Scenarios for handling the impact of COVID-19 based on food supply network through regional food hubs under uncertainty

Analysis of the spatial differentiation and driving force of arable land abandonment and non-grain in the hilly mountainous areas of Gannan

Food security has a bearing on national development and people's livelihoods and is an important guarantee of social stability for national development. The problems of arable land abandonment and non-grain are becoming more and more serious, and national food security is difficult to guarantee, which will seriously hinder the forward development of China's society and economy. Taking Ruijin City of Jiangxi Province as an example, this study calculated the abandonment level and non-grain level of arable land in Ruijin City respectively from two aspects, and explored the spatial differentiation law of farmland abandonment and non-grain level in the hilly and mountainous areas of southern Jiangxi Province by using spatial autocorrelation and cold and hot spot analysis methods, and the causes of arable land abandonment and non-grain spatial differentiation in the hilly mountainous areas of Gannan were revealed by the methods of Geodetector factor detection and interaction detection. Conclusions of the study: (1) Ruijin City, the abandoned area was 1216.73 hm2, the abandonment rate of each village ranged from 0.01 % to 50.62 %, and the comprehensive abandonment rate was 4.90 %; the area of non-grain was 2937.27 hm2, and the rate of non-grain of each village ranged from 0.01 % to 100.00 %, and the comprehensive non-grain rate was 11.83 %. The area of non-grain was 2937.27 hm2, and the rate of non-grain in each village ranged from 0.01 % to 100.00 %, and the comprehensive rate of non-grain was 11.83 %. (2) The phenomenon of abandonment of arable land and non-grain in Gannan hilly and mountainous areas has a certain clustering and driving effect in space. Globally, the phenomena of arable land abandonment and non-grain in Ruijin City are positively correlated, with the global Moran's I of arable land abandonment rate being 0.05, and the global Moran's I of arable land non-grain being 0.73. (3) Whether or not arable land in the hilly mountainous areas of Gannan is abandoned is affected by the combination of socioeconomics, natural resources, farming conditions, and economic location, with elevation, the degree of arable land contiguity, and population density being the dominant factors. The interaction of elevation, degree of concentration and contiguity, field regularity, and per capita arable land area increased the spatial variability of arable land abandonment in the hilly mountainous areas of Gannan. Whether the phenomenon of non-grain occurs or not is affected by socio-economic conditions, farming conditions and economic location, of which the proportion of paddy fields, land transfer price, arable land area, and urban-rural gradient are the dominant factors. The proportion of paddy land, the price of land transfer, the area of arable land, and the urban-rural gradient interact with each other, and the tendency of arable land to be planted with non-grain crops is more serious.

Unveiling digital transformation: Investigating technology adoption in Vietnam's food delivery industry for enhanced customer experience

Digital platforms are increasingly playing a crucial role in the digital transformation process, enabling small and medium-sized enterprises to gain a competitive advantage and achieve their business objectives. This research study aims to extend the Technology Acceptance Model by incorporating the Stimulus-Organism-Reaction theory to gain a comprehensive understanding of the factors influencing satisfaction, continued intention to use, and positive electronic word-of-mouth (eWOM) in the context of Food Delivery Apps (FDAs). A quantitative approach was employed, and data were collected through a survey administered to 346 FDA users. The results reveal that both Information quality and Task-technology fit have a positive impact on satisfaction and continued intention to use. Additionally, satisfaction was found to have the greatest influence on continued intention to use and positive eWOM, with information quality exerting the most significant impact on satisfaction. Furthermore, the study findings demonstrated that promotion has a significant impact on generating positive eWOM. This study makes a substantial contribution to the existing literature by providing valuable insights into the factors influencing FDA usage and their impact on satisfaction, continued intention to use, and positive eWOM. It serves as a foundation for further research in this emerging field and offers practical implications for stakeholders involved in the development, management, and utilization of FDAs.

Effects of COVID-19 outbreak in pricing and collaboration of a health-social dual-channel supply chain

The coronavirus pandemic has affected most aspects of product supply and consumer behaviors and led to transformations in the supply chain. The COVID-19 pandemic and the requirements to reduce its prevalence have led many people to shop online and encouraged many manufacturers to sell their products online. In this study, a manufacturer, who intends to possess an online sales channel, and a retailer, who has an in-person sales channel, are considered. Then, pricing strategies and collaboration mechanisms between them in the health-social dual-channel supply chain are investigated. This study is developed in three models, including centralized, decentralized, and collaborated under Stackelberg game, whereas the optimal price of products in each channel, level of implementation of health and safety protocols in retailers, advertising level, and status of online shopping performance are obtained for improving customer trust. Moreover, the demand is represented as a function of selling prices of products in online and in-person shops, compliance level of health protocols, level of online shopping performance, and advertising in health during the COVID-19 pandemic. Although the centralized model provides more profit for the manufacturer, the collaborated model provides the highest profit for the retailer. Thus, since the supply chain profit of centralized and collaborated models is close, the collaboration model is the best option for members in this situation. Sensitivity analysis is finally performed to evaluate the impact of key parameters, and then according to obtained results, some management insights are suggested for the dual-channel supply chain during the COVID-19 pandemic.

Data analytics during pandemics: a transportation and location planning perspective

The recent COVID-19 pandemic once again showed the value of harnessing reliable and timely data in fighting the disease. Obtained from multiple sources via different collection streams, an immense amount of data is processed to understand and predict the future state of the disease. Apart from predicting the spatio-temporal dynamics, it is used to foresee the changes in human mobility patterns and travel behaviors and understand the mobility and spread speed relationship. During this period, data-driven analytic approaches and Operations Research tools are widely used by scholars to prescribe emerging transportation and location planning problems to guide policy-makers in making effective decisions. In this study, we provide a review of studies which tackle transportation and location problems during the COVID-19 pandemic with a focus on data analytics. We discuss the major data collecting streams utilized during the pandemic era, highlight the importance of rapid and reliable data sharing, and give an overview of the challenges and limitations on the use of data.

Interval-valued intuitionistic fuzzy digraph-matrix approach with PERMAN algorithm for measuring COVID-19 impact on perishable food supply chain

The outbreak of COVID-19 has prompted a substantial shrinkage in various businesses worldwide, the perishable food sector being one of the worst hits. Henceforth, this manuscript intends to analyse the impact of COVID-19 on perishable food supply chains (PFSCs) of developed and developing countries. For this, the study presents the analysis in two steps. In the first step, the study illuminates the particular factors that frame unique sorts of supply chain (SC) disturbances in PFSC. Secondly, the study proposes a unique interval-valued intuitionistic fuzzy set (IVIFS)-based graph theory and matrix approach (GTMA) to analyse the COVID-19 impact index value. In addition to this, the PERMAN algorithm is used to calculate the permanent function. The study has revealed that developing nations should focus more on their technological and infrastructural factors to improve the condition of PFSC during the pandemic. This study's results can be deployed by decision-makers to forestall the operative and long-haul consequences of COVID-19, or any other disruptions to the PFSC, and make plans to overcome the impact. The significance of this manuscript is that the prominent factors degrading the performance of PFSC amidst the pandemic have been highlighted, with their respective impact on developed and developing nations compared. Moreover, a neoteric comprehensive integration of IVIFS-GTMA technique along with the PERMAN algorithm has been utilised in this manuscript. This particular study is inimitable as it supplements existing literature by providing analytical support to the relationship among various factors impacting the PFSC amidst the pandemic.

Creating Food Value Chain Transformations through Regional Food Hubs: A Review Article

This article synthesizes the evidence on food value chains (FVCs) and regional food hubs (RFHs) through a systematic literature review and suggests future research directions based on the gaps identified in the review. The number of publications on FVCs and RFHs is increasing, indicating that these topics are gaining interest among scholars from different countries and disciplines. Bibliometric analysis and preferred reporting items for systematic review and a meta-analysis (PRISMA) flow chart are used to identify the data from Scopus. The results show that FVCs are an innovative solution to improve the skills and capacity of smallholder farmers through collaborative networks that can match the functions of RFHs. RFHs connect local producers and customers by operating a business based on social entrepreneurship and ecological approaches to increase local economic viability and the sustainability of agriculture products. FVCs and RFHs are designed to respond to supply chain insecurity with value-based approaches in order to achieve sustainable nutrition for the local community. Further research on FVCs and RFHs emphasizes that the business model of regional development in developing countries can improve food security sustainability based on social entrepreneurship, and emphasizes the environmental aspect that it can use to support the sustainability of developing countries local food.

The future of industry 4.0 and the circular economy in Chinese supply chain: In the Era of post-COVID-19 pandemic

The demand for new productive factors is increasingly required, exacerbated in a scenario in which a linear economy prevails. The circular economy (CE) adoption is a proposal to guarantee environmental sustainability and redirect an obsolete process such as the linear economy. Thus, one of the main factors that allow achieving sustainability is Industry 4.0 (I4.0). In addition, the research aims to evaluate the role of I4.0 during the COVID-19 pandemic in China. The literature review process defines ten future projections with potential for the CE's adoption. The two-round Delphi approach was developed with 54 CE experts to evaluate the projections. In both rounds, the probability of occurrence up to 2030, its impact on the CE and its desirability were evaluated. Likewise, the qualitative criteria of the experts were coded to evaluate the projections. From the ten projections, four are those with the highest probability of occurrence (EP > 70%), with high impact (I > 3.5) and desirability of occurrence (I > 3.5). Expert evaluations make it possible to identify that Industry 4.0 and the digital skills of workers, their financing, and the efficiency of Government policies have a high probability of occurrence in the adoption of the CE in 2030. This research responds to the special call of papers providing evidence favouring the implementation of I4.0 in the CE from a holistic approach to draw a roadmap towards adopting the CE practices.

Improving Local Food Systems through the Coordination of Agriculture Supply Chain Actors

A local food system is an alternative food network that shortens and more effectively structures the supply chain system. An intermediary actor functioning as an aggregator is needed in the local food system. The food hub is one such intermediary actor with an essential role in strengthening the local food system and increasing the competence of small farmers to compete with large-scale food distribution. Many studies have been conducted on the effectiveness and efficiency of food hubs; however, changing the supply chain system to one that is based on a local food system is challenging. This study aims to build a conceptual model that describes the activities and coordination of the actors involved in a food hub to achieve a local food system. In this study, a soft system methodology and case study approach are used to answer the research question. The results show that two transformations are needed to achieve a local food system: changing the supply chain system to one that is shorter and more structured and increasing quality consistency. Recommendations are presented in the form of a series of human activity systems to achieve transformations. Human activities to achieve a shorter and structured supply chain involve building cooperation, operating operational activities to add value, product identification, promotion, and developing fair-trade contracts. Human activities required to achieve transformation of increasing quality consistency include identifying high-demand customer requirements, forecasting, scheduling planting, and harvesting, improving training, cooperating with research institutions, farmer assistance, and quality inspection.

Will multi-industry supply chains' resilience under the impact of COVID-19 pandemic be different? A perspective from China's highway freight transport

The pandemic caused by coronavirus disease 2019(COVID-19) continues to disrupt the global supply chain system, bringing new risks and challenges. The uncertainty created by COVID-19 makes it is difficult for various industries to deal with the pandemic. Since the pandemic, the supply chain's resilience has been discussed and examined in some studies. However, most existing works start from a single industry perspective or pay more attention to the disturbance caused by changes in the production side. Supply chain networks of different industries, mainly transport networks, are relatively limited under the epidemic's impact. In this paper, from the perspective of highway freight transport, a comprehensive competitiveness evaluation framework was proposed to reveal and the disruption and resilience of the supply chain under the outbreak based on nine indexes with five dimensions, including efficiency, capacity, activity, connectivity, and negotiability. Based on the availability of the data(Large-scale truck trajectory), we sorted out seven categories of Chinese industries(related to highway transport) and divided them into four categories respectively: (a) Slight disruption and worse resilience; (b) Slight disruption and remarkable resilience; (c) Serious disruption and worse resilience; (d) Serious disruption and remarkable resilience. The measurement results of supply chain network performance show that the industries (cold-chain, general products, and other industries) dominated by "Efficiency - Negotiability - Connectivity" are slightly disrupted (about 33%), forming a spatial diffusion with Wuhan(the city where the pandemic first broke out) as the disrupted center, spreading outward in a circle structure. Simultaneously, five urban agglomerations surrounding it have been impacted. By contrast, due to the strict isolation measures, the industries (building materials, construction, engineering, and high-value products industry) more vulnerable to be disrupted seriously (about 82%) tend to be the pattern of "Capacity - Activity". However, a large-scale centralized disruption was observed in the Triangle of Central China urban agglomeration was presented, resulting in almost stagnation of industry development. Meanwhile, as the future of the pandemic remains uncertain, the supply chain represented by the engineering industry, construction industry, etc are deserved to be paid more attention in line with they are prone to large-scale centralized damage due to the disruption of a single city node.

Reimagining global food value chains through effective resilience to COVID-19 shocks and similar future events: A dynamic capability perspective

The restructuring of global value/supply chains gained increasing attention as the unprecedented COVID-19 echoed around the world. Yet, the COVID-19 related theory-driven, large scale quantitative, and empirical studies are relatively scarce. This study advances the extant literature by empirically investigating how do firms in the global food value chains (GFVCs) re-imagine their businesses structure in response to the COVID-19-becoming more resilient and competitive to the current pandemic and similar future events. We leverage a unique data of 231 senior managers of the Australian GFVCs and examine their firms' response strategies. Drawing upon key insights from the dynamic capability view, we find that GFVCs' competitiveness is achieved when exposure to COVID-19 shocks elicits dynamic capabilities-readiness, response, recovery-and these capabilities work jointly and sequentially to cultivate resilience. A key finding of this study is that firms with domestic plus global value chain partners are more resilient than those having only global business partners. This finding implies that excessive reliance on offshoring sometimes becomes lethal, especially amid unexpected and prolonged global shocks and, therefore, companies should strike a balance between domestic and global business partners to remain competitive. These findings offer important contributions to theory, practice, and UN sustainable development goals.

Supporting data for the integrated Agent-Based Modelling and Robust Optimization on food supply network design in COVID-19 pandemic

This article presents the data as a support for "Designing a Food Supply Chain Strategy during COVID-19 Pandemic using an Integrated Agent-Based Modelling and Robust Optimization" [1]. An integration framework of Agent-Based Modelling (ABM) and Robust Optimization (RO) is proposed to address the food supply network development involving normal and pandemic condition issue regarding the actual food production data availability. In this article, the data associated with the integrated ABM simulation and RO are discussed. Particularly, this article provides the output rice production capacity data from the ABM simulation. This article also discusses how the output data from ABM simulation are processed to construct the polyhedral uncertainty set, which will later used by RO. By showing the output data from the ABM simulation and explaining how it is processed to be used in RO, other researchers and investigators could integrate their own ABM simulation model with RO to address their respective problems considering any uncertainty. Furthermore, the additional data needed for the optimization model are also included, which are mainly retrieved from the reports of government agencies.

A Novel Scenario-Based Bi-objective Optimization Model for Sustainable Food Supply Chain During the COVID-19: a Case Study

Since food is one of the essential human needs, studies on this topic have always been a global concern. With the advent of COVID-19 and the emergence of many problems in all aspects of the food supply chain (such as production, transportation, distribution), this issue has become doubly important. This paper discusses an MINLP optimization model for handling the impact of the COVID-19 pandemic based on the food supply network through Food Hubs (FHs). In this research, the concept of FH has been used for a more effective and faster connection of consumers to production sites. Due to prevention of the spread of coronavirus and the quarantine conditions, the areas have been divided into two parts (high-risk and low-risk) and two scenarios have been defined for this supply chain. The purpose of this paper is to reduce costs and environmental impacts as much as possible. The proposed model is solved by GAMS software for small- and middle-size test problems, and it is solved with genetic optimization algorithm as a meta-heuristic approach for large-size problems. Also, to solve the developed linear multi-objective model, augmented ɛ-constraint approach is applied, and a real case study from Iran is examined to illustrate the validation of the proposed model. Numerical and computational results are provided to prove the efficiency and feasibility of the presented model. Finally, sensitivity analysis is presented to evaluate the effect of changing some parameters on variables and objective functions.

Investigating the effects of the outbreak of COVID-19 on perishable food supply chains: an empirical study using PLS-SEM

Purpose

At the end of 2019, the first case of the Corona Virus Disease (COVID-19) was reported in Wuhan city of China. The disease was declared a pandemic without imagining the magnitude of damage currently caused in all branches of the economy. One of the most affected sectors was food and mostly perishable food (PF), which are more susceptible to environmental conditions. Thus, the research examines the effect of the COVID-19 outbreak on Ecuador's perishable food supply chains (PFSCs) during the pandemic. It contributes to new results on the special issue (SI) PFSC response to event risk and uncertainty, such as those that generated the pandemic.

Design/methodology/approach

The data used are from primary information sources, which were collected through a questionnaire. The questionnaire was applied to 298 companies belonging to the sector, and later the information was processed through partial least squares structural equation model. The convergent validity, discriminate and robustness tests provide arguments for the suitability of the model. Therefore, the findings are reliable and valid for the adequate measures to improve the PFSC due to a COVID-19 outbreak.

Findings

The results show that the perception of personal risk (PPR) produced by COVID-19 has caused the companies of the PFSC to adopt preventive policies (PO) to avoid contagion and guarantee the operation of the companies. In addition, the PPR has been responsible for the alterations in the demand and price (DP) of PF. Next, PO and DP have a significant effect on PFSC, which shows the evidence favouring the malfunction of PFSC operations due to anti-contagion PO, the mismatch of DP. On the contrary, circular economy practices contribute to the excellent performance of the PFSC. Finally, the research suggests some policy implications to consider in improving the PFSC.

Originality/value

This study is the first to be carried out in Ecuador's country on the PFSC; its contribution is unprecedented and makes it a road-map to be considered to guarantee the correct functioning of the PFSCs, and it will provide policymakers with valid elements to design efficient PFSCs that better respond to unforeseen events and uncertainties. Future research will focus on analysing the management of PF consumption in Ecuador during the pandemic.

The Impact Of Covid-19 On Logistic Systems: An Italian Case Study

since the beginning of 2020, a new virus named COVID-19 has rapidly spread to a global pandemic. The world economy has been strongly affected and early evidence suggests that its impact has involved all the sectors and business functions. In such context, logistics activities have been severely affected by the COVID-19 pandemic because of the introduction of new strict prevention rules; moreover, purchasing behaviours of customers have changed and systems had to rapidly adapt to unexpected events. This paper aims to investigate the impact of the sanitary emergency on logistics activities. A logistic provider specialized in the food and fast moving consumer goods sector has been involved in the research in order to analyse its activities and the main changes caused by the pandemic. A quantitative survey has been conducted, combining numerical data and qualitative answers. Results confirm strong effects on some sectors and an economic loss mainly due to the new procedures adopted to face the emergency.

Designing a food supply chain strategy during COVID-19 pandemic using an integrated Agent-Based Modelling and Robust Optimization

Coronavirus disease (COVID-19) has spread for over a year and affected many aspects, including the food supply chain. One of the ways COVID-19 has impacted the food supply chain is the food production capacity reduction. It is necessary to develop the optimum food supply chain strategy by determining the optimum food hub location and food network to maintain food security which robust against disruptions and uncertainties. In this study, Robust Optimization (RO) is applied to handle the uncertainties. Nevertheless, the actual uncertain data might be hard to be collected or even unavailable at the moment. Therefore, an innovative framework is proposed to integrate RO with Agent-Based Modelling (ABM). ABM is used to simulate the upstream actor of the food supply chain and predict the uncertain food production capacity, which RO later handles. Particularly, this study focused on rice supply chain. The result shows that the framework is able to handle the uncertain rice supply chain problem, in which the actual uncertain data might be unavailable, and give the robust optimum food hub location and food network. The food hub location and food network are obtained by solving the Robust Counterpart (RC) model with respect to the uncertainty set obtained from the ABM simulation result.

Measures to Increase Local Food Supply in the Context of European Framework Scenarios for the Agri-Food Sector

The issue of local food supply has attracted considerable political and public attention, due to the changing preferences of consumers, who have more awareness about ecological sustainability, in particular, but also due to recent developments concerning the COVID-19 pandemic. In order to identify measures facilitating local food value chains, which are resilient to different nationwide and global future developments, the aim of our analysis was to set the identified measures derived from the local roadmap of the city of Graz in the context of European scenarios for the agri-food sector in 2035. The results show that certain measures are applicable under all of the described scenarios, such as the food policy council, whereas some measures—for example, open food labs—are less suitable or need to be adjusted to fit the purpose within changing framework conditions. Setting specific measures for a city region in the broader context of European agri-food scenarios provides a systemic perspective, thus making the multiple links and influences more visible.

Technological Innovation and Circular Economy Practices: Business Strategies to Mitigate the Effects of COVID-19

The Corona Virus Disease 2019 (COVID-19) has been a tough test on companies in the global food sector supply chain, exacerbating the realities and deficiencies it presents in developing economies. This situation has been reflected in the firm’s performance (F.P.) due to the lack of business conditions to respond to the current pandemic. However, in some companies, the adverse effects of COVID-19 have been counteracted due to endowment and technological capabilities. Thus, this study examined the role of technological innovation (T.I.) and business data analytics (B.D.A.) in the F.P. of foods in Ecuador during COVID-19. A questionnaire collected the information from the food firms. Then, Covariance-Based Structural Equation Modeling processed the collected information. We found that (B.D.A.) mechanisms and different levels of T.I. within the developing market significantly shape the F.P. The results showed that the B.D.A. enables circular economy (C.E.) practices and the improvement of product delivery services, which constitutes an improvement of the F.P. The COVID-19 outbreak did not significantly affect T.I., unlike what happened with B.D.A. This study concluded that firms with the most extraordinary technological production processes have been the least affected during COVID-19. This study suggested that policy measures should boost food firms’ technological endowment to improve their resilience in uncertainty and risk scenarios.