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The purpose of this paper is to explore the impact of product information on impulse purchases in a cross-border electronic commerce (CBEC) setting from the perspective of cue stimulation.

This study proposes a research model of impulse purchases in CBEC based on the cue utilization theory and Stimulus-Organism-Response (S-O-R) model. The research model was tested using covariance-based structural equation modelling. Data were collected from the consumers of a popular CBEC platform in China.

A high-quality product description has a significant positive effect on concentration but not on curiosity and autotelic experience. A high-quality product display has a significant positive effect on concentration, curiosity and autotelic experience. High-quality product content has a significant positive effect on curiosity and autotelic experience but not on concentration. Curiosity and autotelic experience both have a significant positive effect on impulse purchases; however, concentration has no such effect on an impulse purchase. Curiosity and autotelic experience have a full mediation effect between product display and impulse purchases and between product content and impulse purchases, respectively.

This study integrates the S-O-R model and cue utilization theory to construct a theoretical model of product information-flow experience-impulse purchases. According to the model, we can understand how product information influences consumers' impulse purchases in CBEC.

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 reviews scientific publications in the field of logistics underlying cross-border e-commerce (CBEC) to China. A focus on the role played in this complex process by other countries of the Greater China is carried out. The purpose of this paper is to outline directions for future research to encourage CBEC development.

The review is based on 32 papers published from 2002 to 2016 in international peer-reviewed journals or proceedings of international conferences, retrieved from bibliographic databases and science search engines.

CBEC to China is gaining increasing interest, as shown by the rising amount of publications from 2013 onwards. Within these contributions, however, studies specifically investigating the relation between logistics and e-commerce, commonly acknowledged as critical, seem to lack. Many contributions are descriptive and do not provide specific insights on how to manage the complexities of CBEC logistics in this region. Stemming from the review, a set of possible development areas are identified, including distribution network design, i.e. deciding how to shape the CBEC distribution structure, and logistics outsourcing, i.e. determining whether to manage logistics activities in-house or through third parties.

To the extent of the authors’ knowledge, this paper is the first one to classify the existing body of knowledge on logistics supporting CBEC. Its main contribution is the critical identification of current research gaps and the proposal of key themes for future research. From a managerial perspective, it helps export and logistics managers identify the key challenges of managing CBEC logistics to Greater China.

The psychic distance often hinders the interaction between cross-border e-commerce (CBEC) and consumers. This paper aims to discuss the issues of psychic distance of consumers in the CBEC. In addition, it attempts to explain the factors that affect psychic distance from three dimensions of culture, economy and politics and the two different shopping behaviors caused by psychic distance.

This research incorporates both theoretical and empirical studies. In this study, 249 validated questionnaires were selected from 300 Chinese CBEC consumers by snowball sampling, and the relationship between variables was tested using structural equation model (SEM). This was done through online research, and it is ensured that the data obtained are first-hand information.

The paper suggests the theoretical model operationalizing CBEC psychic distance and the empirical analysis results show that all the six influencing factors have a positive impact on the psychic distance of consumers. Logistics infrastructure barriers in the economic dimension are confirmed as the major influencing factor, and the significance of the political dimension is relatively small. Based on consumers' uncertainty of various kinds of information, psychic distance subconsciously causes consumers to deviate in the cross-shopping process.

Currently, research on e-commerce mainly focuses on saving trade costs and improving consumer welfare, while research on the internal impact of CBEC on consumers is insufficient. Psychic distance is a new concept in the field of cultural and social research. The originality of this paper is that the concept of psychic distance has been extended from overseas invested enterprises to research with CBEC consumers as the selected object. The obstacles of CBEC have been widely studied, but few are related to the closeness of consumers, or the inner feelings of consumers are ignored. In the context of CBEC, this paper lists the actual external factors and potential threats that may affect consumers' consumption concerns of CBEC from three dimensions. The real emotions of consumers in the face of these difficulties indirectly affect the purchase satisfaction and reduce the purchase desire. Consumer psychic distance is a real phenomenon in cross-border shopping, and it is almost inevitable for these difficulties. On the premise of inevitability, high psychic distance will slow down cross-border shopping in the eyes of consumers.

This study elicits the critical attributes, consequences and values associated with the purchasing process in the context of cross-border e-commerce (CBEC). The purpose is to provide a better understanding of the fundamental factors that determine consumer values in CBEC.

The study applies the means-end-chain theory and soft-laddering techniques to interview 60 CBEC consumers to construct an implication matrix and a hierarchical value map (HVM) of the consumer purchasing process, consisting of attribute-consequence-value (A-C-V) paths.

By analyzing the significant linkages, elements, ladders and chains in the HVM, four dominant A-C-V paths were identified: economic-driven, efficiency-driven, progress-driven and quality-driven paths.

This study included only Chinese CBEC buyers. This limitation might affect the generalizability of the conclusions as culture, purchase habits and economic development differ between China and other countries.

The results of this study provide CBEC practitioners an understanding of the consumer purchasing process and how consumer values are associated with platform characteristics. Thus, the results aid practitioners in allocating resources and developing CBEC platforms in an appropriate manner and direction.

This study sheds lights on the emerging phenomenon of CBEC. By applying the means-end-chain approach, the study provides a comprehensive HVM for interpreting the consumer online purchasing process in this novel context. By illustrating the dominant paths, this research provides deeper theoretical insights into the specific focuses of CBEC consumer purchasing.

The purpose of this paper is to investigate the impact of product description and involvement on purchase intention in a cross-border e-commerce (CBEC) setting from a psychological perspective.

This study proposes a research model of purchase intention in CBEC based on the involvement theory and commitment-involvement theory. The research model was tested using the covariance-based structural equation modeling technique. Data were collected from consumers on a popular CBEC platform in China.

A high-quality product description has no significant positive effect on purchase intention, but it has significant positive effects on product cognitive involvement, product affective involvement, platform enduring involvement and platform situational involvement. In addition, product affective involvement, platform enduring involvement and platform situational involvement all have significant positive effect on purchase intention, but this effect is not significant in the relationship between product cognitive involvement and purchase intention.

This study calls for sellers to optimize product descriptions on CBEC platforms in order to attract more buyers and generate more profits.

This study integrates two theories of involvement into the research model in the CBEC context. Based on this model, the authors analyzed how product description affects purchase intention under the joint influence of two involvement factors.

The purpose of this paper is to support companies’ risk-informed selection of a logistics solution to operate in China via cross-border e-commerce (CBEC).

Decision theory is applied to the recent field of CBEC. This theoretic setup involves a decision maker who must choose among a set of alternatives, whose consequences depend on uncertain factors (Savage, 1954). The study develops an activity-based model to calculate logistics costs in a deterministic setting. Simulations and probabilistic sensitivity analyses are later performed to evaluate the impact of uncertainty.

There are four main solutions to enter China, determined by the adopted international transport mean and the presence of a local warehouse. The most important risk factors affecting the choice of the logistics solution are change of CBEC regulation, product value, expected service level and demand level.

From a theoretical perspective, this study improves CBEC literature, so far characterised by descriptive papers, often lacking industry focus or empirical exploration. It also provides new application opportunities for decision theory, whereas previous contributions have proposed different theoretical approaches, such as transaction cost or institutional theory. From a practical viewpoint, the paper is the first to compare the costs of the main logistics solutions to sell online to China, by taking uncertainty into account. The results can be used to better understand the differences among solutions and identify the most critical parameters. Finally, this research provides some observations for policy implementation.

This paper aims to propose the mechanism of cross-network effect embedded, which can help cross-border e-commerce (CBEC) platforms strengthen cooperative relationships with sellers more equitably and effectively by using the network structural characteristics of the platforms themselves.

A two-stage evolutionary game model has been used to confirm the influence factors. The mathematical derivation of evolutionary game analysis is combined with the simulation method to examine the role of cross-network effect in cooperation. The evolutionary game model based on the cross-network effect is proposed to achieve better adaptability to the study of cooperation strategy from the two-sided market perspective.

The evolutionary game model captures the interactions of cross-network effect and the influence factors from a dynamic perspective. The cross-network effect has a certain substitution on the revenue-sharing rate of SMEs. CBEC platforms can enhance the connection between consumers and the website by improving the level of construction, which is a good way to attract sellers more cost-effectively and efficiently.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specificCBEC platforms.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specific CBEC platforms.

Investigations that study cooperation strategy from the cross-network effect perspective in CBEC are limited. The research figured out which influence factors are affected by the cross-network effect in cooperation. A two-stage evolutionary game model was proposed to explain the interaction of the factors. The evolutionary game analysis with a simulation method was combined to highlight the role of cross-network effect on cooperation strategy to give a deeper investigation into the sustainable cooperation ofCBEC.

The purpose of this paper is to explore the determinants of consumer purchase intention (CPI) of cross-border e-commerce (CBEC) in the countries of the Belt and Road Initiative (BRI).

This study proposes a research model of the antecedents of CPI on CBEC in BRI countries. Study participants were consumers with CBEC shopping experience in BRI-associated countries (n = 278). Structural equation modeling was used to test the research model.

Trust has the greatest effect on CPI, while perceived security has the least effect. In addition, in BRI-associated countries, in contrast to the previous study, product presentation was found to have a significant positive influence on CPI in CBEC. Platform simplicity and logistic service have a significant positive influence on CPI.

These findings offer important implications for CBEC. Consumers' trust in product providers has the greatest impact on CPI. Simplicity, timely shipment tracking and the fast delivery speed of the platform will increase CPI. The results suggest a highly successful tactic for enhancing consumers' perceptions of product authenticity and interest. Finally, this study provides insights into BRI.

This study contributes to the literature on CBEC. It explores the multilevel (i.e. product presentation, platform simplicity, logistic service, perceived security, and trust) determinants of CPI on CBEC. The study provides insights into the determinants of CPI in BRI countries.

Due to its fast growth, cross-border e-commerce (CBEC) is becoming a popular internationalization model, especially in those destination markets with impressive e-commerce development like China. However, CBEC also brings new logistics challenges and uncertainty. This paper aims to understand how companies cope with logistics uncertainty in this field and whether the different types of uncertainty influence the risk management strategies adopted to face them.

A survey targeting online exporters to China and third-party forwarding logistics service providers (3PFLs) is conducted. A structural equation model (SEM) analysis is performed to test the possible relationship between the adopted risk management strategies and the types of uncertainty. The type, industry and size of the company, as well as the distance between the company's home country and China, are used as control variables in the study. Survey results are enriched via interviews with some of the respondents.

The risk management strategies adopted are dependent on the type of logistics uncertainty that the companies face and, to a minor extent, on the industry the company operates in. Conversely, no significant influence is exerted by other types of control factors, i.e. home country, company size or company type.

The paper investigates logistics uncertainty and risk management approaches in the novel context of CBEC. A systematic review of relevant sources of uncertainty is offered to help both scholars and practitioners understand the current complexities of CBEC. From a theoretical perspective, the paper models the investigated concepts in light of the contingency approach. From a practical perspective, results can be of interest since the list of proposed items can support risk identification and evaluation while the interviews with managers can provide insights on risk management practices.