ARCOM

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Aghimien, D O, Aghimien, E I, Fadiyimu, A O and Adegbembo, T F (2018) Survival strategies of built environment organisations in a challenging economy. Engineering, Construction and Architectural Management, 25(07), 861–76.

Aghimien, D O, Oke, A E and Aigbavboa, C O (2018) Barriers to the adoption of value management in developing countries. Engineering, Construction and Architectural Management, 25(07), 818–34.

Bao, F, Chen, C, Chan, A P, Martek, I and Shrestha, A (2019) Dynamic framework transfer model for public–private partnerships. Engineering, Construction and Architectural Management, 26(07), 1218–39.

Chen, C, Tang, L, Hancock, C M and Zhang, P (2019) Development of low-cost mobile laser scanning for 3D construction indoor mapping by using inertial measurement unit, ultra-wide band and 2D laser scanner. Engineering, Construction and Architectural Management, 26(07), 1367–86.

Chen, K and Lu, W (2019) Bridging BIM and building (BBB) for information management in construction. Engineering, Construction and Architectural Management, 26(07), 1518–32.

Chia, F C, Skitmore, M, Gray, J and Bridge, A (2018) International comparisons of nominal and real construction labour productivity. Engineering, Construction and Architectural Management, 25(07), 896–915.

Cui, Z, Liu, J, Xia, B and Cheng, Y (2019) Beyond national culture difference. Engineering, Construction and Architectural Management, 26(07), 1476–97.

Dang, C N and Le-Hoai, L (2018) Revisiting storey enclosure method for early estimation of structural building construction cost. Engineering, Construction and Architectural Management, 25(07), 877–95.

Goel, A, Ganesh, L and Kaur, A (2020) Social sustainability considerations in construction project feasibility study: a stakeholder salience perspective. Engineering, Construction and Architectural Management, 27(07), 1429–59.

Hasan, A, Baroudi, B, Elmualim, A and Rameezdeen, R (2018) Factors affecting construction productivity: a 30 year systematic review. Engineering, Construction and Architectural Management, 25(07), 916–37.

Karami, H and Olatunji, O A (2020) Critical overrun causations in marine projects. Engineering, Construction and Architectural Management, 27(07), 1579–94.

Khattak, M S and Mustafa, U (2019) Management competencies, complexities and performance in engineering infrastructure projects of Pakistan. Engineering, Construction and Architectural Management, 26(07), 1321–47.

Leung, M, Famakin, I O and Wang, C (2019) Developing an integrated indoor built environment–quality of life model for the elderly in public and subsidized housing. Engineering, Construction and Architectural Management, 26(07), 1498–517.

Lew, Y, Hassim, S, Muniandy, R and Hua, L T (2018) Structural equation modelling for subcontracting practice: Malaysia chapter. Engineering, Construction and Architectural Management, 25(07), 835–60.

Li, G, Chen, C, Zhang, G and Martek, I (2019) Bid/no-bid decision factors for Chinese international contractors in international construction projects. Engineering, Construction and Architectural Management, 27(07), 1619–43.

Liu, N, Ruan, L, Jin, R, Chen, Y, Deng, X and Yang, T (2019) Investigation of individual perceptions towards BIM implementation-a Chongqing case study. Engineering, Construction and Architectural Management, 26(07), 1455–75.

Moussavi Nadoushani, Z S, Akbarnezhad, A and Rey, D (2018) Optimization of concrete placing operation based on competing carbon footprint, cost and production rate objectives. Engineering, Construction and Architectural Management, 25(07), 938–57.

Nasirzadeh, F, Carmichael, D G, Jarban, M J and Rostamnezhad, M (2019) Hybrid fuzzy-system dynamics approach for quantification of the impacts of construction claims. Engineering, Construction and Architectural Management, 26(07), 1261–76.

Oechler, E, Molenaar, K R, Hallowell, M and Scott, S (2018) State-of-practice for risk-based quality assurance in state departments of transportation. Engineering, Construction and Architectural Management, 25(07), 958–70.

Olatunji, O A (2019) Promoting student commitment to BIM in construction education. Engineering, Construction and Architectural Management, 26(07), 1240–60.

• Type: Journal Article
• Keywords: Methodology; Decision analysis; Building information modelling;
• ISBN/ISSN: 0969-9988
• URL: https://doi.org/10.1108/ECAM-04-2018-0173
• Abstract:
  Industry uptake of digital modeling is improving. Recent evidence suggests building information modeling (BIM) is the commercial reality of today’s construction education, and the way of the future that has truly begun. Amongst the significance of this is BIM’s potential to revolutionize the industry. The purpose of this paper is to use the learning experiences of undergraduate students in two construction management subjects involving quantity measurement and cost estimation to explore students’ motivation toward BIM education. In particular, the study investigates decision factors underlying students’ selection of software for information management in a modeling environment. A total of 674 undergraduate students from the same institution were surveyed, out of which 153 responses were retrieved. The data provide insights into decisions taken by students while metamorphosing traditional processes into BIM-driven outcomes, in the form of commercial estimates of a real life project reported through a bill of quantities. Some 29 decision factors were analyzed. These include prior training, flair for creativity, ease of use, economic reasons, learning outcomes, on-going technical support and support infrastructure. Reductionist methods involving factor analysis and Cronbach’s α reliability estimate procedures were used to investigate the most important decision factors from amongst the decision factors analyzed. Results show all the 29 decision factors are statistically significant. Access to on-going support, the mandatory requirement to use a particular tool to complete an assessment task and the requirement to use the tool for job duties are the most significant decision factors. Vendors’ persuasion and the capability of the tool to achieve better outcomes than others are least significant. Statistical correlations between the decision factors were obtained. They all suggest near-absolute correlations. The practical implications of these findings are vital. They help to unravel factors that promote students’ interest in BIM education, and contribute toward the development of software selection models that are relevant to professionals and incipient businesses. Future studies on decision analysis can be built on the findings also. In particular, the decision factors help in developing creative cognitive solutions to BIM adoption issues. They also help on the challenge posed by the constraints of knowledge diffusion within and across project teams, and in designing tools that meet the requirements of non-design disciplines who also play vital roles in the BIM project environment.

Pablo, Z and London, K A (2020) Stable relationality and dynamic innovation: two models of collaboration in SME-driven offsite manufacturing supply chains in housing construction. Engineering, Construction and Architectural Management, 27(07), 1553–77.

Rostamnezhad, M, Nasirzadeh, F, Khanzadi, M, Jarban, M J and Ghayoumian, M (2020) Modeling social sustainability in construction projects by integrating system dynamics and fuzzy‐DEMATEL method: a case study of highway project. Engineering, Construction and Architectural Management, 27(07), 1595–618.

Salama, T and Moselhi, O (2019) Multi-objective optimization for repetitive scheduling under uncertainty. Engineering, Construction and Architectural Management, 26(07), 1294–320.

Sun, H, Wang, Y and Meng, J (2019) A trading and pricing method of expansion options for BOT freeway projects in China. Engineering, Construction and Architectural Management, 26(07), 1406–23.

Tayeh, B A, Hallaq, K A, Zahoor, H and Al Faqawi, A H (2019) Techniques and benefits of implementing the last planner system in the Gaza Strip construction industry. Engineering, Construction and Architectural Management, 26(07), 1424–36.

Uusitalo, P, Seppänen, O, Peltokorpi, A and Olivieri, H (2019) Solving design management problems using lean design management: the role of trust. Engineering, Construction and Architectural Management, 26(07), 1387–405.

Wang, G, Xia, C and Cao, D (2020) State and determinants of inter-regional market entry practices in the Chinese construction industry: evidence from national quality award projects. Engineering, Construction and Architectural Management, 27(07), 1461–77.

Wang, Y and Jin, X (2019) Determine the optimal capital structure of BOT projects using interval numbers with Tianjin Binhai New District Metro Z4 line in China as an example. Engineering, Construction and Architectural Management, 26(07), 1348–66.

Xue, J, Shen, G Q, Yang, R J, Zafar, I, Ekanayake, E, Lin, X and Darko, A (2020) Influence of formal and informal stakeholder relationship on megaproject performance: a case of China. Engineering, Construction and Architectural Management, 27(07), 1505–31.

Yap, J B H, Leong, W J and Skitmore, M (2020) Capitalising teamwork for enhancing project delivery and management in construction: empirical study in Malaysia. Engineering, Construction and Architectural Management, 27(07), 1479–503.

Yu, J, Ma, G and Cai, S (2019) Disparities in the provision of aging-friendly communities in old and new urban neighborhoods in China. Engineering, Construction and Architectural Management, 26(07), 1277–93.

Yuan, F, Tang, M and Hong, J (2020) Efficiency estimation and reduction potential of the Chinese construction industry via SE-DEA and artificial neural network. Engineering, Construction and Architectural Management, 27(07), 1533–52.

Zhang, J, Xie, H and Li, H (2019) Improvement of students problem-solving skills through project execution planning in civil engineering and construction management education. Engineering, Construction and Architectural Management, 26(07), 1437–54.