Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25131
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Co-creating service value from data in a public administration context
Authors: Baldenweg-Bölle, Ulrike
Meierhofer, Jürg
Mertes, Alexander
et. al: No
DOI: 10.5334/ssas.163
10.21256/zhaw-25131
Published in: Swiss Yearbook of Administrative Sciences
Volume(Issue): 13
Issue: 1
Page(s): 35
Pages to: 50
Issue Date: 2022
Publisher / Ed. Institution: Ubiquity Press
ISSN: 2296-8717
Language: English
Subjects: Service design; Service-dominant logic; Public administration; eGovernment,; Digital transformation; Official statistics
Subject (DDC): 005: Computer programming, programs and data
350: Public administration
Abstract: Data are of increasing importance in the digital transformation of the public sector, but their potential has not yet been fully exploited. Service-dominant logic (S-D logic) is a principle according to which data creates value only when it is utilized, leading, for example, to better-informed decisions and planning results. Public administration practitioners can make use of this by consistently tailoring data-based services to the needs of users. As a result, services are developed jointly with potential users in a co-creation process. Providers and users test and improve the services together in a collaborative, iterative process. Such an approach offers considerable potential in the public administration sector. In this article, the S-D logic perspective and its operationalization by service design methods are applied to the public sector. It is examined how, in the context of public administration, S-D logic can be used to design data-based value propositions. An application case is presented in which a value proposition for the statistical office of a Swiss canton is designed. The results show that service design methods can be helpful in the context of public administration and that they also lend themselves to shaping innovation.
URI: https://digitalcollection.zhaw.ch/handle/11475/25131
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: School of Engineering
School of Management and Law
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Institute of Public Management (IVM)
Appears in collections:Publikationen School of Engineering
Publikationen School of Management and Law

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