Technological frames in public administration: What do public managers think of big data?

Item Type Journal paper
Abstract

Being among the largest creators and gatherers of data in many countries, public administrations are looking for ways to harness big data technology. However, the de facto uses of big data in the public sector remain very limited. Despite numerous studies aiming to clarify the term big data, for many public managers, it remains unclear what this technology does and does not offer public administration. Using the concept of technological frames, we explore the assumptions, expectations, and understandings that public managers possess in order to interpret and make sense of big data. We identify nine big data frames, ranging from inward-oriented techno-enthusiasts to outward-oriented techno-skeptics, each of which characterizes public managers' specific viewpoints relating to the introduction of big data in public administrations. Our findings highlight inconsistencies between different perceptions and reveal widespread skepticism among public managers, helping better understand why the de facto uses of big data in the public sector remain very limited.

Authors Guenduez, Ali A.; Mettler, Tobias & Schedler, Kuno
Journal or Publication Title Government Information Quarterly
Language English
Subjects information management
social sciences
other research area
HSG Classification contribution to scientific community
HSG Profile Area None
Refereed Yes
Date January 2020
Publisher Elsevier Science
Volume 37
Number 1
Page Range 1-12
Number of Pages 12
ISSN 0740-624X
Publisher DOI 10.1016/j.giq.2019.101406
Official URL https://doi.org/10.1016/j.giq.2019.101406
Depositing User Prof. Dr. Ali A. Guenduez
Date Deposited 11 Jan 2020 08:31
Last Modified 11 Jan 2020 08:31
URI: https://www.alexandria.unisg.ch/publications/258968

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Citation

Guenduez, Ali A.; Mettler, Tobias & Schedler, Kuno (2020) Technological frames in public administration: What do public managers think of big data? Government Information Quarterly, 37 (1). 1-12. ISSN 0740-624X

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https://www.alexandria.unisg.ch/id/eprint/258968
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