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Barriers to the digital transformation of infrastructure sectors

Digital technologies can be important to policy-makers and public servants, as these technologies can increase infrastructure performance and reduce environmental impacts. For example, utilizing data from sensors in sewer systems can improve their management, which in turn may result in better surfa...

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Detalles Bibliográficos
Autores principales: Manny, Liliane, Duygan, Mert, Fischer, Manuel, Rieckermann, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565852/
https://www.ncbi.nlm.nih.gov/pubmed/34751195
http://dx.doi.org/10.1007/s11077-021-09438-y
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author Manny, Liliane
Duygan, Mert
Fischer, Manuel
Rieckermann, Jörg
author_facet Manny, Liliane
Duygan, Mert
Fischer, Manuel
Rieckermann, Jörg
author_sort Manny, Liliane
collection PubMed
description Digital technologies can be important to policy-makers and public servants, as these technologies can increase infrastructure performance and reduce environmental impacts. For example, utilizing data from sensors in sewer systems can improve their management, which in turn may result in better surface water quality. Whether such big data from sensors is utilized is, however, not only a technical issue, but also depends on different types of social and institutional conditions. Our article identifies individual, organizational, and institutional barriers at the level of sub-states that hinder the evaluation of data from sewer systems. We employ fuzzy-set Qualitative Comparative Analysis (fsQCA) to compare 23 Swiss sub-states and find that two barriers at different levels can each hinder data evaluation on their own. More specifically, either a lack of vision at the individual level or a lack of resources at the organizational level hinder the evaluation of data. Findings suggest that taking into account different levels is crucial for understanding digital transformation in public organizations.
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spelling pubmed-85658522021-11-04 Barriers to the digital transformation of infrastructure sectors Manny, Liliane Duygan, Mert Fischer, Manuel Rieckermann, Jörg Policy Sci Research Article Digital technologies can be important to policy-makers and public servants, as these technologies can increase infrastructure performance and reduce environmental impacts. For example, utilizing data from sensors in sewer systems can improve their management, which in turn may result in better surface water quality. Whether such big data from sensors is utilized is, however, not only a technical issue, but also depends on different types of social and institutional conditions. Our article identifies individual, organizational, and institutional barriers at the level of sub-states that hinder the evaluation of data from sewer systems. We employ fuzzy-set Qualitative Comparative Analysis (fsQCA) to compare 23 Swiss sub-states and find that two barriers at different levels can each hinder data evaluation on their own. More specifically, either a lack of vision at the individual level or a lack of resources at the organizational level hinder the evaluation of data. Findings suggest that taking into account different levels is crucial for understanding digital transformation in public organizations. Springer US 2021-11-03 2021 /pmc/articles/PMC8565852/ /pubmed/34751195 http://dx.doi.org/10.1007/s11077-021-09438-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Manny, Liliane
Duygan, Mert
Fischer, Manuel
Rieckermann, Jörg
Barriers to the digital transformation of infrastructure sectors
title Barriers to the digital transformation of infrastructure sectors
title_full Barriers to the digital transformation of infrastructure sectors
title_fullStr Barriers to the digital transformation of infrastructure sectors
title_full_unstemmed Barriers to the digital transformation of infrastructure sectors
title_short Barriers to the digital transformation of infrastructure sectors
title_sort barriers to the digital transformation of infrastructure sectors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565852/
https://www.ncbi.nlm.nih.gov/pubmed/34751195
http://dx.doi.org/10.1007/s11077-021-09438-y
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