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As technology has increasingly disrupted traditional commerce, there is a need for inclusive growth to ensure that no group – particularly the underprivileged – is left behind. Against this backdrop, this paper aims to shed light on mobile commerce (m-commerce) adoption among street vendors. This study conducts an experiment to investigate the contribution of online reviews and relevant factors in enhancing the perceived usefulness and adoption of m-commerce.

This study used a 2 (perceived ease of use: high vs low) × 2 (trust in service provider: high vs low) × 2 (online review: positive vs negative) between-subjects design, resulting in eight experimental groups. The level of the online review was manipulated, and the degrees of perceived ease of use and trust were measured.

Perceived usefulness depends on online reviews when users perceive incongruent information (e.g. high ease of use but low trust); that is, users who saw positive reviews more strongly perceived the usefulness of m-commerce. On the contrary, perceived usefulness does not vary based on online reviews if users perceive congruent information (e.g. high ease of use and high trust).

This research advances the knowledge of m-commerce adoption by exploring the interaction of perceived ease of use, trust and online reviews, a combination that has not been addressed in previous empirical studies.

The purpose of this paper is to investigate the various factors that influence consumer trust and privacy on e-commerce system and identify different ethical factors that affect consumer perceptions toward e-commerce adoption.

The theoretical background used in this study was critical theory on trust in e-commerce. Online survey from Second Life users was conducted to study ethical issues in e-commerce and their influencing factors.

The results were focussed on significance of e-commerce ethics on consumer purchase and its influence on online marketing. The ethical performance of the e-commerce web site will facilitate an increase in trust, which in turn enhances customer commitment and loyalty.

The survey data in this study has some common method bias. The possibility of the existence of the common method bias cannot be completely eliminated. Security and privacy are the two major aspects that drive online businesses which lead online consumers to develop trust on the digital environment.

The findings on e-commerce ethical research will be useful for current management practice such as making business policies and strategies and sharing information to managers and organization leaders.

With the introduction of internet and e-commerce a large of companies has been performing their business transactions through electronic network. Increasing communication technologies has bought speedy changes in online business transactions. E-commerce networks are playing a pivotal role in online business and consumers are more concerned on ethical issues of e-commerce including security, privacy and trust.

The spread of coronavirus disease (COVID-19) has drastically changed the entire market structure and shopping behaviors across the world. While shoppers rushed toward e-commerce platforms during the pandemic, the key debate that rose was on how this behavior will evolve post COVID-19. The purpose of this study was to explore the different categories of e-commerce platforms’ users and propose a distinctive customer typology in the era of the COVID-19 pandemic.

An exploratory qualitative research design was adopted because of the novelty of the subject. In total, 43 participants were interviewed, including 27 consumers and 16 experts in the field of e-commerce.

Based on the findings, this study distinguishes between two stages of e-commerce usage during the pandemic. Furthermore, this study identifies four key typologies of e-commerce shoppers that are expected to form at the end of the coronavirus: duty-bound, e-watcher, makeshift and onli-vorous shoppers. The characteristics and businesses strategies pertaining to each of the identified groups are discussed.

To the best of the authors’ knowledge, this research is among the first to identify the different stages, while proposing an innovative typology of e-commerce platform post COVID-19. This study also offers useful recommendations to deal with similar future crises.

New developments in e-commerce and m-commerce technologies along with the wide adoption of mobile devices and social media have enabled companies to enhance customers’ shopping experiences and their interaction with brands anytime, anywhere. The purpose of this paper is to develop a theoretical model for a unified online customer experience by drawing from related literature on consumer behavior in the online contexts.

By synthesizing extant consumer behavior and e-commerce literature, this paper seeks further understanding of online customer experience and offers strategies for e-commerce marketers and Web site designers.

The findings of this paper indicate that easiness to locate the Web site/app, ease of use, perceived usefulness, hedonic and utilitarian features, perceived enjoyment, personalization, social interactions and multi-device compatibility are the antecedents of the unified online customer experience. Brand engagement, positive word of mouth (WOM) and repeat purchase are the outcomes of compelling online customer experience.

A significant amount of potential revenue is lost globally due to poor online customer experiences, resulting in e-commerce not reach its potential. E-commerce companies should “hook” customers by providing compelling online experiences.

Given that customer’s experience has become one of the most important and competitive outcome variable for contemporary companies, the results will benefit e-commerce marketers and Web site designers.

E-commerce poverty alleviation (EPA) is an innovative poverty alleviation model in China. The institutional mechanisms of the e-commerce platform improve the effect of EPA and exert online shopping purchase power in rural China. From a socio-technical perspective, this paper used adoption readiness of farmers and perceived risk to construct an integrated model to discern the effect of enhanced e-commerce institutional mechanisms on farmers' online shopping intention in the context of EPA.

The survey included 832 valid samples from rural farmers in Shanxi province. This study analyses using structural equation modelling (SEM) and bootstrap methods used to empirically test the model.

Findings suggest that enhanced e-commerce institutional mechanisms have significant direct and indirect positive impacts on farmers' online shopping intention; adoption readiness and perceived risk play partial mediation roles in determining the relationship between farmers' online shopping intention and enhanced e-commerce institutional mechanisms; and the indirect mediation effect of adoption readiness is greater than that of perceived risk.

Although the proposed model was supported in the questionnaire survey, the investigation method was not completely excluded. Future research can combine the method of panel data and apply the framework to other e-commerce platforms, as well as to other cultural settings.

The study suggests that enhanced e-commerce institutional mechanisms that are based on the needs of farmers from poverty-stricken areas change the shopping habits of farmers. Moreover, enhanced e-commerce institutional mechanisms should allow farmers' perceived adoption readiness to play its promoting role and reduce the impeding role of perceived risk. The results of this study are conducive to the intensive implementation of the ‘Three Rural Issues’ strategy in China.

A new model to generate a two-factor mediation effect model by integrating the perceived effectiveness of enhanced e-commerce institutional mechanisms with farmers, farmers' adoption readiness, perceived risk and online shopping intention. The study explored the relationship between enhanced e-commerce institutional mechanisms and farmers' online shopping intention, bridging the gap in related empirical studies. Besides, this study first proposed farmers' adoption readiness and clarifies the mediating role of farmers' adoption readiness and perceived risk, which highlights the previously unnoticed role of farmers' adoption readiness.

The purpose of this paper is to develop and test a model of the uncertainties and benefits influencing the repurchase intentions of buyers in cross-border e-commerce (CBEC).

The authors draw on the valence framework to hypothesize effects of positive valences (utilitarian benefits) along with negative valences (pre- and post-contractual uncertainties) on buyers’ repeat purchase intentions. Data were collected using an online survey from 378 international B2C buyers on a CBEC platform in China.

Results explain 51.4 percent of the variance and reveal that overall value, as determined by monetary saving, convenience and product offerings as positive valences, exerts the strongest effect on repeat purchase intention. However, negative valences remain significant, and are particularly salient for female shoppers.

The authors extend the valence theory into the study of repeat purchase behavior and contribute to much needed literature on why consumers return to repurchase from a CBEC platform.

Repeat purchase and loyalty of online consumers is essential for success of e-commerce providers. The results help online providers competing in international markets understand how buyers form repurchase intentions based on their evaluations of both value and uncertainty.

Buyer behavior in CBEC has received relatively less attention than domestic e-commerce. This paper is among the first to examine how both positive and negative valences combine to effect repurchase intention of international buyers in CBEC.

This paper aims to explain how Web 2.0, social connectedness online, has created incredible new business options. This research’s primary goal is to help businesses use these resources more effectively and perform better.

Variance-based structural equation modeling with the ADANCO program was used to examine the data. ADANCO software is used explicitly for variance-based structural equation modeling. To evaluate research models and test hypotheses, partial least square path modeling is used.

Theories encompassing social support and related approaches to “word of mouth” online, electronic purchasing and virtual communities mediated by technological platforms are the foundational frameworks for this research piece. It then produces a statistical model that enables users to predict how social commerce (s-commerce) building blocks, including forums, communities, ratings and reviews and recommendations, assist businesses in introducing innovative strategies to win in the digital markets. The results necessarily focus on trust, an essential component of e-commerce. Reciprocally, the study reverses engineer’s trust through the constructs of this moment mentioned.

The present study describes the scope of empirical testing and validation of this framework and assists practitioners in further strengthening s-commerce strategy, an emerging and essential platform in the e-commerce industry.

Research highlights the dearth of current analysis in such conceptual domains while generating novel research insights aimed at e-commerce and digital business. From the viewpoint of potential and recurring customers who interact with online communities and product offerings, the study captures the essence of human interactions, often known as trade relationships, online.

E‐services are important in B2C e‐commerce for managing customer relations and enhancing sales. In the electronic world the customer and the merchant do not meet face‐to‐face, and the clients are more discerning with increased options and solutions available to them online. With the click of a mouse a customer can find another provider. As customers embrace e‐commerce their expectations about service, support, and how they make purchases are changing. Services to customers offered electronically to enhance their online shopping experience include search support, e‐response to customer queries, orders and transactions, e‐payment, e‐transaction record management, e‐assurance and trust, e‐help and other online support in the B2C e‐space. This paper discusses the role of e‐services in B2C e‐commerce and how they can be applied to enhance the online customer shopping experience. Findings of two research projects that shed some light on both business and customer perspectives of the role of e‐services in the B2C e‐commerce are launched in this paper.

The purpose of this study is to explore the antecedents of consumers’ online review intention in e-commerce platforms from a unique perspective of consumer commitment and platform design. Meanwhile, for the dual-platform strategy, i.e. providing both the web and mobile platforms simultaneously, which is widely adopted in the industry but lacks theoretical concerns, this study aims to examine the differences that platform design influences consumer commitment, consequently contributing to online review intention, between the web and mobile contexts.

A cross-sectional online survey is employed, and a structural equation model-based approach is utilized to analyze the data collected from both the website-preferred consumers (N = 167) and the mobile app-preferred consumers (N = 247).

The results indicate that instrumental support design factors and socio-emotional support factors positively influence consumer commitment, which further affect online review intention positively. Furthermore, design factors in different use contexts generate different impacts, and consumer commitment generates a greater effect on online review intention in the mobile than in the web context. Empathy is found to be an important motivator of consumer commitment in both contexts.

To the best of the authors’ knowledge, as one of the first attempts to capture the differences in the relationship between platform design on consumer commitment and online review intention in different use contexts within the dual-platform e-commerce, this study provides insights for e-commerce platform managers and designers to promote consumer commitment and online review engagement by prioritizing the platform design.

This research is to examine the impact of online channels on food stockpile behavior.

In this study, we use bivariate probit models to empirically investigate the impact of online purchasing channels on Chinese urban consumer food hoarding behaviors with random survey samples.

Results show that fresh food e-commerce channels are more likely to be associated with panic stockpile behaviors due to higher likelihood of supply shortages than offline channels with government assistance in logistic management. In contrast, community group buy, another format of e-commerce, appears superior in satisfying the consumer needs and easing the panic buying perception.

It suggests that online channels may have diverse impacts on consumers' panic stockpiling behaviors during the extreme situations. Online channels need to develop efficient supply chains to be more resilient to extreme situations and the government shall recognize the increasing share of the online channels together with traditional offline channels when implementing supporting policies.

With ever increasing share of online channels, it is imperative in terms of policy implications to understand how would online channels affect hoarding behavior.

We are the first study in online shopping's impact on food stockpile during pandemics using a random sample. Although food stockpile behavior at times of emergency have been investigated in many literature, there are no empirical studies on the impact of online channels on stockpile behaviors under extreme situations. Unlike disasters that immediately impact every entity in supply chains covering producers, vendors, distribution centers and retailers, pandemics did not render supply chains affected immediately, but rather increase consumers' willingness to shop online to avoid virus. Thus, Covid-19 provides a natural experiment to investigate the online channels' impact on stockpile behavior.