Evaluating logistics capability for mitigation of supply chain uncertainty and risk in the Australian courier firms

2015 ◽  
Vol 27 (3) ◽  
pp. 486-498 ◽  
Author(s):  
Michael Wang ◽  
Ferry Jie ◽  
Ahmad Abareshi
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Empirical Data ◽  
Structural Equation ◽  
Management Strategies ◽  
Negative Relationship ◽  
Supply Chain Risk Management ◽  
Content Type ◽  
Risk Management Strategies ◽  
Logistics Capability

Purpose – Logistics capability is an important ability for transport and logistics firms to deliver the value and services to the customers. In contrast, supply chain uncertainty and risk is an issue in supply chain and logistics to obstruct the delivery. The purpose of this paper is to evaluate and understand the logistics capability, and to provide empirical evidence for logistics capability mitigating supply chain uncertainty and risk in the Australian courier firms. Design/methodology/approach – This study examines the relationship between logistics capability and supply chain uncertainty and risk. Partial least squares approach for structural equation modelling is applied for data analysis involving the interplay of theoretical thinking and empirical data. Empirical data are collected through a web-based survey. Total 98 Australian courier firms are identified and invited in the study. Findings – Based on the factor analysis, the authors identify the key factors of logistics capability for the Australian courier firms. This would help both academics and practitioners to have a better understanding of logistics capability in the transport ad logistics firms. In addition, results indicate that there is a negative relationship between logistics capability and supply chain uncertainty and risk in the Australian courier firms. Research limitations/implications – The result in support of logistics capability mitigating supply chain uncertainty and risk. It also makes a contribution to logistics risk management literature. The paper focuses on the Australian courier industry. Therefore, any generalisation to other countries or sectors must be made with caution. Originality/value – This paper provides an insight into supply chain uncertainties and risks management. This would result in the development of a practical guidance for practitioners developing and deploying logistics capability to support and enable supply chain risk management strategies.

Developing supply chain risk management capabilities by aligning strategies: integrating Triple-A model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Waqar Ahmed ◽  
Muhammad Zaki Rashidi
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Structural Equation ◽  
Statistical Technique ◽  
Equation Modeling ◽  
Original Research ◽  
Supply Chain Risk Management ◽  
Content Type ◽  
The Right ◽  
Management Capabilities

Purpose Risk is primarily managed by developing the right strategies. Effective alignment of lean and agile strategies is always challenging for practitioners to create firm’s competitiveness. The purpose of this study is to comprehend the behavior of these fundamental supply chain (SC) strategies by using the Triple-A framework. Design/methodology/approach Sample data is collected from 257 SC professionals serving in manufacturing firms through a self-administered structured questionnaire. The statistical technique used to perform hypotheses testing is structural equation modeling. Findings This study discloses a few critical attributes of lean and agile strategies while attempting to create strategic alignment and gain maximum benefits out of it. One of the key findings is that a lean strategy finds it challenging to create adaptability. However, better alignment among the market priorities and operational capabilities may improve risk management capabilities. Practical implications This study posits various vital insights for strategy-makers. For instance, it is advised to the operations managers that lean resources are usually never capable of adopting change but can be aligned with the market changes to create a SC risk management capability for the firm. Originality/value This is an original research with various useful insights for SC operations strategy-makers and academic researchers as it reveals a key empirical evidence of past vital concepts.

scholarly journals Phases and tools for supply chain risk management: a systematic literature review

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Priscila Gomes Pereira Gaspar ◽  
Paula Santos Ceryno ◽  
Ana Luiza Ferrer ◽  
Antônio Márcio Tavares Thomé
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Management Strategies ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Academic Literature ◽  
Risk Management Strategies ◽  
Selection Of

Abstract Supply chain risk management (SCRM) has been widely discussed in the academic literature and several models have been proposed in recent years, but there is a need for a model encompassing phases and tools for SCRM. This study presents a systematic literature review (SLR) of 254 abstracts and 68 full-text papers. The SLR made it possible to identify and define the main phases for the SCRM, as well as the tools proposed for each phase. There is a concentration of efforts in the phases of identification, assessment, and selection of risk management strategies and a limited number of studies in monitoring and controlling risks. The article offers a global SCRM framework, contributing to the theoretical discussions and a practical guide to implementation related to SCRM.

Examining the role of stakeholder pressure and knowledge management on supply chain risk and demand responsiveness

2014 ◽  
Vol 25 (1) ◽  
pp. 202-223 ◽  
Author(s):  
David E. Cantor ◽  
Jennifer Blackhurst ◽  
Mengyang Pan ◽  
Mike Crum
Keyword(s):  
Risk Management ◽  
Knowledge Management ◽  
Supply Chain ◽  
Structural Equation ◽  
Risk Mitigation ◽  
Equation Modeling ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
The Impact

Purpose – The purpose of this paper is to contribute to the supply chain risk management literature by examining how stakeholders place pressure on the firm to engage in risk management activities. Design/methodology/approach – This paper utilizes a survey approach to test the nomological model. The analysis was carried out using structural equation modeling techniques. Findings – The results demonstrate that stakeholders place pressure on the firm to mitigate risk and that knowledge management (KM) and joint planning activities with suppliers serve as mediating roles in the model. The process-oriented model reveals that these factors influence the firm's ability to be responsive to customer demand. Originality/value – The research represents one of the first papers to empirically test how stakeholder theory and KM contributes to risk mitigation activities. Additionally, the paper shows the impact of KM factors on risk mitigation activities. The paper attempts to explain from both a theoretical and empirical perspective how and why firms are engaging in risk mitigation activities and how the impacts demand responsiveness.

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