for Journals by Title or ISSN
for Articles by Keywords
help
Journal Cover Australasian Journal of Construction Economics and Building
  [8 followers]  Follow
    
  This is an Open Access Journal Open Access journal
   ISSN (Print) 1445-2634 - ISSN (Online) 1837-9133
   Published by U of Technology Sydney Homepage  [7 journals]
  • A project management framework for enhanced productivity performance using
           building information modelling

    • Authors: Longhui Liao, Evelyn Ai Lin Teo, Sui Pheng Low
      Pages: 1 - 26
      Abstract: Although the Singapore government has mandated submissions of building plans in building information modelling (BIM) format since July 2013, this does not yet seem to lead to enhanced productivity performance. BIM collaboration between designers and downstream contractors appears to remain inadequate. While many studies have been conducted on using BIM for better project outcomes, studies that relate BIM with the identification of non-value adding activities in the project lifecycle and the reduction of the resulting wastes are at infancy stage. This paper aims to propose a project management framework for enhancing the productivity of building projects in Singapore, which forms Phase I of an ongoing research project. A two-pronged approach is presented. Firstly, non-value adding activities in the current project delivery process that uses BIM partially in Singapore are identified by comparing the typical current process with full BIM-based processes; such activities are cut down after process transformation in terms of people, process, and technology. Secondly, time savings derived from reducing the wastes caused by these activities are quantified. The proposed framework was validated by a case study of a local residential project. It was concluded that this framework provides a valuable tool for project teams to enhance productivity performance.
      PubDate: 2017-09-21
      DOI: 10.5130/AJCEB.v17i3.5389
      Issue No: Vol. 17, No. 3 (2017)
       
  • Challenges, success factors and strategies for women’s career
           development in the Australian construction industry

    • Authors: Jasmin E. Rosa, Carol K.H. Hon, Bo Xia, Fiona Lamari
      Pages: 27 - 46
      Abstract: Construction is traditionally a male industry. Women have long had difficulties entering or advancing their career in construction. Evidence shows that a diversified workforce with gender balance will bring about higher levels of productivity. Despite the importance of this issue, there have been limited studies on women’s career development in construction. This study aims to investigate women’s career development in the Australian construction industry, with objectives to evaluate the challenges and success factors of women’s career development in the construction industry and provide strategies for narrowing the gender imbalance. A mixed approach of questionnaire survey and interview were conducted with female practitioners in the construction industry. Forty-three completed questionnaires were received and 10 interviews were conducted. Stress, family-work balance, and negative perception towards women in construction were the top three challenges identified. Dedication, determination, and independence were the top three success factors of women in construction. This study recommends construction employers consider providing personal development programs and flexible working arrangement for their female employees. Significance of this study lies on contributing to understanding women’s career development in construction. Findings will be useful for government and professional institutions to promulgate strategies for advancing women’s career development in construction.
      PubDate: 2017-09-21
      DOI: 10.5130/AJCEB.v17i3.5520
      Issue No: Vol. 17, No. 3 (2017)
       
  • Exploring project managers’ perception of stress when working in
           increasingly complex construction projects

    • Authors: Jacqueline Mary Jepson, Konstantinos Kirytopoulos, Kerry London
      Pages: 47 - 67
      Abstract: Stress is a recognised feature of the project managers’ life. Projects are becoming more complex with the uncertainty in the system contributing to the lack of control and added stress. This study explores a microcosm of 25 project managers in the South Australian construction industry, their perceived level of uncertainty and stress. The project managers interviewed provide their views on what their key stressors were and the mechanisms they use to manage effectively their stress. The results showed that structural, technical and directional complexity of projects was high, but this did not always convert into more stress for the project managers. The results indicate that stressors like the lack of resources; lack of control and increasing accountability were project managers’ primary concerns. Coping strategies included optimism, applying emotional intelligence and active planning strategies. In addition, they reduced their stress by working with good teams, using theirs and their team's experience, implementing sound systems and processes and effectively researching and gathering information.
      PubDate: 2017-09-21
      DOI: 10.5130/AJCEB.v17i3.5567
      Issue No: Vol. 17, No. 3 (2017)
       
  • The log mean divisia index based carbon productivity in the Australian
           construction industry

    • Authors: Lingfeng Liang, Xiancun Hu, Linda Tivendale, Chunlu Liu
      Pages: 68 - 84
      Abstract: Environmental protection and economic growth are two indicators of sustainable global development. This study aims to investigate the performance of environmental protection and economic growth by measuring carbon productivity in the construction field. Carbon productivity is the amount of gross domestic product generated by the unit of carbon emissions. The log mean Divisia index method is used to investigate influential factors including carbon intensity, energy intensity and regional adjustment that impact on changes of carbon productivity. The study utilises a range of data from the Australian construction industry during 1995-2004 including energy consumption, industry value added and carbon dioxide equivalent consumption. The research indicates carbon productivity in the Australian construction industry has clearly increased. Energy intensity plays a significant positive role in promoting carbon productivity, whereas carbon intensity and regional adjustment have limited influence. Introducing advanced construction machinery and equipment is a feasible pathway to enhance carbon productivity. The research method is generic and can be used to measure other performance indicators and decomposing them into influential factors.
      PubDate: 2017-09-21
      DOI: 10.5130/AJCEB.v17i3.5544
      Issue No: Vol. 17, No. 3 (2017)
       
  • Comparative empirical analysis of temporal relationships between
           construction investment and economic growth in the United States

    • Authors: Navid Ahmadi, Mohsen Shahandashti
      Pages: 85 - 108
      Abstract: The majority of policymakers believe that investments in construction infrastructure would boost the economy of the United States (U.S.). They also assume that construction investment in infrastructure has similar impact on the economies of different U.S. states. In contrast, there have been studies showing the negative impact of construction activities on the economy. However, there has not been any research attempt to empirically test the temporal relationships between construction investment and economic growth in the U.S. states, to determine the longitudinal impact of construction investment on the economy of each state. The objective of this study is to investigate whether Construction Value Added (CVA) is the leading (or lagging) indicator of real Gross Domestic Product (real GDP) for every individual state of the U.S. using empirical time series tests. The results of Granger causality tests showed that CVA is a leading indicator of state real GDP in 18 states and the District of Columbia; real GDP is a leading indicator of CVA in 10 states and the District of Columbia. There is a bidirectional relationship between CVA and real GDP in 5 states and the District of Columbia. In 8 states and the District of Columbia, not only do CVA and real GDP have leading/lagging relationships, but they are also cointegrated. These results highlight the important role of the construction industry in these states. The results also show that leading (or lagging) lengths vary for different states. The results of the comparative empirical analysis reject the hypothesis that CVA is a leading indicator of real GDP in the states with the highest shares of construction in the real GDP. The findings of this research contribute to the state of knowledge by quantifying the temporal relationships between construction investment and economic growth in the U.S. states. It is expected that the results help policymakers better understand the impact of construction investment on the economic growth in various U.S. states.
      PubDate: 2017-09-21
      DOI: 10.5130/AJCEB.v17i3.5482
      Issue No: Vol. 17, No. 3 (2017)
       
  • Comparing univariate techniques for tender price index forecasting:
           Box-Jenkins and neural network model

    • Authors: Olalekan Oshodi, Obuks Augustine Ejohwomu, Ibukun Oluwadara Famakin, Paulo Cortez
      Pages: 109 - 123
      Abstract: The poor performance of projects is a recurring event in the construction sector. Information gleaned from literature shows that uncertainty in project cost is one of the significant causes of this problem. Reliable forecast of construction cost is useful in mitigating the adverse effect of its fluctuation, however the availability of data for the development of multivariate models for construction cost forecasting remains a challenge. The study seeks to investigate the reliability of using univariate models for tender price index forecasting. Box-Jenkins and neural network are the modelling techniques applied in this study. The results show that the neural network model outperforms the Box-Jenkins model, in terms of accuracy. In addition, the neural network model provides a reliable forecast of tender price index over a period of 12 quarters ahead. The limitations of using the univariate models are elaborated. The developed neural network model can be used by stakeholders as a tool for predicting the movements in tender price index. In addition, the univariate models developed in the present study are particularly useful in countries where limited data reduces the possibility of applying multivariate models.
      PubDate: 2017-09-21
      DOI: 10.5130/AJCEB.v17i3.5524
      Issue No: Vol. 17, No. 3 (2017)
       
  • Claims, Disputes and Litigation Involving BIM

    • Authors: Mohamad Kassem
      Pages: 124 - 126
      Abstract: Jason, D. 2015. Claims Disputes and Litigation Involving BIM. Devon, UK: Routledge. ISBN: 978-0-415-85894-6. 208 pages.
      PubDate: 2017-09-21
      DOI: 10.5130/AJCEB.v17i3.5746
      Issue No: Vol. 17, No. 3 (2017)
       
  • Concentration Analysis of New Private Residential Units Market in Hong
           Kong

    • Authors: Sai On Cheung, Brigitta Levina, Yuhan Niu
      Pages: 1 - 23
      Abstract: The new residential property price in Hong Kong has rocketed in the last decade and has ranked within the top three metropolitan cities in the world. Housing is a necessity for most people, high residential property price has its social ramification. The rocketing price seems not solely the result of the market. As such, this raised the issue of competition in this market. This study employs Concentration Ratio and Hirfindahl-Hirschman index to evaluate the market concentration of the New Private Resident Units Market in Hong Kong. Using the best information available in the public domains and applying universal thresholds, the New Private Resident Units Market in Hong Kong is considered moderately concentrated. It is noted that the big five listed developers in Hong Kong are collectively holding a dominant position of the potential supply. Moreover, the top three have comparable market shares thus suggesting no monopoly exists. It is also found that the substantial land banks held by the five big listed developers, amount to 60% of that owned by the Government. These developers will therefore retain their dominant market power in the future. Further study is recommended to examine whether the big developers have abused their market power.
      PubDate: 2017-06-23
      DOI: 10.5130/AJCEB.v17i2.5232
      Issue No: Vol. 17, No. 2 (2017)
       
  • Volume Home Building: The Provision of Sustainability Information for New
           Homebuyers

    • Authors: Georgia Warren-Myers, Erryn McRae
      Pages: 24 - 40
      Abstract: The new residential housing sector is producing approximately 200,000 homes a year that could benefit from methods to increase sustainability and energy efficiency. Currently, there is limited implementation of sustainability measures beyond mandatory minimum requirements in Australia. New homebuyers are often the scapegoats for the poor sustainability adoption due to their perceived lack of interest and willingness to pay. However, their knowledge and engagement in sustainability is likely to be strongly guided by information provided by the volume builders. This paper investigates the sustainability information that homebuyers are provided by builders, as communicated through their websites. Web searching as an important means of information gathering in the preliminary stages of the process for new homebuyers. This paper reports on the analysis of Australia’s Home Industry Association’s top 100 volume builders’ websites and their provision of sustainability information. The results suggest the lack of sustainability-related information provided by builders is contributing to disengagement by consumers in the sustainability features available in new homes.
      PubDate: 2017-06-23
      DOI: 10.5130/AJCEB.v17i2.5245
      Issue No: Vol. 17, No. 2 (2017)
       
  • Towards a Coherent Theory of Project Alliancing: Discovering the
           System’s Complex Mechanisms Yielding Value for Money

    • Authors: Pertti Lahdenperä
      Pages: 41 - 61
      Abstract: Alliancing is a relatively new construction project delivery method receiving increasing interest globally while also eliciting many questions about its effectiveness. That is why its operating logic should be clarified beyond the currently existing general views. Correspondingly, this paper aims to define the means and mechanisms which influence the capacity of alliancing to produce value for money. The work establishes the interlaced impact chains between formal basic solutions of alliancing and the key result areas defining the value-for-money ratio. This is made by focussing on a single alliance project and its procedural solutions and experiences. The case project of the study was an urban road tunnel under a city structure and the impact chains were explored by interviewing all eight members of the alliance leadership team covering all contracting parties. The two-stage personal interviews were conducted in accordance with the systematic modelling procedure resulting in eight cognitive maps which were then combined into a group map. The resulting model included around one hundred interlinked concepts initially, but was streamlined for the paper. Accordingly, alliancing offers a concrete framework which gives better than normal chances of success in the case of complex, challenging projects fraught with much uncertainty. Many diverse basic alliance solutions/features contribute to success, while each feature also seems to strengthen the impact of the others. This suggests that, at its best, pure project alliance is not only a coherent but also a holistic solution to challenging projects.
      PubDate: 2017-06-23
      DOI: 10.5130/AJCEB.v17i2.5292
      Issue No: Vol. 17, No. 2 (2017)
       
 
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
 
Home (Search)
Subjects A-Z
Publishers A-Z
Customise
APIs
Your IP address: 54.81.131.189
 
About JournalTOCs
API
Help
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-2016