Design Elements That Increase the Willingness to Pay for Denim Fabric Products
Abstract
:1. Introduction
1.1. Hypothesis
1.1.1. Traditional Design
1.1.2. Transformative Design
1.1.3. Pattern Design
1.1.4. Multi-Material Design
1.1.5. Decorative Design
1.1.6. Fast Fashion Brands
1.1.7. Luxury Brands
2. Materials and Methods
2.1. Questionnaire Summary
2.2. Questionnaire Design
2.2.1. Sampling
- (As shown in the Section on Survey Contents) The data on the purchase price per denim fabric product, as the dependent variable, were collected as a multiple -choice question. Respondents who selected “more,” which could not be quantified, were excluded. Additionally, after confirming the distribution of responses after the logarithmic conversion, we confirmed that the distribution was biased. Since this bias in the distribution would cause a bias in the statistical results, respondents who chose higher than 100,000 JPY were excluded as outliers.
- A Likert scale and binary variables were used in the questionnaire. Respondents who answered with the same number to all questionnaire items were excluded.
- No age limit was set for the respondents in the questionnaire; however, on one questionnaire, the participant’s age was stated as 99 years old. We assumed that leaving such response in the dataset would impact the reliability of the answers. Therefore, we set the limit as 65 years for the respondents because it is the general retirement age in Japan. Respondents above this age were excluded.
2.2.2. Major Survey Contents
2.3. Statistical Analysis
2.3.1. Dependent Variable
2.3.2. Explanatory Variables
2.3.3. Control Variables
2.3.4. Empirical Specifications
3. Results
3.1. Results of the Basic Analysis without Interaction
3.2. Results of the Analysis with the Interaction Term of Fast Fashion
3.3. Results of the Analysis with the Interaction Term of Luxury Brands
4. Discussion
4.1. Discussion of the Basic Analysis
4.2. Discussion of the Analysis with Fast Fashion Brands
4.3. Discussion of the Analysis with Luxury Brands
5. Conclusions
5.1. Theorical Implications
5.2. Practical Implications
5.3. Limitations and Future Research
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Júnior, H.L.O.; Neves, R.M.; Monticeli, F.M.; Dall Agnol, L. Smart Fabric Textiles: Recent Advances and Challenges. Textiles 2022, 2, 582–605. [Google Scholar] [CrossRef]
- Tabassum, M.; Zia, Q.; Zhou, Y.; Wang, Y.; Reece, M.J.; Su, L. A Review of Recent Developments in Smart Textiles Based on Perovskite Materials. Textiles 2022, 2, 447–463. [Google Scholar] [CrossRef]
- Krifa, M. Electrically conductive textile materials—Application in flexible sensors and antennas. Textiles 2021, 1, 239–257. [Google Scholar] [CrossRef]
- Su, Y.; Li, W.; Cheng, X.; Zhou, Y.; Yang, S.; Zhang, X.; Chen, C.; Yang, T.; Pan, H.; Xie, G.; et al. High-performance piezoelectric composites via β phase programming. Nat. Commun. 2022, 13, 1–12. [Google Scholar] [CrossRef]
- Fujioka, R.; Wuds, B. Competitiveness of the Japanese Denim and Jeans Industry: The Cases of Kaihara and Japan Blue, 1970–2015; European Fashion: Manchester, UK, 2020. [Google Scholar]
- Rahman, O. Understanding Consumer’s Perceptions and Buying Behaviors: Implications for Denim Jeans Design. Wilson Coll. Text. 2011, 7, 1–16. [Google Scholar]
- Seninde, D.R.; Chambers IV, E.; Chambers, D.H.; Chambers, V.E. Development of a Consumer-Based Quality Scale for Artisan Textiles: A Study with Scarves/Shawls. Textiles 2021, 1, 483–503. [Google Scholar] [CrossRef]
- Su, J.; Tong, X. Brand Personality, Consumer Satisfaction, and Loyalty: A Perspective from Denim Jeans Brands. Fam. Consum. Sci. 2016, 44, 427–446. [Google Scholar] [CrossRef] [Green Version]
- Candi, M.; Haeran, J.; Suzanne, M. and Mayoor, M. Consumer responses to functional, aesthetic and symbolic product design in online reviews. J. Bus. Res. 2017, 81, 31–39. [Google Scholar] [CrossRef]
- Homburg, C.; Martin, S. and Christina, K. New product design: Concept, measurement, and consequences. J. Mark. 2015, 79, 41–56. [Google Scholar] [CrossRef]
- Simonson, A.; Schmitt, B.H. Marketing Aesthetics: The Strategic Management of Brands, Identity, and Image; Simon & Schuster: New York, NY, USA, 1997. [Google Scholar]
- Papanek, V.J. The Green Imperative: Natural Design for the Real World; Thames and Hudson: New York, NY, USA, 1995. [Google Scholar]
- Shogren, J.F.; Shin, S.Y.; Hayes, D.J.; Kliebenstein, J.B. Resolving Differences in Willingness to Pay and Willingness to Accept. Am. Econ. Rev. 1994, 84, 255–270. [Google Scholar]
- Rahman, O. Denim Jeans: A Qualitative Study of Product Cues, Body Type, and Appropriateness of Use. Fash. Pract. J. Des. Creat. Process Fash. Ind. 2015, 7, 53–74. [Google Scholar]
- Card, A.; Moore, M.A.; Ankeny, M. Garment Washed Jeans: Impact of Launderings on Physical Properties. Int. J. Cloth. Sci. Technol. 2006, 18, 43–52. [Google Scholar] [CrossRef]
- Abrego, S. Cone Mills Denim: An Investigation into Fabrication, Tradition, and Quality. Fash. Theory 2019, 23, 515–530. [Google Scholar] [CrossRef]
- Cassidy, T.D.; Bennett, H.R. The Rise of Vintage Fashion and the Vintage Consumer. Fash. Pract. J. Des. Creat. Process Fash. Ind. 2012, 4, 239–261. [Google Scholar] [CrossRef]
- Moon, H.; Miller, D.R.; Kim, S.H. Product Design Innovation and Customer Value: Cross-Cultural Research in the United States and Korea. J. Prod. Innov. Manag. 2013, 30, 31–43. [Google Scholar] [CrossRef]
- Miller, D.; Woodward, S. Manifesto for a Study of Denim, Social Anthropology. Eur. Assoc. Soc. Anthropol. 2008, 15, 335–351. [Google Scholar] [CrossRef]
- Feijis, L.M.G.; Toeters, M.G. Cellular Automata-Based Generative Design of Pied-De-Poule Patterns Using Emergent Behavior: Case Study of How Fashion Pieces Can Help to Understand Modern Complexity. Int. J. Des. 2018, 12, 127–144. [Google Scholar]
- Micheli, P.; Gemser, G. Signaling Strategies for Innovative Design: A Study on Design Tradition and Expert Attention. J. Prod. Innov. Manag. 2016, 33, 613–627. [Google Scholar] [CrossRef]
- Loschek, I. When Clothes Become Fashion: Design and Innovation Systems; Berg Publishers: Oxford, UK, 2009. [Google Scholar]
- Townsend, K. The Denim Garment as Canvas: Exploring the Notion of Wear as a Fashion and Textile Narrative. Text. Cloth Cult. 2015, 9, 90–107. [Google Scholar] [CrossRef]
- Cachon, G.P.; Swinney, R. The Value of Fast Fashion: Quick Response, Enhanced Design, and Strategic Consumer Behavior. Manag. Sci. 2011, 57, 778–795. [Google Scholar] [CrossRef] [Green Version]
- Bhardwaj, V.; Fairhurst, A. Fast Fashion: Response to Changes in the Fashion Industry. Int. Rev. Retail. Distrib. Consum. Res. 2010, 20, 165–173. [Google Scholar] [CrossRef]
- Rahman, O.; Gong, M. Sustainable Practices and Transformable Fashion Design—Chinese Professional and Consumer Perspectives. Int. J. Fash. Des. Technol. Educ. 2016, 9, 233–247. [Google Scholar] [CrossRef]
- Fuchs, C.; Prandelli, E.; Schreier, M.; Dahl, D.W. All that is users might not be gold: How labeling products as user designed backfires in the context of luxury fashion brands. J. Mark. 2013, 77, 75–91. [Google Scholar] [CrossRef] [Green Version]
- Heine, K. The Personality of Luxury Fashion Brands. J. Glob. Fash. Mark. 2010, 1, 154–163. [Google Scholar] [CrossRef]
- Jain, S.; Khan, M.N.; Mishra, S. Understanding Consumer Behavior regarding Luxury Fashion Goods in India Based on the Theory of Planned Behavior. J. Asia Bus. Stud. 2017, 11, 4–21. [Google Scholar] [CrossRef]
- Wu, M.-S.S.; Chaney, I.; Chen, C.-H.S.; Nguyen, B.; Melewar, T.C. Luxury fashion brands: Factors influencing young female consumers’ luxury fashion purchasing in Taiwan. Qual. Mark. Res. 2015, 18, 298–319. [Google Scholar] [CrossRef] [Green Version]
- Li, G.; Li, G.; Kambele, Z. Luxury Fashion Brand Consumers in China: Perceived Value, Fashion Lifestyle, and Willingness to Pay. J. Bus. Res. 2012, 65, 1516–1522. [Google Scholar] [CrossRef]
- Bye, E.; Sohn, M. Technology, Tradition, and Creativity in Apparel Designers: A Study of Designers in Tree US Companies. Fash. Pract.: J. Des. Creat. Process Fash. Ind. 2010, 2, 199–222. [Google Scholar] [CrossRef]
- Cochran, W.G. Sampling Techniques, 3rd ed.; John Wiley & Sons: Hoboken, NJ, USA, 1977. [Google Scholar]
- Statistics Bureau of Japan. Result of the Population Estimates. Available online: https://www.stat.go.jp/english/data/jinsui/tsuki/index.html (accessed on 9 October 2021).
- Household Survey (Ministry of Internal Affairs and Communications). Available online: https://www.stat.go.jp/data/kakei/longtime/soutan.html (accessed on 10 January 2022).
- Hair, J.F.; Black, B.; Babin, B.; Anderson, R.E.; Tatham, R.L. Multivariate Data Analysis; Pearson Prentice Hall, Pearson Education: Upper Saddle River, NJ, USA, 2006; pp. 1–816. [Google Scholar]
- Bacon, D.R.; Sauer, P.L.; Young, M. Composite Reliability in Structural Equations Modeling. Educ. Psychol. Meas. 1995, 55, 394–406. [Google Scholar] [CrossRef]
- Tavakol, M.; Dennick, R. Making Sense of Cronbach’s Alpha. Int. J. Med. Educ. 2011, 2, 53–55. [Google Scholar] [CrossRef]
- James, G.; Witten, D.; Hastie, T.; Tibshirani, R. An Introduction to Statistical Learning: With Applications in R, 1st ed.; Springer: Berlin/Heidelberg, Germany, 2014; p. 112. [Google Scholar]
- Dunne, L.; Stivoric, J. Fashioning Bodily Knowledge: BodyMedia’s Pervasive Body-Monitoring Portal. Fash. Pract. J. Des. Creat. Process Fash. Ind. 2013, 5, 107–116. [Google Scholar] [CrossRef]
- Quinn, G.P.; Queen, J.P. Experimental Design and Data Analysis for Biologists; The Press Syndicate of the University of Cambridge: Cambridge, UK, 2002. [Google Scholar]
- Cirella, S. Organizational Variables for Developing Collective Creativity in Business: A Case from an Italian Fashion Design Company. Creat. Innov. Manag. 2016, 25, 331–343. [Google Scholar] [CrossRef]
- Gronow, J. Taste and Fashion: The Social Function of Fashion and Style. Acta Sociol. 1993, 36, 89–100. [Google Scholar] [CrossRef]
- Mete, F. The Creative Role of Sources of Inspiration in Clothing Design. Int. J. Cloth. Sci. Technol. 2006, 18, 278–293. [Google Scholar] [CrossRef]
- Bruce, M.; Daly, L. Buyer Behaviour for Fast Fashion. J. Fash. Mark. Manag. 2006, 10, 329–344. [Google Scholar]
- Crofton, S.O.; Dopico, L.G. ZARA-Inditex and the Growth of Fast Fashion. Essays Econ. Bus. Hist. 2007, 25, 41–54. [Google Scholar]
- Giacomin, J. What Is Human Centred Design? Des. J. 2014, 17, 606–623. [Google Scholar] [CrossRef] [Green Version]
- Jones, G.G.; Pouillard, V. Christian Dior: A New Look for Haute Couture; Harvard Business School Entrepreneurial Management: Boston, MA, USA, 2009. [Google Scholar]
- Chiva, R.; Alegre, J. Investment in Design and Firm Performance: The Mediating Role of Design Management. J. Prod. Innov. Manag. 2009, 26, 424–440. [Google Scholar] [CrossRef]
- Louis, D.; Lombart, C. Impact of Brand Personality on Three Major Relational Consequences (Trust, Attachment, and Commitment to the Brand). J. Prod. Brand Manag. 2010, 19, 114–130. [Google Scholar] [CrossRef]
- Rahman, O.; Jiang, Y.; Liu, W.S. Evaluative Criteria of Denim Jeans: A Cross-National Study of Functional and Aesthetic Aspects. Des. J. 2010, 13, 291–311. [Google Scholar] [CrossRef]
- Sung, Y.; Kim, J. Effects of brand personality on brand trust and brand affect. Phycol. Mark. 2010, 27, 639–661. [Google Scholar] [CrossRef]
Fast Fashion Brands | You like fast fashion brands (H&M, ZARA, UNIQLO, etc.) and often buy their products. |
Luxury Brands | You like luxury brands (Gucci, Louis Vuitton, etc.) and often buy their products. |
Questionnaire Items | Questionnaire Contents |
---|---|
Traditional 1 | You often buy products that maintain the old design. |
Traditional 2 | You like to buy replicas and reprinted brands. |
Traditional 3 | You share reprinted or old designs with others. |
Traditional 4 | You feel an attraction to products that the old design is maintained. |
Traditional 5 | You are someone who has knowledge of the old design. |
Traditional 6 | You like to search old designs in magazines and books. |
Transformative 1 | You prefer products that are not the same shape as others. |
Transformative 2 | You often buy unusual products or products that have never been seen before. |
Transformative 3 | You like eccentric products rather than simple ones. |
Transformative 4 | You find seemingly unusual products attractive. |
Transformative 5 | You prefer to wear something that does not match with that worn by others. |
Transformative 6 | When you see a seemingly unusual design in a collection or a magazine, you find it attractive. |
Pattern 1 | You usually use patterned clothes. |
Pattern 2 | You like to buy products that have ethnic patterns. |
Pattern 3 | You prefer patterned products over simple products. |
Pattern 4 | You find products with original patterns and unique patterns attractive. |
Pattern 5 | You feel that the products that have patterns in every detail are highly valued. |
Pattern 6 | You like to put patterns in daily coordination. |
Multi-Material 1 | You like products that use multiple fabrics in one product. |
Multi-Material 2 | You often buy products with multiple different colors depending on the fabric. |
Multi-Material 3 | You like products that look different depending on the angle. |
Multi-Material 4 | You find a design created via a combination of fabrics attractive. |
Multi-Material 5 | You pay attention to the products that combine different fabrics. |
Multi-Material 6 | Many products that you chose for everyday wear use multiple fabrics. |
Decorative 1 | You like clothes with print designs and often buy them. |
Decorative 2 | You often wear products with an emblem. |
Decorative 3 | You prefer products with decorations (prints, patches, etc.) over simple designs. |
Decorative 4 | You often buy products that show the brand logo. |
Decorative 5 | You like to observe the decoration of clothing. |
Decorative 6 | The clothes you wear are often decorated. |
Questionnaire Items | Traditional Design | Transformative Design | Pattern Design | Multi-Material Design | Decorative Design |
---|---|---|---|---|---|
Traditional 1 | 0.76 | ||||
Traditional 2 | 0.86 | ||||
Traditional 3 | 0.83 | ||||
Traditional 4 | 0.80 | ||||
Traditional 5 | 0.82 | ||||
Traditional 6 | 0.85 | ||||
Transformative 1 | 0.73 | ||||
Transformative 2 | 0.84 | ||||
Transformative 3 | 0.78 | ||||
Transformative 4 | 0.86 | ||||
Transformative 5 | 0.78 | ||||
Transformative 6 | 0.79 | ||||
Pattern 1 | 0.66 | ||||
Pattern 2 | 0.65 | ||||
Pattern 3 | 0.82 | ||||
Pattern 4 | 0.85 | ||||
Pattern 5 | 0.79 | ||||
Pattern 6 | 0.83 | ||||
Multi-Material 1 | 0.84 | ||||
Multi-Material 2 | 0.81 | ||||
Multi-Material 3 | 0.81 | ||||
Multi-Material 4 | 0.82 | ||||
Multi-Material 5 | 0.87 | ||||
Multi-Material 6 | 0.83 | ||||
Decorative 1 | 0.78 | ||||
Decorative 2 | 0.79 | ||||
Decorative 3 | 0.87 | ||||
Decorative 4 | 0.65 | ||||
Decorative 5 | 0.61 | ||||
Decorative 6 | 0.82 | ||||
Average Variance Extracted | 0.67 | 0.64 | 0.59 | 0.69 | 0.58 |
Composite Reliability | 0.93 | 0.91 | 0.90 | 0.93 | 0.89 |
Cronbach’s α | 0.93 | 0.91 | 0.89 | 0.93 | 0.89 |
Full Model | Stepwise | |||
---|---|---|---|---|
Coefficient | Standard Error | Coefficient | Standard Error | |
Traditional Design | 0.07 ** | 0.02 | 0.07 ** | 0.02 |
Transformative Design | 0.05 * | 0.03 | 0.06 * | 0.02 |
Pattern Design | −0.04 † | 0.03 | −0.05 * | 0.02 |
Multi-Material Design | 0.02 | 0.03 | ||
Decorative Design | −0.03 | 0.03 | ||
Gender | 0.20 ** | 0.04 | 0.20 ** | 0.04 |
Age | 0.00 | 0.06 | ||
Annual Purchase of Clothes | 0.30 ** | 0.03 | 0.30 ** | 0.03 |
Fast Fashion Brands | −0.42 ** | 0.04 | −0.40 ** | 0.04 |
Selected Shop Brands | 0.22 ** | 0.04 | 0.23 ** | 0.04 |
Casual Brands | 0.02 | 0.04 | ||
Luxury Brands | 0.29 ** | 0.07 | 0.29 ** | 0.09 |
Constant | 5.68 ** | 0.40 | 5.67 ** | 0.33 |
Adjusted R-squared | 0.32 | 0.33 |
Full Model | Stepwise | |||
---|---|---|---|---|
Coefficient | Standard Error | Coefficient | Standard Error | |
Traditional Design | 0.11 ** | 0.03 | 0.12 ** | 0.04 |
Traditional Design × Fast Fashion Brands | −0.07 † | 0.04 | −0.08 * | 0.04 |
Transformative Design | 0.07 † | 0.04 | 0.06 * | 0.02 |
Transformative Design × Fast Fashion Brands | −0.03 | 0.05 | ||
Pattern Design | −0.07 | 0.05 | −0.04 | 0.03 |
Pattern Design × Fast Fashion Brands | 0.04 | 0.05 | ||
Multi-Material Design | 0.05 | 0.05 | ||
Multi-Material Design × Fast Fashion Brands | −0.05 | 0.06 | ||
Decorative Design | −0.09 * | 0.04 | −0.08 * | 0.04 |
Decorative Design × Fast Fashion Brands | 0.11 * | 0.05 | 0.10 * | 0.04 |
Gender | 0.20 ** | 0.04 | 0.20 ** | 0.04 |
Age | 0.00 | 0.06 | ||
Annual Purchase of Clothes | 0.29 ** | 0.03 | 0.30 ** | 0.03 |
Fast Fashion Brands | −0.41 ** | 0.04 | −0.41 ** | 0.04 |
Selected Shop Brands | 0.23 ** | 0.04 | 0.23 ** | 0.04 |
Casual Brands | 0.01 | 0.04 | ||
Luxury Brands | 0.29 ** | 0.07 | 0.30 ** | 0.07 |
Constant | 5.66 ** | 0.40 | 5.65 ** | 0.33 |
Adjusted R-squared | 0.33 | 0.33 |
Full Model | Stepwise | |||
---|---|---|---|---|
Coefficient | Standard Error | Coefficient | Standard Error | |
Traditional Design | 0.09 ** | 0.02 | 0.09 ** | 0.02 |
Traditional Design × Luxury Brands | −0.37 ** | 0.09 | −0.34 ** | 0.08 |
Transformative Design | 0.05 † | 0.03 | 0.05 † | 0.02 |
Transformative Design × Luxury Brands | 0.22 † | 0.12 | 0.27 ** | 0.10 |
Pattern Design | −0.05 † | 0.03 | −0.05 * | 0.02 |
Pattern Design × Luxury Brands | 0.10 | 0.12 | ||
Multi-Material Design | 0.02 | 0.03 | ||
Multi-Material Design × Luxury Brands | 0.00 | 0.11 | ||
Decorative Design | −0.03 | 0.03 | ||
Decorative Design × Luxury Brands | −0.02 | 0.10 | ||
Gender | 0.20 ** | 0.04 | 0.19 ** | 0.04 |
Age | 0.00 | 0.06 | ||
Annual Purchase of Clothes | 0.29 ** | 0.03 | 0.29 ** | 0.03 |
Fast Fashion Brands | −0.41 ** | 0.04 | −0.40 ** | 0.04 |
Selected Shop Brands | 0.23 ** | 0.04 | 0.23 ** | 0.04 |
Casual Brands | 0.03 | 0.04 | ||
Luxury Brands | 0.41 ** | 0.09 | 0.40 ** | 0.08 |
Constant | 5.73 ** | 0.39 | 5.70 ** | 0.32 |
Adjusted R-squared | 0.33 | 0.34 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Miyauchi, R.; Zhou, X.; Inoue, Y. Design Elements That Increase the Willingness to Pay for Denim Fabric Products. Textiles 2023, 3, 11-25. https://doi.org/10.3390/textiles3010002
Miyauchi R, Zhou X, Inoue Y. Design Elements That Increase the Willingness to Pay for Denim Fabric Products. Textiles. 2023; 3(1):11-25. https://doi.org/10.3390/textiles3010002
Chicago/Turabian StyleMiyauchi, Ryoga, Xiaoxiao Zhou, and Yuki Inoue. 2023. "Design Elements That Increase the Willingness to Pay for Denim Fabric Products" Textiles 3, no. 1: 11-25. https://doi.org/10.3390/textiles3010002
APA StyleMiyauchi, R., Zhou, X., & Inoue, Y. (2023). Design Elements That Increase the Willingness to Pay for Denim Fabric Products. Textiles, 3(1), 11-25. https://doi.org/10.3390/textiles3010002