Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Managing big data benefits organizations via efficient and effective data‐driven decision making, productivity gains, customization potential, or innovation opportunities. Data‐driven innovation opportunities are particularly valuable in open value creation (OVC), that is, the collaboration of independent stakeholders who open their boundaries to share data and knowledge to jointly create value they could not have achieved in isolation. At the same time, however, incumbents often struggle with the implementation of data sharing in the broader stakeholder ecosystem. In this exploratory study, based on an abductive qualitative study with 27 expert interviews and three industry roundtables with 19 experts, we explore how the concept of organizational data sovereignty could serve as an organizational competency to address the data challenges for OVC. Using the strategy‐as‐practice framework, we define organizational data sovereignty as the self‐determined and intentional exercise of control over an organization's data assets and show which data sovereignty practices, in line with practitioner and praxis conditions, support inter‐organizational sharing and management of big data in OVC. Specifically, we identify key practices for implementing data sovereignty, such as constituting the special value of data and establishing a consistent value assessment for data. When designed and applied in the right organizational framework that allows for openness, agility, and interdisciplinarity, they enable industrial enterprises to realize the potential of OVC.
Managing big data benefits organizations via efficient and effective data‐driven decision making, productivity gains, customization potential, or innovation opportunities. Data‐driven innovation opportunities are particularly valuable in open value creation (OVC), that is, the collaboration of independent stakeholders who open their boundaries to share data and knowledge to jointly create value they could not have achieved in isolation. At the same time, however, incumbents often struggle with the implementation of data sharing in the broader stakeholder ecosystem. In this exploratory study, based on an abductive qualitative study with 27 expert interviews and three industry roundtables with 19 experts, we explore how the concept of organizational data sovereignty could serve as an organizational competency to address the data challenges for OVC. Using the strategy‐as‐practice framework, we define organizational data sovereignty as the self‐determined and intentional exercise of control over an organization's data assets and show which data sovereignty practices, in line with practitioner and praxis conditions, support inter‐organizational sharing and management of big data in OVC. Specifically, we identify key practices for implementing data sovereignty, such as constituting the special value of data and establishing a consistent value assessment for data. When designed and applied in the right organizational framework that allows for openness, agility, and interdisciplinarity, they enable industrial enterprises to realize the potential of OVC.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.