Determinanten des Online-Einkaufs – eine empirische Studie in sechs nordrhein-westfälischen Stadtregionen

Wiegandt, Claus-C.; Baumgart, Sabine; Hangebruch, Nina; Holtermann, Linus; Krajewski, Christian; Mensing, Matthias; Neiberger, Cordula; Osterhage, Frank; Texier-Ast, Verena; Zehner, Klaus; Zucknik, Björn

doi:10.1007/s13147-018-0532-5

Cited by 13 publications

(2 citation statements)

References 18 publications

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“…One obvious tendency emerging from the literature is that consumers of a younger age tend to buy more online than elder consumers, which may be attributed to their experience with information and communication technology. Furthermore, the likelihood of e‐shopping is higher for consumers with higher education and/or income, male consumers, and consumers in employment (Farag et al 2006; Burkolter and Kluge 2011; Clarke, Thompson, and Birkin 2015; Beckers, Cárdenas, and Verhetsel 2018; Wiegandt et al 2018).…”

Section: Spatial Shopping Behavior and Multi‐channel Shoppingmentioning

confidence: 99%

A Micro‐Econometric Store Choice Model Incorporating Multi‐ and Omni‐Channel Shopping: The Case of Furniture Retailing in Germany

Wieland

2021

Geographical Analysis

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Online retailing and multi-/omni-channel shopping are gaining in importance. However, there is a significant lack of research focused on incorporating online shopping into models of spatial shopping behavior. The present study aims (1) to construct a store choice model which includes both physical and online stores as well as the opportunity for omnichannel shopping, and ( 2) to identify the main drivers of spatial shopping behavior given the availability of both channels. Based on a representative survey, this study employs a revealed-preference approach toward store choice and expenditures in furniture retailing. The statistical analysis is performed using a hurdle model approach, with the expenditures of individual consumers at (online or physical) furniture stores serving as the dependent variable. Results show that channel choice (online vs. offline) is mainly influenced by psychographic characteristics, place of residence, and age of the consumers. Store choice and expenditures are primarily explained by store features such as assortment size, omni-channel integration, and accessibility. This study demonstrates that e-shopping can be integrated into a store choice model and that both the modeling approach and the subsequent findings are of significance for retail companies and spatial planning.

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Section: Spatial Shopping Behavior and Multi‐channel Shoppingmentioning

confidence: 99%

A Micro‐Econometric Store Choice Model Incorporating Multi‐ and Omni‐Channel Shopping: The Case of Furniture Retailing in Germany

Wieland

2021

Geographical Analysis

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“…Together, these two dimensions offer a parsimonious description of the main lifestyles in the general population. Empirical studies have applied this typology successfully to a broad range of explananda, such as air travel [51], online shopping [52], wine consumption [53], or political preferences [24], among others. Their connection to fair trade is, of course, an open empirical question.…”

Section: How Are Broader Dimensions Of Lifestyles Related To Fair Trade Consumption?mentioning

confidence: 99%

It’s All about Distinction: The Lifestyle Embeddedness of Fair Trade Consumption

2021

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Social scientists have argued that ethical consumption is embedded into broader lifestyles running across various domains of social life. For instance, fair trade consumption might be part of a distinctive lifestyle, including behaviors such as going to fancy restaurants or the opera. We, therefore, investigate the relationships of the main dimensions of broader lifestyles to various aspects of fair trade consumption—from purchase frequency, to visiting specialized stores, to the identification with fair trade. The analysis relies on data collected in the Summer of 2011 in Zurich, Switzerland. Since per capita consumption of fair trade products in this country was on a comparatively high level, the results are also important for other societies experiencing only currently the mainstreaming of fair trade. The first dimension, distinctiveness of lifestyles, denoting orientations and behaviors with high social prestige in society, emerges as a substantial and important determinant of all included aspects of fair trade consumption. The second dimension, modernity, is only correlated with a subset of these aspects. These effects are robust, even when taking ethical and political orientations and resource endowment into account. Hence, differences between lifestyle groups do not simply reflect the social position of high-status consumers or their ethical and political views. They reflect orientations, mental representations and routines specific to these social groups. Broader lifestyles are, therefore, a relevant addition to explanations of fair trade consumption.

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Digitalisierung des Einzelhandels in Deutschland

Buthe

Jonas

2020

Jahrbuch StadtRegion 2019/2020

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Determinanten des Online-Einkaufs – eine empirische Studie in sechs nordrhein-westfälischen Stadtregionen

Cited by 13 publications

References 18 publications

A Micro‐Econometric Store Choice Model Incorporating Multi‐ and Omni‐Channel Shopping: The Case of Furniture Retailing in Germany

A Micro‐Econometric Store Choice Model Incorporating Multi‐ and Omni‐Channel Shopping: The Case of Furniture Retailing in Germany

It’s All about Distinction: The Lifestyle Embeddedness of Fair Trade Consumption

Digitalisierung des Einzelhandels in Deutschland

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