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A fuzzy cognitive mapping model for service supply chains performance

Abbas Rezaei Pandari (Department of Management and Economics, Tarbiat Modares University, Tehran, Iran)
Adel Azar (Department of Management and Economics, Tarbiat Modares University, Tehran, Iran)

Measuring Business Excellence

ISSN: 1368-3047

Article publication date: 20 November 2017

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Abstract

Purpose

The aim of this study is to present a model for service supply chain performance evaluation (SSCPE) based on fuzzy cognitive mapping (FCM).

Design/methodology/approach

Despite the unique nature of services, which distinguishes them from goods, the performance evaluation of service supply chains (SSCs) has still not received adequate attention from researchers or practitioners. With the help of in-depth interviews conducted with insurance industry experts in Iran, the performance measures of SSCs are defined, and the relevance between the performance measures, which are based upon the knowledge of experts in this field, are presented as a fuzzy cognitive map.

Findings

By blocking the aggregate map of experts, a model for SSCPE is developed that discusses performance measures and metrics of strategic, tactical and operational SSC processes, such as service-providing management, service-enabling management, market management, cash-flow management, customer-relationship management, supplier-relationship management, knowledge- and information-flow management and risk management. Indexes of FCM models indicate that the supply chain service quality and strategy blocks have the most importance compared with others.

Originality/value

The paper develops an original SSCPE model that can be used as a basis for SSC improvement and develops an excellence model for SSC.

Keywords

Citation

Rezaei Pandari, A. and Azar, A. (2017), "A fuzzy cognitive mapping model for service supply chains performance", Measuring Business Excellence, Vol. 21 No. 4, pp. 388-404. https://doi.org/10.1108/MBE-05-2016-0026

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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