In an age where performers like Lady Gaga and Rihanna are running the show, it's no wonder more shoots like this Ming Xi Style Magazine July 2011 one have emerged. Donning a fiery wig, Ming Xi makes a bold hair statement in this shoot.
The Ming Xi Style Magazine spread, titled 'Purple Reign,' was elegantly captured by photographer Zach Gold, who captured Xi in a variety of cutting-edge looks. The styling for the shoot was done by Julie Ragolia, who chose looks from the likes of Jason Wu, Parkchoonmoo, Miu Miu and Dolce & Gabbana. This is one shoot that certainly pushes extreme hairstyles to new heights!
Implications - The fashion world shares a mutually beneficial relationship with Hollywood stars, as both stars themselves as well as the fashion world are influenced by one another. As a result of this companies too can tap into current stylings in both the celebrity and fashion worlds in order to forecast appropriate product designs for future products.
Fiery Fru-Fru Updos
This Ming Xi Style Magazine July 2011 Spread Showcases Haute Couture Hair
Trend Themes
1. Extreme Hairstyles - Disruptive innovation opportunities in developing new hair products and accessories that cater to bold and avant-garde hairstyles.
2. Mutual Influence - Disruptive innovation opportunities in creating collaborative projects between the fashion world and Hollywood stars, merging celebrity and fashion influences.
3. Fashion Forecasting - Disruptive innovation opportunities in utilizing current stylings in the celebrity and fashion worlds to predict future trends and design appropriate product offerings.
Industry Implications
1. Haircare - Disruptive innovation opportunities in creating specialty haircare products specifically designed for extreme and avant-garde hairstyles.
2. Fashion - Disruptive innovation opportunities in developing fashion collections that blend celebrity and fashion influences.
3. Market Research - Disruptive innovation opportunities in utilizing fashion and celebrity trends to enhance market research capabilities and predict consumer preferences.