Developing a qualitative model of productivity for service companies using fuzzy analytic hierarchy process: a case study

Milad Akhlaghi Motlagh, Changiz Valmohammadi and Mahmoud Modiri

International Journal of Productivity and Quality Management, 2020, vol. 29, issue 1, 126-147

Abstract: The main purpose of this study is to develop a qualitative model of productivity, in order to determine the dimensions and measures of efficiency and effectiveness and their related weights of an Iranian leading internet service provider company known as of Dadeh Gostar-e Asr-e Novin. The population of the study is comprised of eight members of the surveyed company including managers of various functions who are experts in their working domain. In this research, three questionnaires were designed and used to collect data in accordance with the objectives of each phase. Also, fuzzy analytic hierarchy process (FAHP) was used to analyse the data in the final phase and to calculate the weights of the dimensions and measures of both factors of efficiency and effectiveness based on the proposed qualitative productivity model. The main finding of this study is the identification of various dimensions and their corresponding indicators of efficiency and effectiveness of the understudy service organisation based on the developed qualitative model.

Keywords: qualitative model of productivity; fuzzy analytic hierarchy process; FAHP; efficiency; effectiveness; service companies; case study. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=104519 (text/html)
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:ids:ijpqma:v:29:y:2020:i:1:p:126-147

Access Statistics for this article

More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().