Title: Risk management process towards operation performance in supply chain management: a survey of manufacturing SMEs
Authors: Ali Haj Aghapour; Govindan Marthandan; David Yong Gun Fie; Suhaiza Zailani
Addresses: Graduate School of Management, Multimedia University, Malaysia ' Graduate School of Management, Multimedia University, Malaysia ' Faculty of Management, Multimedia University, Malaysia ' Operations and MIS Department, Faculty of Business and Accountancy, University of Malaya, Malaysia
Abstract: Risk management has become an important area in supply chain management since the late 1990s. However, less empirical studies have been reported in the literature that links risk management practices to performance, especially among SMEs. This paper aims to empirically investigate the sequential impact of this managerial process on non-financial performance of three execution decision areas of the SCOR model. Therefore, a cross-sectional study was conducted among manufacturing SMEs in Iran. Data was collected from 160 high managers with knowledge of past and present organisational practices. Using partial least squares modelling (PLS-SEM), analysis of manufacturing plants from six industries indicates that superior risk identification supports the subsequent risk assessment and this in turn leads to better risk mitigation. The model also explains 38% of the variance observed in supply chain operation performance. Accordingly, to ensure better supply chain operations in terms of reliability, flexibility and responsiveness, cost and assets, the findings of this study recommend SMEs to pay more attention towards risk analysing practices on one hand and distribution KPIs on the other hand. However, the study was based on decision makers' perceptions and the participation of divergent industries creates common limitations and future research orientations.
Keywords: supply chain risk management; SCRM; SCOR model; partial least squares; PLS; SEM; structural equation modelling; PLS-SEM; process-based operations; performance measurement; small and medium-sized enterprises; operational performance; supply chain management; SCM; manufacturing SMEs; Iran.
DOI: 10.1504/IJLSM.2017.083224
International Journal of Logistics Systems and Management, 2017 Vol.27 No.1, pp.78 - 114
Received: 08 Dec 2015
Accepted: 13 Mar 2016
Published online: 22 Mar 2017 *