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PurposeThis paper aims to investigate Supply Chain (SC) Performance Measurement Systems (PMSs) (SCPMSs) that are suitable and applicable to evaluate SC performance during unexpected events such as global pandemics. Furthermore, the contribution of Industry 4.0 Disruptive Technologies (IDTs) to implement SCPMSs during such Black Swan events is investigated in this study.Design/methodology/approachThe research methodology is based upon a novel qualitative and quantitative mixed-method. A Systematic Literature Review (SLR) was initially employed to identify two complete lists of SCPMSs and IDTs. Then, a novel Interval-Valued Intuitionistic Hesitant-Fuzzy (IVIHF)-Delphi method was firstly developed in this paper to screen the extracted SCPMSs. Afterward, the Propriety, Economic, Acceptable, Resource, Legal (PEARL) indicator of the Hanlon method was innovatively applied to prioritize the identified IDTs for each finalized SCPMS.FindingsTwo high-score SCPMSs including the SC operations reference (SCOR) model and sustainable SCPMS were recommended to improve measuring the performance of the pharmaceutical SC of emerging economies such as Iran in which the societal, biological and economic issues were undeniable, particularly during unexpected events. Employing nine IDTs such as simulation, big data analytics, cloud technologies, etc., would facilitate implementing sustainable SCPMS from distinct perspectives.Originality/valueThis is one of the first papers to provide in-depth insights into determining the priority of contribution of IDTs in applying different SCPMSs during global pandemics. Proposing a novel multi-layer mixed-methodology involving SLR, IVIHF-Delphi, and the PEARL indicator of the Hanlon method is another originality offered by this paper.
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[...]it becomes essential to understand the PM aspects in the face of emergency situations such as COVID-19. Since the seminal article by Benita Beamon proposing new performance measures for evaluating supply chain performance, the literature has evolved. [...]the guest editors would also like to thank the authors for their contributions and for choosing our special issue as a relevant platform to communicate their research works. The insights drawn from this SI will provide them with effective guidance to help them design, implement and improve performance measurement systems capable of effectively measuring different supply chain processes and issues during unexpected and disruptive events.Table 1 Articles published in this special issue Article Title Purpose 1 Airline catering supply chain performance during pandemic disruption: a Bayesian network modelling approach This study aims to consider the impact of implementing Bayesian network (BN) modelling to measure SC performance in the airline catering during the pandemic context 2 The role of Industry 4.0 technologies on performance measurement systems of supply chains during global pandemics: an interval-valued intuitionistic hesitant fuzzy approach This study aims to investigate supply chain performance measurement systems (SCPMSs) that are suitable and applicable to evaluate SC performance during unexpected events such as global pandemics. [...]it considers the contribution of Industry 4.0 Disruptive Technologies (IDTs) to implement SCPMSs during such black swan events 3 A systematic literature review on supply chain resilience in SMEs: learnings from COVID-19 pandemic This paper presents the state-of-art literature on supply chain resilience in SMEs in the context of the coronavirus (COVID-19) pandemic and provides a comprehensive view of insights gained and gaps identified and suggests potential areas of future research 4 A proposed circular-SCOR model for supply chain performance measurement in the manufacturing industry during COVID-19 This study aims to determine which supply chain performance criteria come to the fore for the company under consideration to accelerate the transformation into high performance and circularity in supply chains, considering that the ability to analyse supply chain performances and ensure circularity in supply chains has become one of the factors whose importance has increased rapidly with COVID-19 5 How do food supply chain performance measures contribute to sustainable corporate performance during disruptions from the COVID-19 pandemic emergency?
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The recent unprecedented situations like the COVID-19 pandemic and the Russia-Ukraine war have severely impacted food security and grain production in emerging economies. These countries can try to import grains to enhance secure food security, but this will strain their dollar reserve and endanger their financial stability. Under such circumstances, the adoption of sustainable grain storage practices is essential to reducing the unusual gap between grain production and grain availability. This research, therefore, explores the key factors that may affect the stability of stored grains to promote agricultural sustainability and food security in emerging economies. First, the study identifies the significant factors that influence the stability of stored grains from an emerging economy perspective. Then, the study employs an integrated approach consisting of Pareto analysis, fuzzy-based Total Interpretive Structural Modeling (TISM), and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis. Based on the literature review and expert feedback, nineteen factors were initially identified. After employing Pareto analysis, the top thirteen factors have been further analyzed using fuzzy TISM- fuzzy MICMAC to examine their interrelationships. The study findings indicate that "Proper training on advanced storage operations” is the most significant factor influencing sustainable grain storage operations. The study insights can help practitioners to focus more on the crucial aspects of the grain storage operation and can assist the policymakers and industry leaders of emerging economies in strategic decision-making to achieve agricultural sustainability and thus improve food security.
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PurposeThe purpose of this study is to propose a framework comprising supply chain (SC) resilience strategies to handle low-frequency high impact disruptive events. This study also evaluates the impact of SC resilience strategies' implementation on the triple bottom line of SC sustainability.Design/methodology/approachA hybrid three-phased method is proposed to meet the research objectives of this study. In the first phase, this study uses the Delphi technique to select SC resilience strategies and SC sustainability dimensions. In the second phase, the best–worst method is used to assess the relative weights of resilience strategies. Finally, in the third stage, summative Likert scoring is used to understand the impact of SC resilience strategies on the SC sustainability triple bottom line.FindingsThe outcomes reveal that firms give due importance to inter-organizational relationships and supplier nearness for supply continuity. In the sustainability context, the obtained scores proved that resilience strategies have the maximum impact on economic sustainability, followed by environmental sustainability.Research limitations/implicationsTo the best of the authors' knowledge, this is the first study that examines aspects of SC resilience strategies and quantifies their impact on the triple bottom line of SC sustainability. This study is specific to the automobile sector;sectoral diversity may expose similarities and dissimilarities in the approach.Practical implicationsThe outcome establishes that supplier–manufacturer relationships need to be strengthened further to tackle any future uncertainties. Besides, supplier location decisions may also be revisited. The strategies proposed will aid SC managers to make informed decisions to prepare for uncertain events.Originality/valueIn the face of uncertain events, often SCs trade-off sustainability in pursuit of resilience. It manifests that resilience is a prerequisite for SC sustainability. While planning SCs, organizations often choose either sustainability or resilience. Thus, this study acknowledges the need to develop effective SC resilience strategies that are in harmony with the sustainability agenda.
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[...]none of these studies has explored maturity in terms of global supply chains and their response capacity amid impacting and unexpected events such as COVID-19. [...]this special issue sought to publish papers that clearly demonstrate the practical and theoretical impacts of maturity in global supply chains in the context of sudden disruptive events such as COVID-19. The second article, which is titled “A systematic review of AR/VR in operations and supply chain management: maturity, current trends and future directions” has brought a relevant contribution to the issue by providing a systematic insight into the current maturity of augmented reality (AR) and virtual reality (VR) in operations and supply chain management (OSCM), considering the context of COVID-19. The research findings demonstrated that AR/VR are still in the introduction and growth phase and that they have yet to reach their maturity. [...]the study has also shown that there is a limited utilization of AR/VR as drivers in facilitating sustainable practices in OSCM and that the potential applications of these technologies for the recovery phase of supply chains in the post-COVID-19 era require special attention. The five papers on this special issue have approached maturity management by considering the context of the COVID-19 pandemic from different perspectives and making the following contributions: determining the resilience and agility factors that increase the maturity of fast fashion supply chains;establishing how disruptive technologies such as virtual and AR can contribute to developing more resilient and mature supply chains;identifying research and practice gaps in supply chain resilience by connecting this topic with cost-effective and sustainable supply chain themes and showing how these key strategies enhance supply chain maturity and survivability;studying strategies focused on supply chain digitalization and integration for enhancing resilience in MOSCs amid a pandemic situation;and determining the impact of different industrial sectors from the lens of their maturity management to the performance response amid the COVID-19 pandemic.
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Purpose This study aims to analyse the resilience of customer demand management post-coronavirus disease 2019, using fast fashion as an example. The paper provides insights for potential applications to micro-, small and medium enterprises (MSMEs). Design/methodology/approach Based on the qualitative analysis and an integrated Plan-Do-Check-Act (PDCA)-decision making trial and evaluation laboratory (DEMATEL)-fuzzy technique for order of preference by similarity to the ideal solution (TOPSIS) methodology of fuzzy multi-criteria decision-making, we explored and prioritised the enablers of resilience management for fast-fashion MSMEs. Findings The results reveal that the highest priority enabler is maintaining customer loyalty. Other enablers are associated with e-commerce endorsement, a customer-focussed assortment of items and flexible store operations. Research limitations/implications The study findings will enable fast-fashion MSMEs to develop effective actions and priorities in operations efforts to promote post-pandemic recovery. Originality/value Despite the importance of the resilience project and the changing fast-fashion customer patterns, only a handful of studies have explored how resilience can be managed in this field. Thus, the findings can contribute to closing this gap in the context of operations resilience research as well as MSME operations.
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PurposeThe purpose of this paper is to evaluate a continuous improvement project (CIP) at a Mexican university designed to increase engineering graduate student loyalty.Design/methodology/approachA plan-do-check-act problem-solving methodology was implemented, and a SERVQUAL survey was conducted on 67 master’s engineering students.FindingsFive factors were found to affect student loyalty: facility cleanliness;faculty teaching skills;evening student services;master’s degree student management roles at work;and master’s degree students’ ages. After the implementation of the improvement and control actions, there was a 7.7% increase in the engineering master’s degree students’ loyalty scores.Research limitations/implicationsHowever, there were several research limitations: data availability (such as student loyalty, student satisfaction and a small master’s degree student population size) and factors outside the CIP’s scope (such as the country’s economic situation, university rankings, master’s programme accreditations and COVID-19).Practical implicationsThe findings from this research study could be used by other higher education institutions (HEIs)to improve student loyalty and as a reference when conducting similar studies in other service organisations such as hospitals and hotels.Originality/valueThis research work took a different approach in assessing student satisfaction and student loyalty in a HEI by using the SERVQUAL survey as the data collection instrument for conducting CIP.