An expert diagnosis system for the benchmarking of SMEs' performance

Sylvain Delisle and Josée St-Pierre ()
Additional contact information
Sylvain Delisle: UQTR - Université du Québec à Trois-Rivières
Josée St-Pierre: INRPME - Institut de recherche sur les PME - UQTR - Université du Québec à Trois-Rivières, UQTR - Université du Québec à Trois-Rivières

Post-Print from HAL

Abstract: Although benchmarking has proven to be valuable for large businesses and organizations for quite sometime, up until recently, serious doubts existed as to its usefulness for smaller businesses. In this paper, we present the PDG ® , a benchmarking system meant to evaluate SMEs from an external perspective in order to produce a diagnosis of their performance and potential, complemented with relevant recommendations. Our research results show that benchmarking allows SMEs to improve their operational performance thus confirming the usefulness of benchmarking. These results also confirm the value of the recommendations included in the PDG ® report concerning short-term actions to be undertaken to modify management practices. We think the PDG ® system proves that if the benchmarking approach is tailored to SMEs' characteristics, an adequate tool can be devised and used to help SMEs increase their performance.

Keywords: Benchmarking; Performance; Expert Systems (search for similar items in EconPapers)
Date: 2003
Note: View the original document on HAL open archive server: https://hal.science/hal-01704920
References: View complete reference list from CitEc
Citations:

Published in 1st International Conference on Performance Measures, Benchmarking and Best Practices in New Economy, 2003, Lisbonne, Portugal

Downloads: (external link)
https://hal.science/hal-01704920/document (application/pdf)

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:hal:journl:hal-01704920

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().