Nowadays, firms increasingly rely on strategic alliances to reach out for unique technological knowledge that firms cannot develop internally. However, in previous literature, we find inconsistent findings regarding the drivers and outcomes of a firm's leverage of alliance partners' technological knowledge. In this dissertation, I consider opposite propositions in prior studies simultaneously and examine two research questions: 1) what motivates a firm to search technological knowledge from alliance partners? And 2) how configurations of alliance knowledge and alliance network affect firm innovation? I argue that alliance knowledge search motivation is determined by the allocation of managerial attention to local domains and distant domains. While distant attention motives alliance knowledge search, local attention suppresses the motivation. I hypothesize that innovation performance below the aspiration level intensifies both local and distant attentions and has an inverted U-shaped relationship with alliance knowledge search intensity. This curvilinear relationship is moderated by the focal firm's knowledge stock size since firms with large knowledge stock are more likely to develop distant attention in the presence of poor innovation performance. I further argue that exploration and exploitation play key roles in the configurations of both alliance knowledge and alliance network. Alliance knowledge leveraging can contribute more to firm innovation, if the firm can establish a balance between exploration and exploitation. I propose that balancing exploration and exploitation within a single domain (e.g., search moderately explorative alliance knowledge) generates great managerial costs. However, firms can balance exploration and exploitation across domains: they can leverage explorative knowledge through exploitative alliances, such as repeated partnerships and strong ties. I test related hypotheses using longitudinal data from the U.S. biopharmaceutical industry. Results show that: 1) innovation performance below the aspiration level has an inverted U-shaped relationship with alliance knowledge search, demonstrating that both distant and local attention play important roles in developing the motivation for alliance knowledge search; 2) increasing knowledge stock size increases both positive and negative effects of innovation performance below aspiration; 3) technological distance of searched alliance knowledge has a linear negative effect on firm innovation; and 4) leveraging explorative knowledge from repeated partnership, but not strong ties, leads to superior innovation performance, supporting the idea of establishing the balance across domains. The findings make important contributions to alliance knowledge leveraging, aspiration, and exploration-exploitation literatures. The managerial implications of the study are also discussed. / Ph. D.

Search for the knowledge within big companies could become pain not only for knowledge seekers, but as well for knowledge managers in case they want a solution, that reflects well actual state of knowledge of a company, allows discovering emerging areas of knowledge and at the same time its maintenance does not require huge amounts of effort. This doctoral thesis starts by a comprehensive analysis of needs of expertise location of current company, description of theoretical backgrounds, related approaches and fundamental directions in expertise location, analyses their advantages and disadvantages and on the ground of this analysis presents a new expertise location technique that tries to avoid disadvantages of current expertise location systems by keeping their advantages. The technique is designed to respect the needs of effective knowledge management within a company, which main assets are their employees, their knowledge reflected in unstructured documents they produce as a part of their daily work. Described knowledge mapping technique analyses document publication history of company members and proposes various measures to asses and characterize their knowledge. The implementation of the knowledge mapping technique allows its direct usage (as an expert search engine) as well as its own evaluation (validity of search engine results). The efficiency of proposed measures on various types of document sources (project directories/versioning repositories/etc.) and within various dimension configurations (current/overall knowledge search) is evaluated by the practical evaluation method introduced within the thesis. The evaluation took place in the environment of a middle-sized software company allowing seeing directly a practical usability of the expertise location technique. The results of the evaluation are presented not only in statistical form, but in a form of suggestions of how to implement the model on various document sources within the company. The results suggest that described knowledge mapping technique is a viable approach in expertise location.