Cost-Effectiveness and Manageability Based Prioritisation of Supply Chain Risk Mitigation Strategies

Qazi, Abroon; Quigley, John M.; Dickson, Alex

doi:10.1007/978-981-10-4106-8_2

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…A model by Carter and Ellram (1998) discussed attributes in the RLSC as external and internal stakeholders, the regulatory task environment and internal input, process and output task environment. Those factors/attributes are identified as either positive drivers or constraints, which could support defining and understanding the complexity in a supply chain (Qazi, 2018). Therefore, in the context of RLSC for DWM those factors could be named as operations, physical infrastructure, soft infrastructure (the government and regulatory environment), technologies and internal and external stakeholders (Ratnasabapathy et al.…”

Section: Discussionmentioning

confidence: 99%

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Modelling the cause and effect relationship risks in reverse logistics supply chains for demolition waste

Jayasinghe

Rameezdeen

Chileshe

2022

ECAM

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PurposeThe reverse logistics supply chain (RLSC) for demolition waste management (DWM) is a complex process that inherits significant interdependent risks. However, studies on the RLSC have not explicitly identified the risks of its inter-relationships by disentangling their effects on operational performance. Accordingly, this paper aims to identify and assess the inter-dependencies of the risks in the RLSC to improve quality-related operational performance.Design/methodology/approachA sequential exploratory mixed-method research approach, consisting of qualitative and quantitative methods, was employed. The qualitative approach involved 25 semi-structured interviews, whereas the 18 subsequent structured interviews were conducted with stakeholders in the entire RLSC as part of the quantitative method. These were used to identify the cause and effect relationships of the identified risks. The data were analysed using thematic analysis, and the Bayesian belief network (BBN) technique was used to develop a conceptual risk model.FindingsIn total 20 risks in four RLSC sub-processes, namely, dismantling and on-site process, off-site resource recovery process, marketing of secondary products and residue disposal, emerged. Among cause and effect relationships of identified risk factors, inferior quality of secondary products was found to have the strongest relationship with customer satisfaction. Under-pricing of dismantling job, improper landfill operations and inadequacy of landfill levy are independent risks that initiate other risks down the supply chain. The aggregate effects of these risks affect customer dissatisfaction of the end-product, as well as health and safety risks in on-site, off-site and residue disposal.Research limitations/implicationsThis study only identify the cause and effect relationships of the identified risks within the RLSC for DWM operations. It has not targeted a specific construction material or any secondary production, which could be practiced through a case study in future research.Practical implicationsThe results encourage the investigation of RLSC process quality by maintaining the relationship between recycler and customer to enable a safe workplace environment. Hence, the role of relevant practitioners and government is inseparable in supporting decision-making. Future research could discuss the impact of those inter-related risks in relation to time- or cost-related operational performance criteria.Originality/valueThis study contributes to the field through presenting the first major study on the identification and assessment of the inter-dependencies of the risks in the RLSC in South Australia. The RLSC process mapping had been identified as a tactical and operational management approach. However, the risk management process is a strategic management approach. Therefore, the integration of both process mapping and the risk management approaches in one platform is germane to construction management research.

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Section: Discussionmentioning

confidence: 99%

“…The impact/systemic effort of risk propagation is reflected through several performance measurement criteria, such as cost, time and quality (Heckmann et al. , 2015; Qazi, 2018). Among these criteria, “quality” is identified as significant (Tse et al.…”

Section: Introductionmentioning

confidence: 99%

Modelling the cause and effect relationship risks in reverse logistics supply chains for demolition waste

Jayasinghe

Rameezdeen

Chileshe

2022

ECAM

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“…Sustainable Business and Operations Management extends this focus internally. Global Value Chains span global activities, while Supply Chain Risk Management prioritises risk mitigation (Dutta, 2021;Lee and Ulferts, 2011;Qazi et al, 2018).…”

Section: Review Of Literaturementioning

confidence: 99%

Rajkumar and Venkataraman: Cross-Sectioning Sustainable Supply Chain Governance: A Bibliometric Analysis

Venkatarman,

Rajkumar

2024

IRMM

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Sustainable supply chain governance is pivotal in modern business, addressing global supply chains' profound environmental, social, and ethical impacts. It necessitates establishing and administering policies to guide sustainable practices, ensuring adherence to the supply chain's environmental, social, and ethical standards. Effective governance aligns and supports business operations with sustainability goals, fostering transparency, accountability, and responsible practices. This framework guides decision-making, mitigates risks, and enhances overall supply chain resilience, contributing to a more sustainable and ethically responsible business landscape. The corporate shift towards sustainable supply chain management(SSCM) is manifested by the emerging literature documenting comprehensive changes in governance. A bibliometric-based systematic review of 128 Scopus-indexed documents (2014-2023) reveals four interconnected themes: SSCM, Sustainable Business & Operations Management, Global value chains, and Supply chain risk management. Analysis highlights the critical role of governance mechanisms in driving positive social, ecological, and economic outcomes. Governance achieves this by establishing clear policies and standards for social and environmental responsibility and ensuring robust mechanisms for compliance and accountability. Sustainable supply chain governance provides a blueprint for integrating sustainability. It ensures ongoing commitment and accountability, fostering significant and lasting positive effects on society, the environment, and overall supply chain resilience.

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Towards secure & green two-stage supply chain networks

Pintea

Calinescu

Sitar

et al. 2018

Logic Journal of the IGPL

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Cost-Effectiveness and Manageability Based Prioritisation of Supply Chain Risk Mitigation Strategies

Cited by 3 publications

References 27 publications

Modelling the cause and effect relationship risks in reverse logistics supply chains for demolition waste

Modelling the cause and effect relationship risks in reverse logistics supply chains for demolition waste

Rajkumar and Venkataraman: Cross-Sectioning Sustainable Supply Chain Governance: A Bibliometric Analysis

Towards secure & green two-stage supply chain networks

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