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Chinese Preference for Online Grocery Shopping: Shopping for Convenience, Quality or Price?

About: The article was published on 2017-06-15 and is currently open access. It has received 3 citations till now. The article focuses on the topics: Preference.
Citations
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Journal ArticleDOI
TL;DR: In this article, the authors conduct an empirical study on Chinese urban consumer shopping behavior from online and offline channels, using yogurt as an example, and confirm the advantages of e-commerce relative to traditional offline retail channel in terms of keeping consumers loyal.
Abstract: Using home‐scan data set from Kantar Worldpanel, we conduct an empirical study on Chinese urban consumer shopping behavior from online and offline channels, using yogurt as an example. Results confirm the advantages of E‐commerce relative to traditional offline retail channel in terms of keeping consumers loyal. Results also indicate the online and offline markets are of different business models, in that the online market is a separate market from offline even for the same brand. There exists evidence of brand loyalty for online shoppers but not offline. However, it is more challenging for online late entrants to build brand loyalty because consumers are price sensitive online. Firms are recommended to think of new and differentiated products online, which focus more on quality instead of price to catch the young generation with increasing income.

26 citations

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper investigated whether online fresh food shopping behaviors change during public health emergency periods and found that purchase frequency grew 71.2% during the COVID-19 crisis.
Abstract: Purpose: Online fresh food shopping has become increasingly popular in recent years, especially during the COVID-19 crisis. Online fresh food shopping provides consumers with an alternative to shopping in a traditional market, while also enabling procurement of such goods at a reduced risk of infection. The purpose of this study is to investigate whether online fresh food shopping behaviors change during public health emergency periods. Design/methodology/approach: The data were collected through a web-based survey (508 respondents in China). Descriptive analysis, ordinal logistic regression analysis, and the Apriori algorithm were employed to explore what characteristics influence purchase frequency as well as food and delivery time preferences among different customer groups. Findings: Based on the survey data, this study found that purchase frequency grew 71.2% during the COVID-19 crisis. City type and online shopping frequency of respondents are positively correlated with purchase frequency in normal and COVID-19 crisis periods. Number of daily hours worked by respondents only showed a significant impact for the normal period. People perceiving the risk of infection from going out are more willing to purchase fresh food online. Originality/value: This is the first study to explore and compare online fresh food shopping behaviors during normal and COVID-19 crisis periods with a sample from China. The findings indicate a key role that online fresh food shopping can perform during a crisis and contribute to our understanding of fresh food online shopping behaviors during other possible public health emergency scenarios. © 2021, Emerald Publishing Limited.

17 citations

References
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Journal ArticleDOI
TL;DR: In this paper, the authors identify factors that may influence Chinese customers' online shopping satisfaction, including those which are ignored by prior studies, from the perspective of total online shopping experience, and develop hypotheses about which dimensions of online retailer constructs are significant predictors of online shopper satisfaction.
Abstract: Purpose – The purpose of this study is to identify factors that may influence Chinese customers' online shopping satisfaction, including those which are ignored by prior studies, from the perspective of total online shopping experience.Design/methodology/approach – In this paper, the authors propose a model of the satisfaction process in the e‐commerce environment, identifying key constructs proposed by prior studies and developing hypotheses about which dimensions of online retailer constructs are significant predictors of online shopper satisfaction. The authors test the hypotheses through multiple regression analysis based on a survey of 1,001 online customers.Findings – The analysis suggests that eight constructs – information quality, web site design, merchandise attributes, transaction capability, security/privacy, payment, delivery, and customer service – are strongly predictive of online shopping customer satisfaction, while the effect of response time is not significant.Research limitations/impli...

292 citations

Journal ArticleDOI
TL;DR: An unexpected result of the explorative study was that the seven groups consisting of more or less experienced internet shoppers differed only little in their pool of beliefs (outcome and control beliefs).
Abstract: Purpose – To use the theory of planned behavior (TPB) as a theoretical framework to explore in depth the range of beliefs held by consumers about internet shopping in general and internet grocery shopping in particular.Design/methodology/approach – Seven focus group interviews, four in the United Kingdom and three in Denmark, were conducted among consumers with different degrees of experience with internet grocery shopping. This diversification of respondents was chosen to capture a broad range of the consumer beliefs that predict intentions to buy groceries online or not. The TPB framework was used to construct the interview guide that was followed in all focus groups.Findings – An unexpected result of the explorative study was that the seven groups consisting of more or less experienced internet shoppers differed only little in their pool of beliefs (outcome and control beliefs). Beliefs about internet grocery shopping, positive as well as negative, were remarkably congruent across groups. In the minds ...

228 citations

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper developed a theoretical research model as a framework to identify the key decision factors influencing Chinese consumers to shop, or not to shop online, and ranked seven important decision factors: perceived risk, consumer resources, service quality, subjective norms, product variety, convenience, and website factors.

211 citations

Journal ArticleDOI
TL;DR: In this article, the authors study the moderating effects of household (e.g., shopping frequency) and product characteristics on household brand loyalty, size loyalty and price sensitivity across online and offline channels for grocery products and find that households are more brand loyal, more size loyal but less price sensitive in the online channel than in the offline channel.

189 citations