To study the impact of the early-stage USO characteristics on the likelihood to acquire funding and survive on the market (Chapter 4), and delineate different USO types based on self-perceived first-and second-order competences using unsupervised text mining techniques (Chapter 5), this dissertation uses a unique dataset from a Valorisation Grant (VG) programme managed by the Dutch Research Council (NWO; Dutch: Nederlandse Organisatie voor Wetenschappelijk Onderzoek) and previously Technology Foundation STW. NWO "ensures quality and innovation in science and facilitates its impact on society. Its main task is to fund scientific research at public research institutions in the Netherlands, especially universities. NWO focuses on all scientific disciplines and fields of research. The funds are allocated by means of a national competition on the basis of quality and independent assessment and selection procedures. NWO plays several roles as a broad, national research organisation that actively contributes to various elements of national science and innovation policy" (NWO 2020). Considering that NWO' funding instruments are primarily sponsored by the Ministry of Education, Culture and Science, and to some degree by other government ministries (e.g. Ministry of Economic Affairs, Ministry of Health, Welfare and Sport, Ministry of Foreign Affairs, Ministry of Infrastructure and the Environment), NWO aims to provide funding to the best scientific talents and the best research proposals through competition (NWO 2020). In line with the recent literature arguing about the increasing importance of university spin-offs as technology and knowledge transfer mechanisms with a potential to create new economic and societal impact (see, e.g. Bock et al. 2017; François and Philippart 2019; Muscio et al. 2016), NWO recognises the need to provide financial support to leverage the initial venturing stages of academic entrepreneurs. Through the VG programme, NWO seeks to minimise the gap between pre-organisation phase of USOs and the credibility threshold that enables USOs to signal external investors and venture capitalists about their readiness to CHAPTER 2: Mapping the field: A bibliometric analysis of the literature on university-industry collaborations This chapter is published as Skute, I., Zalewska-Kurek, K., Hatak, I., & de Weerd-Nederhof, P. (2019). Mapping the field: a bibliometric analysis of the literature on university-industry collaborations.