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Identifying the geography of online shopping adoption in Belgium

机译:确定比利时在线购物采用的地理位置

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The widespread adoption of the internet as retail channel is impacting a range of stakeholders. Retailers are expected to sell online, logistics operators are required to reconfigure their supply chain and public authorities try to keep local retail competitive while simultaneously attempt to manage the increase in freight transport. Within this context, a growing body of research is studying the socio-economic profile of the online shopper and the spatial variation in the demand for B2C goods. Yet, as can be expected for a relatively new evolution, little consensus exist. Therefore, in this paper, with data from the national retail federation on online shopping behaviour, we add to this growing field by first analysing the relation between socio-economic characteristics and the willingness to shop online. By mapping these characteristics, we then construct the geography of online shopping adoption in Belgium. Finally, we assess the impacts of this specific geography for the stakeholders that are adapting to this new reality. We conclude firstly that the well-educated man in his thirties with a well-paid job has the highest probability to shop online, independent of the level of urbanisation of the area he resides. Secondly, we predict over-and underestimations of the potential online buyers of up to 50% when assuming a homogeneous e-commerce penetration, especially in poorer urban areas. This implies a serious negligence for e-commerce practitioners and academics when ignoring the specific geography of the online shopping adoption.
机译:互联网作为零售渠道的广泛采用正在影响一系列利益相关者。预计零售商将在网上销售商品,要求物流运营商重新配置他们的供应链,而公共机构则试图保持本地零售业的竞争力,同时尝试管理货运量的增长。在这种情况下,越来越多的研究正在研究在线购物者的社会经济特征以及B2C产品需求的空间变化。然而,正如相对较新的发展所期望的,几乎没有共识。因此,在本文中,我们使用来自全国零售联合会的有关在线购物行为的数据,通过首先分析社会经济特征与在线购物意愿之间的关系,来增加这一增长领域。通过映射这些特征,我们然后构建了比利时在线购物采用的地理区域。最后,我们评估特定地理位置对适应新现实的利益相关者的影响。我们首先得出结论,受过良好教育的30岁,薪水高的人在网上购物的可能性最高,而与他所居住地区的城市化程度无关。其次,当我们假设电子商务的渗透率很均匀时,尤其是在较贫困的城市地区,我们预测潜在的在线买家高估或低估多达50%。这意味着在忽略在线购物采用的特定地理位置时,对于电子商务从业人员和学者来说是严重的过失。

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