Objectives This study examined the determinants of consumers’ continuance intention (CI) toward online grocery shopping (OGS) across different country markets. Drawing on technology continuance theory (TCT), this study compared key drivers of CI in a different countries market.
Methods Data were collected via online surveys from 638 OGS users in China (n = 338) and South Korea (n = 300) between November and December 2023. A TCT-based model incorporating satisfaction, attitude, perceived usefulness (PU), perceived ease of use, confirmation, and CI was tested using partial least squares structural equation modeling. Partial measurement invariance testing was conducted to ensure valid cross-national comparison.
Results In South Korea, both satisfaction and attitude significantly predicted CI, with satisfaction exerting a particularly strong effect. In China, attitude was the primary determinant of CI, whereas satisfaction had minimal impact. Across both countries, PU consistently and positively influenced satisfaction and attitude, thereby indirectly enhancing CI. Partial measurement invariance was confirmed, validating comparisons of the model across contexts.
Conclusion The findings suggest that the drivers of online grocery continuance differ by cross-national market. In Korean markets, strategies must enhance customer satisfaction (and its influence on attitude) to sustain OGS usage. In Chinese markets, fostering favorable consumer attitudes toward OGS is essential for promoting continued use. This cross-national analysis advances the theoretical understanding of continuance behavior while providing practical guidance for designing market-specific strategies to sustain online grocery engagement.
Objectives Despite the growing market share of online grocery shopping, there is a need to understand customer perceived value due to the ongoing advancements in information technology. This study explores the connections between attributes, consequences, and values. Additionally, it conducts a cross-country comparison of consumers’ online grocery shopping behaviors to gain a deeper understanding of consumer market segments and any potential variations among them.
Methods Data was collected through an online questionnaire survey conducted from May 1 to 15, 2024, targeting 400 consumers in Seoul, Korea, and Shanghai, China, who have experience with online grocery shopping. The survey utilized the Means-End Chain theory and association pattern technique hard laddering. Data collation and analysis were conducted using the IBM SPSS Statistics 28.0 program. The LadderUX software was employed to analyze the links between attributes, consequences, and values and create the consumer purchasing process’s implication matrix and hierarchical value map (HVM).
Results The study identified key attributes that influence online grocery shopping decisions, including delivery service, price, freshness, and quality. Korean consumers demonstrated a higher sensitivity to price (19.0%) and delivery service (17.0%). In contrast, Chinese consumers prioritized delivery service (15.0%) and after-sales service (14.8%). Commonly cited consequences included time saving (12.6% for Koreans, 11.3% for Chinese), whereas prevalent values encompassed convenience (36.8% for Koreans, 19.6% for Chinese) and economic value (26.6% for Koreans, 14.7% for Chinese). The HVM underscored these insights, highlighting diverse consumer preferences and country-specific nuances.
Conclusions The findings highlight the current state of online food consumption and consumers’ value systems, revealing variations among countries. These findings offer empirical insights that can be used to create customized global marketing strategies that resonate with various consumer preferences and market dynamics.
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