Title: Supply chain innovation performance evaluation based on the cross-efficiency concept: case study of Supply Chain Innovation Award's winners, runner-ups and finalists
Authors: Hassan Arabshahi; Hamed Fazlollahtabar
Addresses: Department of Innovation and Technology Management, Mazandaran University of Science and Technology, Babol, Iran ' Department of Industrial Engineering, School of Engineering, Damghan University, Damghan, Iran
Abstract: This paper suggests a DEA-based structure for efficiency evaluation of supply chain innovations considering innovation risk and performance improvement. In this model, risk paradigms of supply chain innovation and popular supply chain performance measures are considered as the input and output of CCR-output oriented model respectively. Defect of DEA in ranking the efficient units has been solved by cross-efficiency concept and a practical case study of Supply Chain Innovation Award's winners, runner-ups and finalists is implemented. The obtained results lead to develop the 'effective innovation' concept within the supply chain management field which provides an innovation with the lowest possible risk and the highest positive effect on supply chain performance measures.
Keywords: supply chain innovation; SCI; innovation risk; efficiency evaluation; data envelopment analysis; DEA; Supply Chain Innovation Award.
DOI: 10.1504/IJLSM.2020.108692
International Journal of Logistics Systems and Management, 2020 Vol.36 No.3, pp.343 - 369
Received: 31 Jan 2018
Accepted: 20 Nov 2018
Published online: 27 Jul 2020 *