Multi‐factor productivity measurement model for service organisation
B.S. Sahay
International Journal of Productivity and Performance Management, 2005, vol. 54, issue 1, 7-22
Abstract:
Purpose - To discuss the concept of productivity in the service sector and to present a multifactor productivity measurement model for a service organisation. Design/methodology/approach - Employs a case study approach, featuring a service organisation which provides a range of engineering services to different industries. The model focuses on objectives of the organization and overall results rather than the individual departmental activities. Findings - The case study shows how different factors of static, dynamic and development parameters can be taken into account to calculate the total productivity of an organisation. Research limitations/implications - The case study organization represents only one industry sector. However, it is claimed that the generic model for productivity measurement described may be used by any type of service organisation. Warns that it is not always possible to assess the nature and extent of bias introduced by the measures selected and the weightages assigned to these measures. Practical implications - The model can determine the gap between what is actually accomplished and what it is possible to accomplish (unlike subjective targeting), providing the potential for improvement. Originality/value - The model presented is important in that it attempts to measure unmeasurable factors.
Keywords: Productivity rate; Organizational analysis; Volume measurement; Production improvement; Service industries (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers
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:eme:ijppmp:17410400510571419
DOI: 10.1108/17410400510571419
Access Statistics for this article
International Journal of Productivity and Performance Management is currently edited by Dr Aylin Ates and Dr Berk Kucukaltan
More articles in International Journal of Productivity and Performance Management from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().