Author ORCID Identifier
Loris Santarelli: 0009-0005-8951-9291
Federica Ceci: 0000-0002-6998-8534
Abstract
Organizations addressing grand challenges (GCs) operate in contexts that require coordinated action across multiple stakeholders. In these settings, data are essential to enable collaboration and evidence-informed decision-making, yet they often originate from heterogeneous, dispersed, and boundary-spanning sources across both physical and digital environments, increasing the complexity of data governance and integration. Drawing on observational data, interviews, and archival documents from the National Park of Abruzzo, Lazio, and Molise (PNALM), this study examines how organizations configure the Data Value Chain (DVC) to manage multi-source, distributed data, essential to support environmental and wildlife conservation strategies. We frame the DVC as an integrated, multi-dimensional system, where physical, digital, and organizational dimensions interact and co-evolve, and show how their configuration shapes data governance in complex GC settings. This study provides guidance for organizations tackling GCs by outlining how to configure and govern the DVC across its interdependent physical, digital, and organizational dimensions, enabling multi-actor coordination and value extraction from highly heterogeneous and dispersed data within complex data ecosystems.
Recommended Citation
Santarelli, L., & Ceci, F. (In press). Configuring the Data Value Chain for Grand Challenges: Actors and Dimensions of Data Governance. Communications of the Association for Information Systems, 59, pp-pp. Retrieved from https://aisel.aisnet.org/cais/vol59/iss1/6
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