Fashion Design Research Articles

THE ROLE OF BIG DATA ANALYSIS IN FASHION DESIGN

Today, as the contemporary, economic and cultural landscape becomes increasingly volatile, the dynamics of the fashion industry are becoming less predictable. The fast-changing fashion industry is constantly generating data. Big data is a powerful tool that offers new and exciting opportunities for fashion designers. It is used for different purposes such as understanding consumer behaviour, predicting trends and creating more personalized products. Design processes that were previously driven by intuition and instinct have become more fluid, data and goal-oriented with the opportunities offered by big data. This article aims to reveal the purposes of using big data by investigating fashion design models based on big data in the fashion industry in recent years. For this purpose, the current models of big data in fashion design, its limitations and development direction are discussed. While many of the areas of use of big data in the fashion industry (trend analysis, demographic, geographical analysis, age and gender, etc.) have been intensively researched, the number of purely design-oriented research is only recently increasing. This study is unique in that it focuses on the design phenomenon and applications of big data in fashion. In this context, there is no academic study in the national literature. It is expected to contribute to the discussion on the effects of big data and big data-based digital technologies in fashion design.

Color Analysis of Brocade from the 4th to 8th Centuries Driven by Image-Based Matching Network Modeling

To achieve the color matching rules for the textiles discovered during Silk Road excavations between the 4th and 8th centuries, this research proposed an image-based matching network modeling method. The Silk Road facilitated trade and cultural exchange between the East and West, and the textiles found along the way depict the development of fabrics in a color scheme with great cultural significance. A total of 165 images with brocade patterns were collected from a book with a detailed description of the Western influences on textiles along the Silk Road. Two different clustering methods, including the K-means clustering method and octree quantization approach, were used to extract the primary and secondary colors. By combining the HSV color space with the PCCS color system, the color distribution was analyzed to discover the features of representative color patterns. The co-occurrence relationship of the auxiliary colors was explored using the Apriori algorithm, and a total of eight association rules were established. The results showed that the K-means clustering algorithm can show a better effect of color classification to obtain three primary colors and nine secondary colors. The matching mechanism with a visualized network model was also proposed, which showed that reddish-yellow tones are the main colors in the brocade patterns, and the light and soft tones separately account for 27% and 20%. Beige and brown are the most common colorways, with a confidence level of 47%. One style of brocade pattern was used to demonstrate different appearances within various color networks, which could be applied to 3D virtual fitting. This image-based matching network modeling approach makes the color matching schemes visible, and can assist fashion design with fabric features influenced by historical and cultural development.

Analisis Kemampuan Membuat Pola Rok Pias 6 Siswa Kelas X Tata Busana SMK Negeri 1 Beringin

The pias 6 skirt is a type of pias that has 6 pieces or pias. Pias skirt has several types such as skirt pias 2, skirt pias 5, skirt pias 6, skirt pias 7, and skirt pias 8. Students still feel difficulties in making pias skirt patterns 6 such as when measuring pattern sizes systematically, less skilled in the use of reading pattern signs such as the direction of pattern signs, pattern lines, use of various wrong pattern lines. In tracing the pias skirt pattern 6, the students were less capable in understanding pattern images. In placing the pattern on the material design it is still not precise and still does not match the fabric fiber, and is not correct in making the seam according to the instructions given. This research aims to determine the ability to make skirt patterns for 6 class X students Fashion Design at SMK Negeri 1 Beringin. This research was conducted in June 2018. The research location was at SMK Negeri 1 Banyan. The research is descriptive research. The population in this study was 48 students consists of 2 classes X. The sampling technique uses random sampling, namely 30 students in class X students. The data collection tool used was an observation sheet carried out by 5 observer whose grid consists of 19 indicators, scoring is determined with a value range of 4-1. Level the ability to make pias skirt patterns 6 in class X Fashion Design students at SMK Negeri 1 Beringin is at 79.80 and a standard deviation of 12.5 with the highest value of 93.5 and the lowest value of 56.5. from 30 samples. The research found that there were no very good results, 27 students (90%) obtained good results good, 2 students (310%) students got sufficient results and 1 student (3.33%) got poor results. This, it can be concluded that the students' ability to make pias skirt patterns is 6 in class X Fashion Design SMK Negeri 1 Beringin tends to be good.

Recycling Fabrics into Contemporary youth Fashion Designs Using Artificial Intelligence (Ai) Applications to Achieve Sustainability in the Fashion Industry

Recycling Fabrics into Contemporary youth Fashion Designs Using Artificial Intelligence (Ai) Applications to Achieve Sustainability in the Fashion Industry

The Role of Artificial Intelligence in Fashion Design

This research investigates the role of artificial intelligence (AI) in fashion design, focusing on its potential to foster innovative and aesthetically striking designs. The study explores the level of interest among emerging fashion designers, including students from design and arts colleges, as well as individuals keen on distinctive and avant-garde fashion. The research aims to achieve its objectives using descriptive, analytical, and quasi-experimental methodologies. Findings reveal that while there is significant interest among fashion design students and professionals in AI-based design, challenges arise from the limited availability of learning resources, hindering their ability to fully grasp and apply this technology. The study concludes that there is an urgent need to integrate AI into fashion design education, as it can significantly benefit the industry and its practitioners. Recommendations include expanding specialised research connecting AI with fashion design, enhancing university curricula with crucial AI concepts, and focusing on technological advancements and AI applications in fashion design and forecasting.

The Intrinsic Motivation for Continuous Usage Intention of Generative AI In the Fashion Design Field : A Self-Determination Theory Perspective

The Intrinsic Motivation for Continuous Usage Intention of Generative AI In the Fashion Design Field : A Self-Determination Theory Perspective

To What Extend Does Jewish Business Thinking Model and Practise Affect Modern Enterprise Management in Chinese Fashion Industry

Jewish is famous for its business tradition, wisdom and creativity. According to Forbes' Rich list published in 2022, the total number of people on the list in 2022 is 2,668, of which 267 are Jewish. It is reported that 11.6 percent of the world's billionaires have Jewish backgrounds and they take up about 13 percent of the wealth in the world. Advantages such as focus on education and learning, concentrating on budget conscious and stimulate innovation, and focusing on corporate social responsibility are worth learning for Chinese fashion industry practitioners. This is because the lack of fashion design innovation, workers comprehensive ability, education and training system, and corporate social responsibility are the most important weaknesses for Chinese fashion companies. Therefore, the purpose of this paper is to explore the Jewish business tradition and characteristics, deeply understand their business concepts and behavior, and use their essence to provide insights for Chinese fashion business practitioners to improve the above weaknesses.

Characteristics of the New Chinese style in Ziggy Chen’s men’s fashion design

Characteristics of the New Chinese style in Ziggy Chen’s men’s fashion design

AI Technology Integrated Education Model for Empowering Fashion Design Ideation

The rapidly increasing importance of technology integration and generative AI in the fashion industry is prompting changes in fashion design education. This study explored a new design methodology utilizing AI for sustainable and future-oriented fashion design education. The methodology involved consulting practitioners to select ChatGPT and Midjourney as AI tools and technology, pedagogy, and content knowledge (TPACK) as the theoretical framework. An AI prompt guide was developed based on specialized books, from which an educational program was created. An experiment with 30 third- and fourth-year fashion design students showed that their overall satisfaction with AI through TPACK was 4 out of 5, suggesting that TPACK enhances students’ creativity and efficiency through generative AI. Prompt guides received a satisfaction score of 4.7, indicating their usefulness for creative and efficient design outputs. AI-powered educational programs, like ChatGPT and Midjourney, also improved student creativity and learning efficiency, with ChatGPT scoring 4.5. However, concerns about technology dependency were noted. This study offers insights into integrating the latest technology into fashion design to improve process efficiency and creative output. This study not only provides a foundation for future research on AI design methodology but also explores practical directions for sustainable design in the fashion industry.

HAIGEN: Towards Human-AI Collaboration for Facilitating Creativity and Style Generation in Fashion Design

The process of fashion design usually involves sketching, refining, and coloring, with designers drawing inspiration from various images to fuel their creative endeavors. However, conventional image search methods often yield irrelevant results, impeding the design process. Moreover, creating and coloring sketches can be time-consuming and demanding, acting as a bottleneck in the design workflow. In this work, we introduce HAIGEN (Human-AI Collaboration for GENeration), an efficient fashion design system for Human-AI collaboration developed to aid designers. Specifically, HAIGEN consists of four modules. T2IM, located in the cloud, generates reference inspiration images directly from text prompts. With three other modules situated locally, the I2SM batch generates the image material library into a certain designer-style sketch material library. The SRM recommends similar sketches in the generated library to designers for further refinement, and the STM colors the refined sketch according to the styles of inspiration images. Through our system, any designer can perform local personalized fine-tuning and leverage the powerful generation capabilities of large models in the cloud, streamlining the entire design development process. Given that our approach integrates both cloud and local model deployment schemes, it effectively safeguards design privacy by avoiding the need to upload personalized data from local designers. We validated the effectiveness of each module through extensive qualitative and quantitative experiments. User surveys also confirmed that HAIGEN offers significant advantages in design efficiency, positioning it as a new generation of aid-tool for designers.

Fashion Design Innovation on Market Share in Luxury Brands in South Africa

Purpose: The aim of the study was to analyze the fashion design innovation on market share in luxury brands in South Africa. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Fashion design innovation plays a crucial role in enhancing the market share of luxury brands in South Africa by driving consumer interest and brand differentiation. Innovative fashion design enables luxury brands to create unique, trend-setting collections that capture the attention of high-end consumers, thereby increasing their market presence. By adopting cutting-edge materials, incorporating cultural elements, and utilizing advanced design techniques, these brands can effectively position themselves as leaders in the luxury segment. Unique Contribution to Theory, Practice and Policy: Resource-based view (RBV) theory, disruptive innovation theory & diffusion of innovations theory may be used to anchor future studies on fashion design innovation on market share in luxury brands in South Africa. In practice, adopting sustainable design practices such as using eco-friendly materials and transparent manufacturing processes can significantly boost a luxury brand’s market share. From a policy perspective, governments and industry bodies should promote sustainability in fashion through regulatory frameworks and incentives. Policies could include subsidies for sustainable materials, certifications for eco-friendly products, and regulations encouraging transparent production processes.

Unleashing the potential of the South African designer fashion sector

Unleashing the potential of the South African designer fashion sector

Enhancing Soft Skills through Generative AI in Sustainable Fashion Textile Design Education

This study explores the significance of incorporating soft skill training in fashion design education through the use of artificial intelligence (AI) technology and examines various AI-based approaches for sustainable fashion textile design education employing a multifaceted methodology that encompasses empirical, quantitative, and qualitative methods. We investigate the aspects of Design Sprints, identify key soft skills that help students meet the complex demands of contemporary fashion design workplaces, propose a curriculum guide for AI textile design programs, and evaluate the soft skill training process. Participants included students who had completed basic fashion design courses over three to four semesters and had experience with the fashion design process. The findings confirmed that participants’ soft skills improved across four areas—digital competence, sense of initiative and entrepreneurship, problem-solving and thinking skills, and communication—through the AI-based fashion textile design curriculum. This study validates the importance of integrating AI technology into educational programs to enhance essential soft skills in the digital fashion industry environment. Additionally, it emphasizes the necessity of developing AI technology-specialized design prompts while maintaining a balance between traditional design education and digital design education for sustainable fashion design education.

Creation of Casual Fashion Design with the Source Idea of Jaranan Buto

Creation of Casual Fashion Design with the Source Idea of Jaranan Buto

Materials selection and fashion design: strengthening reflections on fibre’s nature in fibres and textiles selection

Textile ecosystems are complex productive realities, in the eye of the cyclone when it comes sustainability-related analysis. Being characterised by very complex value-chains and interconnection of productive actors, textiles production and use represent one of the most crucial challenges for the circular and sustainable transition. Their deployment is esteemed to be in growing for the next years, therefore reflections on how to improve product and materials circularity in this sector is of increasing interest in research and industrial practice. In this contribution, authors will try to map the material properties that can influence textiles application in the fashion sector, focusing on the coupling of material selection activity and application of design strategies to anticipate at best the reflections upon textiles use and recirculation. Results of this activity are then shown and discussed to question the applicability of the reported data into a fashion design activity, to promote awareness and critical reflections upon materials use while designing new fashion goods.

The Popularity of Korean 3ce Beauty Products for Female College Students - Take Wuhan Media College as an Example

With the development of the internet and global technology, multinational beauty products have also had a certain position in the Chinese market. The sales rate is also gradually rising. Korean beauty products have also won the love of Chinese consumers because of their fashionable design and good marketing strategy, and have caused a boom among female college students. The female college students of Wuhan Media College are a group of young and fashionable women, and they have become the ideal object of this study. The geographical location and economic development level of Wuhan as a city in central China are very good conditions for the development of Korean beauty products. This article aims to explore the phenomenon of female college students of Wuhan Media College pursuing Korean beauty brand 3ce, analyze consumer psychology, market positioning and marketing strategies, and understand the needs and behavior characteristics of female college students of Wuhan Media College for Korean beauty makeup through the collection and analysis of questionnaire survey data. The study found that the purchase of the Korean beauty brand 3ce by female college students of Wuhan Media College is mainly affected by social media marketing, product design and cost performance. The research results of this article have certain reference value for understanding the consumer psychology of young consumers and the following market trends.

Understanding Fashion Designers’ Behavior Using Generative AI for Early-Stage Concept Ideation and Revision

Understanding Fashion Designers’ Behavior Using Generative AI for Early-Stage Concept Ideation and Revision

Empowering Fashion Design and Intelligent Manufacturing with Digital Twins in the Metaverse Era

In the era of metaverse, digital twin technology is not only applied to traditional industrial and aerospace fields but also begins to empower fashion design and intelligent manufacturing, ushering in a new business model and a new era of value creation. This article discusses the application of digital twin technology in the fashion industry and the digital value it brings. In the fashion industry, digital twin technology is mainly applied in five areas: the design and development of fashion products, identity verification, tracking the entire lifecycle of fashion products, intelligent manufacturing of digital twin clothing factories, and immersive experience of fashion display. In addition, digital twin technology realizes the digital value added to clothing by connecting to NFT ecosystems, games, and other emerging fields. On the one hand, the value of physical clothing is enhanced by using physical products plus digital products; on the other hand, digital-twin clothing as independent digital assets opens up new markets and business models, providing new ways for brands to extend their influence into the virtual world. Digital twin technology has revolutionized the traditional mode of the fashion industry, created new business opportunities and value growth points for it, and will further promote the industry's digital transformation and intelligent development in the future.

NILAI OPTIMISME DI FILM ALI DAN RATU-RATU QUEENS

In the film "Ali and the Queens," optimism plays a role in shaping the narrative. This story explains the journey of a disabled person, who dreams of becoming a famous fashion designer. Despite facing many obstacles, Ali did not lose his faith and dreams. Optimism is reflected in the way Ali faces challenges. Even though many people around him doubted his abilities, Ali remained persistent and believed that he could achieve anything he wanted. This is a very positive message, that nothing is impossible if one has a strong determination in oneself. This research aims to contribute to an understanding of how cinematic elements can act as an effective tool in communicating messages of optimism in films. The research method applied is qualitative data analysis on scenes of optimism using a cinematic approach. The research data consists of carefully selected scenes from the film "Ali and Ratu-Ratu Queens". Meticulous shooting ensures that each scene can be captured well, allowing the audience to feel the emotions being conveyed. The research results show that the combination supports the message of optimism in the film. The audience can feel the spirit of Ali's character's struggle in facing life's obstacles because the atmosphere created cinematically provides strong support for the film's narrative. The implications of this research activity are: 1) resilience in facing challenges, 2) the environment for an optimistic attitude, 3) business as a source of inspiration and motivation, 4) the formation of identity and character.

Meningkatkan Hasil Belajar Siswa Melalui Penerapan Multimedia Pembelajaran Praktik Belahan Tutup Tarik di Kelas X SMK Negeri 8 Surabaya

The objectives of this study are (1) to find out the improvement of student learning outcomes through the application of multimedia, (2) to find out the response of students to the application of multimedia learning This research is a classroom action research. which will be carried out at SMKN 8 Surabaya in 2023/2024. The subject of this action is 33 students of class X Fashion Design 2. The data collection technique uses tests and questionnaires. The research instrument used cognitive test sheets and product assessments as well as questionnaire sheets. The data analysis technique used is quantitative descriptive. The results of the study show that: (1) Student learning outcomes through the application of multimedia practice of the pull-out closure have increased by 33%, increasing from the first cycle of 61% to 94% in the second cycle; (2) The students' response to multimedia learning received a percentage result of 81% which was categorized as very good.