Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 19 results ...

Abdel Aziz, A M (2008) Minimum performance bounds for evaluating contractors performance during construction of highway pavement projects. Construction Management and Economics, 26(05), 507-29.

Bee Hua, G (2008) The state of applications of quantitative analysis techniques to construction economics and management (1983 to 2006). Construction Management and Economics, 26(05), 485-97.

  • Type: Journal Article
  • Keywords: artificial intelligence; statistical method; quantitative analysis technique; bibliometrics; construction economics
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190801998716
  • Abstract:
    With increasing complexity of construction industry problems, researchers are experimenting with computationally rigorous techniques with the aim of seeking innovative solutions. In order to trace the applications of quantitative analysis techniques to research in the two fields of construction economics and construction management for both conventional and AI techniques, the methodology involves compiling all the relevant papers from the top two ranking construction management journals, namely, Construction Management and Economics and ASCE's Journal of Construction Engineering and Management. The period is from 1983 to 2006. The compiled papers are classified by field, area (or topic), technique applied and year of publication to enable time series and cross-sectional analyses of the data. Mainly, the results are depicted as trends when the patterns of distribution of the papers are plotted over time. The three findings are: (1) for construction economics, the overall increasing trend is higher for papers that have applied conventional techniques; (2) for construction management, there is a clear positive trend for papers that have applied AI techniques which starts from 1995; and (3) the areas (or topics) of construction management that have increasingly higher growth in the application of AI techniques are optimization of site operations and optimization of project time, cost and resources allocation. Two broad recommendations are made that relate to advancing the fields of construction economics and construction management with the view that researchers must better enable themselves to build tools that incorporate intelligence as innovative solutions for increasingly complex problems.

Campagnac, E (1998) National system of innovation in France: Plan Construction et Architecture. Building Research & Information, 26(05), 297–301.

de Valence, G (2019) Reframing construction within the built environment sector. Engineering, Construction and Architectural Management, 26(05), 740–5.

Fulford, R G (2019) The implications of the construction industry to national wealth. Engineering, Construction and Architectural Management, 26(05), 779–93.

Gann, D M, Wang, Y and Hawkins, R (1998) Do regulations encourage innovation? The case of energy efficiency in housing. Building Research & Information, 26(05), 280–96.

Gonzalez-Ruiz, J D, Arboleda, A, Botero, S and Rojo, J (2019) Investment valuation model for sustainable infrastructure systems. Engineering, Construction and Architectural Management, 26(05), 850–84.

Haji Karimian, S, Mbachu, J, Egbelakin, T and Shahzad, W (2019) Improving efficiency in roading projects: a New Zealand study. Engineering, Construction and Architectural Management, 26(05), 827–49.

Haugbølle, K, Larsen, J N and Nielsen, J (2019) Construction productivity revisited: towards measuring performance of construction output. Engineering, Construction and Architectural Management, 26(05), 794–813.

Ilhan, B and Yobas, B (2019) Measuring construction for social, economic and environmental assessment. Engineering, Construction and Architectural Management, 26(05), 746–65.

Lam, K-C, Lam, M C-K and Wang, D (2008) MBNQA_oriented self_assessment quality management system for contractors: fuzzy AHP approach. Construction Management and Economics, 26(05), 447-61.

Lopes, J P, Oliveira, R A and Abreu, M I (2019) Estimating the built environment stock in Cape Verde. Engineering, Construction and Architectural Management, 26(05), 814–26.

Mbachu, J (2008) Conceptual framework for the assessment of subcontractors' eligibility and performance in the construction industry. Construction Management and Economics, 26(05), 471-84.

Nyström, J (2008) A quasi_experimental evaluation of partnering. Construction Management and Economics, 26(05), 531-41.

Pantouvakis, J-P and Manoliadis, O G (2008) A compromise programming model for site selection of borrow pits. Construction Management and Economics, 26(05), 433-46.

Rameezdeen, R and Ramachandra, T (2008) Construction linkages in a developing economy: the case of Sri Lanka. Construction Management and Economics, 26(05), 499-506.

Ruddock, L and Ruddock, S (2019) Wealth measurement and the role of built asset investment: an empirical comparison. Engineering, Construction and Architectural Management, 26(05), 766–78.

Winch, G (1998) Zephyrs of creative destruction: understanding the management of innovation in construction. Building Research & Information, 26(05), 268–79.

Ye, K, Jiang, W and Shen, L (2008) Project competition intensity (PCI) in the construction market: a case study in China. Construction Management and Economics, 26(05), 463-70.