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http://dx.doi.org/10.13106/jafeb.2020.vol7.no11.843

Prioritizing Service Supply-Chain Performance Measures Using Multi-Criteria Decision-Making Methodologies  

ABBAS, Haidar (Department of Business Administration, College of Applied Sciences, University of Technology & Applied Sciences)
ALAWI, Alamir Al (College of Applied Sciences, University of Technology & Applied Sciences)
MAKTOUMI, Khadija Al (Department of Human Resources, Majan Electricity Company)
Publication Information
The Journal of Asian Finance, Economics and Business / v.7, no.11, 2020 , pp. 843-851 More about this Journal
Abstract
This study focuses on identifying and prioritizing the broader performance measures for the service supply chains by taking the case of Majan Electricity Company, Sohar, in the Sultanate of Oman. For an examination of the uniformity of ultimate objectives and the priorities therein, two strata of respondents with a total of fourteen respondents were approached for their valuable insights. Suitable structured instruments were personally administered to elicit the insightful and worthy responses. The two multi-criteria decision-making techniques, namely, the Fuzzy Analytical Hierarchy Process and the Best-Worst Method were used to reach a meaningful prioritization of the identified and refined broader performance measurement dimensions. The results show that there exists a minor gap between the two respondents' groups in terms of their prioritizations. The major finding points to the difference in terms of the topmost priorities as revealed by the two set of respondents. For one group of respondents, the customer satisfaction matters the most, whereas for the other group, it is the overall profitability that matters the most. This gap against the utopian state assists in concluding that there is a requirement to reorient the employees so as to have a shared and common understanding of the organizational priorities.
Keywords
Service Supply Chains; Performance Measurement; Best-Worst Method; Fuzzy Analytical Hierarchy Process; Multi Criteria Decision Making;
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