JOURNAL ARTICLE
MUSTARD SNEAKERS: FINDING A MARKET.
Published In: Asian Case Research Journal, 2023, v. 27, n. 3. P. 231 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Amornsirikul, Wattanai; Racela, Olimpia C. 3 of 3
Abstract
This case focuses on Mustard Sneakers, a design and boutique founded and co-owned by Nida Karnkorkul who has a background in design and a passion for simple, comfortable streetwear. The case describes Nida's journey from conceiving the Mustard Sneakers brand, acquiring resources and strategic partnerships for the sneakers to be produced, distributed, and marketed mainly within Thailand; up to its established product offerings that had (1) expanded to tees; caps; socks; tote bags, (2) gained presence in third-party online retail platforms, and (3) were ordered by consumers within the Asia region by mid 2022. Coinciding with those company outcomes, the case also describes, in body text and in several exhibits, the nature of competition and recent demand of sneakers/athleisure footwear globally and in selected markets, particularly Thailand during the COVID19 pandemic. By May 2022, the Thailand government had announced its intentions to relax COVID19 restrictions and return to 'normal' effective 1 July 2022. As such, as indicated in the title, this case can be used to engage students in analyzing and discussing the growth/expansion opportunities that Nida can consider, which growth/expansion opportunities should be seized, and how a corresponding strategy and action plan could be implemented. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Asian Case Research Journal. 2023/09, Vol. 27, Issue 3, p231
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2023
- ISSN:0218-9275
- DOI:10.1142/S0218927523500153
- Accession Number:174758080
- Copyright Statement:Copyright of Asian Case Research Journal is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.