Automation in the future of public sector employment: the case of Brazilian Federal Government

Adamczyk, Willian Boschetti; Monastério, Leonardo Monteiro; Fochezatto, Adelar

doi:10.1016/j.techsoc.2021.101722

Cited by 15 publications

(10 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All these things considered, the study reinforces, in line with extant literature (Adamczyk et al , 2021; Arntz et al , 2016) how low educated workers across the PA likely will bear the impact of adjustment costs to technological change, in terms of requirements for further training and occupational retraining. For this group of workers, regaining the competitive advantage over new digital technologies by means of upskilling and training may be difficult to achieve, especially as the speed of the current 4.0 technological revolution appears to exceed the pace of its predecessors.…”

Section: Discussion and Policy Implicationssupporting

confidence: 81%

Automation in public sector jobs and services: a framework to analyze public digital transformation’s impact in a data-constrained environment

Bonomi Savignon,

Zecchinelli,

Costumato

et al. 2023

View full text Add to dashboard Cite

Purpose This study aims to estimate the value of the impact from digital transformation (DX) focusing on its automation effect, looking at the time and cost savings coming from the substitution effect with an adoption of digital technologies. For example, cloud and artificial intelligence technologies such as ChatGPT have the potential to change ways of working, substituting and replacing several of the tasks that are currently carried out by public administration (PA) employees and labor processes underpinning PA services. Design/methodology/approach The paper outlines a new framework to estimate the potential impact of DX on the public sector. The authors apply this framework to estimate the value of the impact of DX on the Italian PA, defining the latter by the collection of the value of its labor (i.e. PA workforce salaries) and by the collection of the value of its outputs (i.e. public services’ costs). Findings This study ultimately maps out the magnitude and trends of how likely the PA occupations and services could be substituted in a wider process of DX. To do this, the authors apply their framework to the Italian PA, and they triangulate secondary data collection, from official accounts of the Italian Ministry of Economics and the National Statistical Institute, with methodological antecedents from the UK Office for National Statistics and experts’ insights. Results provide a snapshot on the type and magnitude of PA jobs and services projected to be affected by automation over the next 10 years. Originality/value To the best of the authors’ knowledge, this paper provides for the first time an approach to estimate the value of the impact of DX on the public sector in a data-constrained environment – or in the lack of the required primary data. Once applied to the Italian PA, this approach provides a granular map of the automatability of each of the PA occupations and of the PA services. Finally, this paper mentions preliminary insights on potential challenges related to equity in public sector jobs and implications on recruitment processes.

show abstract

Section: Discussion and Policy Implicationssupporting

confidence: 81%

Automation in public sector jobs and services: a framework to analyze public digital transformation’s impact in a data-constrained environment

Bonomi Savignon,

Zecchinelli,

Costumato

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Then, we assign the mean probability of job automation to the corresponding three-digit SOC 2000. To make our results directly comparable to other work (e.g., Adamczyk, Monasterio & Fochezatto (2021), Albuquerque et al (2019)), we create a binary variable that equals 1 when the probability of automation is in the top quartile (i.e., larger than the 75 th percentile of all jobs) and zero otherwise. However, our results do not change if the threshold is varied, or if we use the probability of automation as a continuous variable.…”

Section: Methodsmentioning

confidence: 99%

Automation risk and subjective wellbeing in the UK

Zheng,

Rohenkohl,

Barahona

et al. 2024

Preprint

View full text Add to dashboard Cite

The personal well-being of workers may be influenced by the risk of job automation brought about by technological innovation. Here we use data from the Understanding Society survey in the UK and a fixed-effects model to examine associations between working in a highly automatable job and life and job satisfaction. We find that employees in highly automatable jobs report significantly lower job satisfaction, a result that holds across demographic groups categorised by gender, age and education, with higher negative association among men, higher degree holders and younger workers. On the other hand, life satisfaction of workers is not generally associated with the risk of job automation, a result that persists among groups disaggregated by gender and education, but with age differences, since the life satisfaction of workers aged 30 to 49 is negatively associated with job automation risk. Our analysis also reveals differences in these associations across UK industries and regions.

show abstract

“…This study identifies the best practices for increasing the productivity of state apparatus in the era of automation-based public services (Adamczyk et al, 2021). The author believes that by identifying best practices, innovation in developing human resources for the state apparatus will achieve high productivity in an era of all technology.…”

Section: Methodsmentioning

confidence: 99%

Identification of hr Improvement Innovation Best Practices for Improving the Productivity of State Apparatus in the Automatization Era

Nainggolan¹,

Fatmawati²,

Mursalin³

et al. 2023

J. Professional Business Review

View full text Add to dashboard Cite

Purpose: This paper identifies best practices for developing the productivity of the state apparatus in serving the public. Theoretical framework: Studies regarding identifying state apparatus best practices in work innovation must be continuously communicated to relevant parties. Design/methodology/approach: Literature Review Research, we have reviewed several pieces of scientific evidence by electronically searching books and journal articles that actively discuss the issue of developing innovative state apparatus in providing public services in the technological era. We then examined the collected data under a phenomenological approach, which involves coding, evaluating, interpreting, and drawing conclusions that answer the research problem. Findings: We can conclude that efforts to identify best practices for developing the human resources of the state apparatus are part of efforts to improve the quality of the work of the state apparatus, which are supported by several competencies in the form of skills and work knowledge needed. Research, Practical & Social implications: The state apparatus can advance public services and expedite them. For the state apparatus to be successful, they need to be supported by innovative, creative, and transformative skills and work enthusiasm toward the productivity of public services in the 4.0 revolution era. Originality/value: The importance of innovation in developing public service productivity by state apparatus in technology. The state civil apparatus need to provide public services to manage self-development so that they can work to achieve excellent service to the community.

show abstract

Automation in the future of public sector employment: the case of Brazilian Federal Government

Cited by 15 publications

References 29 publications

Automation in public sector jobs and services: a framework to analyze public digital transformation’s impact in a data-constrained environment

Automation in public sector jobs and services: a framework to analyze public digital transformation’s impact in a data-constrained environment

Automation risk and subjective wellbeing in the UK

Identification of hr Improvement Innovation Best Practices for Improving the Productivity of State Apparatus in the Automatization Era

Contact Info

Product

Resources

About