Risk factors for digital stress in German public administrations
Abstract Objective As the digitization of the working world progresses, the demands on employees change. Not least, this is true for the setting of public administrations in Germany, which is currently affected by the transformation to E-Government. This study aims to identify and describe a risk cl...
Guardado en:
Autores principales: | , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
BMC
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/c27c758100074b309540f45b5cce77fe |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:c27c758100074b309540f45b5cce77fe |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:c27c758100074b309540f45b5cce77fe2021-12-05T12:09:21ZRisk factors for digital stress in German public administrations10.1186/s12889-021-12247-w1471-2458https://doaj.org/article/c27c758100074b309540f45b5cce77fe2021-12-01T00:00:00Zhttps://doi.org/10.1186/s12889-021-12247-whttps://doaj.org/toc/1471-2458Abstract Objective As the digitization of the working world progresses, the demands on employees change. Not least, this is true for the setting of public administrations in Germany, which is currently affected by the transformation to E-Government. This study aims to identify and describe a risk cluster of digitally stressed employees in public administrations. Methods An online sample of 710 employees from three public administrations in North Rhine-Westphalia were surveyed about digital stress (7 items) and several potential risk factors (19 items) derived from the current research. In the first step, a hierarchical agglomerative cluster analysis is used to detect the risk cluster. This is followed by a comparison to the group of the remaining employees regarding their risk profiles. Results The analysis states that the digitally stressed cluster accounts for approximately ten percent of the public administration’s employees of the total sample. Employees in the risk cluster are less satisfied with on-site work overall, experience less collegial support on-site, experience less collegial support in the home office, resign more often, are more likely to feel overwhelmed, are less educated, are older in age and more often have relatives in need of care. Conclusion This work was able to identify and describe a group of digitally stressed rather than left-behind employees in public administrations to bring awareness to potentially destructive factors in the digital transformation process but eventually to social inequalities. The findings offer the basis for interventions to arise and evoke potential for further research.Sammy Joelle Shirley WredeDominique Rodil dos AnjosJan Patrick KettschauHorst Christoph BrodingKevin ClaassenBMCarticleDigital stressDigitizationPublic administrationRisk factorsCluster analysisPublic aspects of medicineRA1-1270ENBMC Public Health, Vol 21, Iss 1, Pp 1-11 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Digital stress Digitization Public administration Risk factors Cluster analysis Public aspects of medicine RA1-1270 |
spellingShingle |
Digital stress Digitization Public administration Risk factors Cluster analysis Public aspects of medicine RA1-1270 Sammy Joelle Shirley Wrede Dominique Rodil dos Anjos Jan Patrick Kettschau Horst Christoph Broding Kevin Claassen Risk factors for digital stress in German public administrations |
description |
Abstract Objective As the digitization of the working world progresses, the demands on employees change. Not least, this is true for the setting of public administrations in Germany, which is currently affected by the transformation to E-Government. This study aims to identify and describe a risk cluster of digitally stressed employees in public administrations. Methods An online sample of 710 employees from three public administrations in North Rhine-Westphalia were surveyed about digital stress (7 items) and several potential risk factors (19 items) derived from the current research. In the first step, a hierarchical agglomerative cluster analysis is used to detect the risk cluster. This is followed by a comparison to the group of the remaining employees regarding their risk profiles. Results The analysis states that the digitally stressed cluster accounts for approximately ten percent of the public administration’s employees of the total sample. Employees in the risk cluster are less satisfied with on-site work overall, experience less collegial support on-site, experience less collegial support in the home office, resign more often, are more likely to feel overwhelmed, are less educated, are older in age and more often have relatives in need of care. Conclusion This work was able to identify and describe a group of digitally stressed rather than left-behind employees in public administrations to bring awareness to potentially destructive factors in the digital transformation process but eventually to social inequalities. The findings offer the basis for interventions to arise and evoke potential for further research. |
format |
article |
author |
Sammy Joelle Shirley Wrede Dominique Rodil dos Anjos Jan Patrick Kettschau Horst Christoph Broding Kevin Claassen |
author_facet |
Sammy Joelle Shirley Wrede Dominique Rodil dos Anjos Jan Patrick Kettschau Horst Christoph Broding Kevin Claassen |
author_sort |
Sammy Joelle Shirley Wrede |
title |
Risk factors for digital stress in German public administrations |
title_short |
Risk factors for digital stress in German public administrations |
title_full |
Risk factors for digital stress in German public administrations |
title_fullStr |
Risk factors for digital stress in German public administrations |
title_full_unstemmed |
Risk factors for digital stress in German public administrations |
title_sort |
risk factors for digital stress in german public administrations |
publisher |
BMC |
publishDate |
2021 |
url |
https://doaj.org/article/c27c758100074b309540f45b5cce77fe |
work_keys_str_mv |
AT sammyjoelleshirleywrede riskfactorsfordigitalstressingermanpublicadministrations AT dominiquerodildosanjos riskfactorsfordigitalstressingermanpublicadministrations AT janpatrickkettschau riskfactorsfordigitalstressingermanpublicadministrations AT horstchristophbroding riskfactorsfordigitalstressingermanpublicadministrations AT kevinclaassen riskfactorsfordigitalstressingermanpublicadministrations |
_version_ |
1718372217561022464 |