Configuration of the Data Value Chain: Reflections on the Digital and Analogue Dimensions

Loris Santarelli () and Federica Ceci ()
Additional contact information
Loris Santarelli: G. d’Annunzio University of Chieti
Federica Ceci: G. d’Annunzio University of Chieti

A chapter in Technology-Driven Transformation, 2025, pp 13-30 from Springer

Abstract: Abstract The growing demand for improving data collection, use, and exploitation has prompted organisations to explore innovative tools and methodologies for effective data management. The data value chain (DVC) is a conceptual framework that encompasses the entire data lifecycle, from its aggregation to its strategic application, thereby facilitating the value extraction processes from data resources. However, the DVC comprises a series of processes and technologies that organizations must effectively configure to convert data into valuable assets. Consequently, its implementation poses considerable challenges. Furthermore, in various contexts, the activities that constitute the DVC occur not only in digital spaces but also in physical settings. This duality introduces an additional layer of complexity as the inherent differences between physical and digital operations require distinct approaches to coordination, integration, and management. Therefore, this paper aims to investigate a specific instance of the DVC that encompasses activities occurring across both digital and physical domains. Our research focuses on the National Park of Abruzzo, Lazio, and Molise (PNALM), where a combination of digital and analog technologies plays a critical role in supporting environmental and wildlife conservation efforts. Within this context, all organizational units involved in wildlife monitoring engage in data collection, sharing, and utilization, drawing on both traditional and digital data sources. Through this case, we contribute to the literature by deepening the understanding of the challenges organizations encounter in configuring and managing the Data Value Chain in complex environments.

Keywords: Data value chain; Data ecosystems; Data management (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-01396-5_2

Ordering information: This item can be ordered from
http://www.springer.com/9783032013965

DOI: 10.1007/978-3-032-01396-5_2

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().