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Title: Knowledge acquisition from international strategic alliances-an empirical study of the electronics and IT industry in Taiwan
Author: Liu, Chia-Ling
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2005
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Cooperation and competition provide alternative or stimulator paths to success. In recent years, the intense competition and dynamic nature of the new market has fostered cooperation in several industries, such as telecommunications, information technology, and biopharmaceuticals. In order to achieve competitive sustainability, many firms have increased the adoption of strategic alliances. An important explanatory factor for the alliance growth trend is that alliances provide a platform for organizational learning, giving firms access to the knowledge of their partners. Although strategic alliances can take many forms, this research focuses on the international partnerships between buyers and suppliers of the electronics and IT industry in Taiwan. This research investigates the factors influencing alliance learning across boundaries and the relationship between knowledge acquisition and alliance learning outcomes. This research combines both a qualitative and quantitative approach. Five companies in the Top 200 Manufacturing List in Taiwan have participated in the case interviews. The participating firms appear sufficiently diverse in product domains, such as PC systems, Communication, Semiconductor and Display Solution. A total of 14 hypotheses are generated for quantitative testing. The conceptual model is empirically tested using large-scale survey data, based on the administration of electronic and mail questionnaires to key informants within an effective sample of 160 firms. Structural equation modeling is employed to test measurement veracity and the hypothesized relationships between the constructs in the model. The research findings support key structural paths in the conceptual model. This thesis is organized into seven chapters which are entitled, respectively: (1) Introduction to Thesis; (2) Literature Review; (3) Research Methodology; (4) Case Studies; (5) Hypotheses, Framework, and Measurements; (6) Analysis of Research Findings; and (7) Conclusions.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available