Study On Benefit Distribution Of Knowledge Alliances Of Sudden Events In Construction Projects

Construction is a risky business. Because the construction project involves many factors, such as political environment, society, location conditions, climate conditions, economic situations, capital and labor policies, laws and regulations and other factors, it is especially vulnerable to sudden events. Although the probability of sudden events is nominal, the unfavorable effect is very serious, which does not only cause casualties and property loss, but also affect the reputation in the industry seriously.However, due to huge investments, the complex project environment and so on, the contractor and project owners are lacking in experiences to handle sudden events, which makes them miss the best time to recover the losses, and even turns the emergency into a greater crisis. Therefore, this thesis makes researches on the knowledge management of sudden events in construction projects and builds a model for the distribution of profits to ensure the knowledge alliances keep stable, which constitutes the objectives of the thesis.In view of the objectives, the thesis puts forward the principles of building knowledge alliances and the steps of member selection by literature review and considering the situation in construction industry. Combined with the information technology, the thesis pursue the framework which involves BBS, Blog, IM, SNS, Tag, Micro-Blog, to send the knowledge running faster though the knowledge alliances of sudden events in construction projects. By comparing the approaches of benefits distribution, the thesis builds a single-stage model for benefits distribution of the knowledge alliance, which is based on Nash bargaining theory. Later, the thesis expands the single-stage model into the two-stage model by increasing the game links and establishing functions between the profit distribution and the effort level, to find the optimal benefits distribution plan. In the end, by extending two-stage model to multi-stage model, the thesis analyze the relationship between the number of game links and the net profit of the knowledge alliances, to ensure the benefits distribution plan is fair and rational.