Building the Future of the Apparel Industry: The Digital Revolution in Enterprise Architecture
DOI:
10.33395/sinkron.v9i1.13260Keywords:
Apparel Industry, Architecture Framework, Digital Revolution, Enterprise Architecture, Strategic AdjustmentsAbstract
Using qualitative methodology, this study investigates the effects that the digital revolution in corporate architecture has had on the apparel industry. In this article, digital technologies, like AI, big data analytics, and the Internet of Things, are the main points of emphasis. They have revolutionized business and operational practices, as well as marketing strategies in the sector. According to the findings of this study, the implementation of advanced technologies significantly contributes to the enhancement of operational efficiency, the introduction of innovative products, and the enhancement of the competitiveness of businesses. The research also highlights the impact that digital transformation has had on sustainability and personalization in the clothing production industry. It demonstrates that adopting an enterprise architecture that is aligned with digital technologies not only increases operational efficiency but also strengthens innovative and competitive capacity. Furthermore, this research acknowledges the significance of ethically responsible and transparent business practices in this digital era, as well as taking into consideration the effects that digital transformation has on society and the environment. The findings of this study provide industry stakeholders with a strategic perspective that can be utilized in the formulation of adaptive business strategies, the exploitation of opportunities, and the facing of challenges in the ever-changing business environment that is associated with the digital era
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References
Alam, M. D., Kabir, G., & Mirmohammadsadeghi, S. (2023). A digital twin framework development for apparel manufacturing industry. 7(May).
Daoudi, W., Doumi, K., & Kjiri, L. (2023). Proposal of a sensing model in an Adaptive Enterprise Architecture. Procedia Computer Science, 219(2022), 462–470. https://doi.org/10.1016/j.procs.2023.01.313
Hindarto, D. (2023a). Application Of Customer Service Enterprise Architecture In The Transportation Industry. Journal of Computer Networks , Architecture and High Performance Computing, 5(2), 682–692.
Hindarto, D. (2023b). Blockchain-Based Academic Identity and Transcript Management in University Enterprise Architecture. 8(4), 2547–2559.
Hindarto, D. (2023c). The Management of Projects is Improved Through Enterprise Architecture on Project Management Application Systems. 3(August), 151–161.
Ilin, I. V., Levina, A. I., Dubgorn, A. S., & Abran, A. (2021). Investment models for enterprise architecture (Ea) and it architecture projects within the open innovation concept. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 1–18. https://doi.org/10.3390/joitmc7010069
Kaiser, J., Mcfarlane, D., Hawkridge, G., André, P., & Leitão, P. (2023). A review of reference architectures for digital manufacturing: Classification, applicability and open issues. 149(April).
Li, Q., Ji, H., & Huang, Y. (2022). The information leakage strategies of the supply chain under the block chain technology introduction. 110.
Mola, L., Kaminska, R., Richeb, N., & Carugati, A. (2023). Technological Forecasting & Social Change Social strategies for information technology adoption : Social regulation process of mandated enterprise social network systems. 192(February).
Närman, P., Holm, H., Höök, D., Honeth, N., & Johnson, P. (2012). Using enterprise architecture and technology adoption models to predict application usage. 85, 1953–1967. https://doi.org/10.1016/j.jss.2012.02.035
Oberle, M., Yesilyurt, O., Schlereth, A., Risling, M., & Schel, D. (2023). Enterprise IT Architecture Greenfield Design Combining IEC 62264 and TOGAF by Example of Battery Manufacturing. Procedia Computer Science, 217(2022), 136–146. https://doi.org/10.1016/j.procs.2022.12.209
Pal, K., & Yasar, A. U. H. (2020). Internet of Things and Blockchain Technology in Apparel Manufacturing Supply Chain Data Management. Procedia Computer Science, 170, 450–457. https://doi.org/10.1016/j.procs.2020.03.088
Pasa, M., & Mergen, A. E. (2021). Smart manufacturing in intelligent digital mesh: Integration of enterprise architecture and software product line engineering. 22(November 2019).
Weichhart, G., & Molina, A. (2021). Annual Reviews in Control Interoperability in the cyber-physical manufacturing enterprise. 51(December 2020), 346–356.
Xie, W., Zheng, D., Li, Z., Wang, Y., & Wang, L. (2024). Digital technology and manufacturing industrial change: Evidence from the Chinese manufacturing industry. 187(November 2023).
Yigitcanlar, T., Downie, A. T., Mathews, S., Fatima, S., Macpherson, J., Behara, K. N. S., & Paz, A. (2024). Digital technologies of transportation-related communication: Review and the state-of-the-art. 23(October 2023).
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