Clothing Industry Research Articles

Combination of online hollow fiber liquid phase microextraction with smartphone-based sensing for in situ formaldehyde assay in fabric and wastewater samples.

A miniaturized analytical methodology was introduced based on the combination of a direct and online hollow fiber microextraction method with smartphone color detection. The method was used for the determination of formaldehyde (target analyte) in fabric and wastewater samples. In this regard, two reagents including ammonium acetate buffer and acetylacetone were added to the formaldehyde samples to create a colored compound. The colored compound was extracted from the sample by using the hollow fiber liquid-phase microextraction method, the extracted phase was not taken out of the extraction box and was directly transferred into a specially designed detection cell, and a smartphone was applied forin-situ color sensing and data readout. This combination gathered the advantages of both state-of-the-art microextraction techniques and smartphone sensing. Formaldehyde, as a carcinogenic compound widely used in paint and clothing industries, was selected as a model test. Factors affecting extraction efficiency were investigated and optimized, including the type of organic solvents, reagent concentration, salt, pH, stirring speed, reaction temperature, and extraction time. The linear region of the method under optimal conditions was 40-1500µg L-1 for wastewater samples and 0.3-11.2mg kg-1 for fabrics. The limit of detection and limit of qualification were 13 and 40µg L-1, respectively. The relative standard deviations for concentrations of 100 and 1000µg L-1 were 6% and 4%, respectively. To evaluate the application of the method for real samples, types of fabric and two samples of oil refinery wastewater were selected. The relative recovery in real samples was 84-98%. The results of the analytical parameters of the method show that the developed method can be used as an efficient method to determine formaldehyde in real samples.

Pengaruh Harga dan Keragaman Produk terhadap Minat Beli Konsumen Bloods Clothing Industries Concept Store Karawang

This study aims to analyze the influence of price and product diversity dimensions on consumer purchase intention at Bloods Clothing Industries Concept Store Karawang. In the rapidly evolving fashion business context, Bloods Clothing Industries faces the challenge of intensifying competition in the market. The main issue under investigation is how Bloods Clothing Industries navigates the dynamics of competition and creates a strong consumer purchase intention. This research employs a quantitative approach by collecting data from consumers who visited the store during a specific period. The collected data is subjected to statistical analysis techniques, and the structural model is tested using SmartPLS 4.0 software. The research findings reveal that factors such as price and product diversity significantly influence consumer purchase intention. Price-related aspects, including affordability, price-quality alignment, price competitiveness, and price-benefit correspondence, play a crucial role in shaping purchase intention. Additionally, product diversity in terms of materials and design also has a positive impact on consumer purchase intention. The implications of this study suggest that Bloods Clothing Industries concept store Karawang should consider marketing strategies that focus on competitive pricing dimensions and diverse products appealing to consumers. A better understanding of the factors influencing purchase intention can assist companies in making informed decisions to confront competition and enhance customer loyalty.

Determinants of Financial Performance for the Clothing Industry: A Romanian Approach

Determinants of Financial Performance for the Clothing Industry: A Romanian Approach

An Analysis of Business Strategy of A B2B Small Medium Enterprises in Tasikmalaya

Business competition in the textile and clothing industry is getting tighter. Many competitors cause companies in that field to experience a decrease in sales. This study intends to formulate a business strategy using the SWOT analysis tool so that companies know what must be maintained and improved in increasing sales to excel in business competition. This study uses a qualitative method with a case study approach. The findings from the study used the QSPM matrix analysis. There are 3 priorities for the formulation of a new strategy, namely a field research strategy, a strategy for evaluating and analysing market trends, and increasing digital marketing. The implications obtained by the company are increasing market demand, developing markets, and being able to compete with competitors.

Justification Strategic Priorities of Investment Development of the Republic of Armenia

The Republic of Armenia requires investments for economic growth and development, including foreign direct investment due to the small capacity of the domestic market. The investment strategy must be consistent with the national development strategy and must be the resource base of the national strategy in terms of realizing the values and interests of the country’s residents. The purpose of the study is to substantiate the strategic priorities of investment development of the Republic of Armenia and to identify priority development sectors that have competitive advantages and investment potential. The methodological basis of the research is the theory of strategy and methodology of strategizing by academician V. L. Kvint. According to the strategy methodology, an analysis of global investment and national trends was carried out, and successful international experience in attracting investments was studied. The experience of Israel is considered, which demonstrates a striking example of improving the investment attractiveness of the country thanks to an effective investment strategy. The strategic priorities of Israel’s investment strategy are highlighted, some of which need to be implemented in the practice of attracting investments in the Republic of Armenia. To substantiate strategic priorities and highlight highly competitive industries, regulations governing the attraction of foreign direct investment in Armenia, the economic state of Armenia were studied, and an OTWS analysis of investment activity was conducted. Based on the results of a comprehensive analysis, the authors propose two groups of strategic priorities: primary strategic priorities and auxiliary priorities that enhance the significance and effectiveness of the former. The study shows that strategic industries with competitive advantages and investment potential for Armenia are the chemical and metallurgical industries, textile and clothing industries, tourism, pharmaceuticals, and agro-industry. An effective investment strategy for the Republic of Armenia is the basis for the country’s further development.

Research on recycling barriers of biodegradable textile in the clothing industry and the future development

Biodegradable fibers have the advantage of sustainable development from the source. Realizing the sustainable development of the whole life cycle of clothing is the future trend. Nowadays, with increasingly high requirements for an ecological environment, the development of biodegradable fiber will become the mainstream of fiber research and development. However, there are many barriers preventing the total degradation of biodegradable fabrics. This paper explores recycling barriers of biodegradable textiles in the clothing industry, discusses the recycling barriers from four aspects: technical, economic, environmental and social, and analyzes the development direction of biodegradable fabric recycling in the future and puts forward some suggestions, including developing advanced biodegradable fabric recycling technologies; creating economic models conducive to recycling; providing suitable degradation sites; strengthening institutional cooperation and improving consumer recycling behavior. This paper is conducive to promoting the development and application of biodegradable textile in clothing industry, and proposes further research for the widespread and high-quality use of biodegradable fabrics.

From Haute Couture to Fast Fashion: The Fashion Industry and its Implications in the Realm of Law

Although it is frequently treated casually, the fashion industry is in fact an all-pervasive and ubiquitous industry. The clothing industry is a vast global enterprise that deals with designing, manufacturing, distributing, marketing, retailing, advertising, and promoting all types of apparel for men, women, and children. This includes everything from high-end designer fashion to everyday clothing like sweatpants. The industry is worth billions of dollars and encompasses everything from the most luxurious haute couture to casual wear. The industry has thrived on its own through all the glitz and glamour. However, the blatant yet complex issues and nuances that comprise the industry need to be addressed, and in order for them to be addressed, consumers need to take cognizance of not just the present issues, but the industry in its entirety as well. This research paper delves into the transformation of the fashion industry from the traditional form of haute couture to the emergence of fast fashion. The paper starts by making the reader conscious of the industry and its alarming effects on various aspects of our society. The paper then discusses the rise of fast fashion, characterized by rapid production, mass consumption, and affordability. These diverging paradigms have not only transformed consumer behavior but have also posed legal challenges to frameworks governing intellectual property, labor rights, and environmental sustainability.

Green branding in fast fashion: examining the impact of social sustainability claims on Chinese consumer behaviour and brand perception

PurposeThis study aims to investigate the ecological awareness of Chinese consumers towards fast fashion and examine the effect of social sustainability claims on green brand image and purchase intentions in China, considering China’s unique environmental policy landscape and its significant role in the global fast fashion industry. The study explores the role of altruistic values in promoting sustainability within the well-known fast fashion brand “H” and how they shape brand image, consumer satisfaction and brand equity.Design/methodology/approachThe study collected data from 257 Chinese participants and used a serial mediation model through the PROCESS macro in SPSS to analyse the correlation between green brand image, created through sustainability claims and consumer purchase intentions. The model also assessed the intermediary effects of brand image, satisfaction and equity.FindingsThe findings of the research indicate a direct and positive relationship between green brand image and consumer purchase intentions, emphasising the need for clothing and textile industry marketers to strategically promote altruistic values in their sustainability efforts and highlighting the importance of ecological awareness in shaping consumer behaviour in the Chinese context. This approach enhances green satisfaction and green brand equity and ultimately leads to higher green purchase intentions.Originality/valueThis study provides significant insights into the effectiveness of incorporating social sustainability claims in advertising to improve a brand’s green image and influence consumer behaviour. It emphasises the importance of altruistic values in sustainability strategies, offering valuable guidelines for marketers in enhancing green satisfaction and brand equity, thereby boosting consumer purchase intentions in the context of green branding and sustainability advertising. Focussing specifically on the Chinese market, this research sheds light on the impact of ecological awareness among Chinese consumers within the fast-fashion industry. Given China’s substantial role in shaping global fast-fashion production and its evolving environmental policies, this focus adds significant depth to our understanding of sustainability claims’ influence within this crucial consumer base.

Research Hotspot and Trend of Digital Clothing Based on Bibliometric Map

Objective: To explore the research status of digital technology in the field of clothing, analyze research hotspots and frontier trends, and provide ideas and references for subsequent research topics. Methods: CNKI database was used as the data source of Chinese literature, Web of Science core database as the data source of English literature, and CiteSpace 6.2.R5 visual tool software was used. This paper visually analyzes the research status of digital technology in the field of clothing from the aspects of cooperation between authors and institutions, keyword co-occurrence, keyword clustering and emergence analysis, and draws correlation maps for comparative study. Results: A total of 118 Chinese literatures and 1418 English literatures were included. The analysis shows that the total number of papers published by Chinese and foreign institutions is on the rise, but there are great differences in research hotspots. The data sources of Chinese literature are mainly digital technology, intelligent clothing, intelligent manufacturing, etc. The data sources of English literature are mainly reflected in the continuous research of social media, clothing industry and purchase intention. Conclusion: Researchers and institutions should grasp the hot spots and trends in the field of digital clothing, strengthen exchanges and cooperation between China and foreign countries, provide theoretical support and practical guidance for academia and industry, promote the effective integration of digital technology and clothing industry, and inject new vitality and innovation.

Exploring multisite musculoskeletal symptoms among sewing machine operators in a tunisian leather and footwear industry using decision tree models

Background/objectivesSewing machine operators (SMO) are the most likely workers to experience a high prevalence of musculoskeletal disorders in the textile, clothing, and footwear industries. We conducted a cross-sectional and exhaustive study among SMO working in the leather and footwear industry to describe the prevalence of multi-site musculoskeletal symptoms (MMS) and evaluate factors associated with their occurrence. MethodsMusculoskeletal symptoms declared by these operators were assessed through the modified Nordic questionnaire. The psychosocial work environment was assessed using the Karasek model. The variables associated with MMS were issued from binary logistic regression and decision tree using R software. ResultsOf 145 operators, 65.5 % of men and 72.4 % of women had MMS. Based on binary logistic regression, a history of musculoskeletal disorders (MSDs) increased the risk of developing MMS by 8 folds. The binary decision tree identified five main nodes: history of MSDs, professional seniority, often finding the pace of work restrictive and male gender. ConclusionIdentifying homogeneous profiles of MMS's occurrence will help the implementation of an effective and targeted preventive strategy.

Core 2.0 Nebulization Technique - A Sustainable Denim Finishing Approach

Sustainability has emerged as a key concept in the modern techniques of washing and treating denim. The clothing industry, specifically the denim washing sector, confronts substantial sustainability issues due to its impact on water pollution and the generation of large quantities of chemical waste. This research aims to investigate the long-term sustainability of the nebulization process in the context of denim finishing. The goal is to assess the dependability of the technology as a feasible option by demonstrating its effectiveness using environmental impact measuring software. The environmental impact assessment assesses the ecological consequences of clothing across four fundamental areas: water usage, chemical utilisation, energy consumption in the production process, and labour implications. The aforementioned methods proved to have low energy and water demands, resulting in less waste and pollution. This study evaluated several aspects of nebulization on denim and concluded that nebulization is a beneficial method for applying eco-friendly finishing.

Fashion Recommendation System and Virtual Trial Room

The fashion industry has recently witnessed massive growth in the clothing and textile industries. In e-commerce marketplaces, where there are many options accessible, relevant product material or information can be filtered, arranged, and efficiently communicated to users. As the standard of living increased, people's attention began to shift towards fashion, which is considered to be a common form of aesthetic expression. The development of the fashion business over time has been influenced by this human tendency. The abundance of clothing alternatives on e-commerce sites, however, has made it more difficult for customers to select the ideal outfit. In this article, we describe a personalised fashion recommender system that generates suggestions for the user based on input. In order to enhance the consumer shopping experience, we developed a software application that combines a recommender system with the OpenCV and TensorFlow technologies. This will enable customers to virtually try on clothing without having to wait in a large queue. The application uses OpenCV to map the clothes onto the customer’s body, the customer can then have a look at it and decide whether to buy the clothes or not. According to the results, there is no need to visit trial rooms because the mapping is done precisely onto the user's body. Thus, our app offers a quick, simple, and accurate method of trying on clothing, and we think that will help shape the retail sector.

A comparative study of Indian and Chinese textile and clothing exports in post-MFA environment

Purpose This paper aims to examine and compare the export performance and competitiveness of Indian and Chinese textile and clothing industry in post-multifibre arrangement (MFA) era. Design/methodology/approach Balassa’s revealed comparative advantage Index is used to assess the competitiveness of Indian and Chinese textile and clothing exports. Findings The results indicate that China’s textiles and garments sector holds a greater proportion of the global market compared with India. India has a robust comparative advantage in silk, carpets and cotton post-MFA. Vegetable textile fibers, paper yarn and woven fabrics of paper yarn are also competitive. China had a strong comparative advantage in silk and fabrics; special woven fabrics, tafted textile fabrics, lace, tapestries, trimmings and embroidery in 2005. China also recorded comparative advantage in silk, man-made filaments: strip and the like of man-made textile materials, fabrics; special woven fabrics, tafted textile fabrics, lace, tapestries, trimmings and embroidery and fabrics; knitted or crocheted in 2021. Research limitations/implications This study’s results and recommendations could assist the Indian and Chinese Governments develop policies to upgrade their garment industries. Originality/value Though vast literature reviews are available for textile and apparel export performance in India and China separately, there are few studies on comparisons. This study is a significant attempt to evaluate India and China’s competitiveness in the global market.

A Study on Problems and Prospects in Garment Industry in MP

India has one of the greatest apparel industries in the world. The door to India's incredibly innovative textile and apparel business is opened by this incredibly well-run sector, which includes garment makers, exporters, suppliers, stockists, and wholesalers. India's ready-to-wear line is incredibly well-liked worldwide. In India, the clothing and textile industries play a special and significant role. The industry, which was among the first in the nation to emerge, is responsible for 14% of the nation's industrial production, almost 30% of its exports, and the creation of jobs, second only to agriculture. Indian clothing has becoming more popular internationally due to its high quality, longevity, and attractiveness.

Textile aesthetics in mending

This article explores how designers in textiles and clothing can use their skills in materials and aesthetics to change perceptions of garments when they show signs of wear. Beyond prolonging clothing lifespan, garment repair can serve as a bottom-up approach to alter clothing culture through innovative creativity. With this article, I substantiate the discussion of mending as an alternative avenue that can echo another aesthetic within the realm of fashion. A growing body of research is occupied with how garment repair can create resilience in the textile and clothing industry by influencing the use phase. This has given rise to studies on garment design from a ‘repair thinking’ perspective, where mending is integrated into the design phase, prompting innovative approaches to garment construction, product types, and business models to rebalance the fashion industry. However, extending garment life through mending is complex, influenced by systemic and social factors, often overshadowed by the polished image of fashion. Within this scope, aesthetic and material expressions of mending are still to be researched. Designers possess skills in working with aesthetics, such as material qualities, visual expressions, textures, colours and patterns. This article explores how these skills illuminate the socio-material dimensions of garment mending. The research includes three encounters with mending which has resulted in a range of full-garment samples and insights into related material processes. The preliminary findings are visualized in a spectrum of mending concepts. Drawing from this overview of material expressions, the article discusses the role of designers in a world undergoing sustainable climate transformation. It presents three case examples showcasing how textile and clothing designers can employ their skills in materials and aesthetics. The article concludes by considering how future research could involve collaboration with companies to introduce mending concepts as part of a broader appreciation of material expression.

The Influence Of Altruism, Environmental Concern, And Social Influence On Purchase Intention for Eco-Friendly Clothing Products: Study of Generation Z in Greater Jakarta

Indonesia is responsible for the generation of approximately 2.3 million tonnes of textile waste, which accounts for approximately 12% of the total household waste produced in the country. The emergence of a multitude of eco-friendly clothing brands in Indonesia is indicative of the growing development of the eco-friendly fashion industry in the country. There have been expressions of concern pertaining to the variables that contribute to the inclination to acquire environmentally friendly textile products. The objective of this research is to assess the influence of altruism, social influence, and environmental concern on the purchasing intentions of Generation Z towards environmentally friendly clothing within the Greater Jakarta area. The methodology employed for data collection involved the distribution of a questionnaire to a sample of 188 Generation Z consumers residing in the Greater Jakarta area. Subsequently, the collected data was subjected to analysis utilizing the SPSS software and a multi-regression analysis technique. The findings of the study indicate that purchase intention is significantly influenced by altruism and environmental concern, whereas social influence does not have a significant impact. One potential consequence of this finding is the potential for the environmentally conscious clothing industry to advance through more effective marketing campaigns aimed at bolstering customer purchase intention. This study is able to provide practical insights for businesses, with a specific focus on the production of environmentally sustainable clothing items.

Network Meta-Analysis for Determining the Best Lean Tools Synergy to Improve Productivity by Reducing Rework in Garment Factories

The textile industry plays an important role in the global economy; however, it faces persistent challenges related to reducing rework for improving productivity. The purpose of this study is to summarize some scientific researches about production delay caused by rework in a clothing and accessory industry. It provides a general overview of the current state of knowledge concerning the interdependence between reduced productivity and rework rate. The research process is based on the Functional Analysis System Technique. It facilitates a systematic examination of sequential and logical steps necessary to achieve objective and attain outcomes. Functional Analysis System Techniques not only provides a structured methodology but also aids in identifying the successive functions crucial for attaining desired outcomes. The initial phase involves conducting a comprehensive systematic literature review focused on productivity issues stemming from rework within the textile industry. The first phase, related to the Seiri of the 5S methodology, involves conducting a comprehensive systematic literature review focused on productivity issues stemming from rework within the textile industry. Subsequently, the filling of a literature review synthesis matrix using Excel is conducted which represents Seiton. Next, focusing specifically on the Lean tools employed utilized and the corresponding productivity improvements, data are extracted. This corresponds to Seiso step. Following this, a Network Meta-Analysis is applied, representing the Seiketsu. Finally, the identification of the most effective Lean tools combination to reduce rework is undertaken, corresponding to Shitsuke. As results, the Ishikawa Diagram appears to have obtained the best ranking position according to the rankogram. Ishikawa Diagram is often associated with other tools to multiply its performance. The study's findings highlight that the Ishikawa, Pareto, Single-Minute Exchange of Die and Work Study combination emerges as the most effective approach for minimizing rework and enhancing productivity, as indicated by the League Table. This network meta-analysis provides a comprehensive overview of the Lean tools synergy effectiveness in rework reduction and productivity improvement strategies in textile industries. While powerful, Network Meta-Analysis has limitations including reliance on indirect comparisons from studies that may not directly compare all treatments, inheriting biases and complexities, which can pose challenges in assessing result certainty.

Clothing industry in transition from Industry 4.0 to Industry 5.0

Industry 5.0 has recently been introduced as a new concept. Reviewing the literature shows that Industry 5.0 brings three kinds of values: bringing humans back to industries, making businesses more resilient, and reducing environmental damage. Based on the critical capabilities of Industry 5.0, this study aims to determine how Industry 5.0 transforms the clothing industry’s value chain. For this purpose, after identifying the Industry 5.0 technological capabilities through semi-structured interviews and an electronic brainstorming session, a questionnaire was sent to experts to determine how these capabilities bring the values of Industry 5.0 to the clothing industry. After three rounds of the Delphi study, the results declared 33 technological capabilities that affect the clothing industry’s value chain. Additionally, among 14 indicators for human-centricity, resilience, and environmental sustainability, Industry 5.0 technological capabilities have the most significant effect on improving business resilience, cost-effectiveness, and economic development in the clothing industry.

Impact of research and development expenses on the profitability of assets: The case of textile and clothing industry in Portugal

The study aims to examine the financial efficiency of the textile and clothing industries in Portugal using official statistical data. The main objective is to assess the relationship between spending on research and development and return on assets. The study analyzes the performance of various subsectors of the textile and clothing industries, presenting the relationship between investments in research and development and the operating return on assets over various economic periods. The study adopted data envelopment analysis, classifying decision-making units based on average efficiency levels. The results highlight sectors of manufacture of textiles for technical and industrial use, manufacture of other textiles, production of outerwear, and manufacture of workwear as the most efficient. In contrast, sectors of manufacture of clothing and accessories, manufacture of knitwear, and leather clothing show lower levels of efficiency. From 2003 to 2022, the textile industry exhibited the highest levels of financial efficiency, with an above-average ratio between spending on research and development and return on assets. However, sectors of knitwear manufacturing and textile finishing have maintained a more or less constant level of financial efficiency. The analysis highlights the need for targeted interventions to increase the financial efficiency of different subsectors within the textile and clothing industries. It is evident that there are varying levels of financial efficiency across these sectors, and the need for benchmarking periods can help identify areas for improvement and set achievable goals. AcknowledgmentThis article is financed by Instituto Politécnico de Setúbal [Polytechnic Institute of Setúbal].

Literasi Digital Umkm Sebagai Strategi Bertahan Dalam Industri Fashion Clothing Di Kota Bandung

Digital literacy is basically the practice of communication, building relationships, thinking, and other activities related to digital media. Digital literacy is not only the technical ability to operate computers as digital equipment, but also the ability to adapt to activities mediated by digital technology, including in the fashion clothing industry. Based on the identification of problems, this research aims to explain the influence of the internet on the development of MSMEs and determine the weaknesses and strengths in the defense of MSMEs against the internet in Bandung City. The research method that will be used in this research is to use a descriptive analysis method with a quantitative approach. In this study the authors used the SWOT analysis analysis method which is used to analyze the strengths and weaknesses of an organization and recognize potential opportunities and threats. Based on the identification of internal and external factors, the strategy that can be carried out in developing the fashion clothing industry in Bandung City is the W-O (weakness-Opportunity) strategy, which is a strategy that utilizes opportunities, namely increasing learning about the digital world and making new innovations to the products produced so that they become differentiators from one clothing to another.