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As Chinese imported cross-border e-commerce has entered a stage of rapid development, the problem of consumer shopping risk is increasingly prominent and the crisis of consumer trust is intensified. The theory of establishing consumer trust in traditional online shopping can no longer meet the need of cross-border context.

The researchers used the methods of network logs and grounded theory. The data collection and analysis are conducted on consumer comments from Tmall Global, NetEase Koala and JD Worldwide in the product comment area. This article explored and extracted the moderating variables of consumer perceived risk and cross-border characteristics in cross-border e-commerce. Based on the theory of “perceived risk – consumer trust – consumer purchase decision – making,” this article deduced mechanism of consumer dynamic trust based on the whole process of cross-border e-commerce transaction.

In the prepurchase, purchase and postpurchase stages of cross-border e-commerce transactions, consumers' perceived cognitive risk, transaction risk and utility risk are moderated by the cultural distance, geographical distance and institutional distance caused by the cross-border transaction subjects. On this basis, the preinfluence factors of trust in each transaction stage are synthesized to respectively influence the establishment of cognitive trust, emotional trust and behavioral trust, so as to affect consumers to make the order payment, confirm receipt and praise repurchase decisions. At the same time, with the advance of prepurchase, purchase and postpurchase transactions in cross-border online shopping, consumer trust presents a dynamic evolutionary path of “cognitive trust – emotional trust – behavioral trust.”

This article expands the application context of the theory of consumer rational behavior from traditional online shopping to the context of cross-border online shopping and expands the scope of interpretation of the theory of consumer rational behavior. This article also supplements the theoretical gaps in the dynamic evolution of consumer trust in cross-border online shopping, enriches the decision-making process model of consumers in the context of cross-border online shopping and provides new ideas for follow-up research.

Coronavirus disease 2019 (COVID-19) has disrupted global supply chains, revealing dreadful gaps and exposing vulnerabilities. Retailers are challenged to tackle risks and organise themselves to fit into the “new normal” scenario. This global outbreak has established a volatile environment for supply chains; it has raised the question of survival in the market, forcing companies to rethink resilient strategies to be adopted for the post-pandemic situation to mitigate the long-term effects of this virus. This study explores the priorities for retail supply chains (RSCs) to align their business operations and strategies for the post-pandemic world.

This study has utilised integrated full consistency model (FUCOM) – best–worst method (BWM) for assessment of RSCs to enhance their business performance irrespective of pandemic disruptions. The FUCOM has been employed to identify the priorities of determinants enhancing business performance, whereas RSC strategies are evaluated using the BWM method.

The current study identifies “Collaboration Efficiency” as the main criterion for accelerating the performance of RSCs in a dynamic social environment. Also, the study concludes that “Order Fulfilment” and “Digital RSCs” are the most appropriate resilient business strategies to mitigate the long-term effects.

Supply-demand balancing is a challenging task at the moment, but highly significant for the future. The pandemic disruptions have placed intense pressure on retailers to deliver products as per consumers' changing behaviours towards the purchase of essentials and other products. Hence, “Order Fulfilment” and “Digital RSCs” should be adopted for meeting customer requirements and to ensure sustainability in the post-pandemic business world.

This work sets out a comprehensive framework which will be helpful for accelerating RSCs performance against pandemic disruption by adopting resilient strategies to mitigate the long-term effects.

The enabling technologies that emerged from information technology (IT) have had a considerable influence upon the development of marketing tools, and marketing has become digitalized by adopting these technologies over time. The purpose of this paper is to demonstrate the impacts of these enabling technologies on marketing tools in the past and present and to demonstrate their potential future. Furthermore, it provides guidance about the digital transformation occurring in marketing and the need to align of marketing and IT.

This study demonstrates the impact of enabling technologies on the subsequent marketing tools developed through a content analysis of information systems and marketing conference proceedings. It offers a fresh look at marketing's digital transformation over the last 40 years. Moreover, it initially applies the findings to a general digital transformation model from another field to verify its presence in marketing.

This paper identifies four eras within the digital marketing evolution and reveals insights into a potential fifth era. This chronological structure verifies the impact of IT on marketing tools and accordingly the digital transformation within marketing. IT has made digital marketing tools possible in all four digital transformation levers: automation, customer interaction, connectivity and data.

The sequencing of enabling technologies and subsequent marketing tools demonstrates the need to align marketing and IT to design new marketing tools that can be applied to customer interactions and be used to foster marketing control.

This study is the first to apply the digital transformation levers, namely, automation, customer interaction, connectivity and data, to the marketing discipline and contribute new insights by demonstrating the chronological development of digital transformation in marketing.

The purpose of this paper is to examine the interaction effects of spokes-character dynamism (high vs low) and brand personality (sincere vs competent) on consumers’ evaluation and the mediating role of processing fluency.

Two experiments were conducted to test the hypotheses. Study 1 establishes the interaction effect between evoked spokes-character dynamism and brand personality on brand trust and examines the mediating role of processing fluency. By introducing a control group and using purchase intention as the dependent variable, Study 2 further extends the results of Study 1.

The results of Studies 1 and 2 show that for sincere brands, spokes-characters with high dynamic imagery contribute to significantly higher consumer evaluation than the control group and the group of spokes-characters with low dynamic imagery. However, for competent brands, spokes-characters with low dynamic imagery contribute to significantly higher consumer evaluation than the control group and the group of spokes-characters with high dynamic imagery. In addition, processing fluency mediates the interaction effect between evoked spokes-character dynamism and brand personality on consumers’ evaluation.

The studies considered only one method, “frozen motion,” to evoke perceived movement. Further studies using other methods are needed to allow for generalization.

The discerning use of dynamic imagery in spokes-character design involving advertisements may aid marketers in maximizing spokes-characters’ effect on consumers’ evaluation.

The perceived movement of spokes-characters is integrated into the cognition of brand personality. Marketers should take into account how the match between spokes-character dynamism and brand personality may influence consumers’ evaluation of the brand.

Although humanoid robots are increasingly adopted in many business settings, the dynamic effects of anthropomorphism and the functional perceptions of service robots on consumers’ responses remain unclear. This paper aims to examine the impacts of robot anthropomorphism on consumers’ trust, receptivity and the downstream effect on satisfaction. Furthermore, it examines the mediating effects of perceived ease of use (PEOU) and perceived usefulness (PU) in the relationship between anthropomorphism and consumer responses.

After conducting two separate pilot studies to help design the research materials, this research involves three sequential studies. In studies 1A and 1B, the authors used two distinct humanoid robots (i.e. Connie and Pepper) to test the direct effects of anthropomorphism on trust and receptivity and the mediated effects via PEOU and PU. Study 2 conducted a 2 (robot appearance: machine-like vs. human-like) × 2 (task complexity: low vs. high) between-subjects experimental design to further explore the boundary effects of task complexity on trust and customer satisfaction.

This research theorizes and empirically examines the mediating effects of PEOU and PU in the relationship between anthropomorphism and consumers’ responses (i.e. trust and receptivity) to service robots. Results also demonstrate a moderating role of task complexity, whereby only when the task was complex did anthropomorphism affect consumer responses and customer satisfaction. The parallel mediations of PEOU and PU were also confirmed. However, when task complexity was low, the authors observed no differences between human- and machine-like robots.

First, this research used a scenario-based method by exposing participants to different pictures or videos of service robots and measuring individuals’ responses. Consumers may respond differently upon interacting with robots in actual service contexts. Second, future research could investigate the effects of other aspects of anthropomorphism, such as robots’ voice characteristics (gender, high/low pitch), verbal communication styles and emotional expression. Finally, future research could explore other service contexts to test the generalizability of the findings.

Findings of this study also provide useful insight for companies interested in adopting service robots. First, the authors unearthed several positive outcomes of using human-like versus machine-like robots in service settings. Despite concerns about the perceived creepiness and discomfort associated with human-like robots, managers should not worry about these service agents’ potential negative effects. Second, it shows that human-like robots’ competitive advantage over machine-like robots stands out when task complexity is high. Managers should therefore carefully consider relevant service characteristics and task requirements when deciding whether to adopt robots.

This study provides original and valuable contributions to the growing literature on service robots by addressing scholarly incongruencies regarding the impact of anthropomorphism and disentangling its positive influence on consumers’ perceptions and acceptance of service robots. This study also contributes to research on technology acceptance and service robot receptivity by empirically demonstrating the mediating role of PEOU and PU. Furthermore, this research enriches the body of knowledge on task-technology fit by providing evidence that task complexity is a crucial factor to consider in service robot design.

The purpose of this paper is to develop and test a dynamic model of security-based consumer purchasing intentions and empirically addresses gaps in online purchasing theory by examining how loyalty intention may become stronger or weaker over time as a result of prior relationship evaluations.

Using a longitudinal study (three-time waves) of commercial website consumers, the authors investigate the proposed model by depicting the relationships among perceived security, perceived risk, website trust and loyalty intentions.

The results show that two relationships, namely the perceived security-perceived risk link and the perceived risk-website trust link, which have been little investigated on a longitudinal basis in previous studies, change over time. Interestingly, while social network service (SNS) information perceptions do not have direct effects on perceived risk or loyalty intention, the relationships in which either perceived security and website trust are involved are more important for positively improving perceived security and building website trust.

The authors suggest that managers may actually benefit from handling SNS information or social communities by delivering well-designed information at strategic stages, targeting key constructs.

The research contributes to the establishment and testing of temporal carryover effects of various online purchasing-related constructs: perceived security, perceived risk, trust and loyalty intention. More specifically, the longitudinal approach provides new insights regarding the role, potential impact and limitations of two types of perception. It thus highlights how understanding loyalty intention requires reevaluating consumer perceptions as consumers’ judgments evolve.

This study investigates the credit supervision issue in rural e-commerce. By studying the trading strategies of buyers and sellers under different credit supervision measures and the impact of different pricing strategies on the trading strategies of both parties, this paper proposes regulatory suggestions for the increasingly severe credit problems in rural e-commerce.

In the online agricultural product transaction between farmers and consumers, both parties' decision-making is a dynamic process. Using the copying dynamic model of the evolutionary game, this study establishes two evolutionary game models to explore the factors affecting credit supervision in the rural e-commerce transaction process. Then, the study provides corresponding countermeasures and suggestions.

First, credit supervision measures implemented by rural e-commerce platforms and the Government's legal system construction and infrastructure construction guarantees influence both parties' trust choices in rural e-commerce transactions. Second, price is a key factor affecting both parties' trading strategies. In the case of relatively fair prices, the higher the proportion of farmers who choose “low price” and “honest transaction” strategies, the easier that is for consumers to choose to trust farmers. In contrast, the higher the price, the higher the proportion of consumers who choose the “trust farmers” strategy, and the more willing farmers are to choose honest transactions.

This work develops a new approach for analyzing rural e-commerce credit supervision. Moreover, this study helps establish and improve the credit supervision mechanism of rural e-commerce and further realize the long-term sustainable development of the rural economy.

Consumer satisfaction towards a brand is one of a firm’s important performance outcomes. However, building a strong green brand to foster consumers’ satisfaction is often challenging for firms. Drawing on the dynamic capability and mechanism-enabling perspectives of ambidexterity. The purpose of this research is to explore mechanisms of perceived brand performance and green trust through which green brand ambidexterity acts as a facilitator of consumer satisfaction.

The hypothesized relationships were tested by both partial least squares structural equation modelling (PLS-SEM; symmetric approach) and fuzzy set qualitative comparative analysis (fsQCA; asymmetric approach) with data collected from a green consumer questionnaire survey in Hong Kong.

The results from PLS-SEM indicate that green brand ambidexterity affects consumer satisfaction through multiple mediating paths of perceived brand performance, green trust-consumer and the sequential integration of perceived brand performance and green trust. Results from fsQCA further reinforced these findings.

The present research provides a nuanced understanding of how ambidexterity enhances consumer satisfaction in the context of a green brand by identifying multiple mechanisms.

There is a lack of research on how green brand ambidexterity affects green brand outcomes from the perspective of value creation for consumers. The present research fills this gap by providing more comprehensive explanations of mechanisms for green brand ambidexterity to facilitate consumer satisfaction. It also offers a better understanding of how the effects of green brand ambidexterity are viewed on a path-dependency that is aligned with the dynamic capability perspective of ambidexterity and how green trust forms a critical path to enable green brand ambidexterity and perceived brand performance to enhance consumer satisfaction.

The purpose of this paper is to explore the dynamic nature in building and losing trust in business to consumer (B2C) eBusiness in an effort to better understand the casual nature of trust.

The paper uses system dynamics as a lens to interpret and understand the dynamic nature of building and losing trust in B2C eBusiness and reflect the structure of the trust building systems.

This paper provides a four element model and then suggests the cycle of management actions the company must consider if potential customers progressing to purchases is unsatisfactory.

This paper provides a new insight into the dynamic nature trust in a B2C eBusiness. However, the intention of this paper is not to present yet another model, but to suggest how to move from the information and knowledge those models provide into a better understanding of the problem of trust in B2C. Future work will involve the validating of this model in practical situations, the main validation metric being the extent to which managers believe that working with it improves their understanding of the dynamics of building and maintaining trust.

This paper will provide a new insight into the development of B2C eBusiness for practitioners when considering possible strategy formulations for developing and understanding consumer trust in B2C eBusiness.