Leveraging Unstructured Data Sharing in Open Innovation: A Business Model for Large Research‐Intensive Firms

Article

Kazantsev, N., Zwiegelaar, J., Islam, N., Maull, R., Brown, A. and Vorley, T. 2025. Leveraging Unstructured Data Sharing in Open Innovation: A Business Model for Large Research‐Intensive Firms. R&D Management. p. In press. https://doi.org/10.1111/radm.12777
AuthorsKazantsev, N., Zwiegelaar, J., Islam, N., Maull, R., Brown, A. and Vorley, T.
Abstract

In the current environment of high volumes of data, large established firms are looking for new ways of gaining a competitive advantage through Open Innovation (OI). Sharing unstructured data represents such an opportunity. However, the literature is scarce in understanding how to attract this data and realize more value within the OI funnel. We thus investigated a business model illustrating how large research-intensive firms can use it to support data sharing for OI. We interviewed 25 professionals in an OI project between a global pharma organization focused on the animal health market, a UK-based university, and data science firms. Firstly, we provide evidence of the role of data sharing in OI for extracting value. Secondly, we theorize a business model that supports data sharing for inbound and outbound OI using three stages of value realization. We welcome further research to confirm or extend our findings in other industrial settings.

JournalR&D Management
Journal citationp. In press
ISSN0033-6807
1467-9310
Year2025
PublisherWiley
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File Access Level
Anyone
Digital Object Identifier (DOI)https://doi.org/10.1111/radm.12777
Publication dates
Online15 Jun 2025
Publication process dates
Deposited10 Jul 2025
Copyright holder© 2025 The Authors
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