The structure of knowledge management in inter-organisational exchanges for resilient supply chains

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Umar ◽  
Mark Wilson ◽  
Jeff Heyl
Keyword(s):  
Knowledge Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Knowledge Generation ◽  
Collaborative Culture ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Food Supply Chains ◽  
Study Approach ◽  
Structure Of Knowledge

Purpose This study aims to build on the extant literature of knowledge management (KM) capabilities, notably infrastructure and processes, and examine how these capabilities influence the resilience of supply chains that experience regular natural disasters. Design/methodology/approach A multiple case study approach has been adopted to investigate the role of KM within foods supply chains of two different South Asian regions. This context was selected as these regions are prone to regular natural disruptions and these food supply chains also play a crucial role in the relief process. Findings The data shows that supply chain resilience can be enhanced when supply chain members collaborate to generate, share and use knowledge. These KM processes are greatly facilitated by KM infrastructure capabilities. IT advancements, a cohesive collaborative culture and the presence of strong central hubs firms in the network facilitate knowledge generation, knowledge sharing and knowledge utilisation, thus building supply chain resilience. Given the abductive nature of this research, these findings form the most likely associations, but with a degree of uncertainty. Hence, the authors provide propositions for further detailed research in this important area. Originality/value This study is one of the few, as far as the authors can tell, that seeks to examine the influence of KM on the resilience of supply chains. Further, uncovering the sub-structure of KM in this context adds to this emerging body of literature.

scholarly journals Supply Chain Resilience: Unleashing the Power of Collaboration in Disaster Management

2021 ◽  
Vol 13 (19) ◽  
pp. 10573
Author(s):  
Muhammad Umar ◽  
Mark Wilson
Keyword(s):  
Supply Chain ◽  
Rural Communities ◽  
Supply Chains ◽  
Natural Disasters ◽  
Food Supply ◽  
Supply Chain Collaboration ◽  
Supply Chain Resilience ◽  
Food Supply Chains ◽  
Study Approach ◽  
Multiple Case

This study builds on the extant literature of supply chain collaboration, specifically, vertical and horizontal collaboration, and examines how these capabilities influence the resilience of supply chains that experience regular natural disasters in rural communities, as their economic wellbeing relies heavily on the continuation of these supply chains. A multiple case study approach has been adopted to investigate the role of collaboration within food supply chains of two different South Asian regions. This context was selected because these regions are prone to regular natural disruptions, and these food supply chains also play a crucial role in the disaster relief process. The data revealed that effective communication, mutual dependence, information sharing, informal financial support, and trust are some of the components of supply chain collaboration that enhance the overall resilience of supply chains in natural disasters.

Supply chain resilience: the whole is not the sum of the parts

2019 ◽  
Vol 40 (1) ◽  
pp. 92-115 ◽  
Author(s):  
Marcelo Martins de Sá ◽  
Priscila Laczynski de Souza Miguel ◽  
Renata Peregrino de Brito ◽  
Susana Carla Farias Pereira
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Interfirm Relationships ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Food Supply Chains ◽  
Trade Offs ◽  
Climatic Event ◽  
Depth Interviews ◽  
Practical Implications

Purpose The purpose of this paper is to investigate how resilience at different nodes in the supply chain influences overall supply chain resilience (SCRES) during an extreme weather event. Design/methodology/approach Based on 41 in-depth interviews, this qualitative study examines two Brazilian agri-food supply chains (AFSC). The interviews explored the impacts, preparedness, response and adaptation strategies adopted by farmers, processors and manufacturers during Brazil’s extreme drought of 2014–2015. Findings SCRES does not depend on all organizations in the supply chain but rather on the company able to reconfigure the resources to control for the disruption. In a supply chain with low interdependence among players, individual firm resilience elements might be preferable to interorganizational ones. Research limitations/implications This study is based on the context of AFSCs with low interdependence among players and during the experience of a climatic event. The results might not be generalizable to other sectors and phenomena. Practical implications Firms must evaluate their positions in supply chains and their interfirm relationships to determine which resilience strategy to invest in and rely on. Moreover, to leverage resilience at the supply chain level, firms must intensify information sharing and improve proactive resilience strategies upstream as well as downstream in the supply chain. Originality/value This study presents a broader perspective of resilience by comparing resilience elements at both the node and supply chain levels and by discussing their interactions and trade-offs.

scholarly journals Achieving resilience through knowledge management practices and risk management culture in agri-food supply chains

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Imran Ali ◽  
Ismail Golgeci ◽  
Ahmad Arslan
Keyword(s):  
Knowledge Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Food Supply ◽  
Management Practices ◽  
Dynamic Capability ◽  
Content Type ◽  
Food Supply Chains ◽  
Knowledge Management Practices ◽  
Supply Chain Risks

Purpose Given the increasingly turbulent business landscape and unprecedented incidents (e.g. Covid-19), firms must achieve supply chain resilience (SCRes) as a dynamic capability to bounce back from adversities and ensure continuity of operations. The purpose of this study is to integrate the three interrelated [knowledge management, risk management culture (RMC) and resilience] but often separately discussed concepts to advance the understanding of their intertwined influence on SCRes in the agri-food supply chains. Design/methodology/approach This study uses a cross-sectional survey approach where quantitative data is collected from 349 participants from the Australian agri-food supply chains to test the proposed hypotheses. Findings Exposure to supply chain risks triggers the deployment of specific knowledge management practices in the agri-food supply chains. Further, the analysis on serial mediation suggests that firms’ knowledge management practices work sequentially (knowledge acquisition, assimilation and application) and develop a RMC to achieve SCRes amid supply chain risks. Practical implications The findings of this study inform practitioners and policymakers who seek to understand the key mechanisms that facilitate the development of SCRes when facing supply chain risks, particularly in the Australian agri-food supply chains. Social implications The growth of the food industry through more resilient food supply chains could ensure sustained food supply and more employment opportunities. Originality/value Using dynamic capability theory, the authors devise a novel empirical model that explicates how knowledge management practices and RMC instigate the dynamic capability of SCRes amid supply chain risks facing agri-food supply chains.

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.

Dynamic capabilities in the “new normal”: a study of organizational flexibility, integration and agility in the Peruvian coffee supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Ramos ◽  
Andrea S. Patrucco ◽  
Melissa Chavez
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Food Supply ◽  
Dynamic Capabilities ◽  
Partial Least Square ◽  
Least Square ◽  
Supply Chain Performance ◽  
Organizational Flexibility ◽  
Content Type ◽  
Food Supply Chains

Purpose Considering the unprecedented supply chain disruptions due to the COVID-19 pandemic, especially in the agri-food sector, the possession of dynamic capabilities (DCs) – particularly, the need for higher agility – seems to be the key to survival in highly uncertain environments. This study aims to use the dynamic capability view (DCV) theory to analyze how three key supply chain capabilities – organizational flexibility, integration and agility – should be combined to obtain the desired supply chain performance. Design/methodology/approach The authors designed a conceptual model in which the relationships between these three key capabilities and supply chain performance were hypothesized. The model was first tested through partial least square regression using survey data collected from 98 members of the Peruvian coffee supply chain. A fuzzy-set qualitative comparative analysis (fsQCA) was conducted to uncover how DCs could be combined in successful supply chain configurations. Findings The authors show that organizational flexibility is a driver of higher agility in agri-food supply chains, together with external and internal supply chain integration, that have a direct impact on agility, which positively affects supply chain performance. Higher levels of supply chain agility are necessary but insufficient to guarantee high performance, as sufficiency is reached when both integration (internal and/or external) and agility are present. Originality/value This study represents a pioneering attempt to apply the DCV theory to agri-food supply chains – characterized by many sources of uncertainty. All the DCs are included within the same model and the joint use of PLS regression and fsQCA provides evidence about the relationships between DCs and how they can empower agri-food supply to obtain the desired performance.

Supply chain resilience

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
Cutting Edge ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings COVID-19 has had a dramatic and damaging effect on supply chains and distributors. This briefing considers why, and what strategies there may be to cope. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Factors affecting the diffusion of traceability practices in an imported fresh produce supply chain in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ying Yi ◽  
Phil Bremer ◽  
Damien Mather ◽  
Miranda Mirosa
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Diffusion Of Innovation ◽  
Food Supply ◽  
Fresh Produce ◽  
Content Type ◽  
Factors Affecting ◽  
Integrated Framework ◽  
Food Supply Chains ◽  
Food Recalls

PurposeThe purpose of this paper is to facilitate the successful adoption of traceability technologies, such as blockchain, into food supply chains and facilitate the understanding of the barriers and enablers to their uptake by channel members' needs so that appropriate enabling strategy can be put in place.Design/methodology/approachIn this paper, an integrated framework involving five components was used as the methodology: (1) diffusion of innovation theory, (2) the innovation concept, (3) the business structure-conduct-performance paradigm, (4) legitimacy and (5) trust was developed and assessed for validity through interviewing 21 channel members, including distributors, wholesalers, Internet retailers and traditional retailers associated with a global fresh produce company's supply chain in China.FindingsBarriers negatively framing channel members' attitudes and decisions included a perceived lack of need owing to fresh produce having a short shelf life and being of low value and risk. However, the importance of traceability and the need for effective food recalls were not always understood among channel members, and distributed trust innovations were also suppressed by their lack of compatibility with the Chinese hierarchical culture.Originality/valueTo date, channel members' perception of innovations in food supply chains has not been considered in light of the components proposed in the integrated framework. The adapted framework used in this study ensured a comprehensive assessment of channel members' attitude and motivations toward traceability practices.

Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maureen S. Golan ◽  
Benjamin D. Trump ◽  
Jeffrey C. Cegan ◽  
Igor Linkov
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Securities And Exchange Commission ◽  
Matrix Analysis ◽  
Stress Tests ◽  
Critical Function ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Production And Distribution ◽  
The Face

PurposeDespite rapid success in bringing SARS-CoV-2 vaccines to distribution by multiple pharmaceutical corporations, supply chain failures in production and distribution can plague pandemic recovery. This review analyzes and addresses gaps in modeling supply chain resilience in general and specifically for vaccines in order to guide researchers and practitioners alike to improve critical function of vaccine supply chains in the face of inevitable disruptions.Design/methodology/approachSystematic review of the literature on modeling supply chain resilience from 2007 to 2020 is analyzed in tandem with the vaccine supply chain manufacturing literature. These trends are then used to apply a novel matrix analysis to seven Securities and Exchange Commission (SEC) annual filings of pharmaceutical corporations involved in COVID-19 vaccine manufacture and distribution.FindingsPharmaceutical corporations favor efficiency as they navigate regulatory, economic and other threats to their vaccine supply chains, neglecting resilience – absorption, adaptation and recovery from inevitable and unexpected disruptions. However, explicitly applying resilience analytics to the vaccine supply chain and further leveraging emerging network science tools found in the academic literature, such as artificial intelligence (AI), stress tests and digital twins, will help supply chain managers to better quantify efficiency/resilience tradeoffs across all associated networks/domains and support optimal system performance post disruption.Originality/valueThis is the first review addressing resilience analytics in vaccine supply chains and subsequent extension to operational management through novel matrix analyses of SEC Filings. The authors provide analyses and recommendations that facilitate resilience quantification capabilities for vaccine supply chain managers, regulatory agencies and corporate stakeholders and are especially relevant for pandemic response, including application to the SARS-CoV-2 vaccines.

Social gains for artisanal agroindustrial producers induced by cooperation and collaboration in agri-food supply chain

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Renato Rocha dos Santos ◽  
Patricia Guarnieri
Keyword(s):  
Supply Chain ◽  
Social Responsibility ◽  
Supply Chains ◽  
Detailed Analysis ◽  
Food Supply ◽  
Social Indicators ◽  
Collective Actions ◽  
Content Type ◽  
Food Supply Chains ◽  
Positive Effects

Purpose This study aims to analyze which collective actions (cooperation, coordination and collaboration), present in the supply chain of artisanal products, generate positive effects in terms of social gains. Design/methodology/approach The authors conduct multiple case studies in the supply chain of seven artisanal agroindustries in the Distrito Federal, Brazil. The data were collected through interviews, documental analysis and direct observation. The data were analyzed using the content analysis technique proposed by Bardin (1977). With priori and a posteriori analytical categories, it was possible to conduct: a detailed analysis of the current situation of artisanal agroindustries regarding collective actions from the perspective of supplier/supplier and supplier/client and a detailed analysis for the possible effects of collective actions that impact the supply chain and the indicators of social sustainability of artisanal agroindustries. Findings The results indicate that cooperation and collaboration have contributed positively in the transactions of the products of the artisanal agroindustries, reflecting in social gains for the producing families. In this context, some collective actions can be highlighted as follows: the collective commercial spaces, the demonstration spaces of the artisan products in the clients’ environment, the prospecting of improvements from the final consumers, the face-to-face meetings with the suppliers, the product dissemination by the customer, the joint marketing actions and the rationalization of transportation logistics. Research limitations/implications The study used a qualitative approach and findings and discussion are inherently interpretative and cannot be generalized. Practical implications This study can contribute to researchers and practitioners interested in collective actions contributing to the incrementation of social responsibility in agri-food supply chains. Social implications Understanding how the collective actions support the inclusion of smallholding and artisanal producers in agri-food supply chains can help policymakers and managers to implement initiatives related to social responsibility, which can be measured using social indicators. This creates a social benefit through rural growth and economic development, generation of income and social productive inclusion of the artisanal producers in larger agri-food supply chains. Originality/value For the best of the authors’ knowledge, this is the first paper approaching collective actions as the main source of incrementation of social benefits, which can measure the incrementation of social responsibility in agri-food supply chains.

Network resilience modelling: a New Zealand forestry supply chain case

2020 ◽  
Vol 31 (2) ◽  
pp. 291-311
Author(s):  
Paul Childerhouse ◽  
Mohammed Al Aqqad ◽  
Quan Zhou ◽  
Carel Bezuidenhout
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Supply Chains ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Network Resilience ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Event Simulation ◽  
Export Supply

PurposeThe objective of this research is to model supply chain network resilience for low frequency high impact disruptions. The outputs are aimed at providing policy and practitioner guidance on ways to enhance supply chain resilience.Design/methodology/approachThe research models the resilience of New Zealand's log export logistical network. A two-tier approach is developed; linear programming is used to model the aggregate-level resilience of the nation's ports, then discrete event simulation is used to evaluate operational constraints and validate the capacity of operational flows from forests to ports.FindingsThe synthesis of linear programming and discrete event simulation provide a holistic approach to evaluate supply chain resilience and enhance operational efficiency. Strategically increasing redundancy can be complimented with operational flexibility to enhance network resilience in the long term.Research limitations/implicationsThe two-tier modelling approach has only been applied to New Zealand's log export supply chains, so further applications are needed to insure reliability. The requirement for large quantities of empirical data relating to operational flows limited the simulation component to a single regionPractical implicationsNew Zealand's log export supply chain has low resilience; in most cases the closure of a port significantly constrains export capacity. Strategic selection of location and transportation mode by foresters and log exporters can significantly enhance the resilience of their supply chains.Originality/valueThe use of a two-tiered analytical approach enhances validity as each level's limitations and assumptions are addressed when combined with one another. Prior predominantly theoretical research in the field is validated by the empirical investigation of supply chain resilience.

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