With the rapid technological developments, cross-border e-commerce (CBEC) as a sector is also expanding rapidly. In the past couple of decades, China has become a major force in promoting and developing CBEC and, therefore, it was needed to explore the various antecedents and outcomes of Chinese CBEC to expand the understanding and existing CBEC scholarship. Ample studies have been conducted to understand the antecedents and outcomes of CBEC. However, limited studies have explored such variables which can mitigate the adoption of CBEC. With this background, this empirical study was focused on addressing this gap by studying the moderating role of environmental context between organizational context and the four levels of CBEC adoption with the help of a technology-organization-environment framework. SMEs operating in China were targeted for data collection, where data were collected through an online survey. A final sample size of 208 was recorded. It was found that the organizational context has a direct and positive impact on all four levels of CBEC adoption. Furthermore, the moderating role of environmental context on Level 1 and 2 was not supported. Finally, the moderating role of environmental context on Level 3 and 4 was supported by the data. It was concluded that the organizational context plays a significant role in shaping CBEC at all four levels, whereas the environmental context has the potential to mitigate the relationships between organizational context and CBEC Level 3 and 4.
With multi‐channel retail competition, some offline retailers implement price matching services to combat consumers’ showrooming behavior. With this service, offline retailers cut their prices to match the online price if it is lower. In this paper, we establish a game model that involves an offline and online retailer in the presence of showrooming to analyze the impact of price matching. Specifically, we capture consumers’ uncertainty of product value and heterogeneous awareness of price matching and assume that the online retailer provides a free return policy. The results indicate that price matching alleviates showrooming and relaxes competition. Moreover, we find that the online retailer adopts a randomized pricing strategy if the offline visiting cost is moderate. We further show that the price matching strategy does not necessarily benefit offline retailers and hurt online retailers. Subsequently, we identify the offline retailers’ optimal conditions for implementing price matching.
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