PurposeThe study aims to analyse the impact of Industry 4.0 implementation on supply chains and develop an implementation framework by considering potential drivers and barriers for the Industry 4.0 paradigm.Design/methodology/approachA critical literature review is performed to explore the key drivers and barriers for Industry 4.0 implementation under four business dimensions: strategic, organisational, technological and legal and ethical. A system dynamics model is later developed to understand the impact of Industry 4.0 implementation on supply chain parameters, by including both the identified driving forces and barriers for this technological transformation. The results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains.FindingsIndustry 4.0 is predicted to bring new challenges and opportunities for future supply chains. The study discussed several implementation challenges and proposed a framework for an effective adaption and transition of the Industry 4.0 concept into supply chains.Research limitations/implicationsThe results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains.Practical implicationsThe study is expected to benefit supply chain managers in understanding the challenges for implementing Industry 4.0 in their network.Originality/valueSimulation analysis provides examination of Industry 4.0 adoption in terms of its impact on supply chain performance and allows incorporation of both the drivers and barriers of this technological transformation into the analysis. Besides providing an empirical basis for this relationship, a new conceptual framework is proposed for Industry 4.0 implementation in supply chains.
PurposeThis paper examines Supply Chain Risk Management (SCRM) from a holistic systems thinking perspective by considering different typologies that have evolved as a result of earlier research. The aim of the research reported in this paper is the identification of important strategic changes in the field and to outline future requirements and research opportunities in SCRM. Design/methodology/approachThe Systematic Literature Review (SLR) methodology employed by our research was used to evaluate and categorise a literature survey of quality articles published over a period of 10 years (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010). Additionally, the findings from the SLR have been strengthened through cross validation against results obtained from an associated text mining activity. FindingsThe SLR methodology has provided a rich, unbiased and holistic picture of the advances in the field of SCRM. Consequently, important new research areas have been identified based on a multiperspective descriptive and thematic data analysis. In addition, our analysis based on evolved typologies indicates a growth of SCRM from a nascent to a fairly established activity over the past decade. Practical implicationsThe systematic approach undertaken for the literature review will provide future researchers and managers with an insightful understanding of the scope of the SCRM field. Also, the literature review provides important clues on new research directions for SCRM through identification of gaps in current knowledge. Originality/valueThe holistic approach to SCRM was found to be an important missing link in earlier literature surveys. The outcome of the Systematic Literature Review reported in this paper has provided critical insights into the present and future scope of the SCRM field. The identified research insights, gaps and future directions will encourage new research techniques with a view to managing the risks in the globalized supply chain environment. KeywordsSupply Chain Risk Management, Systematic Literature Review, Text Mining. Paper type Literature review INTRODUCTIONToday's e-world has led to an information explosion from the countless data sources that appear on a daily basis. Supply Chain Risk Management (SCRM) is an area that has recently been receiving a great deal of interest from academics and practitioners. SCRM is believed to be in an emerging and promising new field by researchers (Sodhi et al., 2012) but has a number of open-ended boundaries in its scope. Various authors have carried out a literature review on SCRM at various stages over the last 10 years (e.g. Juttner et al., 2003;Vanany et al., 2009;Rao and Goldsby, 2009) who provide a good platform for researchers and practitioners trying to make sense of the on-going research and identify the current state-of-art. However, narrative literature reviews are believed to lack thoroughness and rigour (Tranfield et al., 2003). On the contrary, evidence based reviews are considered to be more thorough and transparent as they provide...
Purpose -With increasing exposure to disruptions, it is vital for supply chains to manage risks proactively. Prediction of potential failure points and overall impact of these risks is challenging. In this paper, systems thinking concepts are applied for modelling supply chain risks. The purpose of this paper is to develop a holistic, systematic and quantitative risk assessment process for measuring the overall risk behaviour. Design/methodology/approach -A framework for supply chain risk management (SCRM) is developed and tested using an industrial case study. A systematically developed research design is employed to capture the dynamic behaviour of risks. Additionally, a system-based supply chain risk model is conceptualized for risk modelling. Sensitivity modelling results are combined for validating the supply chain risk model. Findings -The systems approach for modelling supply chain risks predicts the failure points along with their overall risk impact in the supply chain network. System-based risk modelling provides a holistic picture of risk behavioural performance, which is difficult to realise through other research methodologies commonly preferred in SCRM research. Practical implications -The developed framework for SCRM is tested in an industry setting for its viability. The framework for SCRM along with the supply chain risk model is expected to benefit practitioners in understanding the intricacies of supply chain risks. The system model for risk assessment is a working tool which could provide a perspective of future disruptive events. Originality/value -A holistic, systematic and quantitative risk modelling mechanism for capturing overall behaviour of risks is a valuable contribution of this research. The paper presents a new perspective towards using systems thinking for modelling supply chain risks.
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