Public Sector Performance and Public Sector Efficiency: An Analysis for CEE Countries

Mitu, Narcis Eduard; Stanciu, Cristian

doi:10.1080/00128775.2023.2223581

Cited by 2 publications

(3 citation statements)

References 42 publications

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“…Assessing this level is highly intricate due to multiple challenges, such as the trainees’ awareness of the evaluation process, the time lapse between finishing the training and assessing performance, and external influences on the training’s effectiveness [ 25 ]. The assessment approach in the public sector must be customized to align with the unique service delivery environment, stakeholders’ requirements, and outcomes, which are distinct from those in the commercial sector [ 19 ]. Unlike business contexts that prioritize financial gains, the impact of training in the public sector cannot be quantified in monetary terms [ 2 ].…”

Section: Resultsmentioning

confidence: 99%

“…While extensively applied in the training and development sector, its use in the APA domain is limited. Despite calls from researchers, its applicability in evaluating APA training is an area that has yet to be extensively explored [ 8 , 19 , 26 ]. Moreover, the Kirkpatrick model’s simplicity, practicality, and ease of comprehension make it a readily accessible [ 33 ] and structurally sound approach for post-training evaluation.…”

Section: Background and Hypothesis Developmentmentioning

confidence: 99%

“…While numerous studies [ 17 – 19 ] have been executed to examine the extent to which developing nations have adopted the APA principles, there has been a lack of focus on exploring the evaluation of post-training APA performance when applying a performance-based framework. This study aims to address this research gap by conducting a configurational and artificial neural network (ANN) analysis of the effectiveness of post-training APA training in a particular developing nation, namely Bangladesh.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing post-training evaluation of annual performance agreement training: A fusion of fsQCA and artificial neural network approach

Islam,

Abdul Kader Jilani,

Karim

2024

PLoS ONE

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This study aims to enhance the post-training evaluation of the annual performance agreement (APA) training organized by the Bangladesh Public Administration Training Centre (BPATC), the apex training institute for civil servants. Utilizing fuzzy-set qualitative comparative analysis (fsQCA) and artificial neural network (ANN) techniques within Kirkpatrick’s four-stage model framework, data were collected from a self-administered questionnaire survey of 71 in-service civil servants who participated in the APA training program. This study employs an asymmetric, non-linear model analyzed through a configurational approach and ANN to explore interrelationships among the four Kirkpatrick levels namely, reaction, learning, behavior, and results. Findings indicate that trainees were satisfied across all levels, identifying a non-linear relationship among these levels in post-training evaluation process. The research highlights that "learning skills" are most significant in the APA post-training evaluation, followed by behavior, results, and reaction. Theoretically, this research advances Kirkpatrick’s model and adds to the literature on public service post-training evaluation. Practically, it recommends prioritizing strategies that address cognitive barriers to enhance training effectiveness. This study’s innovative approach lies in its concurrent use of fsQCA and ANN methods to analyze the success or failure of APA-related trainees, offering alternative pathways to desired outcomes and contrasting traditional quantitative methods that provide a single solution. The findings have practical implications for public service training institutions and bureaucratic policymakers involved in capacity development, guiding the creation of more effective in-service training courses for public officials. The methodology and analysis can be applied in other contexts, allowing bureaucratic policymakers to replicate these findings in their learning institutes to identify unique configurations that lead to successful or unsuccessful training outcomes, adopt effective strategies, and avoid detrimental ones.

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Section: Resultsmentioning

confidence: 99%

Section: Background and Hypothesis Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Enhancing post-training evaluation of annual performance agreement training: A fusion of fsQCA and artificial neural network approach

Islam,

Abdul Kader Jilani,

Karim

2024

PLoS ONE

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Public sector’s efficiency as a reflection of governance quality, an European Union study

Negri,

Dincă

2023

PLoS ONE

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The main objective of this paper is to assess the efficiency of the European Union’s public sector from a quality of governance approach, employing a two-step methodology. In the first stage, EU states’ efficiency scores are determined using Data Envelopment Analysis. Once quantifying public efficiency, the second step of the methodology examines the determinants of efficiency using a quantile regression estimation technique, with an emphasis on demographic features, corruption, economic freedom, and governmental digitalization. The novelty is provided by the assessment of the public sector’s efficiency and efficacy from a broader approach in order to determine the efficiency scores of European Union countries, as well as the key factors that may impact the public sector’s performance. The main findings, namely that governance quality can be considered an important resource in analysing public performance and that human resources, freedom, democracy, corruption, and digitalization have an impact on efficiency, are important considerations not only for policymakers but also for society, researchers, and the academic community. Reform measures should strive to improve both the technical and democratic components of public institutions in order to more effectively and transparently allocate public resources, while taking into consideration local and national peculiarities.

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Public Sector Performance and Public Sector Efficiency: An Analysis for CEE Countries

Cited by 2 publications

References 42 publications

Enhancing post-training evaluation of annual performance agreement training: A fusion of fsQCA and artificial neural network approach

Enhancing post-training evaluation of annual performance agreement training: A fusion of fsQCA and artificial neural network approach

Public sector’s efficiency as a reflection of governance quality, an European Union study

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