ARCOM

Abstracts – Browse Results

Click on the titles below to expand the information about each abstract.
Viewing 30 results ...

Afful, A E, Ayarkwa, J, Acquah, G K K, Osei-Asibey, D and Osei Assibey, A A D (2023) Barriers to incorporation of indoor environmental quality (IEQ) principles into building designs. Engineering, Construction and Architectural Management, 30(06), 2400-19.

Boyd, D and Bentley, D (2012) A critique of conceptions of design and management in construction projects. Construction Management and Economics, 30(06), 441-54.

Bröchner, J, Josephson, P-E and Kadefors, A (2002) Swedish construction culture, quality management and collaborative practice. Building Research & Information, 30(06), 392–400.

Cevikbas, M and Işık, Z (2023) Detecting the most appropriate delay analysis methods for mega airport projects. Engineering, Construction and Architectural Management, 30(06), 2463-80.

Durdyev, S, Koc, K, Karaca, F and Gurgun, A P (2023) Strategies for implementation of green roofs in developing countries. Engineering, Construction and Architectural Management, 30(06), 2481-502.

Erman, E (2002) Timber joint design: the geometric breakdown method. Building Research & Information, 30(06), 446–69.

Fitriani, H and Ajayi, S (2023) Investigation of requisite measures for enhancing sustainable construction practices in Indonesia. Engineering, Construction and Architectural Management, 30(06), 2602-20.

Gao, Q, Liu, B, Sun, J, Liu, C and Xu, Y (2023) Border-crossing frequencies of CO2 embodied in international trade of construction products for final demand. Engineering, Construction and Architectural Management, 30(06), 2360-80.

Langston, C (2023) The empirical relationship between contractor success and project innovation. Engineering, Construction and Architectural Management, 30(06), 2231-54.

Lehtiranta, L, Kärnä, S, Junnonen, J-M and Julin, P (2012) The role of multi-firm satisfaction in construction project success. Construction Management and Economics, 30(06), 463-75.

Mohandes, S R, Durdyev, S, Sadeghi, H, Mahdiyar, A, Hosseini, M R, Banihashemi, S and Martek, I (2023) Towards enhancement in reliability and safety of construction projects: developing a hybrid multi-dimensional fuzzy-based approach. Engineering, Construction and Architectural Management, 30(06), 2255-79.

Ofori, G (2002) Singapore's construction: moving toward a knowledge-based industry. Building Research & Information, 30(06), 401–12.

Olatunji, O A, Ramanayaka, C D E, Rotimi, F E and Rotimi, J O B (2023) Analysis of contractors' administrative characteristics in bid decision factors. Engineering, Construction and Architectural Management, 30(06), 2420-35.

Pietroforte, R and Miller, J B (2002) Procurement methods for US infrastructure: historical perspectives and recent trends. Building Research & Information, 30(06), 425–35.

Rwelamila, P D (2002) Creating an effective construction industry strategy in South Africa. Building Research & Information, 30(06), 435–45.

Shahid, M U, Thaheem, M J and Arshad, H (2023) Quantification and benchmarking of construction waste and its impact on cost – a case of Pakistan. Engineering, Construction and Architectural Management, 30(06), 2304-33.

Tetteh, M O, Chan, A P C, Nani, G, Darko, A and Oppong, G D (2023) Impacts of management control mechanisms on the performance of international construction joint ventures: an empirical study. Engineering, Construction and Architectural Management, 30(06), 2280-303.

Xie, L L, Luo, Z and Zhao, X (2023) Critical factors of construction workers' career promotion: evidence from Guangzhou city. Engineering, Construction and Architectural Management, 30(06), 2334-59.

Yuan, X X (2012) Bayesian method for the correlated competitive bidding model. Construction Management and Economics, 30(06), 477-91.

Type: Journal Article
Keywords: bidding; decision analysis; modelling; statistical analysis; uncertainty
ISBN/ISSN: 0144-6193
URL: https://doi.org/10.1080/01446193.2012.666802
Abstract:
A multivariate competitive bidding model takes into account the correlation among competitors in determination of markup size. However, parameter estimation for the multivariate model is a challenging issue. A simplified, piecemeal style statistical method was proposed for low-dimension problems. However, this method may cause significant estimation errors when applied to complex bidding situations. A refined Bayesian statistical method based on Markov chain Monte Carlo (MCMC) simulation is developed that can be employed in practical bidding problems. To deal with missing values in bid data, a data augmentation technique is integrated in the MCMC process. The proposed Bayesian method is shown through case studies to be robust for complex bidding situations and also insensitive to the selection of the prior models of the correlation matrix. An important feature of the proposed Bayesian method is that it allows a project manager to quantify statistical uncertainties of parameter estimation and their effects on markup decisions. The optimal markup is represented by a posterior distribution which paints a complete picture of the uncertainties involved in the markup size decision.

Zaman, U, Florez-Perez, L, Anjam, M, Ghani Khwaja, M and Ul-Huda, N (2023) At the end of the world, turn left: examining toxic leadership, team silence and success in mega construction projects. Engineering, Construction and Architectural Management, 30(06), 2436-62.

Zhang, H M, Chong, H Y, Zeng, Y and Zhang, W (2023) The effective mediating role of stakeholder management in the relationship between BIM implementation and project performance. Engineering, Construction and Architectural Management, 30(06), 2503-22.