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Recently, an increasing number of companies have encountered random production disruptions due to the COVID-19 pandemic. In this study, we investigate a two-stage supply chain in which a retailer can order products from a low-price ("cheap”) unreliable supplier (who may be subject to an uncertain production disruption and partially deliver the order) and an "expensive” reliable supplier at Stage 1 and a more "expensive” backup supplier at Stage 2. If the disruption happens, only the products that were produced before the disruption time can be obtained from the unreliable supplier. It is found that in the case with imperfect demand information updating, the unreliable supplier is always used while the reliable supplier can be abandoned. The time-dependent supply property of the unreliable supplier reduces the retailer's willingness of adopting the dual sourcing strategy at Stage 1, compared with the scenario with all-or-nothing supply. Different from the case with imperfect demand information updating, either the reliable or unreliable supplier can be abandoned in the case with perfect demand information updating. We derive the optimal ordering decisions and the conditions where single sourcing or dual sourcing is adopted at Stage 1. We conduct numerical experiments motivated by the sourcing problem of 3M Company in the US during the COVID-19 and observe that the unreliable supplier is more preferable when the demand uncertainty before or after the emergency order is higher. Interestingly, the retailer tends to order more from the unreliable supplier when the production disruption probability is larger in some cases. © 2022 The Author(s)
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Traditionally, food sustainability has been considered solely in the stage of agricultural production. However, globalization, the expansion of the food production industry, and the emergence of supermarket chains that control the retail food market require specific significant changes in supply chains in the food sector and, therefore, we need to address the economic, social, and environmental impacts of these events. On the other hand, social selling has increased rapidly in recent years, with a further boom, following current events related to the coronavirus disease (COVID-19). This explosion of social sales, where there are usually no control and regulation entities, can bring problems associated with mishandling items. In this paper, we expose how Blockchain technology supports the traceability of social sales by validating the data provided by the chain participants such as digital health passports, production and transport data in the sale process;the proposed solution generates recommendations on productmanagement considering the agreements previously made by the network actors. To evaluate the proposed smart contracts, we useHyperledger Caliper, obtaining an average throughput of 12.6 transactions per second and an average latency of 0.3 s for the asset update process. We also use a study case to evaluate the proposed project platform's selling-transport stage using Internet of Things (IoT) sensors. © 2023 Tech Science Press. All rights reserved.
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Purpose: The recent COVID-19 has obliged governments to enact large-scale policies to contain it. A topic of economic debate is the quantification of the impact that these policies can create in the economy, with the aim of activating regulatory mechanisms to minimize this impact. In this vein, this study aims to propose a quantification of the effects of the Italian government policy that blocks nonessential production activities. Design/methodology/approach: The authors use a multisectoral extended inoperability model on the social accounting matrix of Italy. The analysis identifies the pandemic's impact on outputs, endogenous demands, value-added and disposable incomes of institutional sectors. Findings: The construction and real estate sectors revealed a significant contraction followed by the retail trade and hotel and catering services sectors. The output contraction further impacts the value-added generation, disposable income and final demand components. Originality/value: The current pandemic is alleged to have a greater impact than the epidemics of the past century, considering the present dimension of the world economy and the increasing interconnections between industries and institutions. In this scenario, it is challenging to safeguard not only human health and life but also the economy. Hence, there is a need to establish a trade-off between health and economics;and in this regard, the current study empirically quantifies the impact of health measures on the economy. The findings of this study help identify the sectors that are more prone to disaster effects and also present the structure of income circular flow in the Italian economy. © 2021, Emerald Publishing Limited.
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Delivery management platform has become the most important part of every e-commerce business including giant industries up to the small businesses.We are providing a system where the customer can get their own products transferred from one place to another within a radius of 50 km on the same day.Thus, to make the delivery process safe and consistent for customers to their doorsteps, web applications can be developed.This application can help customers to schedule a delivery of any package of their choice to the respective beneficiary (destination) customer.Customers can track their packages and can review the delivery boy on site as the delivery boy is responsible for secure delivery.This system helps the customer in transferring their goods through safe hands and also provides the option of schedule to transfer their goods.The delivery will be done within one to two hours (tentative).Customers need to provide the details asked in the application for safer delivery.The delivery boy while collecting the package will verify the details provided in the application and collect the package.Customers also can book the delivery of new products where delivery is not provided at the purchasing point.They can also book for the delivery from their house to the place where they reside.The package must be in the weight that the delivery boy must be able to carry, if not extra charges will be applied.Application also directs the customer to book a cab, groceries delivery, and food delivery. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Online mail order and online retail purchases have increased rapidly in recent years worldwide, with Covid-19 forcing almost all non-grocery shopping to move online. These practices have facilitated the availability of new data sources, such as web behavioural variables providing scope for innovation in credit risk analysis and decision practices. This paper examines new web browsing variables and incorporates them into survival analysis as predictors of probability of default (PD). Using a large sample of purchase and repayment credit accounts from a major digital retailer and financial services provider, we show that these new variables enhance the predictive accuracy of probability of default (PD) models at account level. This also holds in the absence of credit bureau data, therefore, the new information can help people who may not have a credit history (thin file) who cannot be assessed using traditional variables. Moreover, we leverage on the dynamic nature of these new web variables and explore their predictive value in short and long- term horizons. By adding macroeconomic variables, the possibility for stress-testing is provided. Our empirical findings provide insights into web browsing behaviour, highlight how the inclusion of non-standard variables can improve credit risk scoring models and lending decisions and may provide a solution to the thin files problem. Our results also suggest a direct value added to the online retail credit industry as firms should leverage the increasing trend of consumers embracing the digital environment. © 2022 The Authors
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Bi-level programming is an efficient tool to tackle decentralized decision-making processes in supply chains with upper level (i.e., leader) and lower level (i.e., follower). The leader makes the first decision while the follower makes the second decision. In this research, a bi-level programming formulation for the problem of location-inventory-routing in a two-echelon supply chain, including a number of central warehouses in the first echelon and retailers in the second echelon with perishable products under uncertain demand, is proposed. The total operational costs at both levels are minimized considering capacity constraints. Due to the uncertain nature of the problem, a scenario-based programming is utilized. The economic condition or unforeseen events such as COVID-19 or Russia-Ukraine war can be good examples for uncertainty sources in today's world. The model determines the optimal locations of warehouses, the routes between warehouses and retailers, number of received shipments and the amount of inventory held at each retailer. A revised solution method is designed by using multi-choice goal programming for solving the problem. The given revised method attempts to minimize the deviations of each decision maker's solution from its ideal value assuming that the upper level is satisfied higher than the lower level. Base on some numerical analysis, the proposed solution technique is more sensitive to the upper bounds of the goals rather than the lower bounds. © 2022 Elsevier B.V.
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Purpose: The paper explores how consumer behavior for purchasing impulse products changed in the complex and disruptive (emergency) situation of the COVID-19 pandemic when the customer is shopping in-home and not visiting the offline stores in an emerging economy context. This paper further explores how digital transformations like the use of blockchain technology can aid offline/omnichannel retailers in reviving sales via permission marketing for impulse products. Design/methodology/approach: The authors followed a qualitative research design and conducted 24 personal interviews with millennials and 15 interviews with offline/omnichannel retailers from an emerging economy. The data collected were analyzed using the thematic analysis procedure. Findings: The authors discuss their findings under three themes – customers' conscious impulse buying during the pandemic, customers' unconscious impulse buying during the pandemic, and a viable solution for retailers in response to the pandemic. Practical implications: The authors suggest that marketers primarily from an offline/omnichannel store should adapt to permission marketing and use technologies like blockchain for the digital transformation of their marketing strategies. Doing so can help offline retailers minimize future damages in the retail sector during emergency situations. Originality/value: This paper is one of the first that explores how impulse – pure, suggestion, planned and reminder – purchases got affected during the COVID-19 pandemic disruptions in an emerging economy. This paper is also one of the first to explore the role of permission marketing and digital transformation by the use of blockchain in helping offline retailers in forming swift trust and practice trust-based marketing. © 2022, Emerald Publishing Limited.
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During COVID-19, the explosive growth of demand for fresh agricultural products on E-commerce platform has increased the difficulty of maintaining the greenness and freshness in delivery. The traditional cold chain delivery is effective in keeping greenness, but its information asymmetry makes the freshness-keeping activities unable to be regulated, which may lead to the supply chain members giving up their freshness-keeping efforts. Can the blockchain technology effectively solve these problems? We consider a fresh agricultural product supply chain consisting of a supplier and an E-commerce platform (retailer). The retailer is responsible for the wholesale and sales of fresh agricultural products, and determines the blockchain adoption degree and advertising effort. The supplier is responsible for delivering fresh agricultural products to consumers, and determines the greenness investment and freshness-keeping effort. Based on the traditional and blockchain-based fresh agricultural product supply chain, we discuss the dynamic optimization of freshness-keeping effort, advertising effort, and blockchain adoption degree. Results show that the supplier will give up the freshness-keeping effort after receiving the wholesale funds in the traditional fresh agricultural product supply chain, which will naturally worsen the fresh agricultural products. When adopting blockchain technology, the supplier continues to make the freshness-keeping effort in delivery. And five specific settings are proved that blockchain is effective in maintaining freshness. But two other specific settings are determined that it is not suited for adopting blockchain. In addition, compared with the traditional fresh agricultural product supply chain, blockchain adoption can effectively reduce the freshness-keeping effort, advertising investment and goodwill for achieving the same profit margin level, and will not affect the greenness investment decision of the supplier. Our research can provide some insights into the cold chain logistics management of fresh blockchain. © 2022
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Apart from the many social and health problems it has caused, the COVID-19 pandemic has had a severe impact on most sectors of the economy worldwide. One of the areas where such impact is noticeable is the textile, apparel, and fashion (TAF) industry. The lockdowns and limited access to retailer outlets resulted in a considerable drop in consumption, creating problems related to the excess of stock, the decrease of sales, and the disposal of non-used items. This paper outlines the implications of the COVID-19 on the TAF sectors and European retailers. It analyzes how the current supply chains exacerbated stock control problems, and it reports on the changes in consumption during the pandemic. The worldwide restrictive measures implemented to cope with the COVID-19 pandemic were responsible for significant profit losses. Also, the decrease in consumption, caused by several geographically wide lockdowns, prompted a subsequent reduction in orders and sales, resulting in a significant number of constraints. The implementation of more environmentally friendly processes, including sustainable circularity as a competitiveness source to keep the TAF sectors in the loop and reduce greenhouse gas emissions, may help address the problems associated with the COVID-19 pandemic in the sustainability context, as reported in this paper. © The Author(s) 2022.
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Requesting personal information in frontline service encounters raises privacy concerns among customers. The proximity contact tracing that occurred during the COVID-19 pandemic provides an intriguing context of information requests. Hospitality venues required contact tracing details from customers, and customer cooperation varied with concerns about privacy. Drawing on gossip theory, we investigate the roles of businesses' data privacy practices and government support in driving customers' responses to contact tracing. Our findings show that perceived transparency of a business's privacy practices has a positive effect on customers' commitment to the business, while perceived control exerts a negative effect on commitment. These effects are mediated by customers' information falsification rather than disclosure, because the former is a sensitive behavioral indicator of privacy concerns. The results also reveal the moderating roles of government support. This research contributes to the customer data privacy literature by demonstrating the distinct effects of perceived transparency and control on commitment and revealing the underlying mechanism. Moreover, the research extends the conceptual understanding of privacy practices from online contexts to face-to-face contexts of frontline service. The findings offer implications for the management of customer data privacy. © 2022 Elsevier Ltd
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We use a novel card transaction data maintained at the Central Bank of Latvia to assess their informational content for nowcasting retail trade in Latvia. During the COVID-19 pandemic in Latvia, the retail trade turnover dynamics underwent drastic changes reflecting the various virus containment measures introduced during three separate waves of the pandemic. We show that the nowcasting model augmented with card transaction data successfully captures the turbulence in retail trade turnover induced by the COVID-19 pandemic. The model with card transaction data outperforms all benchmark models in the out-of-sample nowcasting exercise and yields a notable improvement in forecasting metrics. We conduct our nowcasting exercise in forecast-as-you-go manner or in real-time squared;that is, we use real-time data vintages, and we make our nowcasts in real time as soon as card transaction data become available for the target month. © 2023 The Authors. Journal of Forecasting published by John Wiley & Sons Ltd.
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Many things have gone online with the modern technology. Similarly, business activities nowadays tend to be conducted online rather than in person. In this day and age, purchasing fresh food such as raw meat via social media is no longer impossible. Furthermore, the Covid-19 Pandemic has served as a catalyst for the growth of online commerce. The objective of this research is to investigate the factors of influencing the consumers' purchase intention of fresh food through social media. In addition, this research consists of five independent variables which are attitude, perceived behavioural control, perceived consumer effectiveness, product knowledge, and subjective norm. A set of self-administered questionnaires has been distributed to 215 targeted respondents. The collected data were keyed into SPSS and further analysed by using Partial Least Square Structural Equation Modelling (PLS-SEM 4). Our result revealed that product knowledge and subjective norm have significant relationship towards consumers' purchase intention of fresh food via social media. This research will benefit consumers who have intentions to purchase raw ingredients via online platform especially through social media platform. Furthermore, fresh food sellers also can benefit with this research by understanding the concerns and needs of their potential customers. © 2022 IEEE.
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The Covid-19 pandemic has changed the way people transact from physical bank to mobile banking transactions. The banks as financial companies are competing to offer the best service for mobile banking. Failure to fulfill consumer needs can damage a bank's reputation, profitability, and lead to gradual loss of customers. Hence, the bank needs to know its performance by measuring customer satisfaction. This study is aimed to know customer satisfaction of mobile banking using sentiment analysis. Sentiment analysis was conducted using data from Twitter, knowing that Twitter is a widely used media social with text-based content. The collected data was then predicted using the Support Vector Machine (SVM) model to get a positive or negative sentiment. From the model training result, this model achieved 92.5% of accuracy. The research analyzes customer satisfaction using sentiment analysis of BCA Mobile, Livin' by Mandiri, BRI Mobile (Brimo), and BNI Mobile. Brimo received the greatest percentage of positive sentiment compared to other platforms. Livin' by Mandiri and Brimo had a serious issue regarding its reliability. BCA Mobile should be more concerned regarding its usefulness. Meanwhile, BNI Mobile should have been more worried about its platform responsiveness. © 2022 IEEE.
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PurposeAs empirical insights into when salespeople should integrate information and communication technology (ICT) into their sales tasks are limited, the purpose of this study is to investigate the impact of salespeople's ICT orientation on role stress by considering the interplay of individual salesperson characteristics and the complexity of the selling environment, differentiating between customer and supplier complexity.Design/methodology/approachThe authors develop an empirical framework based on the Job Demands-Resources model and previous research in the area of technology in sales. They test their hypotheses by means of a survey of 255 business-to-business salespeople which is analyzed using ordinary least squares regressions.FindingsThe results of this study show that ICT orientation generally helps salespeople to reduce role ambiguity. However, the benefits salespeople derive from ICT orientation to reduce role conflict depend on an interplay of both their job tenure and the average relationship duration with customers as well as the complexity of the selling environment.Originality/valueThis study contributes to research on the impact of technology use on salespeople by enhancing the understanding of contexts that make ICT valuable for them. In particular, the findings of this study demonstrate that the impact of ICT orientation on salespeople's role stress depends on an interplay of individual salesperson characteristics, that is, resources, and environmental complexity characteristics, that is, demands.
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The Covid-19 pandemic interrupted Bangsaen Beach activities and disturbed livelihoods of small business operators. Before the pandemic, Bangsaen tourism experienced issues of beach quality degradation due to overcrowding, competitive vending, and lack of diversification. After the pandemic, the municipality imposed new regulations, reset zones to safeguard the public health, and jump-started the economy. The changing regulations created conflicts with vendors on zoning rearrangements and reduced sales. The author conducted a survey to investigate the beach activities, the local small business operations, and the local authority's regulation changes. The survey results indicated that Bangsaen needs alternative attractions to complement its beach activities and to help cope with traffic congestion. The results also find out the social disparity in the demography of the vendors, which calls for attention to gender aspects and inclusive facets in the social infrastructure development strategy. This study suggests that vendors collaborate collectively with the local government to challenge the appropriation of beach spaces and to create innovative tactics. In addition, destination management organizations need to strive for better collaboration with small business operators to help them adapt to the change and enter the formal economy.
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Impulse buying is such a craving that satisfies the happiness of an individual. The tendency of a customer to buy goods and services without prior planning is known as impulsive buying. When a customer makes such impulsive purchases, it is usually motivated by emotions and feelings. This study dives into the factors that lead to impulsive purchases. The study showcases insights from 118 individuals and their views on different situations which go alongside in the flow of an impulsive purchase. The data that was studied from secondary research and interactions with individuals helped in identifying key findings with the help of different methods used to do it. Based on these findings, we propose 'Curbit' a solution to curb the impulsiveness while buying. This solution utilizes technologies such as OCR (Optical Character Recognition) reading, image processing and data analytics. The concept is yet to be prototyped and validated which will be the next step to perform. © 2022 ACM.
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The aim of this study is to depict the performance of Russian manufacturing subsidiaries of multinational corporations during the first year of the COVID-19 pandemic. Using a unique handcrafted database of financial reports from 259 subsidiaries for 2019 and 2020, we retraced three indicators of business robustness: the dynamics of revenues, positive profitability, and the level of financial solvency. Most of the studied subsidiaries (85%) were able to withstand the crisis and maintain satisfactory financial solvency. Revenues decreased in 2020 to 40% of the studied subsidiaries, and the share of loss-making subsidiaries reached 31%. However, more than 40% of the studied subsidiaries achieved both an increase in revenues and positive profitability of sales in 2020. In this respect we may assess the level of ‘ownership advantage' of multinational corporations regarding assisting their subsidiaries to achieve different elements of business robustness during the pandemic.
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The retail and wholesale sector has been hit hard by the coronavirus pandemic, leading to a major sector transformation. In this study, we analyse the factors of firm-level e-commerce adoption and expansion in response to the COVID-19 pandemic and pay special attention to the regional level determinants of e-commerce. We use the data provided by the EBRD-EIB-WB Enterprise Survey that includes about 18,000 observations for firms in Central and Eastern Europe (CEE) and Central Asia (CA) and approximately 1000 observations in Russia. We use the probit and weighted probit estimation techniques. Our central hypothesis states that while large cities are usually seen as drivers of the expansion of e-commerce, lagging regions are catching up with the leading regions in the adoption of e-commerce. The study shows that firms in regions with lower levels of e-commerce before COVID-19 and firms in large cities were more likely to adopt e-commerce during the pandemic, which evidences a convergence in e-commerce between Russian regions. In contrast to the firms in CEE and CA countries, export market orientation and supply chain signals do not foster e-commerce adoption in Russia. This can be explained by weak development of subcontracting networks and low participation of small and medium-sized firms in cooperative relationships in Russia. Regarding policy implications, we argue that policy measures should focus on the distribution of low-cost solutions aiming to decrease entry barriers, liberalise domestic markets for entrance of foreign platforms in Russia, and support the development of domestic platforms. © Fedyunina A. A., Gorodnyi N. A., Simachev Yu. V., Drapkin I. M. Text. 2022.
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In recent years, some phenomena such as the COVID-19 pandemic have caused the autonomous vehicle (AV) to attract much attention in theoretical and applied research. This paper addresses the optimization problem of a heterogeneous fleet that consists of autonomous electric vehicles (AEVs) and conventional vehicles (CVs) in a Business-to-Consumer (B2C) distribution system. The absence of the driver in AEVs results in the necessity of studying two factors in modeling the problem, namely time windows in the routing plan and different compartments in the loading space of AEVs. The arrival and departure times of the AEV at the customer’s location must be pre-planned, because, the AEV is not able to decide what to do if the customer is late at this point. Also, due to increasing the security of the loads inside the AEVs and the lack of control of the driver during the delivery of the goods, each customer should only have access to his/her orders. Therefore, the compartmentation of the AEV’s loading area has been proposed in its conceptual model. We developed a mathematical model based on these properties and proposed a hybrid algorithm, including variable neighborhood search (VNS) via neighborhood structure of large neighborhood search (LNS), namely the VLNS algorithm. The numerical results shed light on the proficiency of the algorithm in terms of solution time and solution quality. In addition, employing AEVs in the mixed fleet is considered to be desirable based on the operational cost of the fleet. Author
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Digital transformation is radically impacting on society and market by disclosing unexpected implications for scholars and practitioners. As enablers of a pervasive innovation process, digital transformation relies on different categories of digital technologies with a breakthrough profile. Among them, phygital arises as a promising topic defined as the use of technology to bridge the digital with the physical world with the purpose of providing a unique interactive experience for the user. Due the actuality of the issue, the literature on phygital is fragmented and far from a full understanding of its meaning and implications. Moving from these premises, our research attempts to analyse the current state of the debate about the promising role of phygital environment to identify how digital technologies are transforming physical world. At this aim, a critical literature review is performed to identify how the customer experience is undergoing a renaissance due to the Covid-19 pandemic that forced organisations to improve the customer experiences. Our findings allow to identify main trends in the academic debate as grouped into five main clusters, related to the adoption of phygital technologies for: i) Marketing and Consumers' Behaviour;ii) Cultural Heritage, Tourism and Urban Development;iii) Education and Learning;iv) Social issues and Politics;v) Technical and Legal Issues. These areas are linked together showing how the different phygital environments lead to the provisions of novel and immersive experience for customers involved into strategic industries such as retail, tourism and education. Directions for future research and management implications are finally provided. © 2023 Elsevier Inc.