Title: Supply chain performance measurement systems: a qualitative review and proposed conceptual framework
Authors: Sharfuddin Ahmed Khan; Amin Chaabane; Fikri Dweiri
Addresses: Department of Automated Manufacturing Engineering, École de technologie supérieure, Montréal, Canada; Industrial Engineering and Engineering Management Department, University of Sharjah, Sharjah, United Arab Emirates ' Department of Automated Manufacturing Engineering, École de technologie supérieure, Montréal, Canada ' Industrial Engineering and Engineering Management Department, University of Sharjah, Sharjah, United Arab Emirates
Abstract: Management of supply chain (SC) is becoming more challenging with every passing day due to high competition, globalisation, and digitalisation because of the recent adoption of internet of things (IoT) technologies in order to increase supply chain visibility. Due to this fact, importance of supply chain performance measurement systems (SCPMS) has been increased significantly. To cope with these challenges and remain competitive, organisations are keen to evaluate SC performance more precisely. Therefore, this paper adopts a qualitative review methodology to find out if existing SCPMS are in line with the current emerging technology trends of managing SC and measuring SC performance and if not, what will be the characteristics of future SCPMS. Results show particularly that existing SCPMSs are not adequate to cope with the complexity and the technology advancement observed in supply chain management as a smart way for measuring modern SC performance is needed. Finally, this study proposes a conceptual supply chain performance measurement (SCPM) framework to fill the identified research gaps.
Keywords: supply chain management; SCM; supply chain performance measurement systems; SCPMS; knowledge base system; integrated framework; qualitative review.
DOI: 10.1504/IJISE.2020.104315
International Journal of Industrial and Systems Engineering, 2020 Vol.34 No.1, pp.43 - 64
Received: 05 Jan 2018
Accepted: 13 Apr 2018
Published online: 03 Jan 2020 *