MLA 8
Xia, Rui. "Digital Transformation of a Family-Owned Clothing Store: Designing and Developing a Digital Wardrobe Solution." Int. j. of Social Science and Economic Research, vol. 11, no. 9, Sept. 2026, pp. 5310-5324, doi.org/10.46609/IJSSER.2026.v11i09.052. Accessed Sept. 2026.
APA 6
Xia, R. (2026, September). Digital Transformation of a Family-Owned Clothing Store: Designing and Developing a Digital Wardrobe Solution. Int. j. of Social Science and Economic Research, 11(9), 5310-5324. Retrieved from https://doi.org/10.46609/IJSSER.2026.v11i09.052
Chicago
Xia, Rui. "Digital Transformation of a Family-Owned Clothing Store: Designing and Developing a Digital Wardrobe Solution." Int. j. of Social Science and Economic Research 11, no. 9 (September 2026), 5310-5324. Accessed September, 2026. https://doi.org/10.46609/IJSSER.2026.v11i09.052.
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References
[1] . Hong, Yili , and Paul A. Pavlou. 2014. “Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents.” Information Systems Research 25 (2): 328–44. https://doi.org/10.1287/isre.2014.0520.
[2] . Zheng, Min, Jessecae K. Marsh, Jeffrey V. Nickerson, and Samantha Kleinberg. 2020. “How Causal Information Affects Decisions.” Cognitive Research: Principles and Implications 5 (1). https://doi.org/10.1186/s41235-020-0206-z.
[3] . CNNIC. 2025. “The 55Th Statistical Report on China’S Internet Development.” https://www.cnnic.com.cn/IDR/ReportDownloads/202505/P020250514564119130448.pdf.
[4] . Xinhua. 2025. “China’S Internet Users Surpass 1.1 Billion, Powering Digital Economy and Innovation.” Www.Gov.Cn. https://english.www.gov.cn/archive/statistics/202501/18/content_WS678ae7f6c6d0868f4e8eef08.html.
[5] . National Bureau of Statistics of China. 2024. “Total Retail Sales of Consumer Goods in December 2024.” Stats.Gov.Cn. https://www.stats.gov.cn/english/PressRelease/202501/t20250124_1958445.html.
[6] . TWIGG, JULIA. 2007. “Clothing, Age and the Body: A Critical Review.” Ageing and Society 27 (2): 285–305. https://doi.org/10.1017/s0144686x06005794.
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ABSTRACT:
After the epidemic, the global economy suffered significantly, leading to recession and reduced
consumer demand. Moreover, because of the strict regulations on offline activities during the
pandemic, online shopping platforms have advanced tremendously, which creates unparalleled
competitive pressure for the real economy on aspects such as pricing, operational costs, and
demand distribution. Using a family-owned clothing store in Beijing as a case study, this
research combines interviews with store owners and a questionnaire survey of 153 consumers to
examine current industry challenges, consumers’ demands, and the pros and cons of both online
and offline shopping modes. The results show that although e-commerce platforms provide
greater convenience and product variety, consumers continue to experience significant product
fit uncertainty. Meanwhile, physical stores can provide opportunities for consumers to try on
clothes, to determine whether they are suitable for specific occasions, and to directly feel the
fabric.
Based on these findings, the store can build on its existing advantages through digital channels,
instead of replacing them. This report therefore proposes a low-cost digital wardrobe that
digitalizes store owners' tacit knowledge into standardized customer profiles, including their
sizes, style preferences, and purchase history, and uses this information for personalized
recommendations. From the data collected from the survey, many consumers were interested in
having their preferences and past purchases remembered, while privacy was the main concern.
The proposed system is intended to bring some of the store’s personalized service to digital
channels and encourage customers to return, while keeping the system practical and protecting
customer data. The next stage of the project will use AI and programming to develop the digital
wardrobe, followed by a pilot test to evaluate customer responses and changes in store
operations.
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International Journal of Social Science & Economic Research
