Government Analytics Using Data on the Quality of Administrative Processes

Jane Adjabeng; Eugenia Adomako-Gyasi; Moses Akrofi; Maxwell Ampofo; Margherita Fornasari; Ignatius Geegbae; Allan Kasapa; Jennifer Ljungqvist; Wilson  Metronao Amevor; Felix Nyarko Ampong; Josiah Okyere Gyimah; Daniel Rogger; Nicholas Sampah; Martin Williams

doi:10.1596/978-1-4648-1957-5

Government Analytics Using Data on the Quality of Administrative Processes

Jane Adjabeng
, Eugenia Adomako-Gyasi
, Moses Akrofi
, Maxwell Ampofo
, Margherita Fornasari
, Ignatius Geegbae
, Allan Kasapa
, Jennifer Ljungqvist
, Wilson Metronao Amevor
, Felix Nyarko Ampong
, Josiah Okyere Gyimah
, Daniel Rogger
, Nicholas Sampah
, Martin Williams

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter seeks to highlight the value of quantifiable measures of the quality of back-office processes when assessing governments’ bureaucratic effectiveness. Conceptually, it defines a framework for understanding administrative process productivity. It then presents case studies from the Ghanaian and Liberian civil services, where different measures of internal (within bureaucratic units) versus external (across bureaucratic units) process quality were piloted. Specifically, these pilots sought to assess the feasibility, cost, and scalability of the process measures considered. We explore their correlations with other measures of productivity (for example, financial expenditures and the completion of planned tasks) and the claims and characteristics of civil servants in the surveys we have undertaken

Original language	English
Title of host publication	The Government Analytics Handbook
Subtitle of host publication	Leveraging Data to Strengthen Public Administration
Editors	Daniel Rogger, Christian Schuster
Place of Publication	Washington D.C
Publisher	World Bank Publications
Chapter	13
Pages	285-306
ISBN (Electronic)	978-1-4648-1981-0
ISBN (Print)	978-1-4648-1957-5
DOIs	https://doi.org/10.1596/978-1-4648-1957-5
Publication status	Published - 28 Sept 2023
Externally published	Yes

Access to Document

10.1596/978-1-4648-1957-5Licence: CC BY

Cite this

Adjabeng, J., Adomako-Gyasi, E., Akrofi, M., Ampofo, M., Fornasari, M., Geegbae, I., Kasapa, A., Ljungqvist, J., Metronao Amevor, W., Nyarko Ampong, F., Gyimah, J. O., Rogger, D., Sampah, N., & Williams, M. (2023). Government Analytics Using Data on the Quality of Administrative Processes. In D. Rogger, & C. Schuster (Eds.), The Government Analytics Handbook: Leveraging Data to Strengthen Public Administration (pp. 285-306). World Bank Publications. https://doi.org/10.1596/978-1-4648-1957-5

@inbook{801a6afd02234b79898515d32bb75c4a,

title = "Government Analytics Using Data on the Quality of Administrative Processes",

abstract = "This chapter seeks to highlight the value of quantifiable measures of the quality of back-office processes when assessing governments{\textquoteright} bureaucratic effectiveness. Conceptually, it defines a framework for understanding administrative process productivity. It then presents case studies from the Ghanaian and Liberian civil services, where different measures of internal (within bureaucratic units) versus external (across bureaucratic units) process quality were piloted. Specifically, these pilots sought to assess the feasibility, cost, and scalability of the process measures considered. We explore their correlations with other measures of productivity (for example, financial expenditures and the completion of planned tasks) and the claims and characteristics of civil servants in the surveys we have undertaken",

author = "Jane Adjabeng and Eugenia Adomako-Gyasi and Moses Akrofi and Maxwell Ampofo and Margherita Fornasari and Ignatius Geegbae and Allan Kasapa and Jennifer Ljungqvist and \{Metronao Amevor\}, Wilson and \{Nyarko Ampong\}, Felix and Gyimah, \{Josiah Okyere\} and Daniel Rogger and Nicholas Sampah and Martin Williams",

year = "2023",

month = sep,

day = "28",

doi = "10.1596/978-1-4648-1957-5",

language = "English",

isbn = "978-1-4648-1957-5",

pages = "285--306",

editor = "Daniel Rogger and Christian Schuster",

booktitle = "The Government Analytics Handbook",

publisher = "World Bank Publications",

}

Adjabeng, J, Adomako-Gyasi, E, Akrofi, M, Ampofo, M, Fornasari, M, Geegbae, I, Kasapa, A, Ljungqvist, J, Metronao Amevor, W, Nyarko Ampong, F, Gyimah, JO, Rogger, D, Sampah, N & Williams, M 2023, Government Analytics Using Data on the Quality of Administrative Processes. in D Rogger & C Schuster (eds), The Government Analytics Handbook: Leveraging Data to Strengthen Public Administration. World Bank Publications, Washington D.C, pp. 285-306. https://doi.org/10.1596/978-1-4648-1957-5

Government Analytics Using Data on the Quality of Administrative Processes. / Adjabeng, Jane; Adomako-Gyasi, Eugenia; Akrofi, Moses et al.
The Government Analytics Handbook: Leveraging Data to Strengthen Public Administration. ed. / Daniel Rogger; Christian Schuster. Washington D.C: World Bank Publications, 2023. p. 285-306.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Government Analytics Using Data on the Quality of Administrative Processes

AU - Adjabeng, Jane

AU - Adomako-Gyasi, Eugenia

AU - Akrofi, Moses

AU - Ampofo, Maxwell

AU - Fornasari, Margherita

AU - Geegbae, Ignatius

AU - Kasapa, Allan

AU - Ljungqvist, Jennifer

AU - Metronao Amevor, Wilson

AU - Nyarko Ampong, Felix

AU - Gyimah, Josiah Okyere

AU - Rogger, Daniel

AU - Sampah, Nicholas

AU - Williams, Martin

PY - 2023/9/28

Y1 - 2023/9/28

N2 - This chapter seeks to highlight the value of quantifiable measures of the quality of back-office processes when assessing governments’ bureaucratic effectiveness. Conceptually, it defines a framework for understanding administrative process productivity. It then presents case studies from the Ghanaian and Liberian civil services, where different measures of internal (within bureaucratic units) versus external (across bureaucratic units) process quality were piloted. Specifically, these pilots sought to assess the feasibility, cost, and scalability of the process measures considered. We explore their correlations with other measures of productivity (for example, financial expenditures and the completion of planned tasks) and the claims and characteristics of civil servants in the surveys we have undertaken

AB - This chapter seeks to highlight the value of quantifiable measures of the quality of back-office processes when assessing governments’ bureaucratic effectiveness. Conceptually, it defines a framework for understanding administrative process productivity. It then presents case studies from the Ghanaian and Liberian civil services, where different measures of internal (within bureaucratic units) versus external (across bureaucratic units) process quality were piloted. Specifically, these pilots sought to assess the feasibility, cost, and scalability of the process measures considered. We explore their correlations with other measures of productivity (for example, financial expenditures and the completion of planned tasks) and the claims and characteristics of civil servants in the surveys we have undertaken

UR - https://www.worldbank.org/en/publication/government-analytics/administrative-data

U2 - 10.1596/978-1-4648-1957-5

DO - 10.1596/978-1-4648-1957-5

M3 - Chapter

SN - 978-1-4648-1957-5

SP - 285

EP - 306

BT - The Government Analytics Handbook

A2 - Rogger, Daniel

A2 - Schuster, Christian

PB - World Bank Publications

CY - Washington D.C

ER -

Government Analytics Using Data on the Quality of Administrative Processes

Abstract

Access to Document

Other files and links

Fingerprint

Cite this