Achieving voluntary data sharing in cross sector partnerships: Three partnership models. Issue 1 (March 2023)

• Record Type: Journal Article
• Authors: Susha, Iryna; Rukanova, Boriana; Zuiderwijk, Anneke; Gil-Garcia, J. Ramon; Gasco Hernandez, Mila
• Is Part Of: Information and organization. Volume 33:Issue 1(2023)
• Publication Date: 2023-03
• Subjects: Data sharing -- Information sharing -- Cross-sector social partnership -- Interorganizational collaboration -- Partnership; Information resources management -- Periodicals; Organizational change -- Periodicals; Information technology -- Social aspects -- Periodicals; Accounting -- Data processing -- Periodicals; Management information systems -- Periodicals; Comptabilité -- Informatique -- Périodiques; Systèmes d'information de gestion -- Périodiques; Electronic journals; 658.4
• DOI: 10.1016/j.infoandorg.2023.100448
• Languages: English
• ISSNs: 1471-7727

Abstract

Abstract: The complex societal problems that we face today require unprecedented collaboration and evidence-based decisions. These collaboration processes are further propelled by the datafication of virtually all spheres of public life. To benefit from this, the data needs to be made available to allow for data analytics. Thus, data sharing becomes a crucial aspect of cross-sector collaborations that aim to create and capture value from information. Compared to collaborations where data sharing is not the main goal, data sharing partnerships face a number of novel challenges, such as mitigating data risks, complying with data protection legislation, and ensuring responsible data use. Navigating these waters and achieving data sharing can be challenging for both governments and businesses, as well as other actors. How do organizations from different sectors manage to achieve data sharing for addressing societal challenges? To address this research question, we apply a framework of three models of cross sector social partnerships developed in the field of organization studies to structure the analysis of six cases. Our analysis suggests that to a certain extent the partnership model determines the types of drivers and challenges to sharing data in a partnership. Leveraging the drivers and anticipating these challenges can help organizations be more aware of key terms of the collaboration and the mechanisms that can be used to succeed in their partnership goals. Highlights: Addressing societal problems require sectors to collaborate and share data. We study the drivers and challenges of to achieve data sharing between sectors. Based on case analysis, we illustrate three models of data sharing partnerships. Drivers and challenges of data sharing are coupled to these partnership models.