International Journal of Supply Chain and Operations Resilience
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International Journal of Supply Chain and Operations Resilience (6 papers in press)
The effects of information sharing and logistics practices on supply chain performances by Diriba Ayele, Tika Ram Abstract: This study aimed to investigate the effect of information sharing and logistics practices on the supply chain performances of firms. To achieve the objective, the study targeted the supply chain practices of some companies operating in Ethiopia. Data were collected from 452 respondents including employees, suppliers, and distributors of the companies under study. The specified objective and proposed hypotheses in this study were tested by structural equation modelling (SEM). The result shows that the higher information sharing the better logistic management; which in turn leads to a greater supply chain performance of firms. The study concludes that information sharing has both direct and indirect effects on the supply chain performances; whereas logistics practices have a direct effect on the supply chain performance. Generally, the results theoretically and practically allow the companies and industries to recognise the significant effects of information sharing and logistics practices. Keywords: logistics; information sharing; and supply chain. DOI: 10.1504/IJSCOR.2022.10047169
Measuring the severity of a disturbance/disruption in a supply chain: a new quantitative definition, measure, and illustrations by Kannan Nilakantan Abstract: An important factor affecting the performance of a supply chain (SC) is the severity of the disturbance to the chain. The performance measures of the chain could be expected to be adversely affected by an increase in the severity of the disturbance to the system, while a system with a less severe disturbance could be expected to show better performance under the same set of circumstances. And thereby the severity of the disturbance becomes a quantity of fundamental interest in measuring SC performance. To this end, this paper proposes a substantially new quantitative definition and measure of the severity of a disruption or disturbance to a SC, through the dynamic modelling framework. The measure is then illustrated for various types of disturbances. The measure proposed herein could be expected to be of a fundamental nature, and of significance in studying the responsiveness, resilience, and operational performance analysis of SCs. Keywords: disruption; disturbance to a supply chain; severity of a disturbance; quantitative measure; quantitative definition. DOI: 10.1504/IJSCOR.2021.10043416
Approaching agricultural supply chain performance and strategic sustainable development by Mercedes Montero-Vega, Jose Ignacio Sánchez-Gómez Abstract: In Costa Rica, a large proportion of small farmers harvest roots and tubers in some of the poorest regions of the country. Addressing this, supply chains sustainability and performance intends to analyse intrinsic characteristics and the potential socio-economic benefits and development routes, including: food security, value added, economic performance, productivity and sustainability. This research proposed a tool for the analysis of supply chain performance; composed by a Delphi study creating indicators and a gap analysis between current performance and best-possible performance. The analysis used information from: in depth interviews with stakeholders and questionnaires with farmers (128), private companies (9) and consumers (515). Finally, a workshop with all parties involved validates our tool and outcomes. Results indicate potential for better loss and waste management, (especially cassava), and a strong legislative system that sometimes limits bio-economic innovations along the supply chain, coupled with governance mechanisms that tackle development and supply chain performance. Keywords: supply chain management; development; sustainability; roots and tubers. DOI: 10.1504/IJSCOR.2021.10042411
Review on supply chain resilience: phenomena, modelling techniques and framework of resilience building strategies with future research directions by Sidharath Joshi, Huynh Trung Luong Abstract: Supply chain resilience (SCR) is presently a rising concern caused by globalisation, which is subject to diverse types of disturbances. These disturbances need to be controlled in the right way, captivating the use of tools that can support resilient supply chain decisions. This research aims to provide a platform for academicians and practitioners trying to identify the current state of the work, gaps in existing research, and future directions on the topic. It offers a systematic literature review taking several papers to the extent of more than 100 papers published under the year frame from 2010-2020 into account. The research objectives are proposed and answered in this article, identifying of resilience strategies in supply chain, and various methodologies used by the academicians. Further, we develop a framework with inclusion of various strategies employed to increase resilience that can be used as a basis for understanding SCR. Various future directions for the researchers are presented, aiming to guide future research work in the area. Keywords: supply chain; management supply chain resilience; literature review; uncertainty; disruptions; mitigation strategies. DOI: 10.1504/IJSCOR.2022.10044576
Matching risk vulnerabilities with capacities for building supply chain resilience – a theoretical framework for low-probability, high-impact risks by Ming Zhou, Shu Zhou, Tianqin Shi, Taeho Park Abstract: COVID-19 best reminds us of how every pain that is felt by supply chains goes to impact production. An aggregated framework of supply chain risk analysis is needed. This research endeavoured to theoretically structure the inter-relationships among supply chain vulnerabilities as well as corresponding capacity factors to mitigate supply chain risks and sustain supply chain resilience. An inter-relationship structure among risk vulnerabilities was mapped. Capacity factors were matched with each vulnerability category using anecdotal evidence found from various news and literature databases relevant to supply chain resilience concepts. The derived capacity-vulnerability typology revealed links between vulnerability and capacity factors and a structural model for risk prioritisation in managing low-probability, high-impact risks (LPHIRs). Production businesses and professionals shall find our findings a focused guideline for efficiently and effectively building risk resilient capacities. An extensive empirical study of our model with more comprehensive databases will better validate our theoretical results. Keywords: supply chain resilience; risk management; low-probability and high-impact risks; vulnerability; adaptability; resilient strategic thinking; theory building and case studies. DOI: 10.1504/IJSCOR.2022.10046857
Supply chains risks: an interpretative structural modelling approach by Bupe Getrude Mwanza, Arnesh Telukdarie Abstract: As plastic manufacturing companies operate in a global environment, supply chain risks (SCR) become more unpredictable. Therefore, one of the pressing issues in the plastic manufacturing sector is identifying and prioritising the numerous risks for operating in a competitive business environment. Using interpretative structural modelling (ISM), the research illustrates, how managers in the plastic manufacturing industry can establish and apprehend interdependencies among the possible SCR. Interdependencies among the risks are attained and structured hierarchically in order to attain subsystems of interdependent elements that have representative driving power and dependency power. Next, the research assesses the mitigation strategies for addressing the numerous SCR. The ISM model established provides extensive insight for assisting managers to deal with the SCR while categorisation proves to be a relevant tool for differentiating between independent and dependent elements that can enable the managers to focus on key elements for minimising risk within the supply chain networks. Keywords: interpretative structural modelling; ISM; decision-making; supply chain risks; SCR; modelling; mitigation. DOI: 10.1504/IJSCOR.2022.10047165