From Crisis Adoption to Behavioral Continuity: Online Shopping Behavior of Indonesian Silver Consumers
Keywords:
Silver Consumers, Online Shopping Persistence, Digital Trust, Post-Pandemic Behavior, Pre-Purchase JourneyAbstract
The COVID-19 pandemic accelerated the global transition from conventional retail to digital commerce due to lockdowns and health concerns. This shift was particularly significant among silver consumers aged 55 years and above, many of whom adopted online shopping for the first time to access essential goods and services. Despite increasing digital adoption among older adults, existing studies mainly focus on younger generations and rarely examine the complete pre-purchase process, including product search and evaluation. This study aims to analyze the persistence of online shopping behavior among elderly consumers in the post-pandemic period and identify the psychological and technological factors influencing long-term digital adoption. A longitudinal prospective cohort approach is proposed by tracking silver consumers over 12–24 months using digital diaries, browser tracking, and periodic surveys. The findings indicate a substantial increase in online shopping frequency, digital payment adoption, and consumer intention to continue using e-commerce platforms after the pandemic. More than 75% of new online shoppers reported continued interest in digital purchasing behavior. The study concludes that digital trust, perceived security, and ease of platform use are critical factors sustaining online shopping continuity among elderly consumers, contributing to the emergence of a hybrid “new normal” consumption pattern.
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References
Achsan, B. M., & Hidayanto, A. (2023). Implementation of clustering technique for analyzing consumer buying behavior during the COVID-19 pandemic: A case in the beauty industry. Eastern European Journal of Enterprise Technologies. https://doi.org/10.15587/1729-4061.2023.274299
Agus, A., Yudoko, G., Mulyono, N., & Imaniya, T. (2021). E-commerce performance, digital marketing capability, and supply chain capability within the e-commerce platform: Longitudinal study before and after COVID-19. International Journal of Technology. https://doi.org/10.14716/IJTECH.V12I2.4122
Çakır, B., & Tolon, M. (2025). Covid-19’un çevrimiçi alışveriş davranışlarına etkisi: Tüketici eğilimleri üzerine bir analiz. Journal of Tourism and Gastronomy Studies. https://doi.org/10.21325/jotags.2025.1656
Dabija, D.-C., Câmpian, V., Philipp, B., & Grant, D. B. (2024). How did consumers’ retail purchasing expectations and behaviour switch due to the COVID-19 pandemic? Journal of Marketing Analytics. https://doi.org/10.1057/s41270-024-00344-9
Devi, G. D. (2025). A study on major factors influencing online shopping behaviour in Madurai City before and after COVID-19. ComFin Research. https://doi.org/10.34293/commerce.v13i3.9255
Diaz-Gutierrez, J., Mohammadi-Mavi, H., & Ranjbari, A. (2023). COVID-19 impacts on online and in-store shopping behaviors: Why they happened and whether they will last post pandemic. Transportation Research Record. https://doi.org/10.1177/03611981231155169
Greene, C., Merry, E. A., & Stavins, J. (2021). Has COVID changed consumer payment behavior? Federal Reserve Bank of Boston Research Department Working Papers. https://doi.org/10.29412/res.wp.2021.12
Hamidi, H., & Madani, S. S. (2024). Analysis of a framework for e-commerce consumer behavior before and during COVID-19. International Journal of Engineering. https://doi.org/10.5829/ije.2024.37.10a.09
Lin, J., Holland, C., Argyris, N., & Hornbake, L. (2023). Key event analysis of customer behaviour using clickstream data in the airline market. International Conference on Tourism Research. https://doi.org/10.34190/ictr.6.1.1185
Pollák, F., Markovič, P., Vavrek, R., & Konečný, M. (2021a). Return to the new normal: Empirical analysis of changes in e-consumer behavior during the COVID-19 pandemic. Behavioral Sciences, 12(3), 85. https://doi.org/10.3390/bs12030085
Pollák, F., Konečný, M., & Ščeulovs, D. (2021b). Innovations in the management of e-commerce: Analysis of customer interactions during the COVID-19 pandemic. Sustainability, 13(14), 7986. https://doi.org/10.3390/su13147986
Popescu, C., Gabor, M., & Stancu, A. (2025). E-commerce revolution: How the pandemic reshaped the US consumer shopping habits: A PACF and ARIMA approach. Systems. https://doi.org/10.3390/systems13090802
Quizhpe-Bustos, C. G., Bustamante-Chiriboga, K. M., & Pacheco-Molina, A. (2023). Comportamiento del consumidor antes y durante la pandemia del COVID-19 en la provincia de El Oro. Economía y Negocios. https://doi.org/10.29019/eyn.v14i1.1089
Singh, B. K., & Pant, A. (2026). From crisis adoption to behavioral continuity: Post-COVID online shopping patterns in an emerging market. International Journal of Scientific Research in Engineering and Management. https://doi.org/10.55041/ijsrem55805
Song, J., Jung, K., & Kam, J. (2023). Evidence of the time-varying impacts of the COVID-19 pandemic on online search activities relating to shopping products in South Korea. Humanities and Social Sciences Communications. https://doi.org/10.1057/s41599-023-02183-y
Yılmazel, B., Kürkçüoğlu, M. A. Ş., Küçükpehlivan, T., et al. (2025). Uncovering shifts in online market shopping behavior during the COVID-19 pandemic. Gazi University Journal of Science. https://doi.org/10.35378/gujs.1555966




