Performance management systems' stability: Unfolding the human factor – A case from the Italian public sector

Laura Maran, Enrico Bracci and Robert Inglis

The British Accounting Review, 2018, vol. 50, issue 3, 324-339

Abstract: The aim of this study is to examine the institutional context during the emergence of New Public Management (NPM), which created pressure on public sector organizations to implement performance management systems (PMSs), such as the balanced scorecard (BSC). Drawing on Granlund's framework (2001) and Giddens' (1979) structuration theory, we engage insights from a longitudinal case study of an Italian local authority to show how managers exercise agency before the mandated implementation of the BSC. This analysis suggests a re-interpretation of Granlund’s (2001) factors of inertia (human, institutional and economic) in terms of balance among the three factors, and inclusion of a historic and culturally specific perspective. The findings also encourage a broader consideration of the agency of managers in a public entity before the design and enhancement of a NPM tool.

Keywords: Performance management; Italian public sector; Balanced scorecard; Structuration theory; Factors of change and stability (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0890838918300027
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:bracre:v:50:y:2018:i:3:p:324-339

DOI: 10.1016/j.bar.2018.01.002

Access Statistics for this article

The British Accounting Review is currently edited by Nathan Lael Joseph and Alan Lowe

More articles in The British Accounting Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().