EconPapers    
Economics at your fingertips  
 

Unlocking the Value of Public Sector Personal Information Through Coproduction

Walter Castelnovo ()
Additional contact information
Walter Castelnovo: University of Insubria

A chapter in Exploring Digital Ecosystems, 2020, pp 379-391 from Springer

Abstract: Abstract In their day-to-day operations, public sector organizations collect and use huge amounts of information that if made available for re-use would contribute to economic growth. Much of this information directly or indirectly can lead to the identification of ‘natural persons’ and, as such, the personal data protection regulation applies to it. According to the General Data Protection Regulation (GDPR) issued by the EU in 2016, unless it is regulated by a specific legislation, personal information can be processed only based on the data subject’s explicit consent. This raises the question of what strategies public organizations could implement to make the data subjects willing to allow the (possible) re-use of their personal information. By elaborating on evidences from the economics and the psychology of privacy literature, the paper suggests that public sector organizations can implement a coproduction strategy to unlock the value of public sector personal information in a user-centric personal information ecosystem. More specifically, the paper argues that the data subjects can be made more willing to consent to the processing (and possibly to the re-use) of personal information by involving them as coproducers in the processes through which public sector organizations can support economic growth in the digital society.

Keywords: Coproduction; Public sector information; Privacy; Personal information (search for similar items in EconPapers)
Date: 2020
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:978-3-030-23665-6_27

Ordering information: This item can be ordered from
http://www.springer.com/9783030236656

DOI: 10.1007/978-3-030-23665-6_27

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 ().

 
Page updated 2025-06-15
Handle: RePEc:spr:lnichp:978-3-030-23665-6_27