Perspectives on Fashion Technology during the Pandemic Era : A Mixed Methods Approach Using Text Mining and Content Analysis

Author:

Kim MikyungORCID,Yim EunhyukORCID

Publisher

The Korean Society for Clothing Industry

Subject

Literature and Literary Theory,History,Cultural Studies

Reference51 articles.

1. Ahn, S., & Im, S. (2020, September 7). AI·· … MZ [A fashion company armed with AI, big data, and digital… Sniping the taste of the MZ generation with a strong personality that has emerged as a mainstream of consumption]. Economy Chosun. Retrieved November 15, 2021, from http://economychosun.com/client/news/view.php?boardName=C00&t_num=13609475

2. Amed, I., Balchandani, A., Berg, A., Hedrich, S., Jensen, J. E., Merle, L. L., & Rölkens, F. (2021, December 1). State of fashion 2022 - An uneven recovery and new frontiers. McKinsey & Company. April 15, 2022, from https://www.mckinsey.com/industries/retail/our-insights/state-of-fashion

3. Amed, I., & Berg, A. (2020, April 8). The state of fashion 2020: Coronavirus update — It’s time to rewire the fashion industry. Business of Fashion. Retrieved May 9, 2021, from https://www.businessoffashion.com/reports/global-markets/the-state-of-fashion-2020-coronavirus-update-bof-mckinsey-report-release-download/

4. Bostrom, N. (2017). Superintelligence - Paths, dangers, strategies (S. J. Cho, Trans.). Seoul: Kachibooks. (Original work published 2014)

5. Chace, C. (2017). The economic singularity - Artificial intelligence and the death of capitalism (D. S. Shin, Trans.). Seoul: Bizpaper. (Original work published 2016)

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