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 |
Files in This Item:
File | Description | Size | Format | |
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2022_Mertes_Meierhofer_Co-creating-service-value-from-data-in-public-admin-contex.pdf | 2.71 MB | Adobe PDF | ![]() View/Open |
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Baldenweg-Bölle, U., Meierhofer, J., & Mertes, A. (2022). Co-creating service value from data in a public administration context. Swiss Yearbook of Administrative Sciences, 13(1), 35–50. https://doi.org/10.5334/ssas.163
Baldenweg-Bölle, U., Meierhofer, J. and Mertes, A. (2022) ‘Co-creating service value from data in a public administration context’, Swiss Yearbook of Administrative Sciences, 13(1), pp. 35–50. Available at: https://doi.org/10.5334/ssas.163.
U. Baldenweg-Bölle, J. Meierhofer, and A. Mertes, “Co-creating service value from data in a public administration context,” Swiss Yearbook of Administrative Sciences, vol. 13, no. 1, pp. 35–50, 2022, doi: 10.5334/ssas.163.
BALDENWEG-BÖLLE, Ulrike, Jürg MEIERHOFER und Alexander MERTES, 2022. Co-creating service value from data in a public administration context. Swiss Yearbook of Administrative Sciences. 2022. Bd. 13, Nr. 1, S. 35–50. DOI 10.5334/ssas.163
Baldenweg-Bölle, Ulrike, Jürg Meierhofer, and Alexander Mertes. 2022. “Co-Creating Service Value from Data in a Public Administration Context.” Swiss Yearbook of Administrative Sciences 13 (1): 35–50. https://doi.org/10.5334/ssas.163.
Baldenweg-Bölle, Ulrike, et al. “Co-Creating Service Value from Data in a Public Administration Context.” Swiss Yearbook of Administrative Sciences, vol. 13, no. 1, 2022, pp. 35–50, https://doi.org/10.5334/ssas.163.
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