scholarly journals Supply chain resilience in the face of uncertainty: how horizontal and vertical collaboration can help?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maryam Lotfi ◽  
Abby Larmour
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Thematic Analysis ◽  
Design Methodology ◽  
Thematic Map ◽  
Content Type ◽  
Supply Chain Resilience ◽  
The Face ◽  
Horizontal Collaboration ◽  
The Relationship

PurposeThe COVID-19 outbreak highlights that many supply chains are exposed to unforeseen disruptions, that risks are unavoidable, and that the international nature of supply chains can seriously disrupt normal operations. Therefore, the need for Supply Chain Resilience (SCRES) is more imperative than ever. Furthermore, collaboration in supply chains may have benefitted the response to the COVID-19 outbreak. The aim of this research is to gain a deeper understanding of how collaboration with both types of horizontal and vertical collaboration in the supply chain affects its resilience.Design/methodology/approachA thematic analysis of the literature is used to investigate the concepts of both vertical and horizontal collaboration and supply chain resilience separately, then integrating identified themes to understand the relationship between them through a thematic map.FindingsThe thematic analysis indicates that the more firms collaborate in the supply chain, the more resilient they will be. Furthermore, both horizontal and vertical collaboration between supply chain partners will enhance resilience. This relationship is positively moderated by governance in the partnership and negatively moderated by competition in the partnership.Originality/valueThis is one of the first papers to provide in-depth insights into how collaboration, with both types of horizontal and vertical collaboration, affects supply chain resilience. Neither of previous articles provide an understanding of how both types of collaboration enables supply chain resilience.

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.

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.

Inter-organizational fit and environmental innovation in supply chains

2018 ◽  
Vol 38 (8) ◽  
pp. 1683-1704 ◽  
Author(s):  
Yongyi Shou ◽  
Wen Che ◽  
Jing Dai ◽  
Fu Jia
Keyword(s):  
Cluster Analysis ◽  
Supply Chain ◽  
Supply Chains ◽  
Design Methodology ◽  
Canonical Discriminant Analysis ◽  
Environmental Innovation ◽  
Organizational Fit ◽  
Content Type ◽  
Cluster Membership ◽  
The Relationship

Purpose Through examining the two constructs of inter-organizational complementarity and inter-organizational compatibility in supply chains, the purpose of this paper is to develop a taxonomy of focal firms’ inter-organizational fit (IOF) configurations with their suppliers and customers, and examine the relationship between these configurations and environmental innovation (EI) in order to answer the question of “with whom” to collaborate for EI development. Design/methodology/approach A survey instrument was elaborated and data from a sample of 171 US firms were collected. The authors adopted cluster analysis to identify the IOF taxonomy. Canonical discriminant analysis was employed to uncover underlying dimensions between clustering variables and cluster membership. Then, ANOVA tests were conducted to investigate relationships between IOF configurations in the context of EI in supply chains. Findings Three configurations were identified based on the complementarity and compatibility between focal firms and their supply chain partners. It is observed that the overall IOF level is positively related to firms’ EI outcomes. Moreover, inter-organizational complementarity facilitates incremental EI while inter-organizational compatibility plays a more crucial role in radical EI. Both are required to achieve the best innovation outcome. Originality/value This research develops the first taxonomy for depicting IOF in a supply chain innovation context and also clarifies different rationale behind the development of incremental and radical EI through examining distinctive effects of the complementarity and compatibility with supply chain partners.

scholarly journals Capability components of supply chain resilience for readymade garments (RMG) sector in Bangladesh during COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Ali ◽  
Syed Mahbubur Rahman ◽  
Guilherme F. Frederico
Keyword(s):  
Supply Chain ◽  
Design Methodology ◽  
Fashion Industry ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Second Stage ◽  
Qualitative Research Design ◽  
The Relationship ◽  
Depth Interviews ◽  
Practical Implications

PurposeThe readymade garments (RMG) industry acts as one of the foremost vital catalysts for financial as well as social advancement of Bangladesh. Due to the harsh impact of COVID-19, RMG sector has been confronting a never-seen-before phenomenon. Since the supply chain has seriously been influenced, concern raises among industry and policymakers on how to support against disturbances resulting from pandemics. Accordingly, this research aims to explore the vulnerability and capability factors of RMG sector in Bangladesh, their relationship and how these variables affect supply chain resilience.Design/methodology/approachA qualitative research design has been employed. In the first stage, content analysis has been performed. Since COVID-19 is a new experience, newspapers were the source to become acquainted with the vulnerability and capability factors following the guidelines provided by Pettit et al. (2010). In the second stage, in-depth interviews with key informants were conducted to investigate the relationship among the variables and how these factors may influence supply chain resilience.FindingsThis study identifies fourteen capability factors and their sub-factors of RMG industry in Bangladesh in order to improve the resilience capacity against the vulnerabilities in the context of COVID-19 pandemic.Research limitations/implicationsThis research is based on the setting of particular industry in Bangladesh, where respondents are immersed in a unique culture. Special care is required to generalize the results to other segments and phenomena.Practical implicationsThe framework recognizes the balanced and unbalanced strength with the capability's components and find the relation between capabilities and vulnerabilities within the fashion industry. By creating the resilience network with the four conceivable positions, companies can find themselves with their capability's components and natural vulnerabilities.Originality/valueThis study investigates diverse components of capability figure against vulnerabilities to create the supply chain resilience. This paper, moreover, develops with four conceivable positions with their capabilities against existing vulnerabilities which brings timely contribution considering the context of COVID-19.

Supply network resilience: a systematic literature review and future research

2017 ◽  
Vol 28 (4) ◽  
pp. 1387-1424 ◽  
Author(s):  
P. Datta
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Supply Chains ◽  
Systematic Literature Review ◽  
Empirical Studies ◽  
Sufficient Conditions ◽  
Future Research ◽  
Content Type ◽  
Supply Chain Resilience ◽  
The Face

Purpose The purpose of this paper is to investigate the knowledge existing in the literature on supply chain resilience for identifying the supply chain practices adopted for securing resilience in given uncertain event. Design/methodology/approach A systematic literature review is conducted to identify 84 conceptual and empirical studies. The research findings are synthesized in categories of uncertain events, supply chain practices and outcomes. Findings A set of propositions linking the uncertain events, mechanisms and supply chain resilience improvement is developed. It was found that the sufficient conditions for resilience under unexpected disasters are substantially different from those required for resilience against disruptions caused by internal practices or complexity. Originality/value Practitioners can benefit from the knowledge of interventions and mechanisms to improve their supply chain resilience in the face of different unpredictable situations. The contribution of this paper is twofold: first, it develops an actionable theory of supply chain resilience by developing testable propositions in the context of supply chains exposed to uncertainties resulting from unexpected disruptions, complexity of supply chains and adoption of certain internal practice; second, the paper highlights the key shortcomings of existing literature and provides opportunities for further research and improvement.

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.

Supply chain governance: a conceptual model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Franciele Bonatto ◽  
Luis Mauricio Martins de Resende ◽  
Joseane Pontes
Keyword(s):  
Supply Chain ◽  
Thematic Analysis ◽  
Perceived Risk ◽  
Contextual Factors ◽  
Past Research ◽  
Relational Governance ◽  
Content Type ◽  
Relationship History ◽  
Supply Chain Governance ◽  
The Relationship

Purpose This paper aims to clarify ambiguous results from previous research on the relationship between contextual factors, trust and supply chain governance (SCG). Design/methodology/approach This study carried out a systematic literature review in 11 databases, with articles published until 2018. Afterward, this study conducted a thematic analysis in 60 articles to address the contextual factors, governance structures and trust approaches raised in previous research. Findings The thematic analysis revealed that seven contextual factors influence the choice of contractual and relational mechanisms in supply chains: relationship history, environmental uncertainty, perceived risk, perceived justice, asset specificity, power asymmetry and interdependence. The findings explained the ambiguous results of past research by proposing that contractual and relational governance are complementary and that the presence of trust (affective and competence-based) moderates the relationship between contextual factors and SCG. Originality/value This research advances the SCG literature by proposing trust (affective and competence-based) as a moderating variable that fosters governance mechanisms in supply chain relationships.

Episodic supply chains at times of disruption

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christina Öberg
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Design Methodology ◽  
Secondary Data ◽  
Transformational Change ◽  
Content Type ◽  
Metal Additive Manufacturing ◽  
Contemporary Technology ◽  
Metal Additive

Purpose Additive manufacturing has been described as converting supply chains into demand chains. By focusing on metal additive manufacturing as a contemporary technology causing ongoing disruption to the supply chain, the purpose of this paper is to describe and discuss how incumbent firms act during an ongoing, transformational disruption of their supply chain. Design/methodology/approach Interviews and secondary data, along with seminars attracting approximately 600 individuals operating in metal additive manufacturing, form the empirical basis for this paper. Findings The findings of this paper indicate how disruption occurs at multiple positions in the supply chain. Episodic positions as conceptualised in this paper refer to how parties challenged by disruption attempt to reach normality while speeding the transformational disruption. Originality/value This paper contributes to previous research by theorising about episodic positions in light of a supply chain disruption. The empirical data are unique in how they capture supply chain change at the time of disruption and illustrate disruptive, transformational change to supply chains. The paper interlinks research on disruption from the innovation and supply chain literature, with contributions to both.

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 Knowledge capabilities in supply chain networks: a taxonomy

2020 ◽  
Vol 24 (3) ◽  
pp. 655-674
Author(s):  
Robert Ogulin ◽  
Gustavo Guzman ◽  
Subasinghage Maduka Nuwangi
Keyword(s):  
Supply Chain ◽  
Design Methodology ◽  
Research Process ◽  
Managerial Decision ◽  
Content Type ◽  
Supply Chain Networks ◽  
Different Types ◽  
The Relationship ◽  
Practical Implications ◽  
Two Bodies

Purpose This paper aims to develop a conceptual taxonomy for building requisite knowledge capabilities for different supply chain network (SCN) types. Specifically, it examines knowledge capabilities required for three types of SCNs: efficient, collaborative and agile SCNs. Design/methodology/approach This paper integrates two bodies of thought (i.e. knowledge management and organisational learning) and applies them to SCNs. An abductive research process is used to develop this conceptual taxonomy. Findings The conceptual taxonomy details three archetypical knowledge capabilities – exploitation, exploration and ambidextrous. Those knowledge capabilities are required for efficient, collaborative and agile SCNs, respectively. Research limitations/implications This paper is conceptual and theory-based. The next stages of the research seek to further strengthen the explanatory value of the taxonomy through empirical validation. Practical implications The taxonomy developed in this paper provides a valuable and pragmatic tool for managerial decision-making in the context of SCNs. Specifically, it provides a roadmap for practitioners since the study develops an understanding of the relationship between knowledge capabilities and types of SCNs. Originality/value This is one of the earliest studies that attempt to unearth requisite knowledge capabilities for different types of SCNs.

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