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Abstract. With a focus on different aspects of stakeholder management, various sets of critical success factors (CSFs) have been suggested in the literature. It is crucial to explore the relative importance and groupings of these factors. This paper aims to identify CSFs associated with stakeholder management in construction projects, and explore their ranking and underlying relationship. 15 CSFs were identified through a literature review, and consolidated by interviews and pilot studies with professionals in construction industry. A questionnaire instrument containing these 15 CSFs was sent out to project managers in Hong Kong, and 183 completed questionnaires were retrieved. The top three ranked factors for stakeholder management were "managing stakeholders with social responsibilities", "assessing the stakeholders' needs and constraints to the project", and "communicating with stakeholders properly and frequently". Using factor analysis and considering the high importance of the factor "managing stakeholders with social responsibilities", the 15 CSFs were grouped into five dimensions namely, precondition factor, stakeholder estimation, information inputs, decision making, and sustainable support. All these five groupings and their relationship were included in a framework for successful stakeholder management in construction projects. These findings help to clarify what the high prioritized factors are, and could also be used as an assessment tool to evaluate the performance of stakeholder management and thus help to identify areas for improvement.

The increasing awareness of environmental impacts from construction wastes has led to the development of waste management as an important function of construction project management. Various approaches for managing construction wastes have been developed in the existing research works and practices, and these works can be grouped largely into three areas: waste classification, waste management strategies (avoiding waste, reducing waste, reusing waste and recycling waste), and waste disposal technologies. Nevertheless these approaches give less attention to the management of waste handling process during construction. Form their generation to final disposal, construction wastes will pass through a number of processes where various measures will be used to handle with wastes. It is considered that proper flow of these handling processes can improve overall waste management effectiveness. This paper extends the existing research studies to examining the process of waste management during construction on site by using mapping presentations. This examination is undertaken through analyzing six cases selected in Hong Kong construction.The examination leads to developing a waste management flow model (WMFM), which is designated to incorporate the good operations embodied in the existing practice and function as a standard model of waste management procedures. The model has been tested in two projects. 2 The model can provide an alternative tool assisting in planning waste management procedures on site. It also serves as a vehicle to compare the waste management practices between construction sites, thus both good practices and weak areas in managing wastes can be found.

Multiple regression is used to construct a prediction equation relating bidder competitiveness (the dependent variable) to the independent variables of bidder, contract type and contract size. The regression model shows that differences in contractor competitiveness are greater for different contract sizes than for different contract types. The most competitive contractors appear to be those with a preferred contract size range. Such a model can be used as part of a more systematic approach in prequalifying contractors. It may also be used by contractors as a basis for assessing bidding performance.Competitiveness, Bidding, Regression Analysis, Contract, Contractor Selection,

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A theoretical framework is proposed for determining the minimum number of bidders in competition for projects in the construction industry. This is based on the neo-classical micro-economic theory for price determination in construction and the assumption of random contractor-selection. Empirical analysis of the Hong Kong data set not only illustrates the applicability of the framework, but also supports the relevance of the microeconomic model for construction price determination. The main implication for clients is that, in order to obtain the most competitive bids for projects in the most cost-efficient way, they should vary the minimum number of bidders in competition according to market conditions.Construction Price Determination, Tendering Theory, Construction Economics, Number Of Bidders,

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