scholarly journals Mitigation processes – antecedents for building supply chain resilience

2014 ◽  
Vol 19 (2) ◽  
pp. 211-228 ◽  
Author(s):  
Kirstin Scholten ◽  
Pamela Sharkey Scott ◽  
Brian Fynes
Keyword(s):  
Supply Chain ◽  
Hurricane Katrina ◽  
Disaster Management ◽  
Theory And Practice ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Management Processes ◽  
Management Context ◽  
Resilience Framework ◽  
Integrated Supply Chain

Purpose – This study aims to combine theory and practice to develop an integrated supply chain resilience framework by investigating the inter-dependencies between the strategic literature based concept of supply chain resilience and operational practitioner based disaster management processes. Design/methodology/approach – Utilising an in-depth qualitative case of a collaborative agency, this study identifies best practices within disaster management for insights on the operationalisation of supply chain resilience. Findings – The empirical data leads to the development of an integrated supply chain resilience framework capturing the interplay of disaster management processes and capabilities required to build supply chain resilience. The critical importance of mitigation processes in building supply chain resilience is highlighted. Practical implications – The generic supply chain resilience framework represents a valuable guide for managers when directing resources and planning for building the capabilities required in each phase of disaster management, while remaining strategically focused. The value of the framework is demonstrated by a retrospective analysis of aid operations in response to Hurricane Katrina. Originality/value – The study's results are the first to bridge theory and practice on supply chain resilience. By utilising the unique humanitarian aid disaster supply chain management context, a two-way knowledge and learning flow between humanitarian and commercial organisations is established.

Supplying resilience through assessing diversity of responses to disruption

2020 ◽  
Vol 40 (3) ◽  
pp. 271-292 ◽  
Author(s):  
Helena Kahiluoto ◽  
Hanna Mäkinen ◽  
Janne Kaseva
Keyword(s):  
Supply Chain ◽  
Research Question ◽  
Effective Means ◽  
Price Volatility ◽  
Theory And Practice ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Response Diversity ◽  
Base Management ◽  
Practical Implications

PurposeThe purpose of this paper is to contribute to the theory and practice of supply chain management in terms of how an organisation should structure its supply base to be resilient to supply uncertainties and disruptions. An empirical assessment of supplier response diversity is demonstrated, and the following research question posed: Is response diversity of suppliers positively associated with supply chain resilience, more positively than mere supplier diversity is?Design/Methodology/ApproachResilience is operationalised as the maintenance of sales of two food products in 27 southern Finnish retail stores during two distinct disruptions. Response diversity is operationalised as 1) diversity in the personnel sizes of slaughterhouse suppliers of pork under domestic strikes and as 2) evenness in the proportions of imports and domestic supply of food oil under global price volatility. A five-step quantitative assessment is performed.FindingsResponse diversity is positively related to the maintenance of sales, more positively than diversity of individual suppliers is.Research limitations/ImplicationsResponse diversity is an advancement to the theory of supply chain resilience and supply base management, and access to big data increases practical potential.Practical implicationsEmpirical assessments of response diversity of suppliers provide buyer companies an effective means to enhance their supply base management for resilience.Social implicationsThe proposed approach is useful for teaching and for authorities to enhance food security.Originality/valueThis first assessment of response diversity of supply chain operations presents an important advancement in the theory and practice of supply base management for resilience.

Prioritizing resilient capability factors of dealing with supply chain disruptions: an analytical hierarchy process (AHP) application in the textile industry

2020 ◽  
Vol 27 (9) ◽  
pp. 2537-2563
Author(s):  
Arsalan Zahid Piprani ◽  
Noor Ismawati Jaafar ◽  
Suhana Mohezar Ali
Keyword(s):  
Supply Chain ◽  
Analytical Hierarchy Process ◽  
Textile Industry ◽  
Multicriteria Decision Making ◽  
Supply Chain Disruptions ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Negative Impacts ◽  
Integrated Supply Chain ◽  
Hierarchy Process

PurposeThe purpose of the study is to determine and prioritize the resilient capability factors at different stages of supply chain disruptions in Pakistan's textile industry.Design/methodology/approachThe study employs a two-stage methodology. In the first stage, the extant literature was reviewed, and based on that, experts' panel consultations were conducted to identify the resilient capability factors at the different stages of supply chain. In the second stage, analytical hierarchy process (AHP) methodology was used to rank the resilient capability factors needed in Pakistan's textile industry.FindingsThe results show that building an integrated supply chain ranking is one of the most critical practices in bolstering supply chain resilience. The results also reveal that firms should focus on the readiness phase of resilience as it is categorized as the most important phase.Practical implicationsThe findings of the study provide supply chain professionals with a clear consideration of the critical factors that are needed to build supply chain resilience. From an industry-specific perspective, the study offers guidelines on what resilient capability factors should be regarded as critical when implementing resilient capabilities in order to reduce the negative impacts of disruptions.Originality/valueThe study is among the first studies in prioritizing the resilient capability factors at different phases of supply chain disruptions. The study would provide further opportunities for future researchers in using other multicriteria decision-making tools.

What are the mechanisms through which inter-organizational relationships contribute to supply chain resilience?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sajad Fayezi ◽  
Hadi Ghaderi
Keyword(s):  
Supply Chain ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Conceptual Development ◽  
Interorganizational Relationships ◽  
Theory And Practice ◽  
Illustrative Case ◽  
Organizational Relationships ◽  
Content Type ◽  
Supply Chain Resilience

PurposeOur study advances theory in supply chain resilience (SCRes) by identifying and describing the mechanisms through which interorganizational relationships (IORs) contribute to SCRes.Design/methodology/approachWe employ a multi-method conceptual development design combining structured and narrative review of the literature, supported by illustrative case studies. A four-stage refinement process was used for data reduction, and analysis was informed by complex adaptive systems (CAS) theory.FindingsOur findings identify connectivity, collectivity and scalability as key mechanisms through which relationships between organizations contribute to SCRes. These mechanisms draw on IOR elements of information sharing, decision synchronization and incentive alignment to augment self-organization and emergence, and adaptation and coevolution via modifying/advancing resilience strategies and practices.Originality/valueOur study advances theory and practice of SCRes by expounding on how connectivity, collectivity and scalability act as mechanisms that drive and diffuse the contribution of resilient strategies/practices to resilience capability. This is significant for strategic alignment between IORs and SCRes.

scholarly journals Impact of disruptions in agri-food supply chain due to COVID-19 pandemic: contextualised resilience framework to achieve operational excellence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruchi Mishra ◽  
Rajesh Kumar Singh ◽  
Nachiappan Subramanian
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Ground Level ◽  
Food Supply Chain ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Resilience Framework ◽  
Research Propositions ◽  
Lack Of Commitment ◽  
Operational Excellence

PurposeThe present study aims to assess the role of supply chain resilience as an operational excellence approach to deal with disruptions caused by coronavirus pandemic in the food supply chain of an agri-food supply firm.Design/methodology/approachThe case study method was used to analyse the disruptions faced by the agricultural food supply chain during the pandemic. The study applies a dynamic capability theory as a foundation to develop a contextualised resilience framework for agri-food supply chain to achieve operational excellence. The case has been analysed by using situation-actor-process (SAP) and learning-action-performance (LAP) framework.FindingsThe SAP aspect of framework points that the flexibility amongst actors for a resilient agriculture supply chain worsened due to the lockdown measures post COVID-19. The LAP aspect of framework suggests how resilience can be built at the supply, demand and logistics end through various proactive and reactive practices such as collaboration, coordination, ICT and ground-level inputs. Lack of commitment and inadequate support from top management towards supply chain resilience are also observed as significant challenges to maintain operational excellence during the pandemic.Research limitations/implicationsOne of the major implications of the study is that a mix of capabilities rather than a single capability can be the most appropriate way for making the supply chain resilient to maintain operational excellence during the pandemic. However, the sources of disruptions need to be duly recognised to derive the best-contextualised resilience framework for agri-food supply chains.Originality/valueThe development of a contextualised research framework as well as research propositions for analysing supply chain resilience are the major contribution of this study.

An empirical examination of firm financial performance along dimensions of supply chain resilience

2017 ◽  
Vol 40 (3) ◽  
pp. 254-269 ◽  
Author(s):  
Xun Li ◽  
Qun Wu ◽  
Clyde W. Holsapple ◽  
Thomas Goldsby
Keyword(s):  
Supply Chain ◽  
Financial Performance ◽  
Three Dimensions ◽  
Empirical Examination ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Critical Dimensions ◽  
Firm Financial Performance ◽  
Supply Chain Agility ◽  
The Impact

Purpose This paper aims to investigate the impact of three critical dimensions of supply chain resilience, supply chain preparedness, supply chain alertness and supply chain agility, all aimed at increasing a firm’s financial outcomes. In a turbulent environment, firms require resilience in their supply chains to prepare for potential changes, detect changes and respond to actual changes, thus providing superior value. Design/methodology/approach Using survey data from 77 firms, this study develops scales for preparedness, alertness and agility. It then tests their hypothesized relationships with a firm’s financial performance. Findings The results reveal that the three dimensions of supply chain resilience (i.e. preparedness, alertness and agility) significantly impact a firm’s financial performance. It is also found that supply chain preparedness, as a proactive resilience capability, has a greater influence on a firm’s financial performance than the reactive capabilities including alertness and agility, suggesting that firms should pay more attention to proactive approaches for building supply chain resilience. Originality/value First, this study develops a comparatively comprehensive definition for supply chain resilience and explores its dimensionality. Second, this study provides empirically validated instruments for the dimensions of supply chain resilience. Third, this study is one of the first to provide empirical evidence for direct impact of supply chain resilience dimensions on a firm’s financial performance.

Propagation of risks and their impact on performance in fresh food retail

2015 ◽  
Vol 26 (3) ◽  
pp. 568-602 ◽  
Author(s):  
Samir K Srivastava ◽  
Atanu Chaudhuri ◽  
Rajiv K. Srivastava
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Performance Measures ◽  
Theory And Practice ◽  
Food Retail ◽  
Content Type ◽  
Fresh Food ◽  
Retail Supply Chains ◽  
And Performance ◽  
Supply Chain Risks

Purpose – The purpose of this paper is to carry out structural analysis of potential supply chain risks and performance measures in fresh food retail by applying interpretive structural modeling (ISM). Design/methodology/approach – Inputs were taken from industry experts in identifying and understanding interdependencies among food retail supply chain risks on different levels (sourcing and logistics outside the retail stores; storage and customer interface at the stores). Interdependencies among risks and their impact on performance measures are structured into a hierarchy in order to derive subsystems of interdependent elements to derive useful insights for theory and practice. Findings – Using the ISM approach the risks and performance measures were clustered according to their driving power and dependence power. Change in/inadequate government regulations’ are at the bottom level of the hierarchy implying highest driving power and require higher attention and focussed mitigation strategies. Risks like lack of traceability, transport delays/breakdowns and temperature abuse, cross-contamination in transport and storage have medium driver and dependence powers. Research limitations/implications – The approach is focussed on food retail supply chains in the Indian context and thereby limits the ability to generalize the findings. The academics and experts were selected on convenience and availability. Practical implications – It gives managers a better understanding of the risks and performance measures that have most influence on others (driving performance measures) and those measures which are most influenced by others (dependent performance measures) in fresh food retail and also a tool to prioritize them. This kind of information is strategic for managers who can use it to identify which performance measures they should concentrate on managing the trade-offs between measures. The findings and the applicability for practical use have been validated by both experts and practicing managers in food retail supply chains. Originality/value – The work is perhaps the first to link supply chain risks with performance and explains the propagation of risks in food retail supply chains. It contributes to theory by addressing a few research gaps and provides relevant managerial insights for practitioners.

AI technologies and their impact on supply chain resilience during COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin Modgil ◽  
Shivam Gupta ◽  
Rébecca Stekelorum ◽  
Issam Laguir
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Information Processing ◽  
Supply Chains ◽  
Failure Modes ◽  
Stress Test ◽  
Weak Links ◽  
Content Type ◽  
Supply Chain Resilience

PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.

Exploring critical success factors (CSFs) of humanitarian supply chain management (HSCM) in flood disaster management (FDM)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Isaac Sakyi Damoah
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Disaster Management ◽  
Success Factors ◽  
Flood Disaster ◽  
Chain Management ◽  
Content Type ◽  
Humanitarian Operations ◽  
Critical Success ◽  
Humanitarian Supply Chain

PurposeThis study explores the critical success factors (CSFs) in humanitarian supply chain management (HSCM) by focussing on flood disaster management (FDM) in Ghana.Design/methodology/approachAn in-depth semi-structured interview and questionnaire surveys in a sequential data collection approach were used to collect data from definitive stakeholders of humanitarian organisations. The data was analysed using exploratory factor analysis (EFA), confirmatory factors analysis (CFA) and structural equation modelling (SEM) techniques.FindingsSeventy-four factors were identified as success factors of HSCM of flood disaster management. However, 41 of these factors were statistically significant and considered as critical. In descending order, these factors relate to management practices, education and training, stakeholder involvement and cooperation, infrastructure, innovation and technology, materials and resources, administrative practices, socio-cultural and economic. Whilst some factors are internal to the humanitarian organisations, others are external factors that are beyond the control of humanitarian organisations.Research limitations/implicationsEven though this study offers empirical results that could guide policymakers in their decision-making about humanitarian operations, care needs to be taken since the data is within one country and within a specific disaster context – hence, policymakers need to consider the local contextual dynamics. Future studies could look at different disasters context to make a comparative analysis of various types of disaster operations.Practical implicationsInstitutions such as World Health Organization, Red Cross organisations and UN seeking to curbs global-warming-related disasters and the reduction of the effects of flood disaster can use findings as a guide during the formulation of HSCM policies and strategies.Originality/valueUnlike previous studies of humanitarian operations that focussed extensively on theoretical expositions, simulations, conceptual frameworks and models, this present study offers empirical evidence of humanitarian operations in the context of SCM. Further, by highlighting on the HSCM CSFs, this study contributes to disaster reduction and their effects on humanity in the context of FDM. This research could be used as guide by governments and FDM organisations to make informed decisions on SCM areas to focus the most during FDM.

The application of Lean Six Sigma and supply chain resilience in maritime industry during the era of COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yugowati Praharsi ◽  
Mohammad Abu Jami’in ◽  
Gaguk Suhardjito ◽  
Hui Ming Wee
Keyword(s):  
Supply Chain ◽  
Continuous Improvement ◽  
Six Sigma ◽  
Business Processes ◽  
Lean Six Sigma ◽  
Maritime Industry ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Control Approach ◽  
Logistics Services

Purpose This study aims to apply a Lean Six Sigma framework to support continuous improvement in the maritime industry (shipbuilding, logistics services and shipping companies) during COVID-19 pandemics. By applying the concepts of Lean Six Sigma and supply chain resilience, the most suitable continuous improvement method for the maritime industry is developed to maintain a resilient supply chain during COVID-19. Design/methodology/approach A specific shipbuilding, logistics services and shipping company in Indonesia is chosen as the research object. The Lean Six Sigma framework reveals the wastes through the supply chain resilience concept, and implements internal business processes to maintain optimal system performance. Findings The paper identifies important implementation aspects in applying Lean Six Sigma to shipbuilding, logistics services and shipping. The DMAIC (define, measure, analyze, improve and control) approach is applied to achieve supply chain resilience. Resilient measures are generated for the case companies to maximize performance during the pandemics. Practical implications This paper provides a new insight for integrating Lean Six Sigma and resilience strategies in the maritime industry during COVID-19 disruptions. The authors provide some insights to sustain the performance of the maritime industries under study. Originality/value This study is part of the first research in the maritime industry that focuses on continuous improvement during COVID-19 using Lean Six Sigma and supply chain resilience.

The role of big data analytics capabilities in bolstering supply chain resilience and firm performance: a dynamic capability view

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamad Bahrami ◽  
Sajjad Shokouhyar
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Firm Performance ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Management Culture

PurposeBig data analytics capability (BDAC) can affect firm performance in several ways. The purpose of this paper is to understand how BDA capabilities affect firm performance through supply chain resilience in the presence of the risk management culture.Design/methodology/approachThe study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. 167 responses were collected and analyzed using partial least squares in SmartPLS3. The respondents were generally senior IT executives with education and experience in data and business analytics.FindingsThe results show that BDA capabilities increase supply chain resilience as a mediator by enhancing innovative capabilities and information quality, ultimately leading to improved firm performance. In addition, the relationship between supply chain resilience and firm performance is influenced by risk management culture as a moderator.Originality/valueThe present study contributes to the relevant literature by demonstrating the mediating role of supply chain resilience between the BDA capabilities relationship and firm performance. In this context, some theoretical and managerial implications are proposed and discussed.

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