05212nam a22006135i 4500 978-981-97-3674-4 DE-He213 20260319152502.0 cr nn 008mamaa 241001s2024 si | s |||| 0|eng d 9789819736744 978-981-97-3674-4 10.1007/978-981-97-3674-4 doi HD30.28 HD57.7 KJC bicssc BUS063000 bisacsh KJC thema Park, Young Won. author. aut http://id.loc.gov/vocabulary/relators/aut 85414 Cosmetics Marketing Strategy in the Era of the Digital Ecosystem [electronic resource] : Revolutionizing Beauty in the New Market Frontier / by Young Won Park, Paul Hong. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVI, 224 p. 20 illus., 19 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter 1. Cosmetics Industry Trends in the era of DX -- Chapter 2. Strategies For An E-Commerce Platform Business In Cosmetics Industry -- Chapter 3. Cosmetics industry word of mouth marketing strategy -- Chapter 4. Cosmetics ODM Strategy: Case Study of COSMAX -- Chapter 5. Cosmetic Firms Marketing Strategy: Case Study of Shiseido -- Chapter 6. Cosmetic Firms Marketing Strategy: Case Study of FNCL -- Chapter 7. Cosmetic Firms Marketing Strategy: Case Study of Amore Pacific -- Chapter 8. Cosmetic Firms Marketing Strategy: Case Study of LG Chemical -- Chapter 9. Concluding remarks and future research issues -- Chapter 10. Outlook: Cosmetics Marketing Strategy in the era of DX. This book explores how cosmetics firms have made the transition to technology-enabled beauty companies to meet changing customer demands. For this purpose, the contexts of cosmetics industry growth and digital marketing strategy in the post-pandemic world are presented here. The digital marketing strategies of Japanese and Korean firms are shown, along with new business models and future prospects in cosmetics industries. In the post-pandemic world, the growing middle class will set priorities for beauty–hygienic goals, nutritional choices, and healthcare development needs. The growth rates of Asian economies were slowed during the COVID-19 pandemic, yet their growth opportunities were not constrained. Diverse industries—the cosmetics industry in particular—have addressed the needs of these growing segments in Asia. In keeping up with the leading business trends, cosmetics firms also have leveraged big data and built their brand partnerships across industries, applying the Internet of Things (IoT) and artificial intelligence for their product and process development. The vast amounts of big data gathered through IoT devices are now being used to improve entire value chain operations, creating a digital thread through the global value chain. These data are increasingly used to create new services and develop a business model for global firms. As of 2021, four of the top ten global cosmetics firms are from the USA (Estée Lauder, Proctor & Gamble, Coty, and Johnson & Johnson), three are from Europe (L’Oréal, Unilever, and Beiersdorf), two from Japan (Shiseido and Kao), and one from Korea (Amore Pacific). The USA and European firms still maintain their competitive advantage in the cosmetics industry. Global cosmetics market share by region shows that North Asia is the largest (35%), followed by North America (26%) and Latin America (7%), Europe (22%), and Africa and other regions (10%). With the rapid increase of the middle class in the Asia region, more sales are expected there than anywhere else. In this dynamic market environment, a real challenge for the cosmetics industry is how to develop and put into practice its own unique business model. . Strategic planning. 57225 Leadership. 4372 Telemarketing. Internet marketing. 59122 Marketing research. 57888 Business intelligence. 57215 branding marketing 58950 Business Strategy and Leadership. 67107 Digital Marketing. Market Research and Competitive Intelligence. 68642 Branding. 64224 Hong, Paul. author. (orcid)0000-0002-3293-3660 https://orcid.org/0000-0002-3293-3660 aut http://id.loc.gov/vocabulary/relators/aut 85415 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819736737 Printed edition: 9789819736751 Printed edition: 9789819736768 https://doi.org/10.1007/978-981-97-3674-4 ZDB-2-BUM ZDB-2-SXBM 63910 63910