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The article considers the approaches to assessing the financial security of enterprises presented in the literature, determines the rsistance of the textile industry of Uzbekistan to the negative impact of the coronavirus pandemic on the basis of statistical data, and reveals a significant differentiation of textile industry enterprises in terms of financial stability. Based on data on small enterprises in the textile industry of Uzbekistan, a method for assessing the financial security of an enterprise in the post-pandemic period is proposed and tested, taking into account the complex influence of non-financial parameters of economic security and assessing the deviations of the economic situation at a given enterprise from the patterns emerging in the relevant segment of the economy. In this research an econometric model was developed to determine the factors affecting the chemical industry and express their interrelationship, based on the conducted econometric analysis, the directions of development in our country were determined. According to the authors, it is necessary to continue these directions in order to ensure the economic security of industry enterprises in the country. © 2022 ACM.
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In this paper has been proposed a methodology for ensuring the financial security of enterprises in the context of recession caused by the COVID-19 pandemic. Based on pre-crisis data related to the new coronavirus infection pandemic and multi-component modeling of the dynamics of industrial production in the Republic of Uzbekistan during the "corona crisis,"this study seeks to identify the dynamics of growth by economic activity type and recovery rate in order to identify areas of state support for industrial production. In this paper has been investigated issues of financial security management of textile enterprises. On the basis of secondary statistics, the growth of textile production in the regions of the Republic of Uzbekistan in 2008-2020 was analyzed and the factors influencing it were identified. By the author have been presented the main tasks and conditions for the financial security of enterprises, as well as developed scientific and practical recommendations for eliminating factors affecting the financial security of textile enterprises. © 2022 Owner/Author.
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Medical textile is one of the technical textiles sectors, growing faster due to developments in polymer science and technology and innovation in forming new textile structures. In this review, current market trends for the growth of medical textiles for both pre and post covid pandemic periods were discussed. Focus is given to the classification of medical textiles and devices, specific requirements of fibers and widely used types of fibers, and advanced developments in this field, including nanofibers, bicomponent fibers, superabsorbent polymers, and conductive materials used in a wide range of advanced medical devices. Various fabric structures (woven/knitted/nonwoven/braided) have been in use in biomedical devices;however, recent 3D shaped structures such as spacer fabrics, and 3D-printed materials have profoundly marked their significance with its ability to adapt to specific needs of the medical community. Smart wearable sensor technologies for monitoring, diagnosis, and treatment are discussed and critically reviewed, enabling the readers to understand the complexity of the nature of interdisciplinary approaches required for developing such complex structures and systems. Antimicrobial agents (synthetic and natural/organic) used in the development of medical textiles mainly wound dressings, advances in antiadhesive textile coatings, and antimicrobial assessments of medical fabrics are critically reviewed. Finally, a case study on 3D printing of complex structures is presented to update modern developments using fine detail resolution (FDR), a selective laser sintering that uses carbon dioxide laser to produce delicate and complex 3D structures suitable for medical applications. It is anticipated that readers will benefit from this critical overview of trends in this sector and the multidisciplinary approaches needed to meet the demands of the ever-growing consumer base. © 2023 Elsevier Ltd. All rights reserved.
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Consumer clothing presents behaviors defined by pre-established trends and patterns in contemporary societies, and in general the consumption of textile products follows this trend. However, as a result of the COVID-19 pandemic and the restrictions perpetuated as a consequence of it, the consumption of textile products has been affected throughout the world. Under this premise, the objective of this research is to analyze the effect of store images, trust and perceived quality on the habits of the textile consumer in the context of the COVID-19 pandemic, for which, firstly, a review of the literature was carried out regarding the variables of the habits of the textile consumer and their relationship with the store image, trust and perceived quality, for which documents from academic search engines were taken into account, such as Scopus, Web of Science, ResearchGate and Google Scholar. On the other hand, a survey was conducted among textile consumers in Ecuador. The measurement tool was completed by 500 participants. In this way, the survey was conducted virtually through Google Forms and through the use of IBM SPSS software. The sampling technique consisted of convenience sampling. For the specific case of this investigation, it was decided to opt for the use of 500 valid questionnaires. This allowed one to propose a model of structural equations based on constructs associated with reference investigations. The main results of this research confirmed that there is a positive impact of the image of the trusted establishment on the product, as well as a positive impact on the general perceived quality of consumption habits (comparison) and on the effect of the quality of perceived service in consumption habits (planning).
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PurposeLocalism refers to a concept that encourages local production, consumption and promotion of goods. It is a movement to encourage consumers and businesses to purchase from locally owned, independent businesses that has grown rapidly in the past decade. However, localism remains understudied by researchers. This study aims to provide a more comprehensive understanding of the localism movement by capturing the dynamism of fashion localism in the context of the Sri Lankan fashion retail sector.Design/methodology/approachAdopting a qualitative exploratory approach, the authors conducted a series of in-depth interviews with 12 fashion practitioners.FindingsBased on the findings, the authors propose a conceptual model of fashion localism consisting of eight themes: fashion localism design approach, locally sourced staples, land ethic, employee development, community development, consumer, regulations and limitations and future opportunities.Originality/valueThis research sheds some light on localism literature by capturing the dynamism of fashion localism. In particular, to the best of the authors' knowledge, this research is the first study in marketing to propose a conceptual model of fashion localism. This research further points out certain managerial implications by illustrating a few practical approaches to the concept of localism within the Sri Lankan fashion retail sector.
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Background: The New Global Economy is represented by a series of major features, such as the use of green energy, the reduction of the carbon footprint in all industrial and civil fields, as well as finding alternative food resources. Our main objective was the research of a sustainable food product with a special nutritional purpose in the vision of nutrivigilance, developed in Romania, as an adjuvant in the repair of gastric mucosa. Methods: The materials used in the research and development of the new food are the following: inulin, lactoferrin, sericin, and sodium bicarbonate. The new adjuvant food product in the repair of the gastric mucosa was added to certain foods in order to prevent the patients from being satiated by a single food from a sensory point of view. The resulting food products were organoleptically and physico-chemically analyzed. Results: The new food is sustainable and has versatile uses. It can be hydrated with water, non-carbonated drinks, mixed with cottage cheese, or with fruit puree and oatmeal. It is stable under normal storage conditions and microbiologically safe. Conclusions: Through its versatile use, the new food product for special nutritional conditions represents a worldwide novelty. Through the development of forestry for the cultivation of white or black mulberry (Morus alba and Morus nigra), the raising of silkworms (Bombyx mori), the processing of fibroin to obtain natural silk and the processing of sericin resulting as a residue in the textile industry, the new food product developed actively contribute to the global economy II.
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The sudden outbreak of COVID-19 has created dramatic challenges for public health and textile export trade worldwide. Such abrupt changes are difficult to predict due to the inherently high complexity and nonlinearity, especially with limited data. This article proposes a novel modified discrete grey model with weakening buffer operators, called BODGM (1,1), for forecasting the impact of pandemic-induced uncertainty on the volatility of cotton exports in China under limited samples. First, the Mann-Kendall test examines how pandemic-induced uncertainty affects cotton exports, based on China's monthly cotton export data from June 2014 to August 2022. Second, buffer operators are employed to weaken the nonlinear trends and correct the tentative predictions of the discrete grey model. Then, the BODGM (1,1) model was validated by comparison with four alternative models. The results indicate that the BODGM (1,1) model was particularly promising for identifying mutational fluctuations in cotton exports and outperformed the GM (1,1), DGM (1,1), ARIMA and linear regression models in fitting and prediction accuracy under volatility and limited data. The BODGM (1,1) model forecast results for China showed that cotton export volume was expected to show signs of recovery over the next 12 months. The findings of this study may provide a basis for formulating trade policies to mitigate the impact of the COVID-19 outbreak on export resources and build their resilience to future pandemics.
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The outbreak of COVID-19 provided a warning sign for society worldwide: that is, we urgently need to explore effective strategies for combating unpredictable viral pandemics. Protective textiles such as surgery masks have played an important role in the mitigation of the COVID-19 pandemic, while revealing serious challenges in terms of supply, cross-infection risk, and environmental pollution. In this context, textiles with an antivirus functionality have attracted increasing attention, and many innovative proposals with exciting commercial possibilities have been reported over the past three years. In this review, we illustrate the progress of textile filtration for pandemics and summarize the recent development of antiviral textiles for personal protective purposes by cataloging them into three classes: metal-based, carbon-based, and polymer-based materials. We focused on the preparation routes of emerging antiviral textiles, providing a forward-looking perspective on their opportunities and challenges, to evaluate their efficacy, scale up their manufacturing processes, and expand their high-volume applications. Based on this review, we conclude that ideal antiviral textiles are characterized by a high filtration efficiency, reliable antiviral effect, long storage life, and recyclability. The expected manufacturing processes should be economically feasible, scalable, and quickly responsive.
Subject(s)
COVID-19 , Humans , Pandemics/prevention & control , Textiles , Masks , FiltrationABSTRACT
The selection of potential suppliers has recently become a big challenge for the manufacturing industries due to the rapid spread of covid-19 and the escalating frequency of natural calamities such as earthquakes and floods. When decision-makers (DMs) consider quantity discounts from multiple sources, things get much more complicated. Although previous studies have looked at selecting suitable suppliers from economic and environmental aspects, no one has considered foreign transportation risks while evaluating the textile industry's global green suppliers. In this regard, for the first time, this study combines economic and environmental factors with the foreign transportation risk criterion to develop a holistic model for global green supplier selection and order allocation (SS&OA) in the textile industry under all-unit quantity discounts. Initially, the fuzzy analytical hierarchy process (FAHP) method is used to calculate the relative weights of the criteria. Second, a multi-objective linear programming (MOLP) model is developed to reduce the total procurement cost, quality rejection rate, delivery lateness rate, greenhouse gas emissions from product procurement, and foreign transportation risks. Subsequently, the developed MOLP model is transformed into a fuzzy compromise programming (FCP) model to obtain order allocation quantities among selected suppliers with their offered quantity discount rates. A real-life case study of the Pakistani textile industry is presented to validate the proposed methodology's applicability by determining the optimal order allocation quantities among multiple suppliers based on two decision-making attitudes of DMs (neutral and risk-averse). Finally, sensitivity and comparative analyses are carried out to guarantee that the proposed technique produces accurate and optimal solutions. The final results of the proposed methodology show that it can effectively manage data uncertainties during SS&OA compared to other existing approaches. The suggested integrated methodology's outcomes can assist the supplier organization in overcoming its current shortcomings and developing a long-term relationship with the buyer organization. © 2023 Elsevier Ltd
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[...]there is apparel for sale that has a limited lifespan and is deemed disposable (Gözet, B., and Wilts, H., 2022). [...]the sector has faced challenges such as increased production costs, energy tariffs, pricing, a lack of raw materials, obsolete technology, and a lack of investment. The country is shifting from exporting raw materials to value-added products, with significant increases in exports of readymade garments, knitwear, bedwear, towels, and cotton textiles. [...]global input cost increases and currency rate changes have increased the export sector's working capital needs (Goheer, 2022).
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The COVID-19 pandemic resulted in severe supply disruptions and revenue losses, especially for buyers highly dependent on foreign suppliers. Unsurprisingly, scholars and industry experts claim that high dependence on any exchange partner is detrimental to buyers. The literature, however, is ambivalent about whether supply base concentration—the number of sources in a firm's supply base and the degree of importance of each source—benefits or harms buyers. Our study addresses this ambivalence by investigating whether supply base concentration, conceptualized as supplier concentration, supplier country concentration, and carrier concentration, worsens or mitigates the impact of supply disruptions as they unfold over time. We use longitudinal data from ocean bills of lading to examine these relationships in the context of U.S. buyers importing apparel during the COVID-19 pandemic. Our results show that higher pre-disruption supplier concentration and supplier country concentration helped buyers mitigate the impact of supply disruptions related to COVID-19, with diminishing effects once supplier and supplier country concentration exceeded specific inflection points. Conversely, higher pre-disruption carrier diversification helped buyers mitigate the impact of supply disruptions related to COVID-19. Notably, these effects depend on the specific phase of the supply disruption. We discuss implications for research and practice. © 2023 Wiley Periodicals LLC.
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Against the backdrop of the pandemic, the teaching of art and design courses is being perceived as a challenge for lecturers and instructors owing to a shift in the types of courses during the COVID-19 era as well as the pandemic's physiological impact on students. This article demonstrates the impact of applying a blended learning model on a teaching method focusing primarily on developing the students' style and authentic design sense. This study was applied to one of the major courses in the Department of Textile Printing, Dyeing and Finishing, Faculty of Applied Arts, Damietta University during the first semester of the academic year 2020–21. The study comprises a questionnaire to assess the effectiveness of the blended learning model in the printed hanging textile design course, acknowledging the impact of the lecturer's teaching strategies and understanding the individual style development process from students' perspectives. © 2022 Intellect Ltd.
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The present article reviews the effects of the textile in the wound healing process, as well as the availability of these products in the market. A brief description of applications is given based on the literature obtained from searching the scientific databases, besides the data obtained from secondary sources, like books and congress proceedings. The historical context of the textiles used in wounds, their general characteristics, particularities in the healing process, and incorporation of new technologies are discussed. It was evidenced that the textiles and associated technologies might influence directly or indirectly the stimulation of collagen, cell migration, angiogenesis, and reduction of pro-inflammatory factors and fibroblasts. However, the mechanisms by which the textiles act in the healing process are not well established in the literature. The interaction among textile engineering, biotechnology, medicine, and pharmacology is essential for the improvement and development of new products with better efficiency and accessibility.
Subject(s)
Textiles , Wound HealingABSTRACT
Health care-associated infection is acquired by patients while receiving care and represents the most frequent adverse event with a prevalence internationally ranging from 5.7% to 19.1%. Whilst the role of textiles as a fomite in infection has been questioned, the increasing body of evidence showing microbes persisting on textiles and increasing interest into developing antimicrobial textiles has been further driven by the Covid-19 pandemic. The aim of the experiments reported here was to determine whether the antiviral coating remained effective after laundering at national healthcare laundering standards. Secondly, we discuss whether the available testing regime for antiviral treatments on fabric is appropriate for judging the effectiveness of the treatment. There is still significant work that needs to be undertaken in standardising and ensuring the suitability of test methods within this area of technical textiles. Trials in the relevant workplace environment are essential as these may produce very different results to those undertaken as a proof of principle within a laboratory. © 2023 The Textile Institute.
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The year 2020 will be forever remembered in the textile industry for one overriding reason - the Covid-19 pandemic. Since March, industries across the entire textile supply chain have been rocked by factory closures, market declines, trade restrictions and the postponement of many of the trade shows that usually populate the textile calendar. WTiN's Innovate Textile & Apparel virtual trade show was first established to bring together a fragmented industry. The show opened its virtual doors to give an exhibition platform for companies from all areas of the supply chain to exhibit, showcase and even premiere some of the innovative products that had been in the pipeline for the cancelled trade shows. Dyeing and finishing was the most popular exhibitor sector at the trade show, illustrating the industry's adaptive nature, popularity and prominence in textile innovation. In total, 42 companies had selected the sector as their primary tag in the trade show portal, each of which promoted a collection of unique products and solutions. © 2020 World Textile Information Network. All rights reserved.
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With continuing climate change, consumers are reconsidering their fashion-consumption habits and clothing and apparel businesses are critically examining their industrial practices. The coronavirus pandemic can be considered a turning point as it has significantly affected the textile and fashion industry. By applying path-dependence theory to analyze developments in the textile and fashion industry in Finland, this study investigates prior pivotal moments to better understand how crises can provide possibilities for transformation. We first provide a historical review that aims to identify external shocks as major transitional events and examines their implications for short- and long-term trends. The study then analyzes the changes triggered by COVID-19 in the textile and fashion industry using empirical data collected from Finnish companies. The study reveals that the pandemic forced some firms to introduce several changes into their practices as part of efforts to survive, including innovations at all levels of design and manufacturing as well as new ways of managing sales and marketing. In addition, the crisis has been an opportunity to take steps toward societal and environmental transformation through more open and responsible business models involving a shift to local or close-by production to reduce environmental impact, to secure decent factory-working conditions, and to engage customers to reduce their consumption. The article concludes by considering issues relevant to the future of this industry during the post-pandemic period. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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This study is designed to explore the impacts of the COVID pandemic on the socio-economic status of textile workers and to suggest ways for balancing the turnover rate. For the study, a cross-sectional study design and mixed-method approach were employed. The researchers conducted a questionnaire survey of 357 textile workers using convenience sampling and, 5 KIIs, 20 IDIs, and 5 FGDs using purposive sampling. The study area was the Gazipur district of Bangladesh, a hub of the textile industry. Findings from Principle component analysis revealed that 54.38% of the total observed variation can be explained by five components. Working Environment (r = –0.699), Payment System (r = .987), Savings (r = .920), Employee Turnover Rate (r = .769), and Social Status (r = .558) of employees are identified by PCA as the most strongly correlated variables that have significant impacts on the socio-economic condition of textile workers due to Covid 19 pandemic. Finally, through Logistic Regression Analysis, the study has found that Safe Working Environment (OR = 0.203, 95% CI 0.098-0.419), Satisfactory Payment Structure (OR = 2.196, 95% CI 1.354-3.561), and Provident Fund Facilities (OR = 2.908, 95% CI 1.497-5.651) can reduce the turnover rate of textile workers. Additionally, effective labor unions and adequate training facilities can also balance the adverse socio-economic impacts on the textile workers. © 2023 DMICS.
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There is an ever-growing need in several industries to disinfect or sanitise products (i.e., to reduce or eliminate pathogenic microorganisms from their surfaces). Gaseous ozone has been widely applied for this purpose, particularly during the era of the COVID-19 pandemic. However, the large-scale deployment of this technology usually involves a manually-operated chamber, into which articles are loaded and subsequently unloaded after treatment—a batch process. Although the development of large-scale, automated and continuous ozonation equipment has hardly been reported in the literature, this has tremendous potential for industries seeking to decontaminate certain articles/products in a rapid and effective manner. In this paper, an overview of the design and implementation considerations for such an undertaking is evaluated. By presenting a case study for a developed automated system for clothing and personal protective equipment (PPE) disinfection, we provide key data regarding the automation procedure/design's considerations, risks, material compatibility, safety, sustainability and process economics. Our analysis shows that the transfer time for garments between successive chambers and the agility of the sliding doors are crucial to achieving the desired throughput. The automated system is capable of effectively treating (20 ppm ozone for 4 min) 20,000 garments within an 8-h shift, based on a transfer time of 2 min and a sliding door speed of 0.4 m/s. The flexibility of the system allows for variation in the concentration or exposure time, depending on the contamination level and the consequent decontamination efficiency desired. This flexibility significantly limits the degradation of the material during treatment. A return on investment of 47% is estimated for this novel system. © 2023 by the authors.