Developing a performance management system using soft systems methodology: A Chinese case study
Wenbin B. Liu,
Wei Meng,
John Mingers,
Ning Tang and
Wei Wang
European Journal of Operational Research, 2012, vol. 223, issue 2, 529-540
Abstract:
The economic crisis created major problems for a successful, hi-tech Chinese company – Tonsan. They already had in place a performance management system based around the balanced scorecard which worked successfully in times of growth and high demand. However, with the world downturn they suddenly found that their current system was not able to cope with the demands placed on it. The authors were called in and decided to design a new, strategic performance management system to overhaul all the key business processes. The approach taken to develop the PM system was based around Soft Systems Methodology (SSM), a well established systems-based approach to problem solving and organizational design. The methodology progressed from the development of key strategic objectives (using the BSC and strategy maps), through a structured decomposition of necessary organizational activities, the construction of key performance indicators, the specification of targets, to communication and future planning. It involved significant levels of participation and communication throughout the organization. The results were judged by senior management to have been very successful, and the company has grown significantly.
Keywords: Productivity and competitiveness; Performance management; Soft systems methodology; 3E methodology (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221712004845
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:ejores:v:223:y:2012:i:2:p:529-540
DOI: 10.1016/j.ejor.2012.06.029
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().