Changing Fashion Trends Research Articles

The mediating role of green perceived organizational support in the relationship between green transformational leadership and green self-efficacy

Purpose This study aims to reveal whether green perceived organizational support has a mediating role in the relationship between managers’ green transformational leadership and the green self-efficacy beliefs of employees. Design/methodology/approach The textile industry is a sector with fast and cheap production and is the second most damaging sector to the environment due to excessive consumption and rapidly changing fashion trends. Hence, textile industry employees were selected as the research object. The data were collected by survey method from 274 people working in businesses operating in the textile sector in Türkiye. The collected data were analyzed in the SmartPLS 4 analysis program. Findings The analysis found that managers’ green transformational leadership increases employees’ green self-efficacy beliefs. Likewise, it was determined that managers’ green transformational leadership increases employees’ green perceived organizational support. The analysis also indicated that employees’ green perceived organizational support increases employees’ green self-efficacy beliefs. Finally, as a result of the analysis, it was concluded that green perceived organizational support is a complementary partial mediator variable in the relationship between managers’ green transformational leadership and employees’ green self-efficacy beliefs. Originality/value The available literature has overlooked the mediating role of green perceived organizational support in the relationship between managers’ green transformational leadership and the green self-efficacy beliefs of employees. This work makes new contributions to the literature and practice by revealing the significance of managers’ green transformational leadership and green perceived organizational support in increasing employees’ green self-efficacy beliefs.

BRAND TRUST AND SERVICE QUALITY TO INCREASE CONSUMER SATISFACTION OF CIREBON BATIK

Batik MSMEs are thriving despite challenges like changing fashion trends and global market shifts. Their unwavering focus on product quality sets them apart. Through continuous improvement of production methods and careful selection of raw materials, they produce exceptional batik that distinguishes itself in the market. This study aims to examine the effect of product brand trust and service quality on customer satisfaction. Conducted in Ciayumajakuning, the research involved 230 respondents from batik MSMEs. Using a sample size of 230, the study employed 23 indicators, with each observation representing 10 respondents. Quantitative methods were used, with incidental sampling as the technique. Data analysis was done using Structural Equation Modeling- Partial Least Square (SEM-PLS). The findings revealed a direct correlation between customer brand trust and purchase satisfaction, as well as service quality and customer satisfaction. The perceived customer value plays a crucial role in mediating the impact of brand trust and service quality on customer satisfaction.

Exploring The Fusion of Innovative Design and Traditional Elements in Contemporary Chinese Fashion Trends

This study explored how young people's interest in their cultural heritage is fueling the return of traditional Chinese apparel to modern fashion. It looks into how historic components like Hanfu, Tang suits, qipao, and Zhongshan suits are influencing China's changing fashion trends. The study seeks to close the knowledge gap between traditional and modern clothing by highlighting the importance of traditional designs and their influence on fast fashion. The study also identifies obstacles, such as time restraints, and establishes boundaries to focus the investigation. The review of the literature provides insight into the complex relationships between traditional and modern aspects of Chinese fashion. It draws attention to the many facets of fashion, addressing technological, cultural, and environmental issues. Modern fashion is seeing a comeback of traditional Chinese aspects, with a focus on maintaining cultural heritage while adjusting to international trends. Potential solutions as well as issues with quick fashion, sustainability, and talent retention are covered. This study lays the foundation for a thorough investigation into how Westernisation and cultural components combine in the Chinese fashion industry. This study uses a deductive methodology to examine the influence of traditional fashion aspects on consumer behaviour by utilising pre-existing theories on these topics. The study takes a positivist stance, gathering and analysing data on Chinese fashion trends using both quantitative and qualitative methodologies. In order to protect participant welfare and academic integrity, it employs structured surveys, interviews, data analysis using SPSS software, and theme analysis for qualitative data. The present study employs a thematic statistical approach to examine the relationship between contemporary and traditional garment trends in China, as well as the impact of traditional Chinese designs on the fashion scene. These designs are shaped by a range of factors, including technology, sustainability, and cultural adaptation.

TREND THRIFTING SEBAGAI ALTERNATIF OUTFIT KULIAH MAHASISWA FAKULTAS ILMU SOSIAL UIN SUMATERA UTARA

Thrifting, or purchasing second-hand items, has become a popular cultural phenomenon in Indonesian society, particularly among budget-constrained students. This research employs a qualitative descriptive approach using in-depth interviews, observations, and literature studies to comprehend the impact and motivations of students adopting the thrifting lifestyle. The findings reveal that thrifting not only serves as an economic solution for students but also fosters unique and creative fashion styles. Additionally, this activity positively influences the environment by reducing waste and supporting charitable causes through the sale of second-hand items by non-profit organizations. Thrifting emerges as an alternative that allows students to stay up-to-date with fashion trends without compromising their budget balance. In conclusion, thrifting is more than a shopping activity; it is a lifestyle that reflects creativity, social responsibility, and the need to adapt to changing fashion trends.

Digital Transformation of Supply Chain Management in the Fast Fashion Industry: A Case Study of Zara

With continuous innovation and evolution in the clothing industry, fast fashion brands have gained significant popularity due to their ability to quickly respond to changing fashion trends, offer affordable and stylish clothing, and cater to the preferences of fashion-conscious consumers worldwide. This research analyzes the supply chain of the renowned fast fashion brand Zara, known for its unique supply chain management model. It is one of the most valuable apparel brands globally. The study explores the impact of supply chain management and digitalization on the entire fast fashion supply chain, encompassing upstream suppliers and manufacturers, middle-channel retailers and distributors, and consumers. Through a comprehensive examination of Zara’s success story, this study serves as an inspiring example for domestic apparel enterprises, showcasing the potential benefits that can arise from adopting a unique supply chain model, and offers valuable insights for Chinese apparel companies seeking to enhance their supply chain management and adapt to the digital era.

Market Fluctuations and the Crocs' Resurgence

This paper delves into the reasons for the decline in sales of Crocs and the reasons for its counterattack. The decline in sales of Crocs was mainly affected by changing fashion trends and consumer preferences, a lack of effective marketing and promotion strategies, and the proliferation of copycat shoes in the market. However, Crocs managed to fight back by focusing on providing a comfortable foot feel, shifting marketing strategies and leveraging the influence of social media, as well as the unique characteristics of Crocs. This reversal not only led to the economic recovery of the shoe industry and workshops but also regained the importance of Crocs in the field of culture and fashion. There are a few suggestions to pay attention to for the future prospects and sustainability of Crocs: First, pay close attention to changes in consumer trends and adjust product design and promotion strategies in time to adapt to changes in market demand. Secondly, pay attention to the safety of Crocs, continuously improve the comfort and quality of products, and ensure consumer satisfaction and trust. Finally, strengthen intellectual property protection, prevent infringement of counterfeit products, and maintain brand image and market share. By proactively addressing these critical issues, Crocs can secure its future growth and continue to succeed in the highly competitive footwear market.

An investigation into the clothing repair behaviour of fashion-sensitive consumers

ABSTRACT Pro-environmental practices are an essential component of consumer culture in this century. Consumers are endeavouring to be eco-friendlier than ever, yet extant research suggests that consumers who are sensitive to rapidly changing fashion trends are mostly unwilling to repair out-of-fashion clothes, and consequently, unsustainably dispose of their unwanted garments. The scarcity of empirical research on the mediating effects of fashion-sensitive consumers’ pro-environmental practices on their clothing repair behaviour is thus the fundamental motivation for this research. The primary research data in this study were collected using a cross-sectional online survey of 1013 adult consumers from four Anglosphere countries, including Australia, Canada, New Zealand, and the United States of America. A total of 515 female, and 498 male, fashion-sensitive consumers from these countries indicated that general pro-environmental practices have a positive effect on their clothing repair behaviour. Specifically, older male consumers with higher education levels are more likely to engage in clothing repair behaviour than are female consumers. Canadian consumers are the most likely, by country, to engage in clothing repair behaviour, based on the mediating effect of their pro-environmental practices. Conceptually, this research sheds light on the association between pro-environmental practices of fashion-sensitive consumers and their clothing repair behaviour. Pragmatically, the findings of this research provide insights for social marketers in developing effective clothing repair strategies for fashion-sensitive consumers.

Upscaling brand image: UNIQLO Japan

Research methodology The authors analyzed data and information mainly from the company’s annual reports and the books written by the CEO. Case overview/synopsis How and when can a “value” brand upscale its brand image? In the wake of the financial crisis of 2007–2008, UNIQLO – Japan’s street fashion brand – considered introducing a new brand collaboration. They needed to capture the attention of younger, more fashionable consumers. However, people were tightening their spending as they faced uncertainties related to their jobs and wealth. Even though UNIQLO had had a steady growth in sales for the previous 24 years, it was questionable whether it was strategically a good time to launch a premium brand collaboration. And if so, who was the right partner? High-end designer Jil Sander, fashionable New York-based Theory or emerging French “casual luxury” brand Comptoir des Cotonniers? Complexity academic level This case is about the challenges faced by a low-priced brand to collaborate with a high-end brand to enhance the brand image. It explores the important elements to take into consideration when evaluating launching collaboration using the high-end brand’s name. The students will learn how to examine the risks and benefits of creating a new image for the core brand. If the students had learnt branding or brand extension before, this case can be used to teach how consumer’s perception affects brand extension and the target market’s impact on pricing and distribution strategies. It can be used for a marketing course at the MBA level to explore the concepts in a growing company’s brand image or an undergraduate specialized course in brand management or marketing management. The students also learn how the fashion industry’s supply chain management works to adapt to rapidly changing fashion trends.

Multifunctional Modification with TiO2, SiO2, and Flame Retardant Agent on Upholstery Fabrics Produced From Recycled Cotton Fibers

Environmental pollution threatens the life of the world nowadays. Increasing the world population, rapidly changing fashion trends, and marketing activities have caused serious increases in textile production and consumption. As the size of the production volume increases, the effects of the textile industry on the ecosystem are increased as well. Recycling is critical in textiles to use less energy, water, and chemicals and to pollute our environment less. The aim of this study to develop functional and high value-added upholstery fabrics by recycling textile wastes. In the scope of this study, the effects of wastes obtained from different sources and different recycling fiber ratios on fabric properties were investigated. Furthermore, fabrics containing recycled cotton wastes blended with polyester fiber were also included. First, the abrasion resistance test was carried out on the fabrics produced from these waste fibers, and the fabrics with the best performance for upholstery fabrics were determined, and then flame retardant, water repellency, and soil release finishing processes were applied to these fabrics. It was concluded that the flame retardant, water, and stain repellent upholstery fabrics from recycled fibers were successfully developed. Also, fabrics containing 15% recycled cotton fabrics obtained better results among the fabrics.

Pyrolysis of Denim Jeans Waste: Pyrolytic Product Modification by the Addition of Sodium Carbonate.

Quickly changing fashion trends generate tremendous amounts of textile waste globally. The inhomogeneity and complicated nature of textile waste make its recycling challenging. Hence, it is urgent to develop a feasible method to extract value from textile waste. Pyrolysis is an effective waste-to-energy option to processing waste feedstocks having an inhomogeneous and complicated nature. Herein, pyrolysis of denim jeans waste (DJW; a textile waste surrogate) was performed in a continuous flow pyrolyser. The effects of adding sodium carbonate (Na2CO3; feedstock/Na2CO3 = 10, weight basis) to the DJW pyrolysis on the yield and composition of pyrolysates were explored. For the DJW pyrolysis, using Na2CO3 as an additive increased the yields of gas and solid phase pyrolysates and decreased the yield of liquid phase pyrolysate. The highest yield of the gas phase pyrolysate was 34.1 wt% at 800 °C in the presence of Na2CO3. The addition of Na2CO3 could increase the contents of combustible gases such as H2 and CO in the gas phase pyrolysate in comparison with the DJW pyrolysis without Na2CO3. The maximum yield of the liquid phase pyrolysate obtained with Na2CO3 was 62.5 wt% at 400 °C. The composition of the liquid phase pyrolysate indicated that the Na2CO3 additive decreased the contents of organic acids, which potentially improve its fuel property by reducing acid value. The results indicated that Na2CO3 can be a potential additive to pyrolysis to enhance energy recovery from DJW.

Artificial neural networks approach for prediction of CIELab values for yarn after dyeing and finishing process

In textile products, color plays an influential role in changing fashion trends. The main challenge in dyeing processes is the achievement of the desired color output (CIELab value) through various recipe matching algorithms and programs. A color matching approach in this context uses the type of dyestuff, the color of pre-treated fabric, and the owf% value of dyestuff as input sets, and the recipe for dyeing and CIELab values as outputs. The fiber, yarn, and finishing parameters that could influence dyeing processes, however, are excluded from these approaches (based on Kubelka-Munk theory). This study aims to develop a model that can predict the CIELab values (L*, a*, and b*) of dyed yarns after package dyeing. In order to predict CIELab values, artificial neural network-based prediction models have been developed using the properties of cotton fiber used in yarn production (HVI-AFIS etc.), yarn spinning, dyeing and finishing process parameters as input sets. A study has also been carried out on how input sets are to be related to the optimization of a prediction model. In order to account for the variability of the input sets, two different prediction models have been developed. Both models yield low prediction errors for three outputs: L*, a*, and b*. Based on the predictions by the models, the difference between the actual values and the predicted values is found to be within acceptable tolerances for L*, a* and b*, and a large part of the 498 predicted test data have an absolute error deviation of less than 0.5.

Quality assessment of fabrics obtained from waste

The need for ready-made clothing and home textiles produced from natural and synthetic fibres is increasing day by day in order to meet the needs of the increasing world population. Recently, the concepts of sustainability and recycling have gained importance in the textile industry. The rapid change in today's trends has developed disposable habits. Due to the rapidly changing fashion trends, the product variety has increased and mass production has been preferred. Therefore, the priority for customers to choose the products was not the material used, but whether they fit the current fashion trend. Thus, the use and production of natural fibres should be increased to reduce environmental pollution and meet production demand. Thanks to recycling, it is possible to reuse the waste textile materials that we leave to nature. Due to the increase in agricultural production costs, it has become difficult to obtain the raw materials used for textiles. When a life cycle system is created for raw materials that evaluate them until it is produced in nature and then return to nature, production with textile waste recycling can be advantageous. Using natural waste fibres instead of natural virgin fibres to produce home textile products both reduces costs and makes production easier. In this study, recycled (waste) cotton was obtained by shredding white, 100% cotton woven duvet covers and sheets purchased from a private hospital. A 50%-50% waste-natural blend was created from the cotton obtained. 54 wire reference fabrics were woven using open-end yarns numbered Ne24 and Ne12 produced from this blend. The physical characteristics of the fabric were investigated. The results obtained were analysed statistically and the effect of the blend created on the fabric quality was comprehensively examined.

Re-Visualizing Modest Fashion: Use of LED in changing Fashion Trends

Re-Visualizing Modest Fashion: Use of LED in changing Fashion Trends

Demand Forecasting for Multichannel Fashion Retailers by Integrating Clustering and Machine Learning Algorithms

In today’s rapidly changing and highly competitive industrial environment, a new and emerging business model—fast fashion—has started a revolution in the apparel industry. Due to the lack of historical data, constantly changing fashion trends, and product demand uncertainty, accurate demand forecasting is an important and challenging task in the fashion industry. This study integrates k-means clustering (KM), extreme learning machines (ELMs), and support vector regression (SVR) to construct cluster-based KM-ELM and KM-SVR models for demand forecasting in the fashion industry using empirical demand data of physical and virtual channels of a case company to examine the applicability of proposed forecasting models. The research results showed that both the KM-ELM and KM-SVR models are superior to the simple ELM and SVR models. They have higher prediction accuracy, indicating that the integration of clustering analysis can help improve predictions. In addition, the KM-ELM model produces satisfactory results when performing demand forecasting on retailers both with and without physical stores. Compared with other prediction models, it can be the most suitable demand forecasting method for the fashion industry.

Enriching the design reality on the dress form by using the Khayameya cloth to identify the students' attitude towards sustainable development

The interest in the intellectual heritage of the nation measures the extent of its contribution to human civilization, and its steadfastness in preserving the collective and historical memory of its peoples, and sustainable development is one of the most important modern trends in the development and progress of countries for what it aims for human, economic, social and environmental development.From this standpoint, the research seeks to achieve sustainable development in the field of design and shaping on the mannequin, which is represented in building the creative student "the junior designer" by Growth and development the technical and art work capabilities and skills of the students as they are the human capital of "fashion designers" who contribute effectively to raising production and meeting the current and future needs of the market. Research Queries:What is the possibility of creating designs from Khayameya cloth in the style of design and modelling on the dress form according to the aesthetics of the Khayameya cloth as an authentic heritage material? Did the Khayameya cloth and the way it was implemented on dress form helped build the creative "student", which would contribute to identifying a trend for female students towards sustainable development? What are the opinions of the specialists on the design proposals implemented from the Khayameya cloth, which would reformulate the traditional fabrics in an authentic artistic sense that combines originality and contemporary? What is the possibility of keeping pace with global developments and changing fashion trends by using the traditional Khayameya cloth with an economic outlook?Objectives: Disclosure of more expressive and aesthetic features and values in Khayameya cloth by presenting costumes executed in the style of design and modeling on the dress form with a traditional fabric. Developing the innovative skills in design and modeling on the dress form for students of the fourth year in the Department of Clothes and Weaving in Experimentation and Application. Directing students to transform what is being studied into a consumer product in the local and international market as a positive trend towards sustainable development. Supplying the market with highly skilled and capable fashion designers. Access to contemporary clothing design with a traditional touch at the lowest economic costs. Methodology: The descriptive and analytical approach was used with the application for its relevance to the nature of the research and achieving goals.Results:The results of the research proved that the students ’attitudes towards using the khayameya cloth for designing and shaping on the dress form gave many plastic capabilities and their percentage was (98.7%), which indicates that the dress form design method helped to develop innovative skills in fashion design in the style of dress form design, which It gives the students complete freedom in artistic aesthetic creativity, as they are drawn from an artistic vision by making use of the decorative units of the Khayameya cloth with a modern vision.There are no statistically significant differences between the students ’attitudes towards the use of tents, and that the students’ tendency towards the use of tents is appropriate, i.e. a high level of approval for the use of tents with a rate of (93.45%), which contributes to the creation of new plastic formulations. For traditional fashion, it keeps pace with contemporary fashion trends and is executed with a dress form design and pattern

Traditional versus fast fashion supply chains in the apparel industry: an agent-based simulation approach

In the past, most companies in the European apparel industry focused on minimizing manufacturing costs in the design of supply chains in conjunction with long-distance shipping from production sites in the Far East and relatively long production cycles. Today, for some market segments, the speed of production cycles is more important than the cost because short throughput time allows the flexibility to adjust to rapidly changing fashion trends in these market segments. Accordingly, choosing the most beneficial supply chain strategy has become an established research topic. However, apparel markets are complex systems. Therefore, attempts to reduce the underlying complexity in order to model these markets have limited existing research to the consideration of only selected aspects of markets (e.g., considering only homogeneous buyers, a single period, a single product, or a single manufacturer in the absence of competition) rather than taking a more comprehensive view. These limitations can be overcome by applying an agent-based simulation approach—an approach that can account for a wider range of factors, including several competing manufacturers utilizing different supply chain strategies, individual consumer preferences and behavior, word-of-mouth communication, normative social influence, and first-hand experience, as well as advertising. In this paper, the capability potential of such agent-based market simulation is demonstrated by investigating two supply chain strategies (fast fashion vs. traditional fashion) with varying product and communication strategies (product attributes and advertising) in several market scenarios.

Role of Electronic Media in Changing Fashion Trends among University Students: A Case of Bahauddin Zakariya University Multan

This study is an effort to check the role of electronic media on changing fashion trends as electronic media is getting very much in and used by youth. Within the past years, a greatest development has been witnessed. It focuses on how the students are using electronic media to change their preferences and how they influence from electronic media and adopt new fashion trends. Electronic media like, TV and internet influences has effect on the students of university, the objective of the study are to find out the use of electronic media as changing agent, the factors which influence fashion adoption among youth, and social factors that trigger the fashion adoption, the study were conducted among 176 university students using a survey research design, Data were collected by using questionnaires and the data were analysed using SPSS WIN 09, Both descriptive statistics and inferential statistics were applied in the study, The result of this study shows that electronic media have positive relationship with fashion trends that change the student preferences in their clothing sense through the process of advertisement.

Shifting of Batik Clothing Style as Response to Fashion Trends in Indonesia

Fashion style refers to the way of wearing certain categories of clothing related to the concept of taste that refers to a person’s preferences or tendencies towards a particular style. In Indonesia, clothing does not only function as a body covering but also as a person’s style. One way is to use traditional cloth is by wearing batik.Batik clothing, which initially took the form of non -sewn cloth, such as a long cloth, became a sewn cloth like a sarong that functions as a subordinate, evolved with the changing fashion trends prevailing in Indonesia. At the beginning of the development of batik in Indonesia, in the 18th century, batik as a women’s main clothing was limited to the form of kain panjang and sarong. However, in the following century, the use of batik clothing became increasingly diverse as material for dresses, tunics, and blouses.This research uses a historical approach in observing batik fashion by utilizing documentation of fashion magazines and women’s magazines in Indonesia. The change and diversity of batik clothing in Indonesian women’s clothing styles are influenced by changes and developments in the role of Indonesian women themselves, ranging from those that are only doing domestic activities, but also going to school, and working in the public. However, fashion trend factors are also a parameter of change in batik clothing, which result in adaptive and flexible batik clothing.

Fashion consumption during economic crisis: Emerging practices and feelings of consumers

ABSTRACT Economic crisis has a significant impact on consumption practices and the way consumers justify their consumption patterns. Particularly in the field of fashion, consumers face a conflict between desire to consume due to rapidly changing fashion trends and coping with the decrease in purchasing power due to the economic crisis. Semi-structured interviews were carried out to gain a deeper understanding of how the economic crisis affects consumers’ fashion consumption behavior and the alternative consumption practices that emerge. The research further sheds light on the underlying feelings involved due to changes in consumption patterns. Some of the themes that emerge—reuse, reduce, and reject—are in line with earlier findings on anti-consumption but this time the motives of the consumers are non-voluntary. The findings also contribute to anti-consumption literature by introducing three new themes: refind alternative channels, reconsider, and rely on discounts. The study further shows that there are both positive and negative feelings associated with changes in consumption behavior due to economic crisis. Along with understanding the adaptations in consumption behavior, anticipating these conflicting emotions resulting from crisis related anti-consumption is important for marketers and retailers who are concerned about developing appropriate responsive strategies.

Learning a shared shape space for multimodal garment design

Designing real and virtual garments is becoming extremely demanding with rapidly changing fashion trends and increasing need for synthesizing realisticly dressed digital humans for various applications. This necessitates creating simple and effective workflows to facilitate authoring sewing patterns customized to garment and target body shapes to achieve desired looks. Traditional workflow involves a trial-and-error procedure wherein a mannequin is draped to judge the resultant folds and the sewing pattern iteratively adjusted until the desired look is achieved. This requires time and experience. Instead, we present a data-driven approach wherein the user directly indicates desired fold patterns simply by sketching while our system estimates corresponding garment and body shape parameters at interactive rates. The recovered parameters can then be further edited and the updated draped garment previewed. Technically, we achieve this via a novel shared shape space that allows the user to seamlessly specify desired characteristics across multimodal input without requiring to run garment simulation at design time. We evaluate our approach qualitatively via a user study and quantitatively against test datasets, and demonstrate how our system can generate a rich quality of on-body garments targeted for a range of body shapes while achieving desired fold characteristics. Code and data are available at our project webpage.