The innovation ecosystem perspective and value chain perspective on innovation platforms are well established lenses in the literature. This paper reviews three case study research designs techniques namely casual process tracing (CPT), congruence analysis (CON) and systematic combining (SC). CPT relies on empirical observations to provide a rich description of casual process. CON focus on drawing inferences from concrete observations with predictions deduced from theories to relevance of these theories. SC allows a continuous evolution of theoretical frameworks, fieldwork, and case analysis to development of new theories. A detailed description of each approach is given by highlighting the focus of the approach, theories that can be evaluated, case selection criteria, data generation mechanisms, analytical approaches and expected generalisations. CON was identified as the most suitable approach to satisfy the objective of the research.  The contribution of this article is development of steps to conduct the case study. The steps developed are 1) research question generation 2) development of theoretical frameworks 3) selection of cases 4) observations 5) analysis and 6) generalisations. The next area of research in this study is the development of theoretical frameworks from innovation ecosystems perspective and value chain perspective.