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This research examines the impact of the National Rural E-commerce Comprehensive Demonstration Project (NRECDP) on poverty reduction and income growth in rural China.

The study develops a theoretical framework, which considers the role of geographical, technological, institutional and cultural factors for the e-commerce poverty alleviation (e-CPA) model. Empirically, this study applies the difference-in-differences (DID) model and the event study approach to evaluate the effectiveness of NRECDP on the basis of large-scale county-level and household-level panel data spanning 2010 to 2020.

The study found that the NRECDP, as a government-led, information and communication technology (ICT)-enabled, market-based program, has led to a significant increase in per capita output of primary industry employees, as well as in the disposable income of rural residents, especially those in national-level poverty-stricken (NP) counties. The interventions of the NRECDP achieved these positive outcomes through transportation and Internet infrastructure improvement, ICT adoption and human capital accumulation in impoverished towns and villages in remote rural areas. These effects are larger in the eastern region of China, followed by the central region, whereas the weakest effects were found in the western region. However, we found little evidence of the NRECDP increasing household developmental expenditure.

The study findings have important practical and policy implications for rural e-commerce development and self-sustained poverty alleviation solutions. The research revealed the significance of government NRECDP interventions for increasing rural income, reducing living costs, and empowering the rural population in its multiple social roles, namely, as consumers, producers, employees and microentrepreneurs. The local cultural context may also play a role in ICT adoption and entrepreneurship cultivation with a downstream effect on the effectiveness of e-CPA practices. Policymakers would need to ensure a supportive entrepreneur-friendly environment for rural e-commerce development and continue implementing progressive policies for poverty alleviation.

This study explores poverty alleviation issues in China by developing for the first time a multi-faceted framework that is subsequently tested by both county-level and household-level large-scale observations. Also, it is the first study to provide nationwide empirical evidence on the effectiveness of e-CPA in narrowing down the spatial and digital divides in China. In addition to the impact of geography, technology and governmental support, this study also sheds light on the role of culture in the adoption and diffusion of digital technologies and as a source of local entrepreneurial opportunities.

In this study, the effects are investigated of brand and product storytelling on customer assessments of perceived attitude, quality, experience, recommendation and purchase intention based on narrative transportation theory within the domain of winery e-commerce.

In the research, two distinct constructs are introduced for brand and product storytelling, and multivariate analysis of variance is applied to analyze data collected from 391 respondents from the UK.

It is indicated in the study that embedding storytelling into elements, such as age verification screens on e-commerce sites, notably improves evaluations for both brands and products. Product storytelling broadly boosts customer appraisals in every evaluated aspect, while brand storytelling shows effectiveness in more limited cases. This suggests that narratives focused on products may have a wider appeal in enhancing the online customer experience.

This research underscores the strategic significance of balancing the focus between brand and product in crafting storytelling narratives for e-commerce contexts. It offers new insights into tailoring storytelling to meet individual consumer needs online, enriching the existing body of literature on storytelling’s application in digital commerce. Importantly, the study provides actionable guidance for wineries and other businesses aiming to enhance their online customer engagement through targeted narrative strategies.

Live-streaming e-commerce is becoming a new way for many consumers to shop. During the live broadcast process, the interaction between anchors and customers plays a decisive role on consumers' purchasing decisions. This study aims to explore how two types of interaction between the anchor and the customers (i.e. task-oriented interaction and relationship-oriented interaction) affect customers' purchase decisions.

The study establishes a model based on online trust theory and multi-sensor interaction theory. To validate the model, we carried out five simulated live-streaming events and collected data through a scenario-based survey of the viewers participating in the live-streaming (N = 244). Structural equation modeling was employed to test the hypotheses.

Both task-oriented interaction and relationship-oriented interaction have a positive impact on users' purchase decisions through the mediation of virtual touch, emotional trust and cognitive trust. Sense of power has opposite moderating effects on the impacts of relationship-oriented interaction on emotional trust and cognitive trust.

This study enriches the theory of live-streaming e-commerce by demonstrating the decisive roles of two types of anchor–customer interaction, the mediation roles of virtual touch, cognitive trust, and emotional trust in customer purchase decisions, as well as the moderating effect of sense of power on customer decision-making processes. The findings provide practical insights for anchors and live-streaming platforms about how they should arrange live-streaming content to enhance consumer purchasing decisions.

This study aims to contribute to the darker side of consumer–brand interactions by examining the relationship between consumer-related antecedents, particularly consumer personality traits, in triggering brand-hate emotions. Additionally, the link between brand hate and brand forgiveness was also taken into account, as well as the moderating impact of personality attributes. The impact of brand forgiveness on consumer coping behavior was investigated, particularly for brand switching (flight) and negative word-of-mouth (NWOM) (fight) on Indian e-commerce shopping websites/apps.

Using a structured questionnaire survey and a nonprobability purposive sampling approach, data were obtained from 438 online shoppers who had experienced hate directed at a particular shopping website or app. The hypotheses were tested statistically using partial least squares (PLS) structural equation modeling with SmartPLS 4 software.

First, the findings demonstrate that agreeableness, extraversion and neuroticism significantly affected brand hate. Second, the results indicate that personality traits, particularly extraversion and conscientiousness from the Big-Five model, play a substantial role in moderating the relationship between brand hate and brand forgiveness. Third, the study also reveals the significance of brand forgiveness in mitigating the adverse consequences of NWOM and brand switching in the context of e-commerce platforms.

Practical steps such as complaint-management processes and prompt resolutions through an appropriate means of active interaction and understanding the consumer’s personality when their concerns are heard and handled can help brand managers earn customers’ forgiveness and reduce brand hate toward e-commerce websites/apps.

Based on the authors’ understanding, this study is the initial one to incorporate brand hate, brand forgiveness and coping strategies into the model in a service context with the interaction effect of consumer personality traits.

E-commerce companies use dark patterns to manipulate customer decisions to survive in the crowded online market and make profit. Although some online customers are aware of the dark patterns, they cannot overcome such manipulations. Therefore, the purpose of this study is to identify and model the barriers to overcoming dark patterns using total interpretive structural modeling (TISM).

Barriers to overcoming dark patterns were identified from the extant literature and were validated by a panel of 18 domain experts. In the modeling phase, TISM technique was used to identify the relationships between the barriers and assign priority to the barriers. Finally, the barriers were plotted and classified into three categories.

User unawareness, trust in brands and normalization of aggressive marketing were found to be the highest priority barriers. Whereas, designer bias, user fatigue, short-term user benefits and design complexity were identified as the most challenging barriers because they have least dependence over the other barriers.

Because TISM results are based on the opinion of domain experts, other statistical techniques could be applied for validation.

This study would educate online customers, while assisting online user communities and regulatory bodies to devise strategies to overcome dark patterns. Additionally, business managers could use the study’s findings to encourage designers to embrace ethical design methods as a competitive advantage.

This study contributes to the research as it is first of its kind to examine the link between dark pattern barriers.

The objective of this study is to investigate the interaction effect between incentive type (financial and compassionate incentives) and the ethicality of merchant strategy on consumer willingness to post positive reviews, while also examining potential variations in consumer responses based on consumption experience, shopping frequency and social class.

Building upon construal level theory, we hypothesized the moderating influence of the ethicality of merchant strategy and examined the three-way interaction among consumers’ demographic characteristics (i.e. consumption experience, shopping frequency and social class), incentive type and the ethicality of merchant strategy. To empirically test our hypotheses, we conducted four experiments and employed ANOVA for data analysis.

The ethicality of merchant strategies moderates the association between incentive type and consumer willingness to post positive reviews, with compassionate incentives eliciting more pronounced moral judgments toward merchant strategies compared to financial incentives. The moderating effect of the ethicality of merchant strategy on the relationship between incentive type and consumer willingness to post positive reviews is particularly strong among consumers who have favorable consumption experiences, engage in frequent shopping and belong to lower social classes.

This study contributes to the existing literature on online reviews by examining the impact of compassionate incentives on consumer review behaviors, analyzing the ethicality of merchant strategies within the realm of online reviews and investigating variations in consumer responses to merchant strategies regarding consumption experience, shopping frequency and social class.

This research aims to shed light on the linkage between digital platforms and small and medium-sized enterprises (SMEs) performance and consider the moderating effect of intellectual capital and environmental dynamism.

This study applies a quantitative approach using a sample of primary data from 508 managers and directors of Vietnamese SMEs, using structural equation modeling (SEM).

The utilization of digital platforms by managers and directors has a positive impact on enhancing intellectual capital. However, under the influence of external environment changes, this trend may shift towards a negative direction. The ability to utilize digital platforms, whether directly or through information communication, positively affects the performance of businesses. Research has shown that the positive promotion of digital platform capability for intellectual capital factors such as human capital, organizational capital, and relational capital decreases when the external environment changes in the context of uncertain globalization.

This research focuses on SMEs operating in the technology and e-commerce sectors and it evidences that digital platforms are an effective baseline driver for promoting high-performing SMEs. By examining the connection between digital platform’s capability and IC and the significance of intellectual capital for SMEs’ performance, this study adds to the body of literature already available on the destructive regulatory potential of environmental dynamism. This study broadens the dynamic capabilities theory’s outcome audience and adds a new dimension to the impact of the digital platform’s capability (resource utilization) on the performance of SMEs.

This paper aims to investigate the factors that influence millennial purchase behaviour, brand choice and distribution channel selection in an evolving technology-driven environment.

The study was exploratory, using qualitative methods of personal interviews and some ethnographic observations to collect data from 585 millennials from ten cities in nine African countries.

Findings from the study confirm and support the critical role of e-commerce in facilitating millennials engagement with brands, highlighting how brand purchases are integral to their lifestyle choices. There is an overwhelming confirmation of the importance of influencer marketing and social media in shaping purchase decisions, with new insights into the role of local micro-influencers and social networks. The findings from the study highlight the pivotal role of a brand’s country of origin in influencing millennials’ brand preferences. The study supports and advances insights into the importance of online shopping and diverse factors influencing millennials’ selection of distribution channels.

There is an opportunity to leverage the growing mobile telephone penetration and social media usage to develop innovative integrated marketing communications strategies. There are opportunities for co-creating marketing communication campaigns with millennials in different settings. These are outlined in the practical implications section.

The paper is based on original empirical data collected from ten countries and explores the behaviour of a growing but under-researched segment of millennials in Africa.

This research delves into a comprehensive examination of Amazon’s Vendor Flex (VF) model, seeking to illuminate the intricacies of supply chain innovation through alliances between Amazon and its suppliers. Employing a multiple case study methodology, the study investigates the reduction of transaction costs, the establishment of strategic alliances for supply chain innovation and governance issues within these alliances.

A multiple case study methodology, incorporating personal interviews and triangulation with primary sources, was employed to unravel the dynamics of the VF model.

Results indicate that the VF model aligns with the reduction of transaction costs by leveraging Amazon’s specialized knowledge, although not necessarily through direct knowledge sharing. Amazon suppliers highlight competitive advantages gained through VF, showcasing efficient navigation of peak seasons and a focus on core activities with online retailing integration. The VF alliance represents a collaborative model where Amazon’s technological prowess enables a streamlined and innovative supply chain for online retailing, which resembles a vertical integration process.

This research underscores the potential of strategic alliances to drive innovation by incorporating industry-leading practices. The governance issues within the VF alliance reveal power imbalances, emphasizing the need for managers to govern dynamics, disclose information and build trust in large-scale alliances.

The purpose of this study is to investigate the influence of IP (Intellectual Property) on the intention for premium consumption of Generation Z, and to construct a theoretical model of IP on the premium consumption of Generation Z. Based on the results of the study, it provides better marketing suggestions to merchants, and is an expansion of previous research on the consumption behavior of Generation Z.

This paper contains two empirical tests and one experimental analysis. First, this study crawl over 5,000 pieces of Generation Z’s consumption data from Poizon, an e-commerce platform and exclusive trending community for Generation Z. Second, this study designs a two-group online experiment to collect 292 valid data from members of the Generation Z. The authors use Stata software for multiple linear regression, t-tests, and ANOVA to test the hypotheses.

The results of the data analysis show that IP has a significant positive effect on the premium consumption intention of Generation Z, and the limited release strategy positively moderates the effect. Self-image congruence and social identification play mediating role in the influence of IP on Generation Z’s premium consumption.

First, this study finds a link between IP and commodity premiums, which is the first study to explore the effect of IP on commodity price changes. Second, this study is the first to examine the marketing science value of IP using a combination of empirical tests and experimental analysis. These fill research gaps. Finally, the mechanism of IP’s influence on Generation Z’s premium consumption is revealed, enriching the literature on Generation Z’s consumption behavior.