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Designing a Multi‐Sided Platform business model assessment framework: a Dynamic Performance Management perspective
Author(s) -
Bivona Enzo,
Cosenz Federico
Publication year - 2019
Publication title -
systems research and behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 1092-7026
DOI - 10.1002/sres.2665
Subject(s) - dynamic capabilities , perspective (graphical) , value capture , process management , computer science , business model , value creation , knowledge management , value (mathematics) , strategic management , originality , business value , business , marketing , economics , sociology , social science , artificial intelligence , machine learning , economic growth , human capital , qualitative research
Abstract The purpose of this research is to offer an assessment framework to validate multisided platform business models. For this aim, we propose a systemic perspective based on the dynamic performance management approach. This approach is particularly effective to make explicit the net of relationships between internal and external strategic resources, the value creation and capture drivers, and the way such drivers influence platform performances. The developed multisided platform business model assessment framework has been tested by using a success and a failure case, respectively, Airbnb and Take Eat Easy. Research originality results from the combination of multisided platform value creation/capture drivers and innovative approach like the dynamic performance management to assess platforms business models. Findings show that neglecting the role played by value creation and capture drivers and those cause‐and‐effect mechanisms aimed at leveraging critical internal and external strategic resources can lead to platform failure.