The role of artificial intelligence in shaping the future of Agile fashion industry

被引:17
|
作者
Mohiuddin Babu, Mujahid [1 ]
Akter, Shahriar [2 ]
Rahman, Mahfuzur [3 ]
Billah, Md Morsaline [4 ]
Hack-Polay, Dieu [3 ]
机构
[1] Coventry Univ, Sch Mkt & Management, Coventry, W Midlands, England
[2] Univ Wollongong, Sch Business, Wollongong, NSW 2522, Australia
[3] Univ Lincoln, Lincoln Int Business Sch, Lincoln, England
[4] Khulna Univ, Biotechnol & Genet Engn, Khulna, Bangladesh
关键词
Artificial intelligence; dynamic capability; big data analytics; apparel; textile and fashion industry; Agile manufacturing; BIG DATA ANALYTICS; DYNAMIC CAPABILITIES; ORGANIZATIONAL PERFORMANCE; SUPPLY CHAIN; MANAGEMENT; KNOWLEDGE; FIRM; TECHNOLOGY; ENTERPRISE; SYSTEM;
D O I
10.1080/09537287.2022.2060858
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Artificial intelligence (AI) has become an integral part of every industry. With the emergence of big data, the industries, and more especially textile and apparel (T&A) industry, are on the brink of relationships with consumers, suppliers, and competitors. They need to handle different scenarios with a multitude of complex correlations and dependencies between them and uncertainties arising from human interaction. It has become imperative for them to manage huge amounts of data for the optimization of decision-making processes. In such circumstances, AI techniques have shown promise in every segment of the T&A value chain, from product discovery to robotic manufacturing. The potential wide-ranging applications of AI in T&A industry have found their ways into design support systems to T&A recommendation systems, intelligent tracking systems, quality control, T&A forecasting, predictive analytics in supply chain management or social networks and T&A e-commerce. The research recourses to the qualitative method in the form of systematic literature review and in-depth interviews from senior management people and industry experts. Findings identify the dimensions of AI to develop dynamic capability along with its potential impact and probable challenges. As such, the findings contribute to relevant literature and offer useful insights for academia and practitioners.
引用
收藏
页码:2084 / 2098
页数:15
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