The flexible pattern matching approach has witnessed increasing popularity. By combining deduction with induction in logic, flexible pattern matching is well suited for exploration and theory development. The paper discusses its logic, advantages and process of this approach while offering a review of research adopting this approach. We also compare and contrast it with another popular qualitative data analysis technique, the grounded theory approach, to further ground the method on the established knowledge and elaborate its strength and fitting context. This paper advances the flexible pattern matching approach by suggesting a five-step roadmap to conduct qualitative research with the approach.

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The locus of value creation and innovation in the software industry is shifting more and more to platform ecosystems on which numerous developers create extensions with additional functionalities based on the platforms core architecture. While such complementors may strongly profit from platforms, there are considerable costs. Recent studies therefore examined the costs of fitting apps to the specifications of certain platforms; however, these works largely neglect costs arising from the transactional relationship between platform and complementor. In order to shed light on this, our work examines how design choices of platform governance and app architecture impact the emergence of four types of cost-inducing hazards within the transactional context of the ecosystem. By using a configurational approach based on fuzzy-set qualitative comparative analysis (FsQCA), we display complex interactional effects of the causal conditions on complementors' perception of hazardous environments and thus provide valuable insights for both practice and theory on platform ecosystems.

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