Investigating DIY Sneakers for Mass Customization Business Models by using 3D Printing Technology
DOI:
https://doi.org/10.56225/gjeset.v1i2.21Keywords:
Sneakers, Mass customization, 3D Printing, Generation Z, Personal styleAbstract
Sneakers have evolved into a new fashion style popular among Generation Z, including in Indonesia. The massive use of social media has increased the sense of individualism for everyone in expressing themselves. It is one factor that supports the development of the Mass Customization Business Model. In manufacturing custom products, 3D Printing is a technology that has the advantage of producing short serial and personalized products. This study explores sneaker designs that can be customized in certain parts using 3D printing technology. We conducted existing studies and expert interviews to determine sneaker features that can be customized with 3D Printing. In this research, some experiments were also executed to determine the 3D printing material and lattice structure that are more appropriate and applicable. This research results in the application of 3D Printing on the sole and accessories that can be customized on the lace and heel. Based on consumer analysis, the more popular sneakers are unisex characters. Meanwhile, the results of observing fashion trends are the significant impact of the COVID-19 pandemic, depicted through two design concepts: Hygen (Hygienic Expression) and Radex (Radical Expression). On the basis of a series of research and experiments that have been carried out, the sneakers that Generation Z will favor are sneakers with cosmetic features that can be customized to meet individual expressions.
References
Afandi, M. T. R., & Marsasi, E. G. (2023). Fast Food Industry Investigation: The Role of Brand Attitude and Brand Loyalty on Purchase Intentions in Generation Z based on Theory of Reasoned Action. BASKARA : Journal of Business and Entrepreneurship, 5(2), 206. https://doi.org/10.54268/baskara.v5i2.16005
Amed, I., Berg, A., Brantberg, L., Hedrich, S., Leon, J., & Young, R. (2018). The state of fashion 2019. In McKinsey & Co.
Basuki, A. (2010). Perancangan Sistem Pendukung Keputusan Pemilihan Pemasok dengan Pendekatan Fuzzy Analytical Hierarchy Process (Fuzzy AHP). Rekayasa, 3(1), 42–50.
Beaver, T. D. (2012). "By the Skaters, for the Skaters" The DIY Ethos of the Roller Derby Revival. Journal of Sport and Social Issues, 36(1), 25–49. https://doi.org/10.1177/0193723511433862
Broekhuizen, T. L. J., & Alsem, K. J. (2000). Success Factors for Mass Customization: A Conceptual Model. Journal of Market-Focused Management, 5(4), 309–330. https://doi.org/10.1023/B:JMFM.0000008072.35988.ef
Chan, A., & Astari, D. (2017). The analysis of content marketing in online fashion shops in Indonesia. Review of Integrative Business and Economics Research, 6(2), 1–225.
Cuervas-Mons, M., Espinosa, J. M., Pérez-Mañanes, R., Calvo, J., Trapero, D., & Parra, G. (2022). 3D Printing Surgical Guide for Nonunion: Technique Tip. Techniques in Orthopaedics, 37(2), 128–130. https://doi.org/10.1097/BTO.0000000000000549
Huang, P.-P. L. & H. (2020). Ergonomic Design of Shoes for People with Lower Limb Disability. Journal of Fiber Bioengineering and Informatics, 13(4), 195–209. https://doi.org/10.3993/jfbim00357
Keyser, A. J. (2015). Sneaker century: a history of athletic shoes. Twenty-First Century Books.
Kourentzes, N., Trapero, J. R., & Barrow, D. K. (2020). Optimising forecasting models for inventory planning. International Journal of Production Economics, 225(7), 107597. https://doi.org/10.1016/j.ijpe.2019.107597
Liang, D., Krishnan, R. G., Hoffman, M. D., & Jebara, T. (2018). Variational Autoencoders for Collaborative Filtering. Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 689–698. https://doi.org/10.1145/3178876.3186150
Marchena-Rodriguez, A., Ortega-Avila, A. B., Cervera-Garvi, P., Cabello-Manrique, D., & Gijon-Nogueron, G. (2020). Review of Terms and Definitions Used in Descriptions of Running Shoes. International Journal of Environmental Research and Public Health, 17(10), 35–62. https://doi.org/10.3390/ijerph17103562
McCausland, T. (2020). 3D Printing's Time to Shine. Research-Technology Management, 63(5), 62–65. https://doi.org/10.1080/08956308.2020.1790290
Meilianna, R. (2020). Labor Absorption, Inflation Volatility, and Inflation Targeting Framework (ITF): The Case of Three Economic Sectors in Indonesia. Journal of Indonesian Social Sciences and Humanities, 10(1), 59–69. https://doi.org/10.14203/jissh.v10i1.160
O'Sullivan, M., & Sheahan, C. (2019). Using Serious Games to Inform Mass Customization Production Methods from the Fuzzy Front-End of New Product Development. Procedia Manufacturing, 38(1), 478–487. https://doi.org/10.1016/j.promfg.2020.01.061
Orehek, E., & Human, L. J. (2017). Self-Expression on Social Media. Personality and Social Psychology Bulletin, 43(1), 60–70. https://doi.org/10.1177/0146167216675332
Radder, L., & Louw, L. (1999). Mass customization and mass production. The TQM Magazine, 11(1), 35–40. https://doi.org/10.1108/09544789910246615
Ren, S., Chan, H.-L., & Siqin, T. (2020). Demand forecasting in retail operations for fashionable products: methods, practices, and real case study. Annals of Operations Research, 291(1–2), 761–777. https://doi.org/10.1007/s10479-019-03148-8
Roche, C. (2021). An Investigation into the levels of engagement of Gen Z in the Collaborative Clothing Consumption Industry (pp. 1–91). Dublin, National College of Ireland.
Salvador, F., Piller, F. T., & Aggarwal, S. (2020). Surviving on the long tail: An empirical investigation of business model elements for mass customization. Long Range Planning, 53(4), 101886.
Williams, A., & Heo, Y. (2023). Once upon a time: using brand stories to sell signature sneakers. International Journal of Sports Marketing and Sponsorship, 24(5), 950–966. https://doi.org/10.1108/IJSMS-03-2022-0082
Xie, F., & Derakhshan, A. (2021). A Conceptual Review of Positive Teacher Interpersonal Communication Behaviors in the Instructional Context. Frontiers in Psychology, 12(7), 490–708. https://doi.org/10.3389/fpsyg.2021.708490
Zhang, X., & Ming, X. (2023). A Smart system in Manufacturing with Mass Personalization (S-MMP) for blueprint and scenario driven by industrial model transformation. Journal of Intelligent Manufacturing, 34(4), 1875–1893. https://doi.org/10.1007/s10845-021-01883-z
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Copyright @2023 by authors. Published by Scientia Global Academia (SGA) Services. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted to copy and redistribute the material in any medium or format, remix, transform, and build upon the material for any purpose, even commercially.
This work is licensed under a Creative Commons Attribution 4.0 International License.
