A Framework for Performance Measurement and Management Based on Axiomatic Design and Analytical Hierarchy Process
Paolo Taticchi (),
Luca Cagnazzo (),
Marco Santantonio () and
Flavio Tonelli ()
Additional contact information
Paolo Taticchi: University of Perugia
Luca Cagnazzo: University of Perugia
Marco Santantonio: University of Perugia
Flavio Tonelli: University of Genoa
Chapter Chapter 15 in Business Performance Measurement and Management, 2010, pp 229-240 from Springer
Abstract:
Abstract Performance measurement and management (PMM) is a key practice to drive modern businesses. The literature available in this field highlights a certain maturity regarding performance measurement systems, while few frameworks have been proposed for PMM, which is today target. This paper presents a new framework for PMM, namely Business System Design Decomposition (BSDD), based on the strengths of the Axiomatic Design (AD) and the Analytic Hierarchy Process (AHP) techniques. The BSDD framework, offers a holistic approach to PMM, identifies cause-effects relationships in business processes, measures the performance versus stakeholders and offers interlinking between performance indicators. The result, is a deep understanding of the business environment and a real step forward PMM.
Keywords: Design Parameter; Analytic Hierarchy Process; Design Matrix; Functional Requirement; Axiomatic Design (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:
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_15
Ordering information: This item can be ordered from
http://www.springer.com/9783642048005
DOI: 10.1007/978-3-642-04800-5_15
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 ().