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U. Bititci, A. Carrie, L. McDevitt (1997)
Integrated performance measurement systems: a development guideInternational Journal of Operations & Production Management, 17
M. Franco, M. Bourne (2003)
Factors that play a role in “managing through measures”Management Decision, 41
M. Bourne, J. Mills, M. Wilcox (2000)
Designing, implementing and updating performance measurement systemsInternational Journal of Operations & Production Management, 20
Paolo Gaiardelli, N. Saccani, Lucrezia Songini (2007)
Performance measurement systems in after-sales service: an integrated frameworkInternational Journal of Business Performance Management, 9
R. Kaplan, D. Norton (1996)
Using the balanced scorecard as a strategic management systemHarvard Business Review, 74
Timothy Hinkin (1995)
A Review of Scale Development Practices in the Study of OrganizationsJournal of Management, 21
T. Douglas, L. Fredendall (2004)
Evaluating the Deming Management Model of Total Quality in ServicesDecis. Sci., 35
J. Hair (1972)
Multivariate data analysisInternational Statistical Review, 40
Monica Franco-Santos, M. Kennerley, Pietro Micheli, V. Martinez, Steve Mason, B. Marr, D. Gray, A. Neely (2007)
Towards a definition of a business performance measurement systemInternational Journal of Operations & Production Management, 27
Zoe Radnor, D. Barnes (2007)
Historical analysis of performance measurement and management in operations managementInternational Journal of Productivity and Performance Management, 56
A. Neely, M. Gregory, K. Platts (1995)
Performance measurement system designInternational Journal of Operations & Production Management, 15
A. Parida, U. Kumar (2006)
Maintenance performance measurement (MPM): issues and challengesJournal of Quality in Maintenance Engineering, 12
A. Neely, M. Bourne (2000)
WHY MEASUREMENT INITIATIVES FAILMeasuring Business Excellence, 4
A. Pavlov, M. Bourne (2011)
Explaining the effects of performance measurement on performance: An organizational routines perspectiveInternational Journal of Operations & Production Management, 31
M. Bourne, M. Kennerley, Monica Franco-Santos (2005)
Managing through measures: a study of impact on performanceJournal of Manufacturing Technology Management, 16
D. Denyer, D. Tranfield, J. Aken (2008)
Developing Design Propositions through Research SynthesisOrganization Studies, 29
Barbara Flynn, E. Flynn (2004)
An exploratory study of the nature of cumulative capabilitiesJournal of Operations Management, 22
C. Voss, Nikos Tsikriktsis, M. Frohlich (2002)
Case research in operations managementInternational Journal of Operations & Production Management, 22
J. Coetzee (1999)
A holistic approach to the maintenance “problem”Journal of Quality in Maintenance Engineering, 5
T. Jambulingam, Ravi Kathuria, W. Doucette (2005)
Entrepreneurial orientation as a basis for classification within a service industry: the case of retail pharmacy industryJournal of Operations Management, 23
K. Kutucuoglu, J. Hamali, Z. Irani, J. Sharp (2001)
A framework for managing maintenance using performance measurement systemsInternational Journal of Operations & Production Management, 21
R. Hensley (1999)
A review of operations management studies using scale development techniquesJournal of Operations Management, 17
P. Muchiri, L. Pintelon, L. Gelders, H. Martin (2011)
Development of maintenance function performance measurement framework and indicatorsInternational Journal of Production Economics, 131
S. Melnyk, Douglas Stewart, M. Swink (2004)
Metrics and performance measurement in operations management: dealing with the metrics mazeJournal of Operations Management, 22
S. Leeuw, J. Berg (2011)
Improving operational performance by influencing shopfloor behavior via performance management practicesJournal of Operations Management, 29
M. Miles, A. Huberman (1994)
Qualitative Data Analysis: An Expanded Sourcebook
A. Waal (2003)
Behavioral factors important for the successful implementation and use of performance management systemsManagement Decision, 41
R. Kaplan, D. Norton (1998)
The Balanced ScorecardTechnometrics, 40
Dan Remenyi (2012)
Case Study Research
Sai *, U. Bititci (2005)
Implementation and impact of IT-supported performance measurement systemsProduction Planning & Control, 16
A. Neely, H. Richards, J. Mills, K. Platts, M. Bourne (1997)
Designing performance measures: a structured approachInternational Journal of Operations & Production Management, 17
K. Eisenhardt (1989)
Building theories from case study researchSTUDI ORGANIZZATIVI
J. Dean, S. Snell (1991)
Integrated Manufacturing and Job Design: Moderating Effects of Organizational InertiaAcademy of Management Journal, 34
U. Bititci, K. Mendibil, S. Nudurupati, P. Garengo, T. Turner (2006)
Dynamics of performance measurement and organizational cultureInternational Journal of Operations & Production Management, 26
A. Parida, G. Chattopadhyay (2007)
Development of a multi‐criteria hierarchical framework for maintenance performance measurement (MPM)Journal of Quality in Maintenance Engineering, 13
Juhani Ukko, Jussi Karhu, H. Rantanen (2007)
How to communicate measurement information successfully in small and medium-sized enterprises: a regression modelInt. J. Inf. Qual., 1
J. Armstrong, Terry Overton (1977)
Estimating Nonresponse Bias in Mail SurveysJournal of Marketing Research, 14
C. Ittner, D. Larcker (2003)
Coming up short on nonfinancial performance measurement.Harvard business review, 81 11
Robert Simons (1999)
Performance Measurement and Control Systems for Implementing Strategy: Text and Cases
Purpose – The intended function of performance measurement is to support the effective management of an organisation and the improvement of organisational performance. However, how performance measurement should be used operationally to support the achievement of improved performance is not self-evident. The purpose of this paper is to examine the operational use of performance measurement in practice and to describe how different use practices contribute to improved performance. Design/methodology/approach – The authors conducted an exploratory single case study in a maintenance process. Data were collected using a mixed methods approach that encompassed qualitative meetings and interviews (identification of usage practices) followed by a quantitative survey (elaboration of usage practices and their performance effects). Findings – Three usage practices are relevant: Inspect and Improve, Motivate, and Decision Making. Improved performance is best achieved through motivational and supportive improvement use. Furthermore, performance measurement systems must be designed properly to establish their use. Research limitations/implications – Being based on a single-case study, the identified usage practices may be limited to field service organisations or other organisations with similar organisational structures. The findings suggest opportunities for further research linking operational performance measurement system use and the body of knowledge on the design and purpose of performance measurement in maintenance processes. Practical implications – A performance measurement system can be used as a motivational improvement tool in operational level leadership. Upper level management must support its use by designing an understandable and applicable system. Originality/value – This paper identifies specific usage practices that contribute to improved performance, thereby providing a more detailed view than the usage categories found in the extant literature. The focus is on operational, rather than strategic, level management.
Journal of Quality in Maintenance Engineering – Emerald Publishing
Published: Oct 7, 2014
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