Examining the role of dynamic remanufacturing capability on supply chain resilience in circular economy

2019 ◽  
Vol 57 (4) ◽  
pp. 863-885 ◽  
Author(s):  
Surajit Bag ◽  
Shivam Gupta ◽  
Cyril Foropon
Keyword(s):  
Supply Chain ◽  
Circular Economy ◽  
Sustainable Manufacturing ◽  
Positive Influence ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Supply Chain Networks ◽  
Control Orientation ◽  
Technical Factors ◽  
Market Factors

PurposeWorldwide, facing increasing resources pressure, more and more manufacturing firms aim to circular economy (CE), which is a system characterized by the application of remanufacturing principles and adoption of sustainable manufacturing practices. The purpose of this paper is to investigate the function of remanufacturing capability in influencing supply chain resilience in supply chain networks under the moderating effects of both flexible orientation and control orientation.Design/methodology/approachData were gathered through a survey performed online in South Africa, and 150 participants completed the survey. Participants were mainly industry professionals holding senior administrative positions.FindingsResults indicate that market factors, management factors and technical factors positively influence dynamic remanufacturing capability (DRC). More specifically, on one hand, market factors strongly influence DRC, whereas, on the other hand, both management and technical factors influence at lower level DRC. DRC has a positive influence on supply chain resilience. Flexible orientation is found to positively moderate the effect of DRC on supply chain resilience, whereas control orientation does not exert any moderating effect on DRC and supply chain resilience.Originality/valueThis is one of the first studies that explore research gaps between current vs desired remanufacturing capability requirements to achieve sustainability goals in CE.

Supply chain resilience: an adaptive cycle approach

2020 ◽  
Vol 31 (3) ◽  
pp. 443-463
Author(s):  
Henry Adobor
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Supply Chain Networks ◽  
Adaptive Cycle ◽  
Complex Adaptive ◽  
Adaptive Cycles

PurposeThe purpose of this paper is to develop a conceptual framework for extending an understanding of resilience in complex adaptive system (CAS) such as supply chains using the adaptive cycle framework. The adaptive cycle framework may help explain change and the long term dynamics and resilience in supply chain networks. Adaptive cycles assume that dynamic systems such as supply chain networks go through stages of growth, development, collapse and reorientation. Adaptive cycles suggest that the resilience of a complex adaptive system such as supply chains are not fixed but expand and contract over time and resilience requires such systems to navigate each of the cycles’ four stages successfully.Design/methodology/approachThis research uses the adaptive cycle framework to explain supply chain resilience (SCRES). It explores the phases of the adaptive cycle, its pathologies and key properties and links these to competences and behaviors that are important for system and SCRES. The study develops a conceptual framework linking adaptive cycles to SCRES. The goal is to extend dynamic theories of SCRES by borrowing from the adaptive cycle framework. We review the literature on the adaptive cycle framework, its properties and link these to SCRES.FindingsThe key insight is that the adaptive cycle concept can broaden our understanding of SCRES beyond focal scales, including cross-scale resilience. As a framework, the adaptive cycle can explain the mechanisms that support or prevent resilience in supply chains. Adaptive cycles may also give us new insights into the sort of competences required to avoid stagnation, promote system renewal as resilience expands and contracts over time.Research limitations/implicationsThe adaptive cycle may move our discussion of resilience beyond engineering and ecological resilience to include evolutionary resilience. While the first two presently dominates our theorizing on SCRES, evolutionary resilience may be more insightful than both are. Adaptive cycles capture the idea of change, adaptation and transformation and allow us to explore cross-scale resilience.Practical implicationsKnowing how to prepare for and overcoming key pathologies associated with each stage of the adaptive cycle can broaden our repertoire of strategies for managing SCRES across time. Human agency is important for preventing systems from crossing critical thresholds into imminent collapse. More importantly, disruptions may present an opportunity for innovation and renewal for building more resilience supply chains.Originality/valueThis research is one of the few studies that have applied the adaptive cycle concept to SCRES and extends our understanding of the dynamic structure of SCRES

Achieving supply chain resilience

2016 ◽  
Vol 7 (5) ◽  
pp. 544-562 ◽  
Author(s):  
Santanu Mandal ◽  
Rathin Sarathy ◽  
Venkateshwar Rao Korasiga ◽  
Sourabh Bhattacharya ◽  
Surajit Ghosh Dastidar
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Positive Influence ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Supply Chain Collaboration ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Logistics Capabilities ◽  
Integrated Logistics

Purpose The purpose of this paper is to investigate the inter-relationship among dominant supply chain capabilities of collaboration, flexibility, velocity and visibility and how the same influence supply chain resilience (SCRES) and supply chain performance. Further, the aim is to explore the relationship between integrated logistics capabilities and supply chain capabilities. Design/methodology/approach The proposed hypotheses were tested with survey data collected from 339 supply chain professionals. The collected data were then analyzed with confirmatory factor analysis, and the proposed relationships were tested with structural equation modeling. Findings Integrated logistics capabilities were found to positively influence supply chain collaboration and supply chain visibility. There is a positive influence of each of collaboration, flexibility, visibility and velocity on SCRES. Further, each of these supply chain capabilities positively influences each other to a greater extent. Further, SCRES was found to have a positive influence on supply chain performance. Research limitations/implications Like many other cross sectional studies, this study also suffers from data collected from single respondent per firm. Originality/value The study is significant and holds immense importance for managers and supply chain practitioners because it has suggested them to focus on core supply chain capabilities, for example, collaboration, flexibility, visibility and visibility for developing SCRES. Along with this, it undersigned the growing importance and empirical influence of integrated logistics capabilities in developing these supply chain capabilities and also the positive influence of resilience on supply chain performance.

Supply chain resilience: a dynamic and multidimensional approach

2018 ◽  
Vol 29 (4) ◽  
pp. 1451-1471 ◽  
Author(s):  
Henry Adobor ◽  
Ronald S. McMullen
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
System Optimization ◽  
System Level ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Supply Chain Networks ◽  
Adaptive Capabilities

PurposeThe purpose of this paper is to present a conceptual framework on resilience types in supply chain networks.Design/methodology/approachUsing a complex adaptive systems perspective as an organizing framework, the paper explores three forms of resilience: engineering, ecological and evolutionary and their antecedents and links these to four phases of supply chain resilience (SCRES): readiness, response, recovery, growth and renewal.FindingsResilient supply chains need all three forms of resilience. Efficiency and system optimization approaches may promote quick recovery after a disruption. However, system-level response requires adaptive capabilities and transformational behaviors may be needed to move supply chains to new fitness levels after a disruption. The three resilience types discussed are not mutually exclusive, but rather complement each other and there are synergies and tradeoffs among these resilience types.Research limitations/implicationsThe empirical validation of the theoretical propositions will open up new vistas for supply chain research. Possibilities exist for analyzing and assessing SCRES in multiple and more comprehensive ways.Practical implicationsThe findings of the research can help managers refine their approaches to managing supply chain networks. A more balanced approach to supply chain management can reduce the risks and vulnerabilities associated with supply chain disruptions.Originality/valueThis study is unique as it conceptualizes SCRES in multiple ways, thereby extending our understanding of supply chain stability.

An empirical competence-capability model of supply chain resilience

2017 ◽  
Vol 8 (02) ◽  
pp. 190-208 ◽  
Author(s):  
Santanu Mandal
Keyword(s):  
Supply Chain ◽  
Supply And Demand ◽  
Positive Influence ◽  
Future Research ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Process Compliance ◽  
The Relationship

Purpose This paper aims to investigate the influence of supply and demand competence on supply chain (SC) resilience and its impact on a firm’s operational and relational performance. While the former competence refers to production and supply management-related activities, the latter refers to distribution and demand management-related activities. Within this framework, process compliance, i.e. how well SC management processes are internally executed by the firm’s employees, is observed as an enabler (moderator) on the relationship between SC competence and SC resilience. Further the model also explores the moderating influence of environmental uncertainty (EU) on the linkage between SC resilience and firm performance. Design/methodology/approach Data were collected through a Web-based cross-sectional survey from SC professionals working in different industries at various designations. Further, the collected data were analyzed using partial least squares for hypotheses’ testing. Findings The findings suggest a positive influence of demand- and supply-side competences on SC resilience. Supply chain resilience was also found to have a positive influence on operational and relational performance. Further, process compliance was found to positively moderate the relationship between the competences and resilience. Lastly, the relationship between resilience and performance was found to gain momentum in the presence of EU. Research limitations/implication Data were collected from a single respondent per firm. Hence, future research should attempt to collect data from multiple respondents for increased generalization. Originality/value The study holds significance for academicians and practitioners, as it investigates the importance of supply- and demand-side competences on the development of SC resilience and its impact on performance. This investigation showed that building resilience in a SC is dependent on the degree to which firms are process-compliant. Further, it was empirically proved that resilience’s positive influence on performance increases more with the presence of uncertainties.

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.

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.

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.

Strategic supplier relationships and supply chain resilience: Is digital transformation that precludes trust beneficial?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Murtaza Faruquee ◽  
Antony Paulraj ◽  
Chandra Ade Irawan
Keyword(s):  
Supply Chain ◽  
Problem Solving ◽  
Manufacturing Firms ◽  
Digital Transformation ◽  
Supplier Relationships ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Joint Problem ◽  
The Right ◽  
Joint Problem Solving

PurposeThe purpose of this study is to investigate the role that communication, trust and digital transformation can play in the relationship between joint problem-solving and supply chain resilience. More specifically, the authors try to examine the possibility of digital transformation as a replacement for trust within a joint problem-solving context.Design/methodology/approachA survey instrument was developed and administrated to manufacturing firms within the United Kingdom and the United States. Based on data collected from 291 senior managers, multiple linear regressions were conducted through a customized process model to test the proposed hypotheses.FindingsThe results point to the actual impact of digital transformation being far more complicated than the initial benefits that it appears to bring within a supply chain. Thus, technology is only effective when applied within the right context. The authors showcase that the trio of digital transformation, trust and joint problem-solving can be highly valuable to establish supply chain resilience and that further investigation on the interrelationships between these concepts is warranted.Practical implicationsManufacturing firms that aim to adopt new technologies should not consider advanced digital technologies as an alternative to trust. While digital transformation can improve resource sharing and integration, governance mechanisms–such as trust–will remain the cornerstones of strategic supplier relationships. Therefore, supply chain partners must strive to achieve a balance between trust and the right type of digital technology.Originality/valueThis study contributes to the growing literature focusing on the role that digital transformation can play in developing supply chain capabilities. It adds an early empirical insight on the role of technology and governance in joint problem-solving and supply chain resilience.

An integrated model of supply chain resilience and its impact on supply chain performance under disruption

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shih-Jung Juan ◽  
Eldon Y. Li ◽  
Wei-Hsi Hung
Keyword(s):  
Supply Chain ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Cross Sectional ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Structured Equation Modeling ◽  
Logistic Issue

PurposeThis study aims to explore the relationships among the five components of supply chain (SC) resilience (SCRES): visibility, velocity, flexibility, robustness and collaboration and their impacts on the SC performance under disruption (SCPUD).Design/methodology/approachFive SCRES components are identified from the literature review and data are collected using an web survey from 113 manufacturing companies in Taiwan. The data are analyzed by structured equation modeling with the partial least square solution. Two-stage least-squares (2SLS) regression was used to test the potential endogeneity of SC collaboration (SCC).FindingsThe results reveal that SCC is an exogenous driver of SCRES; it directly affects visibility, velocity, flexibility, robustness and SCPUD. Furthermore, SC flexibility is the only component of SC agility that directly affects SCPUD; it is influenced directly by SC velocity and indirectly by SC visibility through SC velocity. SC visibility is a vital agility component that positively influences SC velocity and SC robustness.Research limitations/implicationsThe data in this study are cross-sectional and the sample size of 113 is relatively small. The relationship between SC robustness and SCPUD needs a longer observation period to reveal. The logistic issue in the shortage of carriers caused by the pandemic has been overlooked.Practical implicationsA firm should enhance its collaboration and flexibility in the SC as they both are the critical antecedents of SC performance (SCP) during the disruption period.Originality/valueThis study integrates visibility, velocity, flexibility, robustness and collaboration into a complete framework of SCRES. The dependent variable, SCPUD, measures SC performance (SCP) under the disruption caused by the COVID-19 pandemic. It is the first study to investigate the associations of the six constructs in a research model.

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