Building the Future of the Apparel Industry: The Digital Revolution in Enterprise Architecture

Djarot Hindarto
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Abstract

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
打造服装业的未来:企业架构的数字化革命
本研究采用定性方法,调查了企业架构中的数字革命对服装行业的影响。在本文中,人工智能、大数据分析和物联网等数字技术是重点。它们彻底改变了该行业的业务和运营实践以及营销策略。根据这项研究的结果,先进技术的应用大大有助于提高运营效率、推出创新产品和增强企业竞争力。研究还强调了数字化转型对服装生产行业可持续性和个性化的影响。研究表明,采用与数字技术相匹配的企业架构不仅能提高运营效率,还能增强创新能力和竞争能力。此外,本研究还认识到,在这个数字化时代,有道德责任感和透明的商业实践具有重要意义,同时也考虑到了数字化转型对社会和环境的影响。本研究的结论为行业利益相关者提供了一个战略视角,可用于制定适应性商业战略、利用机遇,以及在与数字时代相关的瞬息万变的商业环境中应对挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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发文量
204
审稿时长
4 weeks
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