Stakeholder management studies in mega construction projects: A review and future directions

https://ira.lib.polyu.edu.hk/bitstream/10397/7153/1/Tang_Review_Public_Private.pdf

A review of studies on Public–Private Partnership projects in the construction industry

Organization for Economic Cooperation and Development (OECD)

With the rapid growth of the Chinese economy, the desperate demand for infrastructure developments has created bottlenecks in the country's sustainable development. Infrastructure investment could not be funded completely by the government alone. Taking Beijing as an example, there will be about 2,400 infrastructure projects to be developed during 2006-2010 with a total investment of over RMB 470 billion, which may impose budgetary pressure on the government. As a result, public-private partnership PPP could be considered as a favorable option to help provide these rapidly demanded public works and services. In order to investigate the potential for adopting PPPs in the People's Republic of China, this paper aims to explore the critical success factors CSFs necessary to conduct PPP projects. The views from Chinese experts were collected via an empirical questionnaire survey. The respondents were invited to rate a total of 18 CSFs that contribute to the success of PPP projects as gleaned from the contemporary literature. The results of this survey were analyzed by the factor analysis technique. The findings showed that the 18 CSFs could be grouped into five underlying factors including: Factor 1—stable macroeconomic environment; Factor 2—shared responsibility between public and private sectors; Factor 3—transparent and efficient procurement process; Factor 4—stable political and social environment; and Factor 5—judicious government control. DOI: 10.1061/ASCECO.1943-7862.0000152 CE Database subject headings: China; Infrastructure; Partnerships; Private sector; Procurement. Author keywords: China; Infrastructure; Partnerships; Private sector; Procurement.

Critical Success Factors for PPPs in Infrastructure Developments: Chinese Perspective

Japan is now making plans for the fifth generation of computers which will enable them to establish and dominate a ''knowledge industry''. The authors explain the new knowledge technology and outline America's weak, almost nonexistent response to the Japanese challenge. Contents, abridged: It's not just the second computer revolution, it's the important one. The Japanese fifth general. The nations. The American response. Epilog, or it is hard to predict, especially the future. Index.

Excerpts from The Fifth Generation: artificial intelligence and Japan's computer challenge to the world

Stakeholder management for public private partnerships

http://individual.utoronto.ca/hesham/Documents/MyPapers/Automation.pdf

A hybrid CAD-based construction site layout planning system using genetic algorithms

A domain ontology for construction concepts in urban infrastructure products

Accurate and reliable prediction of project performance is critical to the success of construction projects and companies alike. Such prediction assists in obtaining early warnings against potential problems. Existing project performance forecasting models are fragmented, especially regarding the consideration of interdependency between multidimensional performance indicators. To address these limitations, a system dynamics (SD) model was developed to simulate the complexities that exist among interdependent variables and forecast their dynamics over time. The proposed model integrates eight construction project performance indices, which have been identified through literature review and interviews with domain experts. Performance dimensions include cost, schedule, quality, profitability, safety, environment, team satisfaction, and client satisfaction. This model focuses on the construction phase of projects under unit price contracts and is intended for use by contractors. The model was tested on a road construction project to assess its practicality and accuracy. Results demonstrate general agreement between actual and forecasted performance indices. The model was also used to simulate four possible intervention scenarios by the project manager. Results of various scenarios show overall agreement with expected impacts of the interventions. The research advances the state of practice and knowledge of project performance forecasting through the creation of a more holistic and interdependent model of project performance metrics.

System Dynamics Approach for Forecasting Performance of Construction Projects

This paper presents a hybrid framework that integrates value analysis and decision making for eliciting and evaluating design alternatives. Value analysis approach relies on the integration of the functional analysis through the systematic use of the functional analysis system technique and quality function deployment. This value analysis methodology enables customer requirements to be linked to specific design alternatives during the project design stage. The degree of project complexity will affect the number of design alternatives to be evaluated. As such, the data envelopment analysis (DEA) is incorporated as a decision support tool to evaluate the degree to which each design alternative satisfies the customer requirements. DEA is used to calculate a customer requirement efficiency index for each alternative. This index is a measure of how well a particular alternative achieves the requirements taking into account its overall cost. The framework was successfully used on a high-tech research facility construction project.

Hesham Osman

Papers

Stakeholder management for public private partnerships

A hybrid CAD-based construction site layout planning system using genetic algorithms

A domain ontology for construction concepts in urban infrastructure products

System Dynamics Approach for Forecasting Performance of Construction Projects

Integrating Value Analysis and Quality Function Deployment for Evaluating Design Alternatives