| Summary: | 碩士 === 國立臺灣科技大學 === 資訊管理系 === 98 === In recent years, there has been an increasement of information infrastructure outsourcing projects. Governmental organizations hope for the projects to become more targeted and close to actual demands along with the benefit of spreading risks via cooperating with private companies. In earlier years, most of outsourcing research, particularly those focusing on the information infrastructure projects that came with complexity, took binary approaches. This study suggests that the factors contributing the success of those projects involve more than those emerging from both organizations of outsourcing. A more valid investigation needs to take into consideration of the whole network in which both parties are connected.
This study refers the cooperational relationships between governmental and non-governmental organizations as “networks,” taking from an organizational ecology scope along the aid of community level analysis. Interorganizational networks increase their viability through mutual resource-sharing and pursuing common goals. New resources can be generated in such a network mode of cooperation, which makes it capable of overcoming environment uncertainty. This study takes organizational ecology theory as its theoretical framework, and integrates data gathered from the process of large-scale information infrastructure outsourcing projects. In this paper, the study-case is discussed in terms of ecological process, which in turn is divided into three evolutionary phases: community initial phase, evolutionary symbiotic phase and structural maintenance phase. Furthermore, it presents a community ecology graph to illustrate every organization in community the entering and exiting and the process of cooperation and symbiosis. Finally, the paper suggests a conclusion derived from the community structure, density, and centrality of the study-case, and summarizes the factors that impact large-scale information infrastructure outsourcing developments in the network as (1) complexity and intensity of interorganizational relationships among the organizations, and (2) the amount of connective nodes that an organization has and their strengths.
|
|---|
