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Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping

机译:在线购物和/或店内购物?电子购物与店内购物之间关系的结构方程模型

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摘要

Searching product information or buying goods online is becoming increasingly popular and could affect shopping trips. However, the relationship between e-shopping and in-store shopping is currently unclear. The aim of this study is to investigate empirically how the frequencies of online searching, online buying, and non-daily shopping trips relate to each other, after controlling for sociodemographic, land use, behavioral, and attitudinal characteristics. Data were collected from 826 respondents residing in four municipalities (one urban, three suburban) in the center of the Netherlands, using a shopping survey. Structural Equation Modeling was used to give insight in the mutual dependencies of the endogenous variables, and in direct and indirect effects between variables. The findings suggest that complementarity or generation between e-shopping and in-store shopping seems to be more likely to occur than substitution. The more often people search online, the more shopping trips they tend to make. Frequent in-store shoppers also buy frequently online. Shop accessibility has a negative effect on the frequency of online searching; the more shops are nearby, the less often persons search online. However, shop accessibility influences the frequency of online buying positively; the more shops are nearby, the more often persons buy online. Urbanisation level affects e-shopping indirectly via Internet use: urban residents shop online more often than suburban residents do, because urban residents use the Internet more often.
机译:在线搜索产品信息或购买商品正变得越来越流行,并且可能会影响购物旅行。但是,目前尚不清楚电子购物与店内购物之间的关系。这项研究的目的是在控制了社会人口统计学,土地使用,行为和态度特征之后,以实证方法研究在线搜索,在线购买和非日常购物旅行的频率如何相互关联。通过购物调查,从居住在荷兰中部四个城市(一个城市,三个郊区)的826位受访者收集了数据。使用结构方程建模可以深入了解内生变量的相互依存关系,以及变量之间的直接和间接影响。研究结果表明,电子购物和店内购物之间的互补性或产生似乎比替代性更有可能发生。人们在网上搜索的次数越多,他们倾向于进行的购物旅行就越多。频繁的店内购物者也经常在网上购物。商店可访问性会对在线搜索的频率产生负面影响;附近的商店越多,人们在线搜索的频率就越低。但是,商店的可达性会对在线购物的频率产生积极影响;附近的商店越多,人们在网上购物的频率就越高。城市化水平通过互联网使用间接影响电子购物:城市居民比郊区居民更常在网上购物,因为城市居民更常使用互联网。

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