Ambiguity in performance management systems of complex multi-stakeholder organisations

Ojiako, Udechukwu, Bititci, Umit, Marshall, Alasdair, Chipulu, Maxwell, Manville, Graham ORCID: https://orcid.org/0000-0003-4341-1363, Jayanti Muthalagu, Subha and Farrington, Thomas (2023) Ambiguity in performance management systems of complex multi-stakeholder organisations. Production Planning & Control, 34 (14). pp. 1393-1413. ISSN 0953-7287

[thumbnail of Accepted_Manuscript]
Preview
PDF (Accepted_Manuscript) - Accepted Version
Available under License Creative Commons Attribution Non-commercial.

Download (738kB) | Preview

Abstract

This study undertakes an in-depth and rigorous exploration and explanation of the sources and implications of ambiguity in performance measurement systems and performance management practices (PMM) systems of complex multi-stakeholder organisations. In doing so, it contributes to the literature on performance measurement theories. The study is undertaken in the form of a fine-grained, inductive case study with the Child and Adolescent Mental Health Services (CAMHS) of the National Health Service of England. Data are obtained from multiple exploratory interviews with CAMHS stakeholders. The study surfaces factors that create ambiguities in the PMM practices of complex multi-stakeholder organisations, which interact in complex ways, raising questions over the value of PMM systems and practices. The originality of the paper is threefold. First, it opens a new area of debate in relation to performance measurement in complex multi-stakeholder organisations. Second, the findings demonstrate the complex interrelationships between the sources and manifestations of ambiguity advance the knowledge of PMM systems and implications in such organisations. Third, the findings reveal that the nature of complex multi-stakeholder organisations suppresses open, participative and inclusive social controls.

Item Type: Article
Uncontrolled Keywords: ambiguity,complex multi-stakeholder organisations,organisational control,performance measurement,industrial and manufacturing engineering,computer science applications,strategy and management,management science and operations research,sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/2200/2209
Faculty \ School: Faculty of Social Sciences > Norwich Business School
UEA Research Groups: Faculty of Social Sciences > Research Groups > Strategy and Entrepreneurship
Faculty of Social Sciences > Research Groups > Marketing
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 06 Dec 2021 18:18
Last Modified: 30 Jan 2024 02:50
URI: https://ueaeprints.uea.ac.uk/id/eprint/82574
DOI: 10.1080/09537287.2021.2014590

Downloads

Downloads per month over past year

Actions (login required)

View Item View Item