Previously published as: Benchmarking for Quality Management & Technology
Online from: 1999
Subject Area: Managing Quality
Options: To add Favourites and Table of Contents Alerts please take a Emerald profile
|Title:||Benchmarking and performance measurement: a statistical analysis|
|Author(s):||Sandra Moffett, (School of Computing and Intelligent Systems, University of Ulster, Londonderry, UK), Karen Anderson-Gillespie, (Belfast City Council, Belfast, UK), Rodney McAdam, (School of Business Organisation and Management, University of Ulster, Newtownabbey, UK)|
|Citation:||Sandra Moffett, Karen Anderson-Gillespie, Rodney McAdam, (2008) "Benchmarking and performance measurement: a statistical analysis", Benchmarking: An International Journal, Vol. 15 Iss: 4, pp.368 - 381|
|Keywords:||Benchmarking, Performance measures, Statistical analysis|
|Article type:||Research paper|
|DOI:||10.1108/14635770810887203 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
Purpose – The purpose of this paper is to explore the theoretical understanding and practical application of lead benchmarking and performance measurement as a way to achieve organisational change.
Design/methodology/approach – The paper combines a theory building/theory testing approach. Based on literary findings a conceptual model has been postulated to identify constructs associated with upstream performance measurement and lead benchmarking. A selection of research questions are posed and tested via empirical study. The survey instrument was distributed to 800 UK organisations which resulted in 157 responses.
Findings – Results from the empirical research indicate that new lead, forward looking, predictive benchmarks need to be developed to support lead benchmarking and performance measurement activities. Furthermore, it was found that currently larger organisations are more likely to adopt these practices, with considerable variation across organisational sectors.
Research limitations/implications – The empirical research achieved a 19.6 per cent response rate. While this is adequate to report statistical representation, further data collection would be beneficial for industry generalisations.
Practical implications – Many organisations struggle to grasp metric measurement for lead benchmarking. This paper may provide insight into key factors to be considered for lead benchmarking uptake.
Originality/value – This paper builds on current literature and develops a conceptual model which is then tested via empirical research. This is a novel approach in the area of lead benchmarking.
Existing customers: login
to access this document
To purchase this item please login or register.
Complete and print this form to request this document from your librarian