Abstract
In the context of digital platforms, platform owners strive to maximize both their platform’s stability and generativity. This is complicated by the paradoxical relationship of generativity and stability, as well as associated tensions. To aid B2B platform owners in their design decisions, we aim to derive specific design principles that address the inherent tensions such that generativity and stability are maximized simultaneously. This requires a better understanding of when and to which extent a platform’s generativity and stability are paradoxical, and under which circumstances they can be maximized simultaneously. Thus, we first develop an agent-based simulation model to analyze the effects of an exemplary design decision regarding a tension (i.e. control vs. openness) on a platform’s generativity and stability. The developed simulation model enables predictive analyses of varying degrees of control and openness and their effect on generativity and stability. The simulation model must be further refined and applied to other tensions to thoroughly understand the impact of design decisions on a platform’s generativity and stability, and ultimately derive design principles.
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Schmid, M., Haki, K., Aier, S., Winter, R. (2020). Developing Design Principles for Digital Platforms: An Agent-Based Modeling Approach. In: Hofmann, S., Müller, O., Rossi, M. (eds) Designing for Digital Transformation. Co-Creating Services with Citizens and Industry. DESRIST 2020. Lecture Notes in Computer Science(), vol 12388. Springer, Cham. https://doi.org/10.1007/978-3-030-64823-7_18
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DOI: https://doi.org/10.1007/978-3-030-64823-7_18
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