Lean resilience: AURA (Active Usage of Resilience Assets) framework for post-COVID-19 supply chain management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dmitry Ivanov

PurposeSupply chain resilience capabilities are usually considered in light of some anticipated events and are as passive assets, which are “waiting” for use in case of an emergency. This, however, can be inefficient. Moreover, the current COVID-19 pandemic has revealed difficulties in the timely deployments of resilience assets and their utilization for value creation. We present a framework that consolidates different angles of efficient resilience and renders utilization of resilience capabilities for creation of value.Design/methodology/approachWe conceptualise the design of the AURA (Active Usage of Resilience Assets) framework for post-COVID-19 supply chain management through collating the extant literature on value creation-oriented resilience and practical examples and complementing our analysis with a discussion of practical implementations.FindingsBuilding upon and integrating the existing frameworks of VSC (Viable Supply Chain), RSC (Reconfigurable Supply Chain) and LCNSC (Low-Certainty-Need Supply Chain), we elaborate on a new idea in the AURA approach – to consider resilience as an inherent, active and value-creating component of operations management decisions, rather than as a passive “shield” to protect against rare, severe events. We identify 10 future research areas for lean resilience integrating management and digital platforms and technology.Practical implicationsThe outcomes of our study can be used by supply chain and operations managers to improve the efficiency and effectiveness by turning resilience from passive, cost-driving assets into a value-creating, inclusive decision-making paradigm.Originality/valueWe propose a novel approach to bring more dynamics to the notion of supply chain resilience. We name our approach AURA and articulate its two major advantages as follows: (1) reduction of disruption prediction efforts and (2) value creation from resilience assets. We offer a discussion on ten future research directions towards a lean resilience.

2020 ◽  
Vol 40 (7/8) ◽  
pp. 1153-1176 ◽  
Author(s):  
Yujia Han ◽  
Nigel David Caldwell ◽  
Abhijeet Ghadge

PurposeSocial network analysis (SNA) seeks to manage the connections between entities through investigating and understanding behaviours and relationships. This study demonstrates the increasing relevance of social network approaches to solving contemporary and looming operations management (OM) and supply chain management (SCM) problems; including the coordination operations challenges raised by increased connectivity.Design/methodology/approachThe systematic literature review approach adopted here examines 63 papers in OM and SCM published between 2000 and 2019. To-date OM reviews on SNA have focussed on discussing archetypal supply chains, what differentiates this study is the focus on how value was created in other forms of chains and operations.FindingsThis study reveals that current SNA adoption in OM is dominated by a manufacturing style focus on linear, sequential value creation, with a resulting focus only on sequential interdependence. SNA studies on reciprocally co-ordinated value creation (e.g. many service and network operations) are shown to have been neglected and are linked to a new agenda on contemporary management issues.Research limitations/implicationsBeyond encouraging the use of SNA, this study seeks to re-orient SNA approaches towards how contemporary services and networks create value.Originality/valueThrough adopting a unique combination of approaches and frameworks, this study challenges extant work to offer a substantially revised agenda for SNA use in Operations and Supply Chain Management.


Author(s):  
Robert Glenn Richey ◽  
Tyler R. Morgan ◽  
Kristina Lindsey-Hall ◽  
Frank G. Adams

Purpose Journals in business logistics, operations management, supply chain management, and business strategy have initiated ongoing calls for Big Data research and its impact on research and practice. Currently, no extant research has defined the concept fully. The purpose of this paper is to develop an industry grounded definition of Big Data by canvassing supply chain managers across six nations. The supply chain setting defines Big Data as inclusive of four dimensions: volume, velocity, variety, and veracity. The study further extracts multiple concepts that are important to the future of supply chain relationship strategy and performance. These outcomes provide a starting point and extend a call for theoretically grounded and paradigm-breaking research on managing business-to-business relationships in the age of Big Data. Design/methodology/approach A native categories qualitative method commonly employed in sociology allows each executive respondent to provide rich, specific data. This approach reduces interviewer bias while examining 27 companies across six industrialized and industrializing nations. This is the first study in supply chain management and logistics (SCMLs) to use the native category approach. Findings This study defines Big Data by developing four supporting dimensions that inform and ground future SCMLs research; details ten key success factors/issues; and discusses extensive opportunities for future research. Research limitations/implications This study provides a central grounding of the term, dimensions, and issues related to Big Data in supply chain research. Practical implications Supply chain managers are provided with a peer-specific definition and unified dimensions of Big Data. The authors detail key success factors for strategic consideration. Finally, this study notes differences in relational priorities concerning these success factors across different markets, and points to future complexity in managing supply chain and logistics relationships. Originality/value There is currently no central grounding of the term, dimensions, and issues related to Big Data in supply chain research. For the first time, the authors address subjects related to how supply chain partners employ Big Data across the supply chain, uncover Big Data’s potential to influence supply chain performance, and detail the obstacles to developing Big Data’s potential. In addition, the study introduces the native category qualitative interview approach to SCMLs researchers.


Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.


2018 ◽  
Vol 15 (3) ◽  
pp. 265-287 ◽  
Author(s):  
Bhavana Mathur ◽  
Sumit Gupta ◽  
Makhan Lal Meena ◽  
G.S. Dangayach

PurposeThe purpose of this paper is to examine the causal linkages among supply chain practices, effectiveness of supply chain performance (SCP) and organizational performance (OP) in Indian healthcare industries.Design/methodology/approachThis paper is helpful in developing a framework for linking a healthcare supply chain practice to its OP, and thus identifies how such a linkage can be connected to the effectiveness of SCP. Such effort also enables the authors to derive a set of recommended supply chain practices for SC performance.FindingsFrom the literature review, this paper finds that, in the context of Indian healthcare industries, efficient SC performance may play a critical role for overall OP improvement, as there is a close interrelationship between supply chain management (SCM) practices and SCP that may have a more significant effect on OP improvement.Research limitations/implicationsThe principle limitation of the paper is that it is performed only in a particular industry and with a questionnaire survey which could be extended in future for other industries also. Another limitation of the paper is that it is focused only on the SCP of medical device and equipment supply chain which is a small portion of the whole healthcare supply chain, and therefore requires further research covering various other domains of healthcare supply chain. Another limitation of the study is that the sample survey has been taken from only one respondent per company at one point of time which may create biasness in the results. Thus, future research should collect data through multiple members from the organization.Practical implicationsThis study contributes to know the effect of SCM practices on healthcare SCP and provides a practical and useful tool to evaluate the extent of effectiveness of SCP and finally their impact on the healthcare OP. Finally, this study provides conceptual and descriptive literature regarding SCM practices that leads to improvement in healthcare performance.Social implicationsThis study adds to the knowledge on healthcare SCM performance by exploring the relationship between supply chain practices, healthcare SCP and healthcare OP and by developing and testing a research framework thus help in improving patient satisfaction.Originality/valueThis study attempts to show how the potential benefits of supply chain practices can no longer be ignored in healthcare supply chain.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rakesh R. Menon ◽  
V. Ravi

Purpose World over organizations are focusing on sustainable goals, where along with economic success their role in protecting the planet and people are becoming important. Whilst transforming the supply chain into a sustainable one, there would be some barriers which might hinder this process. This paper aims to study these barriers in the context of the electronics industry so that organizations can better implement sustainable supply chain programs. Design/methodology/approach In this research, barriers affecting sustainability implementation in the electronics supply chain are shortlisted from literature review and experts’ opinion. Using the combined methodology of Grey DEMATEL, the causal factors, the effect factors and degree of prominence of barriers is found out. The overall relationship among barriers is established by a diagraph. Sensitivity analysis is performed to check the robustness of the results. Findings It is found that lack of regulation and guidance from authorities is the primary causal barrier affecting operations of sustainable supply chain management. There are five barriers which fall in the influenced group and among them, complexity in measuring and monitoring sustainability practices has the largest net effect value on the implementation of a sustainable supply chain. The barrier having the highest correlation with other barriers is the high cost for disposal of hazardous wastes. The implications of these findings on managers and academicians is explored in the study. Research limitations/implications In this research, the number of barriers shortlisted is limited to 11 in the context of the electronics supply chain. More factors could be added in future research based on the industry being studied. Originality/value The research analyses 11 barriers under categories of policy, technology, financial and human resources in the Indian electronics industry by evaluating the cause and effect group of barriers. These results can guide policymakers of the electronic sector and industry for mitigating barriers during the implementation of sustainable programs.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vivek Roy

PurposeSupply chain traceability and supply chain visibility have become a critical element for the effective management of contemporary complex supply chains. At their core is information sharing, which has been acknowledged as a key prerequisite for logistics and supply chain performance, but whose notional underpinnings have not been delineated fully, leading to interchangeable deployment of these terms. Addressing the shortcoming, this paper aims to establish a contrast between the two notions.Design/methodology/approachDrawing from systematic review protocols, a multi-disciplinary review scope is constructed wherein the synthesis is strategized to primarily channel implications for the scholarship of logistics and supply chain management. The review is aimed at addressing two research objectives: (1) how the notions of traceability and visibility in supply chain management develop contrast in terms of their thematic emphasis and (2) to attain an integrative understanding of the notional convergence and divergence between supply chain traceability and visibility for raising strategic recommendations.FindingsThe review outcomes help contrast both the convergence and the divergence between traceability and visibility in the supply chain environment, and the differentiated but fundamental role that information sharing plays within these notions to outline why they are not interchangeable.Originality/valueThe originality of the findings lies in the conceptual synthesis of the relevant literature from both technological and non-technological perspectives to ultimately draw logistics and supply chain management implications. The review also points out key strategic considerations to demarcate the notional boundaries of traceability and visibility in future research.


Author(s):  
David Makepeace ◽  
Peter Tatham ◽  
Yong Wu

Purpose The purpose of this paper is to compare perspectives on humanitarian logistics (HL) and supply chain management (SCM) among programmes and logistics/support staff. Design/methodology/approach Underpinned by services supply chain management (SSCM) theory, a single case study of a leading international non-governmental organisation is presented based on a web-based survey of the organisation’s global operations staff, supplemented by semi-structured interviews conducted with senior representatives. Findings The study is believed to be the first to consider the different perspectives of programmes and logistics staff on the interpretation of logistics and SCM. The results indicate both significant divergence between the views of these two cohorts, as well as a general lack of clarity over the concept of SCM, its relationship with logistics and the cross-functional nature of SCM. Research limitations/implications Insufficient responses from programme staff limit the generalisability of the findings. Suggestions for future research include further examination of the potential of applying SSCM and demand chain management concepts to the humanitarian context. Practical implications The results support the notion that a broader, more strategic interpretation of SCM, more clearly distinguished from the practice of HL, may assist in breaking down perceived jurisdictional boundaries, bridging the gap between programmes and logistics teams, and strengthening demand-chain influences and the “voice of the beneficiary”. Originality/value By taking into account the views of non-logisticians, a broader, cross-functional interpretation of SCM is offered leading to revised definitions for both SCM and HL within this sector, together with a framework that integrates SCM across humanitarian relief and development contexts.


2017 ◽  
Vol 37 (11) ◽  
pp. 1600-1624 ◽  
Author(s):  
Robert Klassen ◽  
Sara Hajmohammad

Purpose In operations and supply chain management, time is largely one-dimensional – less is better – with much effort devoted to compressing, efficiently using, and competitively exploiting clock-time. However, by drawing on other literatures, the purpose of this paper is to understand implications for the field of operations management if we also emphasize how humans and organizations experience time, termed process-time, which is chronicled by events and stages of change. Design/methodology/approach After a brief review, the limitations of the recurrent time-oriented themes in operations management and the resulting short-termism are summarized. Next, sustainability is offered as an important starting point to explore the concept of temporality, including both clock- and process-time, as well as the implications of temporal orientation and temporal conflict in supply chains. Findings A framework that includes both management and stakeholder behavior is offered to illustrate how multiple temporal perspectives might be leveraged as a basis for an expanded and enriched understanding of more sustainable competitiveness in operations. Social implications Research by others emphasizes the importance of stakeholders to competitiveness. By recognizing that different stakeholder groups have varying temporal orientations and temporality, managers can establish objectives and systems that better reflect time-based diversity and diffuse temporal conflict. Originality/value This paper summarizes how time has been incorporated in operations management, as well as the challenges of short-termism. Sustainability forms the basis for exploring multiple perspectives of time and three key constructs: temporal orientation, temporality, and temporal conflict. A framework is proposed to better incorporate temporal perspectives as a basis for competitiveness in operations and supply chain management.


2019 ◽  
Vol 39 (6/7/8) ◽  
pp. 887-912 ◽  
Author(s):  
Samuel Fosso Wamba ◽  
Shahriar Akter

Purpose Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator. Design/methodology/approach The study draws on the emerging literature on big data, the resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model. Findings The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented. Originality/value The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.


2017 ◽  
Vol 37 (7) ◽  
pp. 898-926 ◽  
Author(s):  
Thomas F. Burgess ◽  
Paul Grimshaw ◽  
Luisa Huaccho Huatuco ◽  
Nicola E. Shaw

Purpose The purpose of this paper is to address the following research question: how do the interlocking editorial advisory boards (EABs) of operations and supply chain management (OSCM) journals map out the field’s diverse academic communities and how demographically diverse is the field and its communities? Design/methodology/approach The study applies social network analysis (SNA) to web-based EAB data for 38 journals listed under operations management (OM) in the 2010 ABS Academic Journal Quality Guide. Findings The members of EABs of the 38 journals are divided into seven distinct communities which are mapped to the field’s knowledge structures and further aggregated into a core and periphery of the network. A burgeoning community of supply chain management academics forms the core along with those with more traditional interests. Male academics affiliated to the US institutions and to business schools predominate in the sample. Research limitations/implications A new strand of research is opened up connecting journal governance networks to knowledge structures in the OSCM field. OM is studied separately from its reference and associated disciplines. The use of the ABS list might attract comments that the study has an implicit European perspective – however the authors do not believe this to be the case. Practical implications The study addresses the implications of the lack of diversity for the practice of OM as an academic discipline. Social implications The confirmation of the dominance of particular characteristics such as male and US-based academics has implications for social diversity of the field. Originality/value As the first study of its kind, i.e. SNA of EAB members of OSCM journals, this study marks out a new perspective and acts as a benchmark for the future.


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