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    Establishment of Critical Success Factors for Construction Partnering 

    Source: Journal of Management in Engineering:;2000:;Volume ( 016 ):;issue: 002
    Author(s): Eddie W. L. Cheng; Heng Li; P. E. D. Love
    Publisher: American Society of Civil Engineers
    Abstract: Research into the use of partnering in construction has become ubiquitous; however, a framework is needed that can be used to identify critical success factors (CSFs) that contribute to the successful use of partnering in ...
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    Public-Private Partnerships: Capital Market Conditions and Alternative Finance Mechanisms for Australian Infrastructure Projects 

    Source: Journal of Infrastructure Systems:;2013:;Volume ( 019 ):;issue: 003
    Author(s): M. Regan; P. E. D. Love; J. Smith
    Publisher: American Society of Civil Engineers
    Abstract: The impact of the prevailing capital markets on public-private partnerships and their future use in the medium term in Australia are examined. Alternative finance mechanisms that can be used by Australian state governments ...
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    Stock-Flow Model for Forecasting Labor Supply 

    Source: Journal of Construction Engineering and Management:;2012:;Volume ( 138 ):;issue: 006
    Author(s): Chun-pong Sing; P. E. D. Love; C. M. Tam
    Publisher: American Society of Civil Engineers
    Abstract: Forecasting the supply of labor in the construction industry is pivotal to long-term economic growth. A labor supply model using a stock-flow approach was developed in this research for use in the construction industry. ...
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    ANN-Based Mark-Up Estimation System with Self-Explanatory Capacities 

    Source: Journal of Construction Engineering and Management:;1999:;Volume ( 125 ):;issue: 003
    Author(s): H. Li; L. Y. Shen; P. E. D. Love
    Publisher: American Society of Civil Engineers
    Abstract: Artificial neural networks (ANNs) have been applied to support construction mark-up estimation. The major drawback of this application, however, is that an ANN system is unable to explain why and how a particular recommendation ...
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    Chaos Theory: Implications for Cost Overrun Research in Hydrocarbon Megaprojects 

    Source: Journal of Construction Engineering and Management:;2017:;Volume ( 143 ):;issue: 002
    Author(s): O. J. Olaniran; P. E. D. Love; D. J. Edwards; O. Olatunji; J. Matthews
    Publisher: American Society of Civil Engineers
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    Dynamic Modeling of Workforce Planning for Infrastructure Projects 

    Source: Journal of Management in Engineering:;2016:;Volume ( 032 ):;issue: 006
    Author(s): Michael C. P. Sing; P. E. D. Love; D. J. Edwards; Junxiao Liu
    Publisher: American Society of Civil Engineers
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    Praxis of Rework Mitigation in Construction 

    Source: Journal of Management in Engineering:;2016:;Volume ( 032 ):;issue: 005
    Author(s): P. E. D. Love; F. Ackermann; B. Carey; J. Morrison; M. Ward; A. Park
    Publisher: American Society of Civil Engineers
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    Personality and Occupational Accidents: Bar Benders in Guangdong Province, Shenzhen, China 

    Source: Journal of Construction Engineering and Management:;2014:;Volume ( 140 ):;issue: 007
    Author(s): C. P. Sing; P. E. D. Love; I. W. H. Fung; D. J. Edwards
    Publisher: American Society of Civil Engineers
    Abstract: Limited research has been undertaken to explore how Chinese construction workers’ personality affects their safety behavior. Inappropriate behavior on-site can instigate serious accidents, injuries, or fatality as well as ...
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    Forecasting Private-Sector Construction Works: VAR Model Using Economic Indicators 

    Source: Journal of Construction Engineering and Management:;2015:;Volume ( 141 ):;issue: 011
    Author(s): Michael C. P. Sing; D. J. Edwards; Henry J. X. Liu; P. E. D. Love
    Publisher: American Society of Civil Engineers
    Abstract: Accurately modeling and forecasting construction works completed by main contractors is pivotal for policymakers, who require reliable market intelligence to adjust or develop optimal labor and housing policies. Yet, despite ...
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    Discussion of “State of Practice of Building Information Modeling in the Electrical Construction Industry” by Awad S. Hanna, Michael Yeutter, and Diane G. Aoun 

    Source: Journal of Construction Engineering and Management:;2016:;Volume ( 142 ):;issue: 003
    Author(s): P. E. D. Love; J. Zhou; J. Matthews; C.-P. Sing; O. Olatunji; B. Carey
    Publisher: American Society of Civil Engineers
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