Using Qualitative System Dynamics to Enhance the Performance Measurement of Sustainability

Cristiana Parisi ()
Additional contact information
Cristiana Parisi: University of Siena

Chapter Chapter 8 in Business Performance Measurement and Management, 2010, pp 115-130 from Springer

Abstract: Abstract This paper aims to propose the adoption of qualitative system dynamics frameworks in order to improve the so called “second generation” performance measurement models with regards to the social and environmental dimensions of business performance. The said models address the issue of connecting financial and non financial indicators by using strategy or success maps. Some authors suggested the use of system dynamics approaches to improve them by taking into account the dynamic nature of performance and the transformation processes linking objectives and resources. Based on a system thinking approach this paper specifically focuses on the performance measurement of sustainability, suggesting the adoption of qualitative system dynamic frameworks in order to better identify objectives and in support of a correct process of selection of indicators.

Keywords: Corporate Social Responsibility; Mental Model; Corporate Social Performance; Intangible Asset; Performance Measurement System (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (2)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-3-642-04800-5_8

Ordering information: This item can be ordered from
http://www.springer.com/9783642048005

DOI: 10.1007/978-3-642-04800-5_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().