Fashion Within the Big Data Society: How can data enable fashion transition towards a more meaningful and sustainable paradigm?

P. Bertola
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引用次数: 3

Abstract

The availability of big data is creating a paradigm shift in understanding and driving public opinions, informing individual behaviors and expectations. Therefore, future decision-making processes within companies and institutions will be driven by envisioning capacities based on data analytics that can provide meaningful representations of social behaviors. The paper addresses the current and potential impacts that digital transformation and data analytics are producing in the fashion industry. In particular, it shows two dynamics. On the one hand, the advent of the Internet, particularly social media, has transformed the interaction between brands and their customers’ communities, pushing the fashion industry to embrace more sustainable models better reflecting their contemporary values, expectations, and behaviors. On the other hand, it explores how a new systemic approach to data analytics can empower the design process within the fashion industry to promote a radical sustainable transformation.
大数据社会中的时尚:数据如何使时尚向更有意义和可持续的范式转变?
大数据的可用性在理解和推动公众舆论、告知个人行为和期望方面正在创造一种范式转变。因此,未来公司和机构内部的决策过程将由基于数据分析的设想能力驱动,这些能力可以提供有意义的社会行为表示。本文阐述了数字化转型和数据分析对时尚行业产生的当前和潜在影响。特别是,它显示了两种动态。一方面,互联网的出现,特别是社交媒体的出现,改变了品牌与客户群体之间的互动,推动时尚产业采用更可持续的模式,更好地反映他们的当代价值观、期望和行为。另一方面,它探讨了一种新的系统的数据分析方法如何赋予时尚行业的设计过程权力,以促进彻底的可持续转型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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