Elderly Consumers' Online Grocery Shopping Continuance After COVID-19: A Combined Importance-Performance Map Analysis (cIPMA) Method.
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| Title: | Elderly Consumers' Online Grocery Shopping Continuance After COVID-19: A Combined Importance-Performance Map Analysis (cIPMA) Method. |
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| Authors: | Mohd-Any, Amrul Asraf (AUTHOR), Sarker, Moniruzzaman (AUTHOR), Bu, Zhenni (AUTHOR), Mahdzan, Nurul Shahnaz (AUTHOR) |
| Source: | International Journal of Human-Computer Interaction. Dec2025, Vol. 41 Issue 23, p15245-15261. 17p. |
| Subjects: | Older consumers, Online shopping, COVID-19, Expectancy-value theory, Customer loyalty, Consumer protection, Social network theory, Consumer behavior |
| Geographic Terms: | China |
| Abstract: | As the global population ages, China—home to the world's largest ageing population—experienced a notable surge in online grocery shopping (OGS) among the elderly during the COVID-19 pandemic. However, concerns remain about whether this trend will persist post-pandemic and what strategies could sustain this market. Based on 284 responses analysed using PLS-SEM, our findings reveal that consumer trust, return policy leniency, performance expectancy, imitating others, and effort expectancy positively influence the intention to continue purchasing groceries online. In contrast, facilitating conditions do not significantly impact continuance intention, while social influence is marginally insignificant. Fear of COVID-19 negatively affects the intention to continue. We propose that signalling theory offers stronger explanatory power than UTAUT and herding behaviour in predicting elderly consumers' OGS continuance intention. Building trust through user-friendly, straightforward platforms and flexible return policies may be an effective strategy to motivate and sustain elderly consumers' long-term engagement with OGS platforms. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | As the global population ages, China—home to the world's largest ageing population—experienced a notable surge in online grocery shopping (OGS) among the elderly during the COVID-19 pandemic. However, concerns remain about whether this trend will persist post-pandemic and what strategies could sustain this market. Based on 284 responses analysed using PLS-SEM, our findings reveal that consumer trust, return policy leniency, performance expectancy, imitating others, and effort expectancy positively influence the intention to continue purchasing groceries online. In contrast, facilitating conditions do not significantly impact continuance intention, while social influence is marginally insignificant. Fear of COVID-19 negatively affects the intention to continue. We propose that signalling theory offers stronger explanatory power than UTAUT and herding behaviour in predicting elderly consumers' OGS continuance intention. Building trust through user-friendly, straightforward platforms and flexible return policies may be an effective strategy to motivate and sustain elderly consumers' long-term engagement with OGS platforms. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 10447318 |
| DOI: | 10.1080/10447318.2025.2495835 |
