Title: A proposed conceptual action plan for identification, assessment and mitigation of supply chain risks
Authors: Muhammad Saeed Shahbaz; Bestoon Abdulmaged Othman; Peshraw Mahmood Salman; Danish Ali Memon; Raja Zuraidah Binti Raja Mohd Rasi
Addresses: Department of Management Sciences, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Pakistan ' Department of Business Administration, Koya Technical Institute, Erbil Polytechnic University, Erbil, Iraq; Scientific Research and Development Center-Nawroz University, Kurdistan Regional, Iraq ' Department of Business Administration, Technical College of Administration, Sulaimani Polytechnic University, Kurdistan, Iraq ' Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, Malaysia ' Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, Malaysia
Abstract: Any disruption can disturb many organisations and even the whole system. There are many theories and frameworks that present a solution but no study is available that theoretically development framework for supply chain risk management. The focus of this study is to develop a framework for identifying risks and assessment of their effects on supply chain performance. Additionally, evaluate the role of supply chain collaboration for Malaysia manufacturing. This is a conceptual paper, systematic as well as content analysis have been done for the literature review. For future studies, there is a need to empirically verification of this theoretical framework. The proposed methodology to achieve this framework is; a questionnaire will be developed from a pool and will be validated by an exploratory view for risk identification. This questionnaire will be distributed among Malaysian manufacturing and data will be analysed through structural equation modelling (SEM) for risk assessment and mitigation. The theoretical contribution of this study is the support of the theory of swift, even flow and information processing theory.
Keywords: supply chain risk management; risk identification; risk assessment; risk mitigation.
DOI: 10.1504/IJAOM.2020.107509
International Journal of Advanced Operations Management, 2020 Vol.12 No.1, pp.65 - 80
Accepted: 26 Oct 2019
Published online: 31 May 2020 *