Managing Platforms and Ecosystems

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Now showing 1 - 5 of 9
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    Introducing Platform Interactions Model for Studying Multi-Sided Platforms
    ( 2018-01-03) Staykova, Kalina ; Damsgaard, Jan
    Multi-Sided Platforms (MSPs) function as socio-technical entities that facilitate direct interactions between various affiliated to them constituencies through developing and managing IT architecture. In this paper, we aim to explain the nature of the platform interactions as key characteristic of any MSP. To this end, we propose the Platform Interaction Model (PIM), built upon Activity Theory and Business Action Theory. We then test its explanatory capability by applying it to four cases. Based on our analysis, we argue that MSPs enable various types of interactions, which has implications for the initial adoption, competitiveness, and subsequent expansion of particular MSP.
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    Designing Data Governance in Platform Ecosystems
    ( 2018-01-03) Lee, Sung Une ; Zhu, Liming ; Jeffery, Ross
    As platform ecosystems such as Facebook or Twitter are rapidly growing through platform users’ data contribution, the importance of data governance has been highlighted. Platform ecosystems, however, face increasing complexity derived from the business context such as multiple parties’ participation. How to share control and decision rights about data assets with platform users is regarded as a significant governance design issue. However, there is a lack of studies on this issue. Existing design models focus on the characteristics of enterprises. Therefore, there is limited support for platform ecosystems where there are different types of context and complicated relationships. To deal with the issue, this paper proposes a novel design approach for data governance in platform ecosystems including design principles, contingency factors and an architecture model. Case studies are performed to illustrate the practical implications of our suggestion.
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    Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector
    ( 2018-01-03) Schmidt, Julian ; Drews, Paul ; Schirmer, Ingrid
    The competition and the collaboration of established banks and challenging fintechs are expected to dramatically change the financial services ecosystem. The different types and roles of fintechs as new niche players in the ecosystem are not well understood so far. However, a better understanding of these types and roles is required for incumbent as well as for new actors for defining and aligning their strategies. In this paper, we analyze the business models of 195 fintech companies with a special focus on the role of data. Based on this analysis, we present a structured overview of fintechs’ business areas as well as six data-related business model types. This paper contributes to the research on data-driven business models and business ecosystems by applying and modifying an existing approach for classifying new niche players based on the data dimension of their business models.
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    University-Industry Programs as Platforms: A Case Study of Multi-Disciplinary Collaborative Network Development
    ( 2018-01-03) Hajikhani, Arash ; Russell, Martha G. ; Alexanyan, Karina ; Young, Erin ; Wilmot, Jason
    This paper shows how University-Industry (UI) liaisons can be studied in light of the emerging and insightful literature on platforms. Applying the concept of platforms to University-Industry programs, this paper describes one industry affiliate program and analyzes its synergistic impact on multidisciplinary involvement and collaboration network development. Insights and recommendations are made for catalyzing mutually beneficial collaborations through research themes as mechanisms for platform orchestration.
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