Clothing Company Research Articles

Towards a new supply chain manager dashboard under circular economy constraints: A case study on France textile and clothing industry

AbstractThis paper aims to propose a new dashboard in which we consider all indicators related to the sustainable supply chain (SSC) under circular economy (CE) constraints. As small and medium‐sized enterprises (SMEs) represent 99% of all businesses in the European Union (EU), this study mainly focuses on surveys of French textile and clothing SMEs. It aims to propose a practical and agile tool to help SC managers cope with sustainability challenges and assess the performance of CE implementation in the SC of the textile and clothing industries. To achieve this objective and to develop a relevant questionnaire enabling us to prepare and conduct surveys, we first identified 63 relevant indicators through an extensive exploratory study based on a leading group in luxury and fashion and a pioneer in corporate social responsibility (CSR). Second, we conducted a survey of 46 textile and clothing companies based in France. Finally, we proposed a new comprehensive SC manager dashboard under CE constraints. From the results, we found that there are several barriers to implementing the CE concept in the textile and clothing industry, such as a lack of sustainability performance, a lack of regulation, and a lack of mandatory responsibilities of SC actors. Hence, to cope with these barriers, the SC must be circular and sustainable by highlighting more circular practices such as recycling, eco‐design, compliance with regulations, reducing waste, minimizing greenhouse gas (GHG) emissions, energy, and water consumption. The results revealed that our new proposed dashboard highlights all these concepts that enable us to support textile and clothing SMEs to achieve high sustainable development goals. It can also be used as a decision‐making tool to help SMEs' managers, practitioners, and researchers make better sustainability decisions.

The Effect of Total Quality Management (TQM) on Operational Performance in Garment Companies in Sukabumi

TQM has emerged as an important management principle for improving operational performance in several sectors. The purpose of this research is to see how the influence of the TQM method on the operational performance of a clothing company in Sukabumi, Indonesia. Employee surveys were used to gather information, and multiple regression analysis was used to examine the relationship between TQM procedures and operational performance. Findings indicate that all elements of operational performance, including productivity, quality, cost, delivery, and flexibility, improve significantly through employee empowerment, continuous quality improvement, and fact-based management. The findings of this study have important implications for garment companies in Sukabumi and other similar industries in Indonesia.

Defect Analysis and Determination of Cutting Time in the Cutting Department in a Tunisian Clothing Company

Defect Analysis and Determination of Cutting Time in the Cutting Department in a Tunisian Clothing Company

Why Franchising is a Smart Business Tool?

In the world today establishing your own business is challenging since it entails significant risk, is tough, and costs a lot of money. Franchises, on the other hand, are more successful than starting your brand. A franchise carries less risk than a start-up company does. In the franchising business model, the owner of a business system (franchisor) grants permission to a person or a group (franchisee) to operate a business selling goods or services using the franchisor's system and brand name. Since most fast food chains and luxury clothing companies operate using this business model, they are quite well-known around the world and have locations in most nations and cities. This research paper gives an outline of Franchising, what it is, its advantages, its disadvantages, and growth. With this paper an individual would be able to decide if he should go for a startup or franchising business model

Modern Confections: Jews, New Women, and the Business of Fashion in Imperial Berlin

This article analyzes a series of visually arresting albums by the Jewish-owned Berlin department store and clothing manufacturer Kaufhaus N. Israel, published between 1899 and 1914. The company wooed and shocked bourgeois audiences by photographically illustrating the gender norm-defying activities of early twentieth-century “new women”—over a decade before the equivalent German term became commonplace. The N. Israel albums relied on readers’ extrapolation from their pages to the Israel company brand and the fashionable inventory of its store. The article demonstrates how an innovative device to craft the image of a Jewish clothing company also incorporated tacit ideas about Jewishness. Along the way, these visions traveled through the prism of female figures, establishing connections between Jewishness, fashionability, and modernity—the “fashionable” Jewish feminist, a reformer of Imperial German society, and the “fashionable” “Oriental” Jew, a style icon and imitable “cross-dresser.” The article examines the albums’ visual and verbal components as part of a larger design, isolating the voice of the department store. The Israels used their albums, the article argues, to style their store as a “women’s paradise,” simultaneously, however, confecting their own public identities as liberal allies of the feminist cause and creators of modern German culture.

Business Strategy for Clothing Brand in Indonesia

The growth of the fashion industry was able to contribute about 18.01%, or IDR 116 trillion. The fashion industry’s revenue is anticipated to reach $9.30 billion in 2022, according to recent data. By taking advantage of this chance, Good News is a Christian and Catholic spiritual clothing company. In Indonesia, Good News aims a market of 28.88 million Christians and Catholics. with 1,401,771 potential customers in Jakarta, where Good News is based. Three products were eventually released by Good News, but sales haven’t yet surpassed expectations. Additionally, based on the market potential previously mentioned, Good News sales are unable to reach the 1,401,771-person potential market in Jakarta as a whole. Qualitative research techniques are used in this study. Owners of Good News businesses are interviewed for internal data sources. External sources can be found by reviewing published sources of information for pertinent political, governmental, legal, technological, and competitive trends and events. Before analyzing Good News’s strengths, weaknesses, opportunities, and threats, the author first collects external business factors. The data is then converted into an IFE and EFE matrix, which can be used to determine rankings and weights. A matching IE matrix is created after the data analysis. Good News The total weighted scores for the IFE matrix and EFE matrix are 2.54 and 2.86, respectively. The Hold and Maintain strategy fits the Good News based on the IE Matrix. Good News can change its strategy by working on product development and market penetration. Additionally, starting in January 2023, the author developed an implementation plan, timeline, and budget plan to track strategies to keep the business on course.

Social Responsibility in Environmental Protection of Clothing Brands in China: A Case Study of ANTA

Corporate social responsibility was proposed by Bowen in 1953, but Chinese companies began to attach importance to it in the 21st century. China is a big exporter of clothing and textiles in the world, but there is little research on the social responsibility of Chinese clothing companies. Environmental problems have always been hot and arduous. The process of clothing production will cause a lot of negative impacts on the environment, so environmental protection is an important social responsibility of textile and clothing enterprises. Through the case study of Anta Group, this study discusses how Chinese clothing companies can enhance their sense of social responsibility and become environment-friendly companies. The significance and specific feasible methods of the clothing companies to carry out green activities are mentioned in this paper. This study provides some ideas for other companies on how to fulfill their social responsibilities through a successful case of a large company. We hope that through case analysis, more enterprises will pay attention to environmental responsibility and more research will focus on corporate social responsibility in China.

Cash Flow Analysis of Clothing Company—Take Shengye Clothing Company as an Example

Cash Flow Analysis of Clothing Company—Take Shengye Clothing Company as an Example

AI-powered Digital Transformation: Tools, Benefits and Challenges for Marketers – Case Study of LPP

The article aims to show the role (benefits and challenges) of AI-powered digital marketing tools for marketers in the age of digital transformation. The considerations were related to the Polish market and a case study of LPP, a Polish clothing retailer. The starting point for this study was the analysis of the literature on the concept of artificial intelligence (AI) with reference to digital marketing. In the next steps, the results of the research on the Polish market conducted by the Digital Poland Foundation and presented in the report entitled “State of Polish AI 2021” were reviewed, and an application case study of the largest Polish clothing company – LPP – was conducted. The study is of an introductory and exploratory nature. It recognises the significant role of AI in digital transformation in the context of digital marketing in the Polish market. The implementation of solutions based on artificial intelligence algorithms, such as the Google Cloud, analytical platform and data repository, e-commerce infrastructure, chatbot, Genesys PureCloud, Google Dialogflow and the AI-based function in the PSIwms Warehouse Management System in LPP's distribution centre significantly improves the efficiency of online order processing without compromising the quality of products and order fulfilment time. By applying a case study analysis, the importance of AI-based tools in the digital transformation process, including digital marketing, in the Polish market was demonstrated. Marketers, including CMOs, were shown the benefits of applying AI-related technological solutions in the field of e-commerce optimisation and customer service.

A System for Filling Store Displays: Pitting a Single Model against a Set of Demand Forecasting Models

The aim of the paper was to develop the concept of retail display space allocation as a system and to assess the quality of very slow-moving products demand forecasting models (that have not yet been used by retail companies in Poland) as its key subsystem. Forecasts were made using the example of a clothing company. The quality of these models was assessed using the Weighted Mean Absolute Percentage Error. The first step was to build the individual models. Later, the authors built separate models for brick-and-mortar and online stores as well as brands, creating a set of six models. The findings show that the classification approach for very slow movers provides as precise results as the regression approach. No single model or set of models (built with a particular machine learning method) could be identified that made the best demand forecasts for brick-and-mortar stores, as statistical tests generally did not confirm the significance of the differences between the median forecasts.

Modern technologies in shaping strategy in the clothing industry – a case study of the 4F brand

Purpose: The purpose of the paper is to review modern technologies present in building the strategy of contemporary clothing companies and to conduct a case study of the 4F brand (one of the leaders in the use of modern technologies in shaping the product offer in the clothing industry in the Polish market), to present the application of the use of these technologies in the Polish market. Design/methodology/approach: The paper conducts a case study of the 4F brand from the point of view of the use of innovative technologies in improving strategies for meeting the needs of buyers of clothing products. It was preceded by a literature review on the occurrence of these technologies in the surrounding market reality and their development prospects. Findings: Innovative technologies are a constant element in building the strategy of the 4F clothing brand. With them, the brand develops such parameters of its offerings as antibacterial, hypoallergenic or adequate moisture wicking. It also uses technologies to present new product lines: 3D and augmented reality (AR). It allows it to optimise the entire sales process and reduce the number of returns. It is part of the company’s strategy to shift to circular sales models in line with sustainable development. Research limitations: The diversity of possible solutions from modern technologies, resulting from their nature and unique specificity, makes it difficult to generalise the results obtained. Each successive example of the use of modern technologies is outstanding in its way, does not lend itself to standardisation and requires individual analysis. Practical implications: The results of the study indicate that the business operations of apparel companies are becoming more technologically advanced, which will require increasing investment on their part in IT infrastructure and the implementation of new technological solutions. Social implications: Modern technology is being used in the fashion industry to build relationships with stakeholders through increasingly modern marketing communication tools, forcing expenditures in this area as well. The tools for building these relationships are derived from the instruments used by stakeholders in their personal lives (e.g., social media), and the two areas will intersect and complement each other. Originality/value: The originality of our study is to comprehensively present the current use of modern technologies in the apparel industry, to isolate the most popular tools used by entities in this industry on the Polish market and to diagnose the attitude of the audience towards them, as well as to determine the development directions of this trend. Keywords: modern technologies, clothing industry, sustainable development, 3D and augmented reality (AR), 4F brand. Category of the paper: case study.

Quality of service and digital engagement on Facebook pages

Small and medium-sized enterprises (SMEs) are recognizing the importance of social networks as loyalty strategies, engaging customers, and reinforcing their commercial brand. Based on the concepts of quality, the study examines the elements of the SERVQUAL model: tangibles, reliability, responsiveness, security and empathy. Goals: This research analyzes how small and medium-sized women's clothing companies (SMEs) strategically use Facebook to engage customers and disseminate the quality of their services.Metodology: Information was obtained from 104 women's clothing SMEs from the cities of Colima and Villa de Álvarez, in Mexico. Regarding the method of multinominal logistic regression analysis. Contributios: The suggest that the quality of the service is positively influenced by the publication of visual content (specifically, photographs) and by the publication during the weekends. The publication frequency did not have a statistically significant effect on the quality of the service. The study also shows that the majority of SMEs in this market segment do not use Facebook with a social media strategy. Only 25% of the SMEs in the sample used Facebook with a digital marketing strategy.

Design & implementation of the production line in garment industry

The traditional strategy in garment businesses is confronting a considerable measure of issues, for example, longer Production lead time, high work, supply sought after, high texture waste, longer production time and ailing in the utilization of assets. ABC clothing company is experiencing the previously mentioned issues. Enhancing efficiency through quantitative research strategies and distinctive lean assembling devices, for example, the institutionalization of the work process, line adjusting, and 5S were utilized to distinguish the issues and to address the arrangements. By understanding the real issue, the use of these lean assembling devices and their advantages were inspected. Earlier it was around 210 items for each day once in the day of actualizing the lean tools it was around 280 every day. The efficiency has increased by 25%. In like manner, the adjusting balancing loss was decreased by 35%. The implication of this investigation can give the entire practical answer to the usage of lean tools, minimization of waste and viable use of the asset in a piece of the garment industry for enhancing efficiency.

Online Promotional Communication Attributes and Company Competitiveness of a Malaysian Fast Fashion Clothing Company

The purpose of this research is to study the impact of online promotional communication attributes on the company's competitiveness in a Malaysian fast fashion clothing context, where the independent variables comprised online interactive communic

Report of Visualized Analysis on the Reprisk data of Patagonia INC. and Columbia Sportswear Co

Reprisk is an ESG research provider to leverage advanced machine learning together with highly trained analysts. Reprisk data shows the amount of ESG related-risks of the company. The report analyzes the Reprisk data of two clothing companies (Patagonia INC. and Columbia Sportswear Co) to see their performance on ESG and analyze the relationship between ESG performance and the revenue of both companies. As a result, Columbia Sportswear Co’s risks related to ESG kept decreasing during the past five years, and the revenue also shows an increasing trend. The increased emphasis on ESG has not affected the increase in profits of Columbia Sportswear Co over the years. In comparison, the current RepRisk Index floated higher when Patagonia had poor sales. This result may be proof that the investment in ESG and the profit are positively correlated. This result can advocate sustainable development for the company, as the investment in ESG will not hurt profits.

‘Brand, community, lifestyle’: Fashioning an authentic, body positive influencer brand on Instagram

Fashion influencers on Instagram create intimate and ‘authentic’ content to develop a branded persona, which they can use to build follower relationships and monetize their account through brand partnerships. However, some influencers are leveraging their online status and relationships to form their own fashion brands. This research examines three case studies of influencer-founded fashion brands: Day/Won, a size-inclusive athletic clothing company founded by model Candice Huffine; Premme, a plus-size clothing brand founded by fashion influencers Gabi Gregg and Nicolette Mason; and Megababe, a body positive beauty brand founded by fashion influencer Katie Sturino, to examine how they communicate with followers and reference body positive discourses to represent themselves as ‘authentic’ and inclusive brands. Over 500 Instagram posts from these influencers’ personal and brand accounts were captured and manually coded and analysed using constructivist grounded theory for practices that the accounts used to establish authentic communication with followers. The findings suggest that influencer and brand accounts align their use of engagement, embodiment and expression strategies in order to develop and convey an authentically body positive identity.

Analysis of Clothing Image Classification Models: A Comparison Study between Traditional Machine Learning and Deep Learning Models

AbstractClothing image in the e-commerce industry plays an important role in providing customers with information. This paper divides clothing images into two groups: pure clothing images and dressed clothing images. Targeting small and medium-sized clothing companies or merchants, it compares traditional machine learning and deep learning models to determine suitable models for each group. For pure clothing images, the HOG+SVM algorithm with the Gaussian kernel function obtains the highest classification accuracy of 91.32% as compared to the Small VGG network. For dressed clothing images, the CNN model obtains a higher accuracy than the HOG+SVM algorithm, with the highest accuracy rate of 69.78% for the Small VGG network. Therefore, for end-users with only ordinary computing processors, it is recommended to apply the traditional machine learning algorithm HOG+SVM to classify pure clothing images. The classification of dressed clothing images is performed using a more efficient and less computationally intensive lightweight model, such as the Small VGG network.

KONFEKSİYON ÜRETİMİNDE İŞGÜCÜ VERİMLİLİK ANALİZİNİN PANTOLON DİKİM HATTINDA UYGULANMASI

In order not to lose their market share in global markets where borders have disappeared, to gain competitive advantage, and to increase their profitability, businesses have increased their work on efficiency values to use their scarce resources effectively. Considering that global economies, of which importance is frequently mentioned today, are composed of national economies, and national economies are constituted by the economies of enterprises operating in that nation, it becomes evident how important they are. Improving the economies of businesses operating in countries is possible by minimizing unnecessary activities in production activities with various efficiency studies and reducing production-related costs. In this study, the workforce efficiency in a clothing company manufacturing trousers was analyzed. In this context, data was collected from the sewing line of a garment company operating on trouser production in Izmir, and the data obtained was evaluated with the labor productivity model with rates from Kurosawa's productivity models. As a result of this research, it has been determined that the losses expected to be eliminated entirely after getting used to the production of the relevant product are still visible and even more than they should be.

The Construction of an Evaluation System of Corporate Social Responsibility to Employees: An Empirical Study in the Chinese Clothing Industry

Recently, with the intensification of employee suicides in well-known international companies such as Facebook and Pinduoduo, people are paying more and more attention to the violation of employee rights and interests. As an important embodiment of safeguarding the legitimate rights and interests of employees, the corporate social responsibility to employees has become one of the focuses of academic discussions. The aim of this article is to build a corporate social responsibility evaluation system for employees for Chinese clothing companies. As a representative of labor-intensive enterprises, enterprises in the cloth industry often need to rely on the strength of their employees to create value more than ordinary enterprises. Therefore, it is of practical significance to study the corporate social responsibility of employees in the cloth industry. In addition, China is an important exporting country of clothing in the world, and its market environment is different from that of developed countries. Research with Chinese enterprises as samples may lead to different conclusions. Finally, unlike general CSR, the evaluation of employee CSR needs to consider the importance of subjective and objective factors. At this time, the use of the catastrophe progression method can more accurately evaluate the weight of each factor. The result of our research on 100 Chinese clothing companies shows that enterprises with higher rankings in clothing industry will fulfill social responsibility to employees better. The use of the catastrophe progression method to evaluate corporate social responsibility to employees can reduce errors caused by subjective steps such as assigning weights in Analytic Hierarchy Process (AHP) and improve the accuracy of evaluation.

Optimizing the Material-Product Transformation Processes in the Clothing Manufacturing Line

In current economic conditions, one of the major problems in the textile and apparel industry is unable to determine the unnecessary movements of resources (operators, machines, materials). Especially during the production processes, to adjust and decrease the movements of the resources are more difficult, because the focus is mostly on the workers and materials. “Method Study” has developed for resolving these challenges. The string diagram which is one of the techniques of the method study, helps to provide minimum movements of the resources during manufacturing activities. In this study, the production activities of a clothing company were examined with the help of the string diagram to achieve the objectives of eliminating unnecessary movements of the resources, increasing the working speed, providing better working conditions, balancing the production lines. So in the study, the current status of the production system and the parts to be improved were determined. In this direction, the string diagram and line balancing methods were applied for improvements and generation of a new layout plan. As a result of the research, the journal distance of the pieces before sewing together for obtaining the end product was shortened by 39% and the number of operators working in the line was reduced from 32 to 26.