Companies invest in research and development (R&D) with the expectation of boosting their innovation pipeline to achieve growth and profitability. In addition, many companies seeking to enhance their internal R&D capability adopt an open innovation strategy and engage with external entities. One form of external engagement is through collaborative research projects (CRPs) where the company joins a consortium composed of universities, public agencies and other companies to collaboratively work on and tackle complex research problems of common interest. Anecdotal evidence, however, suggests mixed outcomes of collaborative research projects in terms of achieving corporate research impact. Corporate research teams participating in CRPs have the dual tasks of (1) working with diverse collaborative research project team members from different organisations to create novel knowledge and (2) identifying and transferring high-potential knowledge into the company's innovation funnel for further commercial development, through a process called as the "fuzzy front end" (FFE) of innovation. Achievement of corporate research impact requires the achievement of both tasks. This study focuses on how the interplay of network characteristics and knowledge processes within the collaborative research project networks and across the corporate-internal networks influences the achievement of research impact. This study posits that knowledge transfer among network stakeholders is a facilitating mechanism in generating research impact. This study further posits that the structural and relational characteristics of the network influence knowledge transfer, which in turn facilitates research impact. To test these hypotheses, this study examines the social networks of several collaborative research projects in which the corporate research department of a global software company participated. Based on the data collected from collaborative research project teams, their interactions with corporate research team and corporate internal networks and drawing on network theory, this study aims to examine how network characteristics influence the knowledge transfer processes that facilitate research impact. This thesis uses a multi-method and multi-level design. Study 1 investigates the effect of the structural characteristics of the global network of collaborative research projects on research impact. Studies 2 and 3 involve the analyses of collaborative research project networks in Australia and Europe. Both studies aim to understand how the characteristics of project-level Publications during candidature