Managing the effectiveness of e-commerce platforms in a pandemic

Examining older adults' vulnerability to online health scams: insights from routine activity theory

Introduction

Online health fraud has emerged as a significant digital risk for older adults in China, leading to considerable financial losses. This study aims to investigate the mechanisms underlying health fraud targeting and victimization among older adult populations, refining Routine Activity Theory (RAT) to account for the distinct stages of fraud exposure and victimization.

Methods

A survey was conducted among retired individuals in July 2022. After removing incomplete responses, the final sample consisted of 471 participants. The survey assessed digital behavior patterns, exposure to promotional messages, health conditions, and fraud-related experiences.

Results

The findings revealed that older adults who installed numerous mobile applications, frequently used social networking sites, and engaged in risky online behaviors were more likely to be targeted by health fraud. Additionally, exposure to promotional messages-both online and offline-and the presence of chronic diseases were significantly associated with increased fraud exposure. Regarding victimization, younger family intervention was found to mitigate financial losses, whereas older adults with limited digital protection skills experienced a higher likelihood of falling victim after exposure.

Discussion

This study refines the Routine Activity Theory by conceptualizing online health fraud as a two-stage process: exposure and victimization. The results highlight both digital behavior and offline contextual factors in shaping fraud vulnerability among older adults. The findings contribute to the theoretical understanding of cybercrime targeting the older adult and offer practical insights for designing preventive interventions tailored to this vulnerable population.

E-commerce of Peruvian SMEs: Determinants of internet sales before and during COVID-19

The COVID-19 pandemic accelerated the adoption of e-commerce among Peruvian small and medium enterprises (SMEs), prompting a sudden shift from traditional physical marketplaces to online sales. Before the pandemic, many businesses were beginning to adopt ICTs but only 8.1 % were selling their products and services online. The study aims to analyze the determinants of online sales in Peruvian SMEs in 2019, and the factors that contributed to the rise in online sales during the first year of the COVID-19 pandemic. The Peruvian National Enterprise Survey 2019 was used to evaluate the e-commerce adoption behavior of SMEs during 2019 and 2020. To analyze the determinants and factors, Heckman two step model was employed. The findings revealed that digital readiness was crucial for adopting online sales, but not significant for scaling sales during the pandemic; the rise in sales during the social lock-down period necessitated the implementation of a unique product delivery approach many times using own vehicle and bearing in mind informal competition. In essence, digital readiness played a critical role in enabling Peruvian SMEs to adopt online sales, but its impact was limited when it came to scaling sales during the pandemic. This research contributes to the existing literature by highlighting the unique challenges and opportunities faced by SMEs in a developing economy during a global crisis. The implication of this study highlights the need for CEOs at SMEs to prioritize digital readiness, as well as rebuild from the economic impacts of any crisis.

Influence of platform satisfaction on the willingness to use a new platform

This study focuses on the newly created online shopping platform for cosmetics and skincare, and based on the perceived value theory and rational behavior theory. It constructs a mechanism model between platform satisfaction, customer perceived value, and personal subjective willingness. It also conducts regression analysis on the collected 540 sample data and finds that: platform satisfaction will have an impact on the willingness to use the new platform, and customer perceived value and individual subjective willingness play a mediating role. In addition, after empirical testing, it finds that: platform use cost has a higher impact on the willingness to use the new platform than platform use risk. Customer-perceived value plays a higher mediating role than individual subjective willingness. These conclusions can provide practical reference for the construction of new cosmetics and skincare platforms as well as the reform and innovation of traditional cosmetics and skincare platforms.

Health welfare in the digital era: Exploring the impact of digital trade on residents' health

As a product combining information and communication technology, digital technology, and traditional trade, digital trade represents a new form of international trade development in the context of economic globalization. As its scale continues to expand, digital trade not only profoundly impacts consumer health behaviors and environmental pollution control but also enhances opportunities for residents to access healthcare products and services. This could potentially have a significant promoting effect on residents' health levels. However, the extent and mechanisms through which digital trade affects residents' health remain unclear. Accordingly, this study fills in a gap in the research by calculating the provincial-level digital trade index for China from 2012-2020 and matching it with data from the China Family Panel Studies. The goal is to find the micro-causal mechanisms of digital trade on residents' health from green consumption and environmental improvement perspectives. The results show that digital trade reduces residents' medical expenses and improves their health. We use a quasi-natural experiment by treating the cross-border e-commerce comprehensive pilot zone as a digital trade treatment group and conducting a difference-in-differences estimation, finding that the health effects of digital trade remain significant. Heterogeneity indicates that the health effects of digital trade are powerful for middle- and high-income households and rural residents. In the east and center, in regions with well-developed transportation infrastructure and digital financial inclusion, the development of digital trade is more conducive to residents' health. Additionally, we demonstrate that digital trade can affect residents' health by promoting green consumption, eliminating energy poverty (i.e., improving indoor air pollution), and enhancing environmental quality (i.e., improving outdoor environmental pollution). This study provides solid scientific empirical evidence for enhancing human sustainable development through global digital trade.

Public health events and economic growth in a neoclassical framework

Public health events (PHEs) have emerged as significant threats to human life, health, and economic growth. PHEs, such as COVID-19, have prompted a reevaluation for enhanced regular prevention and control (RPC). In this study, we focus on the core concept of prevention and control intensity (PCI), and establish a neoclassical economic growth model from the long-term and macro perspective to balance life protection and economic growth. The model construct the mechanism of PCI on economic growth through population dynamics and capital accumulation under the backdrop of RPC for PHEs. We find the conditions for PCI when the economy achieves steady state, and provides an algorithm establishing the optimal strategy that maximises per capita disposable income based on the optimal PCI and consumption. Simulation result quantifies an inverted U-shaped relationship between PCI and capital per capita, output per capita and consumption per capita in the steady state. The model suggests that, given the PHEs of inducing potential unemployment shock, it is worthwhile to combine the implementation of moderate PCI with coordinated policies of income distribution.

Social media heterogeneity and preventive behaviours during the COVID-19 outbreak: a survey on online shopping

BACKGROUND

Residents' adoption of preventive behaviours proved beneficial in preventing the large-scale transmission of the virus during the early stages of the COVID-19 outbreak. It is critical to investigate how social media triggers residents' preventive behaviour decisions during the COVID-19 outbreak.

METHODS

This paper selected online shopping as a specific preventive behaviour for empirical investigation. An online cross-sectional survey was conducted through the Sojump website from 1 to 15 March 2020, and a total of 1,289 valid questionnaires were collected from China. This paper uses multiple regression analysis to investigate the heterogeneous impacts of different information sources on residents' online shopping willingness and online shopping behaviour and the heterogeneous impacts of different information content in social media on the transformation of residents' online shopping willingness and online shopping behaviour.

RESULTS

The findings indicate that both official-media and self-media positively promote residents' online shopping willingness and behaviour, with official-media having a stronger promotional effect than self-media. Furthermore, official-media and self-media can collaboratively promote residents' online shopping willingness and online shopping behaviour. The ease-of-use and usefulness of information significantly promoted the transformation of residents' online shopping willingness.

CONCLUSIONS

This study analyses the heterogeneous impacts of social media on residents' preventive behaviours from the perspectives of information source differentiation and information content differentiation, which enriches related studies and provides feasible paths for promoting residents' preventive behaviours.

Post-COVID-19's impact on green supply chain management and sustainable E-commerce performance: the moderating role of big data analytics

This study investigates the relationship between COVID-19 and the adoption of green supply chain management practices (GSCM) in the Pakistani e-commerce industry. It also assesses the impact of these practices on ecological sustainability across three dimensions and explores the role of big data analytics (BDA) in enhancing them after the pandemic. The research utilized partial least squares structural equation modeling to evaluate data and test hypotheses. The research sample was composed of 390 managers operating within Pakistan's e-commerce industry. The study's preliminary findings reveal that COVID-19 has positively influenced the adoption of GSCM practices, which are moderated by BDA. Implementing GSCM has a positive impact on the perceived environmental and social resilience of e-commerce enterprises, but no significant effect on their perceived economic resilience. Additionally, GSCM acts as a mediator in the relationship between the impact of COVID-19 and the perceived environmental and social resilience of e-commerce firms, but not for economic resilience. This research focuses on Pakistan's e-commerce industry and investigates how COVID-19 affects the adoption of eco-friendly supply chain practices. It measures the impact of these practices on ecological sustainability using three dimensions. The study also examines how BDA can improve the adoption of GSCM in e-commerce, offering new insights into sustainability during and post-pandemic. The results recommend that the e-commerce industry can use BDA and GSCM practices to improve e-commerce sustainable performance. This is initial research that integrates COVID-19 impact, BDA, GSCM practices, and e-commerce sustainability in a single framework that was overlooked previously.

Applied artificial intelligence: Acceptance-intention-purchase and satisfaction on smartwatch usage in a Ghanaian context

Technology and its continuous advancement facilitate human beings to get rid of their criticality and limitation. Applied artificial intelligence (AAI) is one of the latest forms that delimited the limitation of human beings. Smartwatch acts as an applied artificial intelligence to assist various patients to check medical care without going to hospital and physicians. This (three) multiple-study research focused on the intention to use, purchase, and their satisfaction and spread positive word of mouth among others in the Ghanaian. To investigate these issues two renowned theories were underpinned- TAM theory and the Stimulus-Organism-Response (S-O-R). Total 550, 320, and 170 respondents were interviewed with Google forms due to COVID-19 using social media. AI-enabled smartwatch considering Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Perceived Credibility (PC), Perceived Self-Efficacy (PSE), and Perceived Financial Cost (PFC) were significant on intention to adoption and adoption intention on actual purchase. The final study showed device quality, its service level, their usage experience, perceived value, and the extent to which the satisfied customers made positive word of mouth to their friends and family, colleagues and followers. This research is significant in understanding the usage of AI-enabled smartwatches as a device doctor or electronic doctor (e-doctor).

How has COVID-19 impacted the economic resilience of retail clusters?: Examining the difference between neighborhood-level and district-level retail clusters

The spread of COVID-19 greatly restricted physical and economic activities in global cities due to growing fears of infection and lockdown policies. Accordingly, the transfer of shopping activities from traditional markets to e-commerce has accelerated. Urban retail has substantially declined by competing with these disrupting factors, but resilience capabilities are known to vary by scale and regional characteristics. This study identifies which types of retail clusters were more resilient to the economic shock caused by the pandemic. This research focuses on the changes in online and in-store sales and how retailers recovered differently at the neighborhood and district levels in 2019 and 2020. This research compares the resilience of two types of retail clusters by calculating the loss of resilience and online adaptivity. The findings suggest that neighborhood-level retail areas were more resilient and bounced back in sales at a faster rate than district-level retail areas during the pandemic. These findings suggest that retail clusters are more resilient if they have steady populations and low-rent loads and can accommodate online shopping. The study contributes theoretical insights into how sales have changed and how e-commerce has increased the resilience of retail clusters throughout the pandemic by examining in-store and online sales.

Developing personas for live streaming commerce platforms with user survey data

Live streaming commerce has emerged as a novel form of online marketing that offers live streaming commerce platforms a means of meeting different user groups' needs. The objective of this article is to examine the effects of age and gender on live streaming commerce platform usage and investigate user characteristics of these platforms in China. This study adopted a data-driven persona construction method combining quantitative and qualitative methods through the use of survey and interview. The survey involved 506 participants (age range = 19-70), and the interview involved 12 participants. The survey findings showed that age significantly affected users' livestream platform usage, while gender did not. Younger users had higher device proficiency and operation numbers. With more trust and device use, older users used the platforms later in the day than younger users. Interview findings revealed that gender affected users' motivations and value focus. Women tended to use the platforms as a means of entertainment. Women valued service quality and enjoyment more, while men focused on the accuracy of product information more. Four personas with significant differences were then constructed: Dedicated, Dependent, Active and Lurker. Their various needs, motivations and behavior patterns can be considered by designers to elevate the interaction of live streaming commerce platforms.

Remanufactured products: A systematic review from the consumer perspective

Remanufactured products (RPs) have received more attention from consumers, academics, and practitioners in recent years. The current study presents a comprehensive systematic review of the literature on consumer behavior toward RPs while adopting the theory, context, characteristics, and methodology (TCCM) framework. We followed the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol. In total, retrieved from Web of Science, Scopus, and ScienceDirect, we reached and analyzed 53 articles that directly address the purchase behavior of RPs. Studies mostly considered electronic RPs and used the theory of planned behavior to explain consumers' intention to purchase RPs. Moreover, the reviewed studies are primarily quantitative. Our review categorized the characteristics of the articles, such as consumer-related constructs, marketing mix-related constructs, and external environment-related constructs. Finally, we offer directions for future research based on the components of the TCCM framework to contribute to the development of the field.

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.

In-person, pick up or delivery? Evolving patterns of household spending behavior through the early reopening phase of the COVID-19 pandemic

Consumer reactions to COVID-19 pandemic disruptions have been varied, including modifications in spending frequency, amount, product categories and delivery channels. This study analyzes spending data from a sample of 720 U.S. households during the start of deconfinement and early vaccine rollout to understand changes in spending and behavior one year into the pandemic. This paper finds that overall spending is similar to pre-pandemic levels, except for a 28% decline in prepared food spending. More educated and higher income households with children have shifted away from in-person spending, whereas politically conservative respondents are more likely to shop in-person and via pickup.

The mediating role of exogenous shocks in green purchase intention: evidence from italian fashion industry in the Covid-19 era

This work investigates how the COVID-19 outbreak has affected consumers’ green purchasing intention in the fashion industry. It examines how this exogenous shock has influenced the relationship between consumer green purchasing intention and its three relevant antecedents (environmental knowledge (EK), environmental concern (EC), eco-friendly behaviour (EFB)). A survey of 1433 Italian consumers was carried out. The data were analysed through a structural equation modelling method to evaluate the direct and indirect mediating effects of the COVID-19 shock on the relationship between green purchasing intention and its antecedents (i.e., EK, EC and EFB) by considering traditional and online purchasing channels. The results of the model confirmed a positive relationship between green purchasing intention and its antecedents. The COVID-19 pandemic was also found to positively mediate the relationship between green purchase intention and two out of its three antecedents (i.e., EK and EC) in both traditional and online purchasing channels. This paper contributes to the literature on sustainable consumption by assessing magnitude of the relationship between green purchasing intention and its antecedents, and the mediating role exerted by a complex exogenous shock such as the COVID-19 outbreak.

Has Covid-19 permanently changed online purchasing behavior?

This study examines how the COVID-19 pandemic has affected online purchasing behavior using data from a major online shopping platform in Japan. We focus on the effect of two measures of the pandemic, i.e., the number of positive COVID-19 cases and state declarations of emergency to mitigate the pandemic. We find that both measures promoted online purchases at the beginning of the pandemic, but in later periods, their effect faded. In addition, online purchases returned to normal after states of emergency ended, and the overall time trend in online purchases excluding the effects of the two measures was stable during the first two years of the pandemic. These results suggest that the effect of the pandemic on online purchasing behavior is temporary and will not persist after the pandemic.

Supplementary Information

The online version contains supplementary material available at 10.1140/epjds/s13688-022-00375-1.

Sustainability Transitions in E-commerce Research-Academic Achievements and Impediments

To date, the COVID-19 pandemic has led to the blossoming of e-commerce, which has brought both advantages and impediments to a more sustainable future. The central aim of sustainability transitions (ST) research conceptualizes and explains how radical changes can occur in the way that societal and environmental functions are fulfilled. Embedding ST logic with e-commerce could help us understand the current standing of e-commerce, and lead to solutions applied from its implications. However, there is a lack of research that pivots ST into the context of e-commerce. Thus, this paper fills the gap by conducting a comprehensive literature review to look into how the current e-commerce research fits into the ST framework. We find that the current sustainable e-commerce research is unevenly scattered alongside different dimensions, and there is an urgency to employ government power and drive public awareness. This paper extends the scope of ST into the e-commerce context; solutions for practitioners to achieve effective governance have been particularly emphasized.

Web design and trust as moderators in the relationship between e-service quality, customer satisfaction and customer loyalty

Purpose

This research aims to investigate the effects of e-service quality on customer satisfaction and customer loyalty. The moderating effects of web design and trust in the relationship between e-service quality and customer satisfaction are also explored.

Design/methodology/approach

A conceptual model involving various dimensions of e-service quality, customer satisfaction, loyalty, price perception and web design is developed, and hypothesized relationships are tested using Hayes’s PROCESS macros. A survey instrument and data from 650 respondents who are regular e-buyers from the southern part of India are used.

Findings

The results indicate that e-service quality positively relates to customer satisfaction and loyalty. The findings also suggest that price perception and trust are vital in enhancing customer satisfaction. Further, the indirect effect of e-service quality on customer loyalty through customer satisfaction is supported. Finally, web design (first moderator) and trust (second moderator) significantly influence the relationship between e-service quality and customer satisfaction.

Research limitations/implications

This research underscores the importance of e-service quality, web design, and trust in influencing customer satisfaction. Based on the findings from this study, e-retailers are suggested to discover the methods of building and improving customer trust and create a web design that is appealing to the customer to enhance satisfaction and loyalty. Some of the limitations of this study include common method bias and social desirability bias. However, the authors have taken adequate care to minimize these biases.

Originality/value

This paper used the e-service quality model and investigated the consequences of e-service quality during the post-pandemic new normal period in a developing country (India). The double moderation of web design and trust is a novel idea that previous researchers have not explored to the best of the authors' knowledge and makes a significant contribution to service marketing. In addition to providing resounding evidence of direct relationships, the three-way interaction investigated in this study makes this study unique and pivotal.

A typology of Jordanian consumers after Covid-19: The rational, the suspicious, and the cautious consumer

This study presents a detailed typology of Jordanian consumers that identifies the effects of Covid-19 on their personal, social, and purchase and consumption patterns following the pandemic. Based on a qualitative approach using a sample of Jordanian consumers (N = 71), this study identifies three main types of consumers: the rational, suspicious, and cautious. All were distinguished by cognitive, emotional, and behavioral differences: the rational consumers viewed the pandemic as a natural occurrence, were willing to vaccinate, and took the opportunity to improve their lives and consumption behavior; the suspicious consumers viewed the pandemic as a man-made virus and refused to rationalize their behaviors and follow the social-distancing rules or vaccinate; and the cautious consumers were generally somewhere in between, and while they improved some aspects of their consumption, social, and personal lives, other aspects either remained the same or worsened. The findings have implications for managers and governmental bodies.

The impact of COVID-19 on the evolution of online retail: The pandemic as a window of opportunity

Pandemic-related shocks have induced an unexpected volatility into the evolution of online sales, making it difficult for retailers to cope with frequently occurring, drastic changes in demand. Relying on a socio-technical approach, the purpose of this paper is to (a) offer a deeper insight into the driving forces of online sales during the pandemic, and (b) investigate whether pandemic-related shocks accelerate the long-term growth of online retail. Novel, high-frequency data on GPS-based population mobility and government stringency is used to demonstrate how time spent in residential areas and governmental restrictions drive the monthly evolution of online sales in 23 countries. We deconstruct these effects into three main phases: lure-in, lock-in, and phase-out. Lastly, using time series analysis, we show that the pandemic has induced a level shift into the long-term growth trend of the online retail sector in the majority of countries investigated.

Investigating the COVID-19 vaccine discussions on Twitter through a multilayer network-based approach

Modeling discussions on social networks is a challenging task, especially if we consider sensitive topics, such as politics or healthcare. However, the knowledge hidden in these debates helps to investigate trends and opinions and to identify the cohesion of users when they deal with a specific topic. To this end, we propose a general multilayer network approach to investigate discussions on a social network. In order to prove the validity of our model, we apply it on a Twitter dataset containing tweets concerning opinions on COVID-19 vaccines. We extract a set of relevant hashtags (i.e., gold-standard hashtags) for each line of thought (i.e., pro-vaxxer, neutral, and anti-vaxxer). Then, thanks to our multilayer network model, we figure out that the anti-vaxxers tend to have ego networks denser (+14.39%) and more cohesive (+64.2%) than the ones of pro-vaxxer, which leads to a higher number of interactions among anti-vaxxers than pro-vaxxers (+393.89%). Finally, we report a comparison between our approach and one based on single networks analysis. We prove the effectiveness of our model to extract influencers having ego networks with more nodes (+40.46%), edges (+39.36%), and interactions with their neighbors (+28.56%) with respect to the other approach. As a result, these influential users are much more important to analyze and can provide more valuable information.

Factors impacting behavioural intentions to adopt the electronic marketplace: findings from small businesses in India

The pandemic has accelerated e-commerce adoption for both consumers and sellers. This study aims to identify factors critical to the adoption of electronic markets (EM) during the pandemic, from the perspective of small sellers in non-metro cities. The research design utilizes core dimensions of the UTAUT model and selected constructs from protection motivation theory; since business closure vulnerability also triggers electronic market adoption. A questionnaire survey method was used to collect data from 150 sellers from tier-II/III cities of India. Study results identified performance expectancy, effort expectancy, social influence and perceived vulnerability as significant determinants of behavioural intention towards adoption of EM. The findings also explain the moderating impact of sellers' awareness of information technology and merchants' age on behavioural outcomes. Given the growing demands from such cities, the research offers insights for marketers to understand the bottlenecks and ways to motivate small sellers to get associated with EMs.

Modeling Intention-Based Critical Determinants of E-Commerce Utilization: Emerging Business Models and Transformation in the Digital World

Companies in the world today understand that keeping users in touch is essential to enhancing their trust. The primary objective of this study was to determine the intention-based critical determinants of E-commerce utilization in China from the end users' perspective. We developed a framework that identifies the factors that influence E-commerce utilization in China. Besides, we introduced observational research (data analysis) conducted in a real-world E-commerce sense. Results are based on a sample of 400 respondents by employing a comprehensive questionnaire survey. The structural equation modeling (SEM) and the partial least squares (PLS) regression approach was used to analyze the data. Study results show that perceived usefulness, perceived ease of use, reputation, trust in vendors, and purchase frequency significantly influence consumers' intention to use E-commerce systems. Research outcomes emphasize transforming social norms, raising consumers' awareness, redesigning policy frameworks, and highlighting the paybacks that E-commerce offers through integrative and consistent efforts.

Global Research Trends in Consumer Behavior and Sustainability in E-Commerce: A Bibliometric Analysis of the Knowledge Structure

Consumers are conscious of increasing online purchases and demand sustainable consumption friendly actions. Although there is increasing interest in this topic, the research status, development, and structure of consumer behavior and sustainability in e-commerce research is scarce. This study aims to analyze the intellectual, conceptual, and social knowledge of consumer behavior and sustainability in e-commerce research to generate new understandings. Data from 104 articles were collected from the Scopus database, and a bibliometric analysis was conducted. Results revealed a close relationship between the topic and city logistics, big data analysis, customer engagement, circular economy, online services, and omnichannel retail, showing the different research approaches and the transversal themes related to the topic. This study contributes to the sustainability academic research by identifying trends and suggesting future research topics.

Repurchase intentions of new e-commerce users in the COVID-19 context: The mediation role of brand love

The use of e-commerce has exploded due to the impact of COVID-19. People with no experience in e-commerce prior to the COVID-19 pandemic began online shopping for their safety following the pandemic outbreak. As such, these newly joined customers have played a vital role in the rapid development of e-commerce. Maintaining these customers and increasing their repurchase intention is a core issue for e-commerce platform companies. Thus, using new e-commerce users as the participants, this study investigated the structural relationship between brand experience, brand emotional factors (brand attachment and brand love), brand loyalty, and repurchase intention with brand love as the mediator. Research on the multidimensional brand experience (i.e., sensory, emotional, behavioral, and cognitive) from Chinese customers' perspective is still lacking, and our study attempts to fill this gap. A structured questionnaire and hypotheses were designed based on studies and survey of 310 respondents from China in this study. The study results show that, first, the four dimensions of brand experience have a significant positive correlation with brand emotion, with brand cognitive experience having the greatest impact on consumer brand emotion. Second, the influence of brand emotion on brand loyalty is positive and significant, and brand attachment has a stronger influence than brand love on brand loyalty. In addition, brand loyalty has a positive effect on repurchase intention. Finally, brand love plays a mediating role on the relationship between brand attachment and brand loyalty. To enhance customers' brand attachment and love for e-commerce platforms, companies must enhance customers' interest and curiosity in their products. And companies will improve their services to customers by introducing artificial intelligence algorithms to increase customers' repurchase intention, which will ultimately increasing their profitability. This study contributes to the development of e-commerce platform companies.

Trends and Perspectives of Romanian E-Commerce Sector Based on Mathematical Simulation

The current economic environment characterized by the implementation of new ICT technologies, globalization, and the pandemic period has determined the growth of online communication, the development of the e-commerce sector, and the change in online consumer behavior. The research aims to analyze online Romanian consumer behavior trends and perspectives. In order to observe the current position of Romanian online commerce, a comparison was made between the Romanian e-commerce market and three other e-commerce groups: the average for EU-27 countries, the group of four countries with the highest e-commerce values (called 4gc—Denmark, the Netherlands, Germany, and Norway) and the country with the lowest values in e-commerce. A comparison was made using mathematical simulation to predict the potential of e-commerce in the future and identify possible risks. Based on the simulation, the results show that the Romanian e-commerce market can continue to grow, becoming mature, and will provide opportunities for sustainable growth. In order to observe and analyze a possible future for 2021–2026, the regression function, correlation matrix, time series analysis, variable maximization, and QM for the Windows program have been implemented. The graphical representation indicates a positive and growing forecasted future trend for Romanian e-commerce.

Analysis and Forecast of the Use of E-Commerce in Enterprises of the European Union States

This study analyzes the use of e-commerce by European Union enterprises. Based on an analysis of the evolution of the percentage of enterprises that perform e-commerce and the share of total turnover obtained from e-commerce, for the period of 2003–2020, a forecast for 2025 was made. These aspects were analyzed for 2015–2020 from the perspective of the Digital Economy and Society Index (DESI), highlighting the importance of e-commerce in the economic growth of each country by analyzing the share of gross domestic product (GDP) obtained from e-commerce in GDP. For studying the evolution of the indicators, a comparative analysis of the situation of individual and aggregate EU countries was performed, highlighting the evolution trends and determining the annual average growth rate indicator, used later for the short-term forecast. For the 2025 forecast, six regression models were used for the empirical estimation of the data. The results of the analysis show that the share of companies performing e-commerce and the turnover in e-sales vary significantly depending on the size of enterprises, and the results of the forecast estimate that by 2025 there will be a significant increase in e-commerce in most European countries.

Benchmarking sustainable E-commerce enterprises based on evolving customer expectations amidst COVID-19 pandemic

The 2019 coronavirus disease (COVID-19) pandemic has seriously impacted the performance of all types of businesses. It has given a tremendous structural boost to e-commerce enterprises by forcing customers to online shopping over visiting physical stores. Moreover, customer expectations of the digital and operational capabilities of e-commerce firms are also increasing globally. Thus, it has become crucial for an e-commerce enterprise to reassess and realign its business practices to meet evolving customer needs and remain sustainable. This paper presents a comprehensive performance evaluation framework for e-commerce enterprises based on evolving customer expectations due to the COVID-19 pandemic. The framework comprises seven primary criteria, which are further divided into 25 sub-criteria, including two sustainability factors, namely, environmental sustainability and carbon emissions. The evaluation approach is then practically demonstrated by analyzing the case of three Indian e-commerce firms. The results are obtained using a multi-criteria decision-making (MCDM) method, namely, Fuzzy VIKOR, to capture the fuzziness of the inherent decision-making problem. Further, numerical analysis is conducted to evaluate and rank various e-commerce enterprises based on customer expectations and satisfaction benchmarks. The findings explain the most important criteria and sub-criteria for e-commerce businesses to ensure customer expectations along with their economic and environmental sustainability.

A Bibliometric Analysis and Systematic Review on E-Marketplaces, Open Innovation, and Sustainability

In recent years, the rise of e-commerce has prompted the emergence of electronic marketplaces, or e-marketplaces, which act as intermediaries in the buying and selling process, bringing together several vendors to offer a wide range of products and services to customers, generating modalities such as business-to-business (B2B), business-to-consumer (B2C) or consumer-to-consumer (C2C) e-marketplaces. E-marketplaces offer advantages such as access to potential buyers, business and product visibility, the reduction of transaction costs, the comparison of offers and prices among competitors, and the ease of business internationalization. However, the success of e-marketplace business models depends on the sustainability of these platforms, which must involve different stakeholders in order to meet economic, environmental, and social objectives. Therefore, this study presents a bibliometric analysis and systematic review of e-marketplaces, open innovation, and sustainability for the last ten, five, and two years. The analysis includes the number, types, and subject areas of documents published each year, as well as considerations such as the most-cited publications and the leading authors, journals, countries, and institutional affiliations. The analysis also includes a study of the relevant concepts in the publications and their relationships, identifying the predominant topics related to e-marketplaces, open innovation, and sustainability. The results indicate a focus on subject areas such as social sciences, environmental sciences, energy, business, management, and accounting, which is consistent with the economic, environmental, and social dimensions of sustainability. The findings show that e-marketplaces, open innovation, and sustainability are closely related to concepts such as sustainable development, e-commerce, digital marketing, China (the leading country in terms of publications in all periods), logistics, supply chain management, big data, planning, and decision making. Future works should address traffic congestion and environmental impact, new delivery practices in last-mile logistics, and the motives for users’ engagement in e-marketplaces. Likewise, future research can be oriented toward sustainability dimensions and stakeholders’ integration through open innovation and toward the limitations of SMEs in order to access and benefit from digital platforms.

Do liberals want curbside pickup more than conservatives? Contactless shopping as protectionary action against the COVID-19 pandemic

Consumers showed a dramatically increased interest in contactless shopping in reaction to the COVID-19 pandemic. Based on the protection motivation theory, this study investigated how contactless shopping grew as a protectionary action against COVID-19. Findings from a nationwide online survey (n = 311) confirmed the impact of politicization of the pandemic on consumer responses for contactless shopping intention and the significance of threat and coping appraisals in taking protectionary actions. This study adds knowledge to the existing literature on contactless shopping and protection motivation theory. Results imply that retailers must invest in contactless shopping and provide an in-store shopping environment that prioritizes the health and safety of shoppers and employees to decrease the threat of virus infection during shopping. However, in doing so, retailers are recommended to develop different marketing strategies regarding contactless shopping based on consumers' political orientations.

Construct and Priority Ranking of Factors Affecting Crowdfunding for Green Products

This article aims to target the key factors that could positively affect crowdfunding success for green products in order to promote crowdfunding efficiency and green supply chain management. Methods: Data were collected through expert interviews and questionnaires and then processed through analytic hierarchy process (AHP) analysis. Statistical tool: This study used Expert Choice as the software for AHP analysis. Sampling: There were 20 participants (20 effective) in pretesting and 30 (23 effective) in formal testing. Participants were followers of green products in Taiwan. Results: (1) Twenty-four factors were abstracted to form the final construct; (2) the 24 key factors could be divided into 2 hierarchies, with 5 primary factors and 19 secondary factors; (3) among the 5 primary factors, “green diversified context” was the most influential; (4) among the 19 secondary factors, “product material is safe and non-toxic” was the most important. Conclusions: Funders would be likely to finance green products on crowdfunding platforms if these products fit the 24 key factors in orders. Implications: This research contributes to product life cycle theory and crowdfunding theory and practically improves the sustainability of green products.

Travel-Business Stagnation and SME Business Turbulence in the Tourism Sector in the Era of the COVID-19 Pandemic

The COVID-19 pandemic, apart from having an impact on public health, has also caused the stagnation of travel-bureau businesses and the management of small and medium enterprises (SMEs) in the tourism sector. This study aims to analyze the COVID-19 pandemic as a determinant of travel-business stagnation and turbulence in small and medium enterprises (SMEs), the influence of human resources, business development, and product marketing on the productivity of the travel and SME business, the direct and indirect effects of business innovation, economic digitization, and the use of technology on business stability and economic-business sustainability. This study uses an explanatory sequential qualitative–quantitative approach. Data were obtained through observation, in-depth interviews, surveys, and documentation. This study is focused on assessing the efforts made by travel-agency-business actors and SMEs in responding and adapting to changes in the business environment, both internally and externally. Human resources, business development, and product marketing together affect the productivity of travel agents and SMEs with a coefficient of determination of 95.84%. Furthermore, business innovation, economic digitization, and the use of technology simultaneously affect business stability with a coefficient of determination of 63.8%, and business stability affects the sustainability of travel and SMEs with a coefficient of determination of 67.6%. This study recommends a strategy for travel-agency-business sustainability and the stability of SMEs’ economic-business management towards increasing economic growth in the North Toraja Regency, South Sulawesi, Indonesia.

The Impact of COVID-19 on Food Consumption and Dietary Quality of Rural Households in China

The COVID-19 pandemic disrupted the food supply chain and thus threatened the food security of many people, while the impact of the pandemic on food consumption of people living in rural areas is still unknown. This study filled in the research gaps by employing a three-wave food consumption survey from 2019 to 2021 conducted in rural China. We adopted a random effect model and Poisson regression to quantify the short-run and long-run impacts of COVID-19 on rural households' food consumption and dietary quality. We found that rural households increased the consumption of vegetables, aquaculture products and legumes in the short-run, and these changes in consumption behavior even lasted 1 year after lockdown was lifted. However, the positive impact was much smaller in households not engaged in agricultural production. In addition, our results showed that COVID-19 decreased dietary diversity but increased dietary quality for households still engaged in food-related agriculture production. Our study indicated that COVID-19 did not threaten the food security status of rural families in China. On the contrary, rural families, particularly those still engaged in agricultural production, increased the consumption of several foods to strengthen their resistance against the virus.

Changes in consumer dynamics on general e-commerce platforms during the COVID-19 pandemic: An exploratory study of the Japanese market

This study analyzed the changes in consumers' use dynamics of general e-commerce (EC) platforms (e.g., Amazon.com) during the coronavirus disease 2019 (COVID-19) pandemic. We initially supposed that the significance of consumer benefits, including pricing, product variety, and delivery services, on the platforms would decrease and the value of using an EC platform itself would increase due to the pandemic, based on which we conducted a comparative analysis of questionnaire data from 2,119 Japanese consumers who use general EC platforms. The data were obtained in November 2018 and January 2021. Our analysis has two parts, the first designed as a conjoint analysis to statistically analyze the changes in consumers' sense of values for pricing, variety of goods, stability and quality of delivery services, and basic benefits of using EC platforms; and the second part designed to statistically analyze the changes in comprehensive items when using EC platforms. We categorized the dataset into men and women and further clustered them based on the patterns of consumers' sense of factors when using EC platform. The analysis results were inconsistent with our initial supposition, in that a non-negligible proportion of consumer clusters showed an increase in the significance of factors, including pricing, product variety, and delivery service, and a decrease in the basic benefits of using EC platforms. Regarding the results of the analysis of comprehensive items, the only commonly observed change for most clusters of both men and women was an increase in the use of package drop. The results indicate that changes in consumers’ sense of using EC platforms due to the pandemic were not as simple as supposed because the pandemic caused various changes in the need mechanism of consumers of EC platforms.

Digital Innovations in MSMEs during Economic Disruptions: Experiences and Challenges of Young Entrepreneurs

The spike in COVID-19 cases all over the world poses a massive impact on various sectors of society. The global economy is no exception, for it has been severely affected by the unprecedented public health crisis leading businesspeople to shutdown commercial establishments and dramatically shifting businesses into digital platforms. Immense challenges brought by the pandemic have turned into great opportunities among entrepreneurs from different parts of the globe. In pursuit of the recovery path, they considered digital tools to be instrumental to surviving the crisis and even thriving in the long term. This study explores drivers and barriers to digital innovations in micro, small, and medium enterprises (MSMEs) during economic disruptions from the perspective of Filipino young entrepreneurs. Researchers employed a qualitative method for the conduct of in-depth interviews with 46 online entrepreneurs in the Philippines and transcribed them for Inductive Content Analysis to generate themes. Results found the adverse effects of the pandemic, which reinforce entrepreneurial innovations of shifting businesses to digital platforms, categorized into intrinsic (e.g., personal and professional growth) and extrinsic (e.g., mobility restrictions, market conditions, and household economic status) motivations. Participants described the barriers to digital entrepreneurship, including skills needed for doing online business, market-related problems in digital platforms, availability of quality internet infrastructures, and the pandemic restrictions. The findings of this study contribute to the entrepreneurship literature and areas for an empirical investigation to develop programs that support entrepreneurs during economic disruptions. This would serve as a guidepost in the formulation of government policies and strategies for economic recovery through digital entrepreneurship while considering the perspectives of young entrepreneurs. This further recommends future related researches to empower entrepreneurs, particularly those in the developing economies during the pandemic and beyond.

A Cluster Analysis Concerning the Behavior of Enterprises with E-Commerce Activity in the Context of the COVID-19 Pandemic

The planning of activities of e-commerce enterprises and their behavior has been influenced by the emergence of the COVID-19 pandemic. The behavior of e-commerce enterprises has been highlighted at the level of EU countries through an analysis elaborated on four variables: the value of e-commerce sales, cloud computing services, enterprises that have provided training to develop/upgrade the ICT skills of their personnel, e-commerce, customer relationship management (CRM) and secure transactions. Using the hierarchical clustering method, analysis was carried out on these variables to identify certain economic and behavioral patterns of e-commerce activity from 2018 and 2020. The study of the relationships involved in the e-commerce activity of these enterprises is reflected in models of the economic behavior of 31 European states in relation to the targeted variables. The results show that the impacts of the COVID-19 pandemic are strongly manifested in the direction of the evolution of each indicator but differ from one country to another. The trends depend on the level of development and the particularities of each country’s economy in adapting to the repercussions reported in relation to the level of impact of the COVID-19 pandemic. This is highlighted by the significant regrouping of countries in 2020 compared with 2018 in relation to the average values of the indicators. The results show that, in 2020, the most significant percentages of the value of e-commerce sales were recorded in Belgium, Ireland and Czechia, as in 2018. In e-commerce, customer relationship management and secure transactions, Denmark and Sweden were superior in 2020 to the countries mentioned above, which were dominant in 2018. For the other two indicators, Finland and Norway were the top countries included in the analysis in both years. The conclusion supports the continuous model of e-commerce enterprise behavior in order to meet the requirements of online customers.

To Be (Vaccinated) or Not to Be: The Effect of Media Exposure, Institutional Trust, and Incentives on Attitudes toward COVID-19 Vaccination

The COVID-19 vaccine has become a strategic vehicle for reducing the spread of the pandemic. However, the uptake of the vaccine by the public is more complicated than simply making it available. Based on social learning theory, this study examines the role of communication sources and institutional trust as barriers and incentives as motivators of people's attitudes toward vaccination and actual vaccination. Data were collected via an online panel survey among Israelis aged 18-55 and then analyzed using structural equation modeling (SEM). Findings show that social media trust negatively mediates the effect of exposure to information on the vaccine on attitudes toward vaccination. However, mass media trust and institutional trust positively mediate this relationship. Incentives were effective motivators for forming positive attitudes and moderating the effect of institutional trust on attitude toward vaccination. This study facilitates a deeper understanding of health communication theory in pandemics and makes important recommendations for practitioners and policy makers.

Explore the Approaches to Corporate Social Responsibility Implemented by E-Commerce Platforms in China During the Early Stage of COVID-19: A Mixed-Methods Content Analysis

OBJECTIVES

The aim of this study was to explore (a) the approaches to corporate social responsibility (CSR) implemented by e-commerce platforms in China during the early stage of coronavirus disease 2019 (ESCOVID-19) and (b) the factors associated with the platforms' choice of these approaches.

METHODS

We collected the CSR data from the Internet during ESCOVID-19. Conventional content analysis was used to develop the targeted approaches. Finally, based on the frequency analysis of each approach, rank-based nonparametric testing was conducted to answer objective (b).

RESULTS

Three main approaches (ie, donative CSR actions, responsive CSR actions, and strategic CSR actions) and 8 subapproaches were implemented. The strategic approach was the most frequently used approach. The platforms with higher market size implemented more donative and strategic CSR actions than did the platforms with lower market size. Donative CSR actions were significantly implemented in the earlier period, while strategic CSR actions were significantly implemented in the later period.

CONCLUSIONS

Our research highlights the importance of e-commerce platforms to help the public survive and identifies that market size and time were associated with the platforms' CSR choice. The design of prevention and control policies should incorporate and support e-commerce platforms and evaluate the factors when confronting future public health crises.

Exploring Chinese Consumers' Online Purchase Intentions toward Certified Food Products during the COVID-19 Pandemic

The outbreak of COVID-19 has significantly increased consumers' demands for online groceries, as well as healthy, safe, and better-quality food products. In China, certified food products are commonly perceived as safe and good-quality products. Therefore, this study investigated potential factors that influenced Chinese consumers' online shopping intentions toward certified food during the COVID-19 crisis. An integrated model was proposed by combining the technology acceptance model (TAM) and the theory of planned behaviour (TPB) with the impact of COVID-19 (IOC). The empirical results of structural equation modelling analysis with 491 usable responses revealed that the proposed model showed a good model fit and satisfactory explanatory power (R2 = 53%) regarding consumers' certified online food shopping intentions during the pandemic. The path analysis demonstrated that attitude, perceived behavioural control, perceived usefulness (PU), and IOC significantly affected consumers' online purchase intentions of certified food. PU and perceived ease of use (PEOU) were important drivers of attitudes, and PEOU significantly influenced PU. Moreover, the IOC was significantly related to most factors, except subjective norms. These findings can be useful for detecting changes in consumer behaviour, and providing suitable strategic implications for stakeholders in the Chinese certified food sector during the current and post-pandemic eras.

Impact of the COVID-19 Pandemic on Online Consumer Purchasing Behavior

With the spread of the COVID-19 pandemic and the increasing importance of e-commerce, the study of online consumer behavior is of particular relevance. The purpose of this study was to form a methodological approach to assess the relationships and the level of influence of the factors activating the purchasing behavior of online consumers against the background of the COVID-19 pandemic. The research methodology was based on the transformation of Cattell’s questionnaire and the implementation of correlation analysis. To determine the predisposition of online consumer behavior at the time of making a purchase decision, this study used the questionnaire method. The survey was conducted among online shoppers in the top 10 countries in terms of e-commerce market growth. The scientific contribution is the proposed methodological toolkit to assess the purchasing behavior of online consumers, which identifies the most influential factors in their purchasing behavior and provides an opportunity to assess the dynamics of their activity during the study period, to identify key trends and determine changes in their behavior. The research revealed what changes in online consumer buying behavior are typical in the COVID-19 pandemic. The impact of consumer awareness and experience has increased. Online consumers have become more experienced, which has influenced the activity of their buying behavior. This study proved the shifting influence of online consumer purchasing behavior factors during the pandemic. The increasing importance of the speed of decision making by consumers when purchasing goods and services online was determined.

Poland–Turkey Comparison of Mobile Payments Quality in Pandemic Time

The main objective of this article is to identify and analyze the use of mobile payments in two countries, Poland and Turkey. The data for the study were collected with the application of the CAWI method in March 2021. The survey covered nearly 650 respondents in total. The basis for comparisons was populations from two culturally distinct countries, Poland and Turkey, which are at a similar level of development as regards the use of the Internet. The studies were carried out simultaneously in both countries and examined the group of young people aged 18–25. The research surveyed the population, which included the most active Internet users who are taking full advantage of the benefits of globalization, which is facilitated by the development of the Internet worldwide. The survey was translated into the respondents’ native languages, initially validated during the pilot studies and then distributed and circulated among the study participants. The obtained findings were subject to comparison, and the differences between the samples were analyzed and commented on to verify the hypotheses formulated in the study. The main limitation of the conducted study was the selection of a random group—the research sample consisted only of members of the academic community. The study presented in the article fills the research gap regarding international comparisons of the use of m-payments in the period of the COVID-19 pandemic. The obtained results indicate the undoubted fact of increased interest in the use of m-payments in e-commerce and e-banking, and even more importantly, differences concerning 40% of the criteria/attributes applied to assess the use of m-payments in both countries. The findings can be used by business practitioners dealing with the development of m-payments. Another potential application is to attempt to bridge the gaps between countries, which may be supported by globalization processes.

Analyzing the impact of social networks and social behavior on electronic business during COVID-19 pandemic

The Covid-19 pandemic caused substantial changes, particularly concerning marketing, which led to high digital use. Social networking enables people to communicate easily with others and provides marketers with many ways to interact with consumers. As a consequence of the lockdown, economic activity is declining dramatically. The response of policymakers, the government, and industry to resolving the harm caused by economic factors and how the marketer can react to changing consumer behavior. This study analyzes the impact of social networks and social behavior on electronic business or E-Business during the COVID-19 pandemic using deep learning techniques. This paper introduces the Deep Recurrent Neural Network (DRNN) to predict online shopping behavior for improving E-business performance. The article utilizes clickstream information to forecast online purchase behavior in real-time and target marketing measures. Measures of profit impact with production from classifier metrics demonstrate the feasibility and the usage of deep recurrent learners in campaign targeting via RNN-based clickstream modeling. The numerical results show that the suggested model enhances the profitability ratio of 98.5%, the performance ratio of 97.5%, the accuracy ratio of 96.7%, the prediction ratio of 97.9%, and less error rate of 11.3% other existing methods.

Marketing Activities of Local Food Producers in E-Commerce

The food industry is characterized by a constant increase in value. The purpose of this study is to identify the most popular marketing forms used by the analyzed enterprises, which were food producers selling online among the local community and identification of the correlation of the analyzed variables with the age of companies. The survey was carried out with the use of the CATI (Computer Assisted Telephone Interviewing) method, and the research tool was a questionnaire. The Chi-square statistics was used to examine the dependencies of individual variables and V-Cramer coefficient was used to identify the strength of the correlation. The obtained results and their analysis enable to conclude that there is a strong relation between the number of encountered problems in conducting online sales and the period of the company’s existence. The relationship (with a moderate strength) between sources of marketing inspirations used in e-stores and the company’s age was also confirmed. Furthermore, it was noticed that the number of marketing tools increases with the period of the company’s existence. Sales promotion, social media marketing and website positioning were indicated among the most popular tools.

Changes in Consumers’ Purchase Patterns as a Consequence of the COVID-19 Pandemic

The current COVID-19 pandemic has affected every aspect of consumer behavior—their expenses, investments, and financial reserves, as well as their financial and social wellbeing. As a consequence of different restrictions, consumers and their shopping patterns have changed significantly; thus, the factors that influence new purchase patterns need to be identified to help traders, retailers, and marketers develop appropriate strategies to respond to crucial consumer changes in the market. A categorical analysis (Pearson’s chi-square test) and correspondence analysis (simple and multivariate) were applied to a sample of 425 Slovak respondents to reveal the most important factors impacting consumers’ financial situations, as well as the effects on the maintenance of new shopping habits established during the pandemic period. The results revealed that consumers’ income, age, and sector of occupation play important roles in the context of new shopping patterns. These findings are in agreement with other global studies, confirming both the worldwide impact of the pandemic on consumer behavior and the importance of national studies on consumer shopping behavior in order for state authorities, traders, marketers, and entrepreneurs to be able to take necessary measures.

Information overload and fake news sharing: A transactional stress perspective exploring the mitigating role of consumers’ resilience during COVID-19

The spread of fake news in social networks has become a major concern for various sectors of society, including retail and service providers, some of whom have suffered from decreasing sales due to misinformation consumers shared online. The current COVID-19 crisis has added to the surrounding hysteria, as fake news during crises can heighten negative behavioural responses in consumers, such as irrational panic buying or taking false medical precautionary measures. In fact, driven by the ubiquitous social media landscape, the dissemination of misinformation and the overarching overabundance of information have been major challenges of the pandemic. Given that current research offers little insight into the processes behind the sharing of fake news among consumers and that research on consumer-centred mitigating mechanisms is missing, this study explores the relationship between information overload, fake news sharing, and the overlooked concept of consumers' resilience as a potential shield as viewed through the lens of the current crisis. Structural equation modelling is applied to cross-sectional data from 241 social media users. Drawing from theories of transactional stress and psychological resilience, it is demonstrated that information overload leads to an increased likelihood of fake news sharing by increasing consumers' psychological strain. Furthermore, the study shows that consumers' resilience has the power to mitigate the drastic effects of this negative chain of influence by inhibiting each of the processual components. The results have important implications extending beyond crises. Measures should be taken to enhance consumers’ resilience amidst technology-induced stressors while altering the information environment confronting consumers.

Online consumer resilience during a pandemic: An exploratory study of e-commerce behavior before, during and after a COVID-19 lockdown

The COVID-19 pandemic has disrupted retail and accelerated the trend towards electronic commerce. This study explores the reasons for and the implications of this shift. Our study builds on the consumer behavior literature, emerging COVID-19 research, and the environmentally imposed constraints perspective to describe how online purchasing behavior evolved during the COVID-19 crisis. The objective is to better understand how consumers use e-commerce to react to, cope with and adapt to periods of environmentally imposed constraints. Based on multiple sources including transaction and search data from a major French online retailer, we describe how consumer behavior evolves during such stressful life events as COVID-19. Our results support the usefulness of the multi-perspective react-cope-adapt framework of constrained consumer behavior in an online environment.

E-Commerce Calls for Cyber-Security and Sustainability: How European Citizens Look for a Trusted Online Environment

The pandemic has changed the citizens’ behavior, inducing them to avoid any real contact. This has given an incredible impulse to e-commerce; however, the complexity of the topic has not yet been adequately explored in the literature. To fill this gap, this study has a twofold purpose: (1) to investigate how European countries comparatively perform in e-commerce, and (2) to describe what are the most important challenges for the further expansion of e-commerce. To this end, we adopted a hybrid methodology based on multi-criteria decision analysis (MCDA) and a Likert scale survey. The first method allows to us rank the e-commerce performance of different European countries, while the second one looks at the problems and barriers that characterize online shopping. The results of the study show that European countries have different sensitivities to the issue of cyber-security, and among them it is possible to identify three groups with different levels of attention to the critical issues of e-commerce. The Netherlands, Sweden and Denmark belong to the group of countries most responsive to e-commerce. This request is part of a broader framework of transition toward sustainable development, i.e., a reliable digital environment where citizens and businesses can exercise their rights and freedoms in complete security. Finally, from a theoretical perspective, this paper adds a new baseline to the literature on the state of the art of e-commerce in Europe that addresses the effects of the pandemic. From a managerial point of view, decision makers can find in the results of this analysis a support for the setting of business strategies for the expansion of firms in certain markets and guidance for public authorities when defining regulatory policies for e-commerce.

Protective measures against COVID-19 and the business strategies of the retail enterprises: Differences in gender, age, education, and income among shoppers

The present study sought to develop a conceptual framework to explain the influence of protective measures adopted by the retail enterprises against the COVID-19 virus on customers’ attitudes toward these measures, and the safety during the shopping experience, as well as the satisfaction with these types of protective measures and behavioral intentions. A structural equation modeling and metric invariance test were used as the data analysis technique. Our results revealed that the protective measures against the COVID-19 virus significantly and positively influenced customer safety during shopping, the attitudes and satisfaction, which contribute to an increase of their behavioral intentions as a result. The mediating role of attitudes and safety was also uncovered. In addition, our findings from the metric invariance test indicated that gender, age, education, and income significantly moderated the relationships among the studied constructs. Our results can help retail practitioners and researchers develop a strategy to effectively implement protective measures against COVID-19 in the retail enterprises.

The role of social media in internet banking transition during COVID-19 pandemic: Using multiple methods and sources in qualitative research

Social distancing practices and staying at home have increased the time people spend on social media with the purpose of exchanging and consuming information about completing their routine practices safely. The Covid-19 pandemic has disrupted in-person banking operations and increased the physical threat for both retail bankers and customers. Consequently, the world has moved toward internet banking with the purpose to continue routine transactions for paying bills, purchasing groceries, and shopping of brands. The present study aims to explore how the fearful environment of Covid-19 pandemic increased the social practices of internet banking and what challenges are faced by different customers during their use of internet banking. By understanding these experiences, system developers and marketers can improve their internet banking apps to address the needs and expectations of different customers. The study has opted for a relativist ontological position and social constructionist epistemological position to understand different realities in the same context and how customers experience internet banking in a fearful environment. The study used multiple qualitative research methods: Gibbs reflection cycle, semi-structured interviews with internet banking users, and focus group interviews with executives of public and private sector banks. Social actors through social media played a role with respect to understanding the nature of uncertainty during Covid-19 pandemic that changed customers’ behavior from traditional banking to internet banking. Information was shared through social media to avoid ATMs, debit and credit card exchange with cashiers, and cash exchange as these are no longer safe options for both bankers and customers. The major theoretical contribution of this study is to merge social practice theory and affordance of technology theory in the context of internet banking adoption. This study has discussed practical implications for marketers and system developers of retail banks.