construction and Architectural Management, 30(05), 2026-47.
Pham, H T, Pham, T, Truong Quang, H and Dang, C N (2023) Impact of transformational leadership on green learning and green innovation in construction supply chains. Engineering, Construction and Architectural Management, 30(05), 1883-901.
Qabaja, M and Tenekeci, G (2023) Nexus between construction sector and economic indicators for Turkey and European Union evidenced by panel data analysis. Engineering, Construction and Architectural Management, 30(05), 1978-2007.
Sena, T C and Fabricio, M M (2023) Framework proposal for BIM implementation in Brazilian construction and development companies. Engineering, Construction and Architectural Management, 30(05), 2101-23.
Sompolgrunk, A, Banihashemi, S, Hosseini, M R, Golzad, H and Hajirasouli, A (2023) An integrated model of BIM return on investment for Australian small- and medium-sized enterprises (SMEs). Engineering, Construction and Architectural Management, 30(05), 2048-74.
- Type: Journal Article
- Keywords: BIM; construction industry; digital engineering; return on investment; small companies; SMEs
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-09-2021-0839
- Abstract:
Purpose: The business benefits envisaged for BIM represent the main criteria for decision-making about BIM implementation – or shy away from BIM. Despite the significance, traditional evaluation techniques have difficulty to capture “the true value” of BIM from multiple levels and dimensions – as an effective evaluation method is supposed to. This study aims to identify the significant factors that affect BIM return on investment (ROI), develop an integrated model for companies and examine the influence of intangible returning factors of BIM on the rate of BIM implementation. Design/methodology/approach: A cluster sampling technique was used; 92 questionnaires completed by Australian architecture, engineering and construction small- and medium-sized enterprises (SMEs) provided the basis to identify and analyse the key measurable returning factors, value drivers and strategic benefits associated with BIM ROI. Findings: Applying the PLS-SEM technique, findings reveal that a lack of reliable quantification methods for the ROI factors associated with BIM significantly affects the organisation’s commitments to implement BIM. In essence, the failure to adequately identify and assess these benefits could result in the system not being appropriately implemented and supported by executive sponsors, who give priority to hard and tangible ROI measurements. Practical implications: The outcome of this study would be of direct appeal to policymakers, industry professionals and the academic community alike, in providing data-informed insight into the intersection between the implementation of BIM and the concept of ROI. Findings would provide a springboard for further research into using ROI factors to increase BIM implementation. Though the findings are directly applicable and contextualised for Australia, they provide lessons and offer a blueprint for similar studies in other countries and settings. That is, regardless of the context, findings raise awareness and provide a point of reference for the quantification of intangible returning factors rather than the tangible returning factors, as one of the first studies in its kind. Originality/value: The study provides original insight in drawing attention to an untapped area for research in BIM implementation, namely BIM ROI. Apart from raising awareness around BIM ROI, the study is novel in providing a quantified model that establishes the links and level of impacts of various factors associated with BIM ROI. Findings of this study, particularly add value to the body of knowledge related to the business implications associated with BIM implementation in the context of Australian SMEs, while providing lessons for other countries and settings.
Stasinopoulos, T N (2023) Comparing insolation on building façades in five different climates. Engineering, Construction and Architectural Management, 30(05), 1835-63.
Straub, A (2002) Strategic technical management of housing stock: lessons from Dutch housing associations. Building Research & Information, 30(05), 372–81.
Tam, C M, Tam, V W Y and Zeng, S X (2002) Environmental Performance Evaluation (EPE) for construction. Building Research & Information, 30(05), 349–61.
Wuni, I Y, Shen, G Q and Saka, A B (2023) Computing the severities of critical onsite assembly risk factors for modular integrated construction projects. Engineering, Construction and Architectural Management, 30(05), 1864-82.
Zhang, Q, Oo, B L and Lim, B T H (2023) Key practices and impact factors of corporate social responsibility implementation: Evidence from construction firms. Engineering, Construction and Architectural Management, 30(05), 2124-54.
Zimina, D, Ballard, G and Pasquire, C (2012) Target value design: using collaboration and a lean approach to reduce construction cost. Construction Management and Economics, 30(05), 383-98.