中文摘要
快时尚公司凭借敏捷的供应链,一直被视为各行业的最佳实践范例。既有研究聚焦于敏捷性如何赋予此类公司强大的"感知—响应"能力,以识别并满足不可预测的客户需求。敏捷性还有另一个强大的维度——频繁创造新产品的能力——正是它促成了 Shein 和 Temu 等公司近来的市场成功,一些行业媒体将这些公司称为"超快时尚"(ultra-fast fashion)。这些公司依托端到端数字技术,将这一敏捷性维度推向了前所未有的高度,以极高的频率和丰富多样的品类推出新产品。频繁的新品发布创造了新鲜感,激发了消费者的潜在需求,并使这些公司成为"超新鲜"(ultra-fresh)时尚——本文即采用这一术语。我们试图将这一敏捷性维度建模为一种用于创造需求的运营策略。通过该模型,我们可以从企业利润、消费者剩余和环境影响的视角考察其效应。我们的分析表明,频繁的新品发布、高多样性和低价格——超新鲜时尚的三大显著特征——既受产品设计敏捷性驱动,也受顾客对产品新鲜度的兴趣驱动。超新鲜策略能使企业利润稳步增长,并使消费者整体获益,但若不加约束,可能造成负面的环境影响。本文由 Jay Swaminathan(运营管理)接收。补充材料:在线附录与数据文件可在 https://doi.org/10.1287/mnsc.2024.06249 获取。
Abstract
Using agile supply chains, fast fashion companies have been viewed as best practice examples in industries. Prior research focuses on how agility can equip such companies with strong sense-and-respond capabilities to identify and fulfill unpredictable customer demands. There is another powerful dimension of agility—the ability to create new products frequently—that has enabled recent market success of companies such as Shein and Temu, labeled by some industry press as ultra-fast fashion. These companies, relying on end-to-end digital technologies, have pushed this dimension of agility to unprecedentedly high levels, launching new products with great frequency and variety. The frequent product launches create freshness, stimulating latent demands of consumers and making these companies “ultra-fresh” fashion, a term we adopt in this paper. We seek to model this dimension of agility as an operational strategy for demand creation. Our model enables us to explore the effects through the lens of profit to the firm, consumer surplus, and environmental impact. Our analysis reveals that frequent product launches, high variety, and low prices—the three salient features of ultra-fresh fashion—are driven by both the product design agility and the customers’ interest for product freshness. The ultra-fresh strategy allows steady profit increase for the firm and benefits consumers in aggregate but may cause negative environmental impact if left unchecked. This paper was accepted by Jay Swaminathan, operations management. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2024.06249 .