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Redesigning Business Models for Data-Driven Innovation: A Three-Layered Framework

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Abstract

The paper investigates how big data analysis and analytics can reshape business model design to encourage the co-development of innovation through the application of a data-driven orientation. The main objectives of the study are: (1) to detect the enabling dimensions of business models for the co-development of innovation; (2) to investigate how the enabling dimensions can be oriented strategically toward the emergence of data-driven innovation. The empirical research is based on a case study performed through qualitative content analysis to explore an Italian agrifood company, Amadori. The results obtained allow the introduction of a three-layered framework that can encourage future studies to: (1) investigate business models enablers for value co-creation and the way in which their combination can produce innovation; (2) detect the different data-oriented and management strategies that redefine business models to develop innovation systematically.

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Correspondence to Mara Grimaldi .

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Troisi, O., Grimaldi, M., Loia, F. (2021). Redesigning Business Models for Data-Driven Innovation: A Three-Layered Framework. In: Visvizi, A., Lytras, M.D., Aljohani, N.R. (eds) Research and Innovation Forum 2020. RIIFORUM 2020. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-62066-0_32

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  • DOI: https://doi.org/10.1007/978-3-030-62066-0_32

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