Technology-Based Startups (TBSs) are newly emerged entrepreneurial ventures typically launched by a team with the purpose of bringing innovative products or services to market. Today, it is widely recognized that TBSs play a very important role in the economy as a source of disruptive and radical innovations and creation of new jobs. 
However, most TBSs face significant challenges associated with conflicts among team members and with changes in the environment, which affect their innovation performance and survival. This thesis proposes the concept "Team Collaboration Capabilities" (TCCs) referred to the interaction among TBS team members as an essential organizational condition to allow the construction of new strategic dynamic capabilities. We consider four elements as the main dimensions of TCCs: trust, communication, problem-solving and team efficacy. In particular, the thesis focuses on the relationships between TCCs, operational capabilities, and innovation performance. The empirical study draws on 45 valid responses of TBSs. Most of the companies in our sample were participants in accelerator programs. The data analysis uses structural equation modeling (SEM) as a technique that allows a component-based estimation for cause-effect modeling with latent variables. The findings suggest that the development of TCCs in TBSs contribute to building new operational capabilities that result in greater innovation performance. We also propose future lines of research for the role of TCCs in external collaborations. For example, to assess public initiatives that take into account the critical phases of TBSs development, the promotion of talent attraction and the furtherance of compensation schemes that retain it. Finally, it would be interesting to study the collaboration between the TBSs and other external agents in open innovation projects. We believe that these collaborations would favor their survival and competitiveness.