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Study On Performance-Oriented Selection Strategies Of Service Vendors And Their Knowledge Sharing

Posted on:2012-04-25Degree:MasterType:Thesis
Country:ChinaCandidate:C Y ShaoFull Text:PDF
GTID:2189330335954773Subject:Management Systems Engineering
Abstract/Summary:PDF Full Text Request
IT service outsourcing project plays an important role for optimizing resource allocation and further enhancing the core competitiveness of enterprises. Both IT service vendors (developers) and enterprises (users) are increasingly dependent on IT service project performance and successful delivery. As a key factor for IT service project, selection and effective management of IT service vendors becomes an important way to improve project performance and guarantee successful delivery. The results show that project performance is generally low and most of the IT service projects are delayed and cannot satisfy requirements of enterprises. Because of the unique characteristic of IT service project and the importance of knowledge resources, traditional strategies of IT service vendor selection and management are not suitable for the current management practice. Therefore, for the purpose of improving project performance, it has important theoretical and practical significance that how to select out preferred IT service vendors based on knowledge and manage them from the perspective of knowledge-sharing.The basic idea of this paper is that based on game theory, theory of adverse selection and incentive theory, the studies are carried out from the two aspects of choosing the preferred IT service vendors and effectively managing the selected IT service vendors in order to improve the project performance.This paper firstly focuses on the strategies of choosing the preferred IT service vendors. With full consideration of bounded rational enterprise, capabilities of knowledge management, risks of IT service project, informative signals, type of IT service project, requirements of IT service quality, quality level of IT service vendors, it constructs IT service provider selection model based on prior informative signal and two-stage IT service vendors selection model based on mean-variance theory and then derives the selection strategies of IT service vendor. In the previous model, different types of IT service project require different service quality and different IT service vendors provide different levels of IT service quality. In order to match between requirements of service quality and capabilities of providing IT service quality, it considers the optimal strategies respectively under the two cases with and without the observed informative signals. And it also gives comparative analysis of similarities and differences of the optimal screening strategies, and moreover presents the effects of informative signals on the optimal strategies. In the latter model, enterprise is bounded rationality and IT service vendors are full rationality. It presents the optimal selection of IT service vendors, analyzes the impacts of related parameters on the optimal strategy, predicts the trends of the model and verifies the validation of the optimal strategy and the related conclusions.Then this paper emphasizes on the effectively managing the selected IT service vendors from the perspective of knowledge sharing. With the full account of inherent characteristics of knowledge, bounded rational IT service providers, it conducts how to develop the incentive strategies for complementary special knowledge sharing. It establishes the complementary special knowledge sharing models under the two conditions of IT service vendors being bounded rational and full rational. And then it derives optimal incentive strategies depending on the complementary degree of special knowledge. Moreover, it makes an emphasis on the impacts of the knowledge complementary degree and risk-averse degree on the optimal incentive strategies.In the process of our study, we make full use of the current research results and deeply analyze performance-oriented selection strategies of IT service vendor and incentive strateiges for their complementary special knowledge-sharing. The results derived in this article can give theoretical support and practical guidance for the enterprise improving project performance.
Keywords/Search Tags:Selection of IT Vendors, Knowledge Sharing, Knowledge Complementarity, Bounded Rational, Project Performance
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