A Brand Concept Strategy Model of T-Shirts for Young People Using Selected Conjoint Analysis

Authors

  • Junpei Marui Department of Social Engineering, Nagoya Institute of Technology, Japan
  • Sun Jing Department of Social Engineering, Nagoya Institute of Technology, Japan

DOI:

https://doi.org/10.14738/abr.108.12816

Keywords:

New product concept; Brand strategy; Fashion

Abstract

Today's T-shirt market of young people is very competitive. As the brand of T-shirt, UNIQLO、GU、Nike、Adidas、AZUL are known. This paper aims to propose a method of designing an optimal brand concept for T-shirts. In the modern highly competitive business world, marketing strategies are required to meet the increasingly complex and diverse needs of customers. Therefore, it is very important for companies to have a brand strategy in order to increase their competitiveness in the market. On the other hand, a general decline in consumer confidence among young people has begun to appear since the early 2000s. The Nikkei Regional Industry Research Institute's "Youth Attitude Survey" also shows a decrease in the ownership rate of famous foreign brand clothing in 2007 compared to that of 2000. Kuga's analysis of the Ministry of Internal Affairs and Communications' "National Survey of Consumption" also indicates that young people's interest in fashion has declined. In 2017~2019 years, GDP of Japan was increasing. However, GDP decreases greatly in 2020 because of COVID-19. In the market of Japan, Young person's spending intention in recent years continues decreasing. In this paper, we consider the case of launching a new T-shirt brand for university students of Japan. Also, we study the marketing strategy of T-shirts for young people who are considered to have decreased their interest in fashion, taking into account the complexity and diversification of their needs, using a choice-type conjoint analysis.

References

Yuko Watanabe, Kinya Machida (2020), "College Students' Fashion Purchasing Attitudes and Behaviors and the Influence of Social Media," Surugadai Economic Review, Vol. 30, No. 1.

Yuji Oura, Keishin Kono, Hideo Gozaki, Kazunori Sato (2002), "Estimation of Brand Power of Fruits and Vegetables Production Areas by Selective Conjoint Analysis", Journal of Agricultural Management, Vol.40 No.1, 106-111

Yoshida, Kentaro (2003), "Verification of Sequential Effects of Environmental Risk Information by Selective Conjoint Analysis", Journal of Rural Planning, Vol.21, No.4, 303-312

Terufumi Naka and Takashi Fujimoto (2002), "Multidimensional Management Evaluation of Agricultural Technology by Selective Conjoint Analysis", Journal of Agricultural Management, Vol.40 No.1, 1-9

Kazuo Sato, Hiroyuki Iwamoto, Katsuhiko Demura (2000), "Evaluation of the attributes of Hokkaido rice by selective conjoint analysis", Journal of Agricultural and Forestry Research,Vol.35 No.4,242-245

Ouyangni, Tetsuhiro Inoue (2017), "A Study of Marketing Strategy for Late Entrants in the Tea Market Using Selective Conjoint Analysis", Graduate School of Business Administration, Keio University.

Koichi Kuriyama and Hiroshi Ishii (1999), "Environmental Value and Market Competitiveness of Recycled Products: Evaluation by Conjoint Analysis," Journal of Environmental Science, 12(1), 17-26

Akinori Okamoto, Tsuyoshi Moriguchi (2010), Data Analysis of Marketing, Asakura Publishing Co.

Akinori Okamoto, Masaaki Kijima, Tsuyoshi Moriguchi (2001), Mathematical Model of Marketing, Asakura Publishing Co.

Koichi Kuriyama,(2000), "Conjoints in Excel", Research Report of the Environmental Assessment Forum

Nobuhiko Terui, W.D. Dahana, Masataka Ban,(2009), Statistical Analysis of Marketing, Asakura Shoten

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Published

2022-08-15

How to Cite

Marui, J., & Jing, S. (2022). A Brand Concept Strategy Model of T-Shirts for Young People Using Selected Conjoint Analysis. Archives of Business Research, 10(8), 49–61. https://doi.org/10.14738/abr.108.12816