Empirical investigation into impact of IT adoption on supply chain agility in fast food sector in Pakistan

Information technology and supply chain agility are in vogue. The present study aims to investigate the impact of information technology (IT) on supply chain agility and its outcomes such as cost reduction and operational performance in fast food companies' chains. A total of 240 employees from fast food chains were selected as respondents. Data was collected using five-point Likert scale questionnaire developed from previous studies. The statistical results confirmed that adoption of IT is playing a vibrant role in achieving supply chain agility and supply chain agility helps to reduce cost and improves operational performance of firms. The study model provides a useful framework to examine the impact of IT adoption on supply chain agility and its outcomes. In conclusion, the firms have to focus on their supply chain management and make it efficient and agile by implementing the advanced technologies to gain operational performance. Implications have been discussed.

The role of lean in healthcare during COVID-19 pandemic

PurposeThe impact of the COVID-19 pandemic on healthcare operations has raised questions about the applicability and capacity of the lean approach to respond to critical events. Thus, with a dearth of studies addressing this issue, this study aims to understand the role of lean in healthcare operations under the disruptive impact of the COVID-19 pandemic.Design/methodology/approachDrawing on a case study carried out in an emergency department in Brazil during the COVID-19 outbreak, the author presents results from semi-structured interviews and document analysis.FindingsThe results show three prominent themes that respond to this study's purpose: lean applicability during the pandemic, lean challenges during the pandemic and the pandemic impact on the lean processes. Furthermore, the study underscores that lean is not the panacea to operational problems caused by the pandemic in healthcare organisations, but it eases the impact on their operations. Finally, this study contributes to the discipline of operations management and highlights the need to rethink lean applications during disruptive events, focusing on flexibility, adaptability and patients' needs.Research limitations/implicationsThe literature addressing the pandemic impact on healthcare operations is still new and emerging;therefore, it is possible that some of the studies that are under review and could contribute to this study were not considered.Practical implicationsThe study provides a better understanding of the lessons learned from the real-world experiences gained during the pandemic, helping managers to make informed decisions when developing contingency plans to improve healthcare readiness and responsiveness under crisis conditions (e.g. untenable demand and constrained capacity).Originality/valueGiven the contemporary nature of this pandemic, only few emerging studies addressing the impact of the pandemic on lean healthcare operations are available and scholars are calling for more empirical studies. Furthermore, there is an increasing criticism and scepticism about the applicability of lean in healthcare during a pandemic. Thus, this research both provides original contributions by responding to scholars' calls for novel research in this area and further contributes towards filling the void in the literature.

Would compensation be necessary? The importance of service recovery strategy in e-retail delivery problems

PurposeThis study examines the different effects of service recovery strategies on customers' future intentions when online shoppers were experiencing delivery failures. Two types of problem severity are evaluated: wrong-product delivery (issues with the product quality or quantity) and late delivery. This study also investigates the impact of service criticality on the relationship between service recovery strategies and customers' future intentions.Design/methodology/approachThis study employs experimental research with 123 online shoppers as participants. Following the results, a subsequent test is conducted to examine the effect of participants' demographics on future intentions. Finally, the current study elaborates the findings using qualitative research, interviewing both sides impacted by the service failures: online shoppers and e-retail managers.FindingsThe findings show that complementing product replacement with monetary compensation is the most effective strategy to improve repurchase intention after a dissatisfaction moment. This effect is indifferent to service criticality and severity. Age influences the participants' repurchase intentions, in which younger people are less tolerant of service failures. In contrast, gender and education level do not provide any differences. To prevent delivery failures, managers participating in this study suggest several best practices regarding systems and infrastructure, people and coordination and collaboration with logistics partners.Research limitations/implicationsThe study mainly examines a limited type of service and service failures. Further studies are encouraged to expand the variables and scenarios, as well as to employ more distinctive methods, to enrich the findings related to recovery strategy in the e-commerce industry.Practical implicationsGiven proper compensation, service failure could create momentum for online retailers to boost customer loyalty. This study suggests that managers design the most effective service recovery to win customers back to the business.Originality/valueThis paper enriches the literature related to a service recovery strategy, particularly within the online shopping context.

Model‐informed health system reorganization during emergencies

The COVID‐19 pandemic presented the world to a novel class of problems highlighting distinctive features that rendered standard academic research and participatory processes less effective in properly informing public health interventions in a timely way. The urgency and rapidity of the emergency required tight integration of novel and high‐quality simulation modeling with public health policy implementation. By introducing flexibility and agility into standard participatory processes, we aligned the modeling effort with the imposed reality of the emergency to rapidly develop a regional system dynamics (SD) model integrating diverse streams of data that could reliably inform both health system restructuring and public health policy. Using Lombardy data, our SD model was able to generate early projections for the diffusion of the pandemic in neighbor Ticino. Later, it projected the timing and size of peak patient demand. Our work also supported the need for reorganization of the healthcare system and volume flexibility strategies increasing hospital capacity (e.g., intensive care unit [ICU] and ward beds, medical and nursing staff, and oxygen supply) in Ticino. Counterfactual analyses quantify the impact of the decisions supported by our interventions. Our research contributes to our understanding of volume flexibility strategies used by healthcare organizations during emergencies, highlighting the critical role played by available response time in the deployment of strategies that either prioritize critical services or leverage available resources. It also contributes to the literature on participatory systems modeling by describing a flexible and agile participatory process that was successfully deployed in a rapidly evolving high‐stakes emergency.

The COVID-19 Influence on the Global Business Environment Research: JMI

(2021) discuss how supply chain management systems can survive during the global pandemic crisis. See, for example, the impact of the pandemic on the role of operations management (Gupta et al., 2021), marketing management (Syaifullah et al., 2021), financial management (Vasileiou, 2021), human resource management (Onwuegbuna e,t al., 2021), and organizational entrepreneurship and creativity (Thukral, 2021). "The Business Model of Sustainable Competitive Advantage through Strategic Leadership Capabilities and Knowledge Management Processes to Overcome COVID-19 Pandemic."

The viewer value co-creation process on sports live streaming platforms

PurposeThe Sports Live Streaming Platforms (SLSPs) have taken centre stage in broadcasting sporting events. This study adopts the value creation sphere (VCS) model and the service dominant logic (SDL) to unpack the value co-creation process on SLSPs.Design/methodology/approachA case study with one of the most representative SLSPs in China, involving the netnographic approach and in-depth interviews, was conducted.FindingsThis study redefines the value co-creation spheres in the context of SLSPs and identifies four actors who contribute to viewers' value perceptions. The findings show that viewers' values can be co-created individually and collectively with other actors in both the customer sphere and the joint sphere.Originality/valueThis study extends the theoretical boundary of value co-creation into the context of SLSPs. The study findings help SLSPs managers and decision makers understand the value co-creation process to gain competitive advantages and enhance the sustainability of their services.

Breaking out of the pandemic: How can firms match internal competence with external resources to shape operational resilience?

This study explores how firms sought to effectively match their internal competence with external resources from the supply chain network to improve operational resilience (OR) during the COVID‐19 pandemic. Drawing upon matching theory, this study provides an internal–external matching perspective based on flexibility–stability features of OR to explain the operational mechanisms underlying the different matchings between internal flexibility (i.e., product diversity)/stability (i.e., operational efficiency) and external flexibility (i.e., structural holes)/stability (i.e., network centrality). We find that more heterogeneous matchings between internal (external) flexibility and external (internal) stability have a complementary effect that enhances OR, whereas more homogeneous matchings between internal flexibility (or stability) and external flexibility (or stability) have a substitutive effect that reduces OR. This study provides valuable contributions to research focusing on the supply chain, organizational resilience, and operations management.

A reinforcement learning-based optimal control approach for managing an elective surgery backlog after pandemic disruption.

Contagious disease pandemics, such as COVID-19, can cause hospitals around the world to delay nonemergent elective surgeries, which results in a large surgery backlog. To develop an operational solution for providing patients timely surgical care with limited health care resources, this study proposes a stochastic control process-based method that helps hospitals make operational recovery plans to clear their surgery backlog and restore surgical activity safely. The elective surgery backlog recovery process is modeled by a general discrete-time queueing network system, which is formulated by a Markov decision process. A scheduling optimization algorithm based on the piecewise decaying [Formula: see text]-greedy reinforcement learning algorithm is proposed to make dynamic daily surgery scheduling plans considering newly arrived patients, waiting time and clinical urgency. The proposed method is tested through a set of simulated dataset, and implemented on an elective surgery backlog that built up in one large general hospital in China after the outbreak of COVID-19. The results show that, compared with the current policy, the proposed method can effectively and rapidly clear the surgery backlog caused by a pandemic while ensuring that all patients receive timely surgical care. These results encourage the wider adoption of the proposed method to manage surgery scheduling during all phases of a public health crisis.

Agriculture value chain sustainability during COVID-19: an emerging economy perspective

PurposeAgriculture value chains (AVCs) have experienced unprecedented disruption during the COVID-19 pandemic, with lockdowns and stringent social distancing restrictions making buying and selling behaviours complex and uncertain. This study aims provide a theoretical framework describing the stakeholder behaviours that arise in severely disrupted value chains, which give rise to inter-organisational initiatives that impact industry sustainability.Design/methodology/approachA mixed-methods approach is adopted, in which uncertainty theory and relational governance theory and structured interviews with 15 AVC stakeholders underpin the initial conceptual model. The framework is empirically validated via partial least squares structural equation modelling using data from an online survey of 185 AVC stakeholders based in India.FindingsThe findings reveal that buyer and supplier uncertainty created by the COVID-19 lockdowns gives rise to behaviours that encourage stakeholders to engage in relational governance initiatives. Progressive farmers and other AVC stakeholders welcome this improved information sharing, which encourages self-reliance that positively impacts agricultural productivity and sustainability.Practical implicationsThe new framework offers farmers and other stakeholders in developing nations possibilities to sustain their AVCs even in dire circumstances. In India, this also requires an enabling ecosystem to enhance smallholders' marketing power and help them take advantage of recent agricultural reforms.Originality/valueResearch is scarce into the impact of buyer and seller behaviour during extreme supply chain disruptions. This study applies relational governance and uncertainty theories, leading to a proposed risk aversion theory.

Investigating supply chain research trends amid Covid-19: a bibliometric analysis: MRN

PurposeThe purpose of this study is to analyse the effects of Covid-19 on the supply chain management and to provide an agenda for future research in this context.Design/methodology/approachBy using the SCOPUS database, a total of 191 articles of 1,323 research articles were selected for further analysis. Bibliometric analysis and science mapping were performed which included author influence, affiliation statistics, keywords, citations, co-citation and co-word analysis.FindingsFive clusters were identified in the context of supply chain management under Covid-19: managing disruptions in global food supply chains (SCs), using Industry 4.0 technologies for sustainable SCs, collaboration across the supply network for contingency situations, coping with disease outbreaks in personal and professional lives and countering the ripple effect of pandemics. These clusters are potential areas for future research.Originality/valueLiterature is still rare about SC practices amid the Covid-19 crisis. Therefore, this study attempts to provide insights and fill the current gaps on this field.

The role of innovativeness and supply chain agility in the Australian service industry: a dynamic capability perspective

PurposeThis paper aims to investigate the conditional indirect effect of innovativeness on performance via supply chain agility (SCA) in the service industry at higher and lower collaborative relationships.Design/methodology/approachThe hypothesised model is operationalised with survey data from 245 Australian service firms collected via LinkedIn and analysed using structural equation modelling and fuzzy set qualitative comparative analysis (fsQCA).FindingsThe analysis found that SCA significantly mediates the relationship between innovativeness and performance. Further, the conditional indirect effect of innovativeness on performance via SCA was significant when the collaborative relationship was high. Results also revealed that a configuration of both innovativeness and agility better predicts performance.Originality/valueThis study is an early attempt to investigate SCA in service industries by scrutinizing SCA from an innovative point of view. While previous studies have demonstrated the role of innovativeness in enhancing a firm's performance, this study explores this link further by investigating the conditional indirect effect of innovativeness on performance via SCA at different levels of collaborative relationships.

Antecedents and consequences of blockchain adoption in supply chains: a systematic literature review

PurposeDespite the availability of several published reviews on the adoption of blockchain (BC) in supply chain (SC), at present, the literature lacks a comprehensive review incorporating the antecedents and consequences of BC adoption. Moreover, the complex adoption of BC in SC, explained with the mediating and moderating relationships, is not fully consolidated. Thus, the aim of this study was to conduct a systematic literature review (SLR) on BC technology adoption (BCTA) in SC by integrating its antecedents and consequences.Design/methodology/approachKeyword searches were performed in multiple databases resulting 382 articles for evaluation and verification. After careful screening with respect to the purpose of the study and systematic processing of the retrieved articles, a total of 211 peer-reviewed articles were included in this study for review.FindingsVarious technological, organisational, individual, social, environmental, operational and economic factors were found as the antecedents of BCTA in SC. In addition, numerous applications of BC Technology (BCT) were identified, including asset management, identity management, transaction management, data management and operations management. Finally, the consequences of BCTA were categorised as operational, risk management, economic and sustainability outcomes.Practical implicationsThis study can assist relevant decision-makers in managing the factors influencing BCTA and the potential uses of the technology to enhance SC performance.Originality/value By integrating the antecedents, applications and consequences of BCTA in SC, including the mediators and moderators, an integrated framework was developed that can potentially assist researchers to develop theoretical models. Further, the results of this SLR provide future directions for studying BCTA in supply chain management (SCM).

System dynamics modeling and robustness analysis for capital-constrained supply chain under disruption

PurposeThe purpose of this study is to explore mitigation measures for cash flow interruption during the epidemic and provide decision support to ensure the regular operation and robustness of the supply chain (SC).Design/methodology/approachConsidering the scenarios of production capacity and demand disruption during the epidemic, the authors adopt system dynamics (SD) to construct a three-echelon SC financial system consisting of a core manufacturer, a capital-constrained retailer and the customer. In different interruption scenarios, through the decision adjustments of stakeholders, the differences in performance are compared to explore solutions for SC robust optimization.FindingsThe results show that partial credit guarantee (PCG) could solve cash flow interruption and maintain the regular operation of the SC. During epidemic, with the product price increases, the revenue of stakeholders and the robustness are generally negatively correlated. But when the manufacturer's production capacity is fully interrupted, increasing product price is the right decision for the retailer and could simultaneously promote performance and robustness.Originality/valueThis paper primarily focuses on the PCG under the cash flow interruption caused by epidemics. The authors adopt the supply chain finance (SCF) theory and SD method to supplement and expand existing research on interruption management of SC. It is a pioneering study to explore the robustness of the SC financial system under disruptions.

Envisioning a strategic framework to streamline building operation, sustainability and users' disease control

PurposeThis study aims to present a strategic framework aiming to streamline building operation and sustainability issues. To make available a further contribution to respond to Coronavirus Disease 2019 (COVID-19), an operational prevention guideline relying on the level of spread risk has also been developed, primarily intended for users when accessing and circulating within common spaces of buildings in general.Design/methodology/approachThe research approach involved the development of a whole theory, essentially based on a qualitative design, by means of tree schematic representations and explanatory frames. It presents part of a model already developed (called SIAPME), although, in general, besides integrating the underlying aspects of the individual experience of daily life, it is based on insights and impressions taken from the literature review.FindingsWith an identity of its own, this study offers an overview of an alternative set of well-founded and integrated strategies to improve working processes in a number of fields of the building operation function. A structured vision has thus, been provided with interest in certain key topics of the present time, such as energy management, comfort and sustainability. Still, in this context, based on a frame of knowledge gathered to date, a current, innovative and simple guidance has also been designed to help prevent the contagion of COVID-19.Research limitations/implicationsThe draft of procedures is part of an ambitious goal to serve as a well-founded strategic basis for the eventual development of an advanced software solution. As it is mainly limited to qualitative analysis, from which themes and generalisations have been arranged, this research may need more empirical evidence and additional work will be necessary to overcome any gaps that may be found.Practical implicationsAn overall assessment of this study seems to corroborate the idea that a significant impact on the developments in building operation can occur if stakeholders seek a more integrated way of management, based on cross-referencing of current issues. At a time when great uncertainties remain and knowledge advances are in full swing, the designed framework aims to be an added input towards already existing research. Furthermore, it can be seen as a valuable contribution to improving related software applications.Originality/valueThe originality lies in trying to better understand how and in which aspects the general day-to-day management of building operation can be handled more effectively, sustainable and framed, following a reasoned scientific line, in addition of trying to figure out greater capacity to deal with users' contagions, especially in the existing context of the pandemic.

Reforming global supply chain management under pandemics: The GREAT-3Rs framework

The recent outbreak of Coronavirus disease 2019 (COVID-19) has posed serious threats and challenges to global supply chain management (GSCM). To survive the crisis, it is critical to rethink the proper setting of global supply chains and reform many related operational strategies. We hence attempt to reform the GSCM from both supply and demand sides considering different pandemic stages (i.e., pre, during, and post-pandemic stages). In this research paper, we combine a careful literature review with real-world case studies to examine the impacts and specific challenges brought by the pandemic to global supply chains. We first classify the related literature from the demand and supply sides. Based on the insights obtained, we search publicly available information and report real practices of GSCM under COVID-19 in nine top global enterprises. To achieve responsiveness, resilience, and restoration (3Rs), we then propose the "GREAT-3Rs” framework, which shows the critical issues and measures for reforming GSCM under the three pandemic stages. In particular, the "GREAT” part of the framework includes five critical domains, namely, "government proactive policies and measures,” "redesigning global supply chains,” "economic and financing strategies under risk,” "adjustment of operations,” and "technology adoption,” to help global enterprises to survive the pandemic;"3Rs” are the outputs that can be achieved after using the "GREAT” strategies under the three pandemic stages. Finally, we establish a future research agenda from five aspects. © 2022 Production and Operations Management Society.

Critical Enablers that Mitigate Supply Chain Disruption: A Perspective from Indian MSMEs

The study attempts to identify the critical enablers that can mitigate supply chain (SC) disruption and model the interconnectedness among them in the context of the Indian Micro, Small and Medium Enterprises (MSMEs). The supply chain in many Indian MSMEs has been seriously affected by the COVID-19 pandemic, bringing forth the need to identify avenues that can mitigate the disruptions. This study conducts a two-stage qualitative interview and a structured interview with MSME owners. Domain experts are associated with the automotive, aerospace and design services industries. Based on their responses, we have identified seven major critical enablers specific in the context of Indian MSMEs. To model the interconnection among these factors, we have used the ISM (Interpretive Structural Modelling) approach. Results suggest that ‘top management support' is the most crucial enabler in the hierarchy. Further, we find that if the supply chain is designed efficiently with redundancy in mind and the culture of the MSME remains conducive, advanced forms of ‘multi-sourcing' and differentiated logistics can be explored to mitigate supply chain disruption.

Trust Relationship with Suppliers, Collaborative Action, and Manufacturer Resilience in the COVID-19 Crisis.

Frequent emergencies highlight the importance of corporate resilience, and relationship governance behaviors have received much attention for improving firms' resilience. This study uses structural equation modeling to test hypotheses based on trust theory and synergy theory. It investigates the impact of the behavioral operations management approach of collaborative action on manufacturers' resilience in Chinese manufacturing firms during the COVID-19 pandemic. Environmental uncertainty is used as a moderating variable to explore its role between the trust relationship with suppliers and collaborative action, which are two types of relationship management behaviors. The results show that collaborative action positively affects each of the three stages of manufacturer resilience. Moreover, collaborative action mediates between the trust relationship with suppliers and the different dimensions of manufacturer resilience. Environmental uncertainty does not moderate the facilitative effect of the trust relationship with suppliers on collaborative action. This study examines the relational governance behavior of firms in the context of a particular Chinese culture to build a bridge between relational governance behavioral science and firm resilience management. This study tries to provide inspiration for managers to improve the risk management ability of manufacturing enterprises by using relationship management theory and behavioral science.

Reforming global supply chain management under pandemics: The GREAT‐3Rs framework

The recent outbreak of Coronavirus disease 2019 (COVID‐19) has posed serious threats and challenges to global supply chain management (GSCM). To survive the crisis, it is critical to rethink the proper setting of global supply chains and reform many related operational strategies. We hence attempt to reform the GSCM from both supply and demand sides considering different pandemic stages (i.e., pre, during, and post‐pandemic stages). In this research paper, we combine a careful literature review with real‐world case studies to examine the impacts and specific challenges brought by the pandemic to global supply chains. We first classify the related literature from the demand and supply sides. Based on the insights obtained, we search publicly available information and report real practices of GSCM under COVID‐19 in nine top global enterprises. To achieve responsiveness, resilience, and restoration (3Rs), we then propose the "GREAT‐3Rs” framework, which shows the critical issues and measures for reforming GSCM under the three pandemic stages. In particular, the "GREAT” part of the framework includes five critical domains, namely, "government proactive policies and measures,” "redesigning global supply chains,” "economic and financing strategies under risk,” "adjustment of operations,” and "technology adoption,” to help global enterprises to survive the pandemic;"3Rs” are the outputs that can be achieved after using the "GREAT” strategies under the three pandemic stages. Finally, we establish a future research agenda from five aspects.

Guest editorial: Digital transformation strategy and impacts during emergency situations

In line with the interdisciplinarity of the Industrial Management and Data Systems (IMDS) journal, this Special Issue (SI) was focused on exploring the digital transformation phenomenon from different angles, with particular attention on the interplay between operations management, supply chain and information systems related fields, during emergencies and environmental uncertainty contexts. [...]this SI aims to inspire debate and discussion with scholars, practitioners and decision-makers working on governments by reporting the finest science and valuable practical and policy insights to advance the literature, practices and policy formulation. 2. [...]R&D's higher prior investment creates higher levels of digital technology, supporting the firm's resilience. [...]the authors point out that retailers can use blockchain for permission marketing strategies. The results reveal that top management support plays an important mediation effect. [...]the study points out the moderation effect that environmental factors exert on big data analytics adoption.

Guest editorial: Dynamic capabilities and international business research: managerial and financial perspectives

[...]the need for research insights to develop and enhance various DCs to overcome these negative consequences is of great importance. [...]this special issue sought contributions that helped in a better understanding of the DCs concept in the global business landscape. [...]the contribution by Abdelzaher and Ramadan "Dynamic capabilities and FDI in conflict zones: the role of diversification and stock management capabilities” reveals that companies with superior international geographical diversification capabilities and those with superior local stock management capability are more probable to launch subsidiaries in high ongoing conflict zones.