Issue 3 / 2025

Inner covers

Article: A study on the impact of digital transformation on innovation in textile and apparel companies: evidence from the Chinese market

Authors: LI XUE, XUE BAISHAN, REN XIANGFANG, SHEN LEI
Pages: 307–315
DOI: 10.35530/IT.076.03.202440
Published online: June 2025

Abstract
This study analyses data from 2010 to 2022 concerning companies listed on the Chinese A-share market to evaluate the extent of digital transformation within textile and apparel companies. Utilising the entropy method and the TOPSIS technique, the research assesses the impact of digital transformation on investment in innovation, including research and experimental development. Empirical findings indicate that digital transformation in these companies correlates with an increase in innovation investment. A more effectively marketised environment enhances the positive effects of digital transformation on innovation in traditional companies. Heterogeneous studies demonstrate that firms in Eastern China and high-tech companies exhibit more significant positive impacts from digital transformation on innovation.
Keywords: textile, apparel, company, digital, innovation

Citation: Xue, L., Baishan, X., en Xiangfang1, Shen Lei, A study on the impact of digital transformation on innovation in textile and apparel companies: evidence from the Chinese market, In: Industria Textila, 2025, 76, 3, 307–315,  http://doi.org/10.35530/IT.076.03.202440

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Article: Application research of a device with an anti-fall warning function on infant clothing

Authors: ZHANG YAN, YU MIAO
Pages 316–325 
DOI: 10.35530/IT.076.03.2024130
Published online: June 2025

Abstract
The safety issues caused by falls during the growth process of infants and young children aged 0–3 have always been a concern. Currently, young parents need to take good care of their infants’ and young children’s daily lives while facing heavy work. While balancing life and work, anxiety is inevitable. This project mainly focuses on the safety of infants and young children and conducts online research on the feasibility of applying anti-fall warning devices to infant clothing. SPSS software is used to analyse the reliability, validity, and correlation of the collected data, and the necessity of using devices with anti-fall warning functions on infant clothing is concluded. We have developed and conducted relevant experimental data analysis on the function of anti-fall warning equipment. When the infant’s body exceeds the set tilt angle, the warning equipment will emit a buzzing sound to remind the caregiver to understand the infant’s activity status at first, reduce the risk of the infant falling, and alleviate the pressure on the caregiver. At the same time, the overall design of infant clothing, the design of anti-fall parts, and the placement of anti-fall warning devices on infant clothing were conceptualized, and corresponding finished products were produced. At the end of the project, an evaluation and assessment of the application of anti-fall warning devices in infant clothing was conducted to verify their market and functional feasibility, and to provide prospects for future research.
Keywords: anti-fall warning equipment, evaluation and assessment, functional design, infant and toddler clothing, research and analysis

Citation: Yan, Z., Miao, Y., Application research of a device with an anti-fall warning function on infant clothing, In: Industria Textila, 2025, 76, 3, 316–325,  http://doi.org/10.35530/IT.076.03.2024130

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Article: The danger of wearing low-quality clothes. Part 1: Physicochemical characterisation

Authors: MADALINA IGNAT, CIPRIAN CHELARU, ROXANA CONSTANTINESCU, ELENA PERDUM, GEORGE-OVIDIU IORDACHE, RAZVAN RADULESCU, CARMEN MIHAI, ION DURBACA, NICOLETA SPOREA
Pages 326–333 
DOI: 10.35530/IT.076.03.2023111
Published online: June 2025

Abstract
Clothing has always played a vital role in people’s lives, indicating social and moral status and the state of health. In a world where, for some, the appearance of a clothing product plays a much more important role than the quality of the product itself, it is necessary to know that although an item is fashionable and affordable, it may pose a real danger to health. Therefore, the main purpose of this article is to analyse, from a chemical point of view (phthalates and formaldehyde determination, FTIR measurements), the materials from which various clothing items are made and their behaviour under certain conditions (accelerated UV and visible light exposure), to highlight the danger of purchasing low-quality products. The obtained results showed that although the samples are inexpensive and look nice, they contain compounds dangerous for human health, such as phthalates and formaldehyde, which are present in materials that should not come into contact with skin and stained the material support after intensive light exposure.
Keywords: clothes, phthalates, formaldehyde, FTIR measurements, UV exposure

Citation: Ignat, M., Chelaru, C., Constantinescu, R., Perdum, E., Iordache, G.-O., Radulescu, R., Mihai, C., Durbaca, I., Sporea, N., The danger of wearing low-quality clothes. Part 1: Physicochemical characterisation, In: Industria Textila, 2025, 76, 3, 326–333,  http://doi.org/10.35530/IT.076.03.2023111


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Article: “Zero waste” – current and essential concept in the fashion industry

Authors: ELENA FLOREA-BURDUJA, LILIANA INDRIE, ALIONA RARU, MARCELA IROVAN, VALENTINA FRUNZE, AMALIA STURZA
Pages 334–341 
DOI: 10.35530/IT.076.03.2024132
Published online: June 2025

Abstract
This article analyses the concept of “Zero Waste” in the fashion industry and highlights its current character and the need for its implementation. The aim of the paper is to examine the various strategies and benefits associated with adopting zero waste practices in the fashion sector in order to minimize the negative impact on the environment. The idea’s relevance is driven by growing global concerns about pollution and climate change, with the fashion industry considered one of the most polluting industries in the world. The main aim of the paper is to highlight the importance of adopting sustainable and innovative practices that will significantly reduce textile waste and promote a circular economy in this sector. The aim of the study process is to identify and analyse effective methods for implementing zero waste principles and to highlight the role of consumer education in maintaining these practices. As part of the research, concrete examples of designers and collections are presented that have successfully adopted these principles and demonstrate their feasibility as well as economic and ecological advantages. The information obtained as a result of the study process highlights the need for close collaboration between all stakeholders in the fashion industry to transform the way clothing is produced and consumed. The practical applications carried out by the authors demonstrate the possibility of obtaining models of current garments by applying modern design techniques using CLO 3D software. It highlights the fact that by applying innovative design and production practices, the fashion industry can become a model of sustainability, contributing to a more ecological and responsible future.
Keywords: zero waste design, sustainability, sustainable processes in fashion, 3D prototyping, CLO 3D

Citation: Florea-Burduja, E., Indrie, L., Raru, A., Irovan, M., Frunze, V., Sturza, A., “Zero waste” – current and essential concept in the fashion industry, In: Industria Textila, 2025, 76, 3, 334–341,  http://doi.org/10.35530/IT.076.03.2024132

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Article: Financial awareness and financial planning among higher education faculty and their specific impact on the financial literacy of aspiring textile entrepreneurs

Authors: VASWANI ANJU, MOTWANI ANJU, RAMONA BIRAU, VIRGIL POPESCU, ADRIAN T. MITROI, LOREDANA CIURLAU, MARIA-MIRABELA FLOREA-IANC
Pages 342–350 
DOI: 10.35530/IT.076.03.2024135
Published online: June 2025

Abstract
Financial awareness among citizens is directly related to the economic growth of the country. With increasing investor education programmes by financial regulators like the Reserve Bank of India (RBI) and the Securities and Exchange Board of India (SEBI), financial literacy among Indian youth and adults has witnessed significant growth. Despite this, still, only less than one-third of the nation can fulfil the minimum criteria of financial literacy as laid down by the RBI. So, there is a need to understand different aspects of financial awareness and how it impacts different areas of financial planning. This empirical study attempts to study the financial awareness and financial planning of higher education faculty in Mumbai from India, with the thought that teachers have high influential power, and financially aware teachers can produce financially responsible citizens who can contribute significantly to the economic growth and sustainable development of the nation. Textile entrepreneurs require strong financial literacy to navigate business decisions and ensure long-term success. Financially aware faculty can serve as role models and equip aspiring textile entrepreneurs with the knowledge and skills needed to thrive. The results of the empirical analysis reveal that overall mean scores for financial knowledge and retirement & estate planning are lower than other constructs. The output of ANOVA suggests that there exists a significant difference in financial awareness and financial planning of teachers belonging to different specialisation domains. Regression analysis shows that the financial awareness level significantly affects the financial planning score of teachers.
Keywords: financial awareness, financial planning, financial literacy, teachers, higher education, textile entrepreneurs

Citation: Anju, V., Anju, M., Birau, R., Popescu, V., Mitroi, A.T., Ciurlau, L., Florea-Ianc, M.-M., Financial awareness and financial planning among higher education faculty and their specific impact on the financial literacy of aspiring textile entrepreneurs, In: Industria Textila, 2025, 76, 3, 342–350,  http://doi.org/10.35530/IT.076.03.2024135

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Article: Analysis of yielding during the tensioning of fabrics in plain and four-wire twill weave

Authors: JOVANA STEPANOVIĆ PROFIROVIĆ, TATJANA ŠARAC, JOVAN STEPANOVIĆ
Pages 351–357 
DOI: 10.35530/IT.076.03.2024144
Published online: June 2025

Abstract
The deformation properties of woven textile materials depend on several factors. The main factors are the physical and mechanical properties of the yarn, the weave of the fabric and the density of the warp and weft in the fabric. The paper analysed the parameters at the yield point during tensioning of fabrics with different densities of weft wires, different weft yarns, with applied plain weave and four-wire twill weave. A special problem for predicting the deformation characteristics of textile materials is their anisotropic properties, so the results were analysed in the direction of the warp, in the direction of the weft and the diagonal direction.
A comparative analysis of the parameters at the yield point of fabrics in plain weave and four-wire twill weave, produced on the same basis in the weaving process, is given. Based on the obtained results, dependencies were proposed that can be used to predict the yielding of the corresponding fabrics in plain weave and four-wire twill weave, when the fabric is stretched in the direction of the warp, in the direction of the weft and at an angle of 45°.
Keywords: fabric, plain weave, twill weave, force, elongation, yielding of material

Citation: Stepanović Profirović, J., Šarac, T., Stepanović, J., Analysis of yielding during the tensioning of fabrics in plain and four-wire twill weave, In: Industria Textila, 2025, 76, 3, 351–357,  http://doi.org/10.35530/IT.076.03.2024144

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Article: Antimicrobial treatment based on green silver nanoparticles applied to textile heritage

Authors: MIHAELA-CRISTINA LITE, RODICA ROXANA CONSTANTINESCU, NICOLETA BADEA, LAURA CHIRILĂ, DOINA TOMA, DEMETRA SIMION, ALINA POPESCU
Pages 358–364 
DOI: 10.35530/IT.076.03.202498
Published online: June 2025

Abstract
Nanomaterials science expanded its application in various directions (biomedical, smart materials, sensors, optoelectronics, etc.). Silver nanoparticles (AgNPs) have been intensively tested within the textile department and demonstrated antimicrobial activity when applied under various forms (commercial colloidal nano-silver, in situ synthesis, etc.). The application of silver nanoparticles for historical artefacts conservation has been addressed, and several papers have reported the use of such treatments for cultural heritage conservation. In this work, the historical sample tested consisted of a cotton fabric, part of a priest’s costume, dating back to the 18th century, provided by the Church of Saint Nicolae “Dintr-o Zi”, located in Bucharest. The piece was treated with AgNPs-based treatment, which was phyto-synthesised by using a plant aqueous extract. The effect of the treatment on the sample was examined by studying fibres of the fabrics with electronic microscopy (SEM) and by quantifying the modification of the sample appearance, using chromatic parameters measurements. The antimicrobial activity was tested against gram-positive and gram-negative bacteria strains, Escherichia coli and Staphylococcus aureus, and the fungal strain Penicillium hirsutum. The layer of silver nanoparticles was uniformly distributed on the surface of the historical textile fibres. The changes in the appearance of the textile were minimal, with a total colour difference of 2.11. Evaluating the antimicrobial activity, superior antifungal performance was observed against the Penicillium hirsutum strain (for which the inhibition zone value was 12.5 mm). The FTIR spectrum demonstrated that the integrity of the textile fibre is maintained following the application of the treatment.
Keywords: silver nanoparticles, conservation treatment, historical textiles

Citation: Lite, M.-C., Constantinescu, R.R., Badea, N., Chirilă, L., Toma, D., Simion, D., Popescu, A., Antimicrobial treatment based on green silver nanoparticles applied to textile heritage, In: Industria Textila, 2025, 76, 3, 358–364,  http://doi.org/10.35530/IT.076.03.202498

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Article: Dynamic influence of assembly and cam profile machining errors in the modulator of dobby

Authors: YIN HONGHUAN, YU HONGBIN, ZHANG WEIYE
Pages 365–371 
DOI: 10.35530/IT.076.03.2024109
Published online: June 2025

Abstract
This study delves deeply into the dynamic performance of modular dobby systems used in the textile industry, underscoring the pivotal role of assembly errors in high-speed environments. It uncovers that such errors significantly escalate the vibration of follower components at elevated speeds, with the impact becoming more pronounced as speed increases. Whether employing interference or clearance fits, discrepancies between the cam and roller substantially influence the mechanism’s dynamic behaviour. Although interference fits can partially mitigate vibration, they may intensify during high-speed operations. In contrast, clearance fits not only heighten vibration but also reduce contact stiffness, thereby affecting the mechanism’s precision and longevity. Drawing from these findings, the study advocates for the preferential use of ideal or interference fits during design and assembly to minimise or eliminate the need for clearance fits. Ideal fits are conducive to maintaining low vibration levels, while interference fits bolster contact stiffness and diminish vibration. Additionally, maintaining optimal lubrication is imperative for curbing friction, wear, and vibration, thereby directly enhancing system performance and stability. In conclusion, a comprehensive grasp of how assembly errors affect modular dobby machines is of paramount theoretical and practical significance, facilitating design optimisation and bolstering the mechanism’s performance and reliability.
Keywords: dobby, modulator, assembly errors, dynamic performance, vibration amplitude

Citation: Honghuan, Y., Hongbin, Y., Weiye, Z., Dynamic influence of assembly and cam profile machining errors in the modulator of dobby, In: Industria Textila, 2025, 76, 3, 365–371,  http://doi.org/10.35530/IT.076.03.2024109

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Article: Application of machine learning methodology for textile defect detection

Authors: KEMAL GOKHAN NALBANT, BERKAN BOZKURT
Pages 372–386 
DOI: 10.35530/IT.076.03.2024108
Published online: June 2025

Abstract
This study investigates the use of artificial intelligence (AI) and machine learning (ML) technologies in the textile industry, particularly emphasising how they improve operational efficiency and enhance product quality. Using a comprehensive dataset obtained from textile manufacturing operations, a specially tailored convolutional neural network (CNN) model and a long-short-term memory (LSTM) model are implemented for the classification of fabric defects. After undergoing intensive training and validation, our model showed significant improvements in performance over a large number of epochs. The CNN model started with 61.15% accuracy initially and reached 92.91% accuracy after training. The validation accuracy increased from 72.44% to 92.05%. On the same dataset, the LSTM model resulted in 86.11% training accuracy and 87.80% validation accuracy. The significant improvements in accuracy highlight the power of AI and ML to not only improve classification accuracy but also boost overall operational performance by continuously learning from fresh data inputs. Moreover, this research highlights the impact of AI and ML breakthroughs on textile production as they optimise procedures, enhance efficiency, and strengthen competitive advantage. The findings demonstrate that these technologies are a substantial advancement for the textile sector, providing powerful tools to reduce faults, streamline production processes, and ultimately provide goods of superior quality. Therefore, the study promotes the wider use of AI and ML technologies in the textile manufacturing industry, emphasising their crucial role in driving future advancements and sustainable growth.
Keywords: artificial intelligence, convolutional neural networks, long short-term memory, machine learning, textile defect detection, textile industry

Citation: Nalbant, K.G., Bozkurt, B., Application of machine learning methodology for textile defect detection, In: Industria Textila, 2025, 76, 3, 372–386,   http://doi.org/10.35530/IT.076.03.2024108

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Article: Fabric defect detection: a hybrid CNN-LSTM approach using TGANet for improved classification and traceability

Authors: J. AGNES JERUSHA, C. AGEES KUMAR
Pages 387–396 
DOI: 10.35530/IT.076.03.2024171
Published online: June 2025

Abstract
The fashion industry is incredibly adaptable and strives to adjust to shifting fashion trends. A critical phase in the textile industry is ensuring that quality standards are met. The identification and categorisation of fabric flaws is an essential stage in the production process that keeps any defective fabric off the market. Individuals manually detected the fabric’s surface flaws; however, this is time-consuming and raises issues with human error. The creation of hybrid systems based on Textile Generative Adversarial Networks (TGANet) is the result of efforts to improve the accuracy of flaw detection using image processing studies. To solve fabric pattern classification and detection issues in fabric traceability and management, Convolutional Neural Networks (CNN) and long short-term memory (LSTM) in deep learning are used to extract texture features. To enhance the feature extractor, we employ TGANet in this study. Using fabric photos to train the new CNN-LSTM, the texture features are effectively retrieved, and the fabric categories are correctly identified using classifiers that have been tuned. Multimodal datasets for textile design are used. To verify the model’s robustness and generalisation, various data are used, such as training with tiny training sets and varying image sizes. The accuracy and speed of the suggested network model are 94% better than those of the traditional deep learning classification techniques.
Keywords: deep learning, fashion industry, TGANetwork, hybrid CNN-LSTM, detection and classification, classifier

Citation: Jerusha, J.A, Kumar, C.A., Fabric defect detection: a hybrid CNN-LSTM approach using TGANet for improved classification and traceability, In: Industria Textila, 2025, 76, 3, 387–396,  http://doi.org/10.35530/IT.076.03.2024171

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Article: A fast multi-scale textile pattern generation method combining layered loss and convolutional attention

Authors: GUODONG XU, YU CHEN, JIAN HUA
Pages 397–406 
DOI: 10.35530/IT.076.03.2024126
Published online: June 2025

Abstract
This paper introduces a neural network-based algorithm for the rapid multi-scale synthesis of textile patterns. The algorithm achieves comprehensive textile pattern style reconstruction by utilising low-level feature loss, represented by the Gram matrix, to capture colour and texture, and high-level feature loss, represented by the Wasserstein distance, to capture complex structures and semantic content. The convolutional attention feature enhancement module is incorporated to improve pattern detail clarity and overall visual quality by emphasising significant features and suppressing irrelevant information. Furthermore, the multi-scale optimisation module enhances texture and layering by optimising the image at different scales. Experimental results demonstrate that, compared to existing methods, this approach offers superior visual effects in pattern synthesis and scalability in pattern size. It not only generates high-quality textile patterns but also excels in managing complex textures and maintaining semantic consistency. This method aids designers in extending pattern designs and advances the intelligent development of textile design and production.
Keywords: textile pattern design, neural network, attention mechanism, style loss, intelligent design

Citation: Xu, G., Chen, Y., Hua, J., A fast multi-scale textile pattern generation method combining layered loss and convolutional attention, In: Industria Textila, 2025, 76, 3, 397–406,  http://doi.org/10.35530/IT.076.03.2024126

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Article: Impact of pattern lines and technological features on the behaviour of vamp-over-quarter footwear type

Authors: ARINA SEUL, MARIANA COSTEA, AURA MIHAI, RALUCA LUPU, ADRIANA CHIRILĂ, MANUELA-LACRAMIOARA AVĂDANEI, ANTONELA CURTEZA
Pages 407–414 
DOI: 10.35530/IT.076.03.2024164
Published online: June 2025

Abstract
This article aims to demonstrate how the positioning of the seam line between the vamp and quarter and the number of stitches affect the joint strength and overall performance of the product during walking. The configuration of analysis conditions and constraints was conducted using ANSYSTM. The gait biomechanics were considered to establish the load model, including the distribution of forces, their magnitudes, and constraints. The analysis focused on the three phases of gait: heel strike, mid-stance, and push-off, evaluating three key parameters: directional displacement, Von Mises stress, and elastic deformation. The study emphasises how directional displacement, stress distribution, and elastic deformation change based on the gait phase and the materials used in the construction of the selected footwear type. Using a two-stitch seam to join the components promotes directional displacements and reduces stress/tension compared to a single-stitch seam. Positioning the seam line between the vamp and quarters along the toe line increases stress/tension in the front section of the shoe. The analysis was validated by comparing simulation results with average plantar pressures obtained from a biomechanical assessment of plantar pressure distribution.
Keywords: gait biomechanics, directional displacement, von mises stress, elastic deformation, plantar pressure distribution

Citation: Seul, A., Costea, M., Mihai, A., Lupu, R., Chirilă, A., Avadanei, M.-L., Curteza, A., Impact of pattern lines and technological features on the behaviour of vamp-over-quarter footwear type, In: Industria Textila, 2025, 76, 3, 407–414,  http://doi.org/10.35530/IT.076.03.2024164

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Article: Impact of management practices on employees’ safety performance. Highlighting safety as a sustainable development goal in textile industry

Authors: MUHAMMAD AWAIS-E-YAZDAN, MUHAMMAD SHAHZAD IQBAL, MUDASSAR MUSHTAQ, VIRGIL POPESCU, RAMONA BIRAU, JENICA POPESCU, STEFAN MARGARITESCU
Pages 415–430 
DOI: 10.35530/IT.076.03.20253
Published online: June 2025

Abstract
Over time, thousands of employees were killed due to bad infrastructure, a poor emergency system and a weak health and safety system in the textile industry of Pakistan. Management needs to identify the workplace hazards to improve the employees’ performance. The current study was conducted to determine the impact of management practices on employees’ safety performance in Pakistan’s textile industry. For this purpose, primary data was collected from the managerial staff of the textile sector. Smart PLS and SPSS 23 were used for data analysis. A total of 180 questionnaires were sent to the respondents, out of which 165 questionnaires were received back. Organisational health and safety is considered a management issue; in previous studies, this issue has not been explored by scholars. Organisational health and safety issue is also considered a general management issue; it continues to be overlooked by scholars in the management field. The findings show that management commitment, promotion of employees, and safety training affect the employees’ safety performance. Safety knowledge and safety motivation mediate the relationship between Management practices and employees’ safety performance. Meanwhile, institutional pressure moderates the relationship between HR practices and safety knowledge and safety motivation significantly. The findings of this study provide useful insights for managers in designing the mechanism by which workplace safety can be enhanced.
Keywords: management commitment, safety training, safety motivation, safety knowledge, employee’s safety performance, institutional pressure

Citation: Awais-E-Yazdan, M., Iqbal, M.S., Mushtaq, M., Popescu, V., Birau, R., Popescu, J., Margaritescu, S., Impact of management practices on employees’ safety performance. Highlighting safety as a sustainable development goal in textile industry, In: Industria Textila, 2025, 76, 3, 415–430,  http://doi.org/10.35530/IT.076.03.20253

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Article: The influence of the colour and the surface area occupied in the camouflage pattern on the reflection index

Authors: EMILIA VISILEANU, ELENA PERDUM, LAURENTIU DINCA, ADRIAN SALISTEAN, MARIAN CATALIN GROSU
Pages 431–440 
DOI: 10.35530/IT.076.03.202517
Published online: June 2025

Abstract
Textile camouflage structures designed for weather protection, combat suits, and military uniforms for land forces are defined by their physical, mechanical, and optical properties. An analysis of the statistical populations of reflection within the wavelength range of 860–1200 nm revealed the degree of dispersion in the measured values. A novel method was developed to determine the weight of monochromatic areas on a multi-coloured surface. Various camouflage textile structures were examined to investigate the correlation between reflection indices and the weight of the single-coloured regions. Several parameters were identified, including the colour index, the range of colour reflectance, the area covered by each colour, and the weight of the colour-covered region. To assess the degree of reflection for each colour within the spectral range of 860–1200 nm, the median of the reflection values was calculated, as it provides a more representative measure of the overall reflective properties. The frequency distribution of these values was analysed, leading to the establishment of a ranking of camouflage types based on their reflection coefficients, starting with the lowest reflection value. Regression curves were derived for the reflection index values at wavelengths between 860–1200 nm, with increments of 10 nm. These initial regression curves, along with those weighted by colour area, include regression equations for the analysed textile structure variants. These equations enable the calculation of the regression index as a function of wavelength.
Keywords: camouflage textile structures, reflection, wavelength range, optical properties, regression curves

Citation: Visileanu, E., Perdum, E., Dinca, L., Salistean, A., Grosu, M.C., The influence of the colour and the surface area occupied in the camouflage pattern on the reflection index, In: Industria Textila, 2025, 76, 3, 431–440,  http://doi.org/10.35530/IT.076.03.202517

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Article: Framework for implementing energy efficiency strategies in textile SMEs to achieve sustainability and business growth

Authors: KRISHNA RUBIGHA K., NALINI PALANISWAMY
Pages 441–447 
DOI: 10.35530/IT.076.03.2024160
Published online: June 2025

Abstract
A Small and Medium Enterprise (SME) in the textile industry usually focuses on specialised processes like weaving, knitting, or dyeing while producing and distributing fabrics, clothing or other textile products. This study looks into the sustainability and energy efficiency strategies used by small and medium-sized businesses (SMEs) in Tamil Nadu’s textile sector, particularly in manufacturing hubs like Coimbatore, Tiruppur, Madurai and Salem. The study uses a mixedmethods approach combining qualitative information from interviews with SME owners, production managers and sustainability officers with quantitative data obtained from structured questionnaires. A representative sample of 1250 SMEs from a range of industries, including spinning, weaving, dying, and clothing manufacturing, was guaranteed by a stratified random sampling technique. Together with structural equation modelling (SEM), descriptive statistics, correlation analysis and multiple regression analysis were used to analyse the data and investigate the connections between firm performance, sustainability practices and energy efficiency. Three specific hypotheses were examined in this study: how energy efficiency measures affect operational performance, how sustainable practices and financial performance are related and what obstacles exist for the adoption of energy-efficient technologies. The results show strong correlations and gains in financial and operational performance, underscoring the critical role that sustainability and energy efficiency play in raising textile SMEs’ competitiveness.
Keywords: energy efficiency, textile industry, small and medium enterprises, sustainability practices, structural equation modelling, Tamil Nadu

Citation: Rubigha, K.K., Palaniswamy, N., Framework for implementing energy efficiency strategies in textile SMEs to achieve sustainability and business growth, In: Industria Textila, 2025, 76, 3, 441–447,  http://doi.org/10.35530/IT.076.03.2024160

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