Issue 2 / 2024
Inner covers
Article: Effect of different washing processes, twill direction and yarn types on the performance properties of denim fabrics
Authors: ESRA TAŞTAN ÖZKAN, BINNAZ KAPLANGIRAY, ZEYNEP KIRATLI, YASEMIN SENER
Pages: 127–136
DOI: 10.35530/IT.075.02.202362
Published online: April 2024
Abstract
This study aims to investigate the effects of different washing processes, twill directions, and yarn types on the
performance properties of denim fabrics. For this purpose, 100% cotton elastane, 85% cotton/15% Modal elastane, and
85% cotton/15% Tencel elastane including denim fabrics were produced with two different weaves (3/1 Z and 3/1 S),
and four different industrial washing operations were applied to these denim fabrics. In addition, untreated fabrics (not
industrially washed) were used to compare the performance of the fabrics before and after industrial washing. The
highest warp-breaking strength values were observed in the rinse-washed fabrics, whereas the highest shrinkage,
elasticity, and rubbing fastness values were observed in the bleach-washed fabrics. In addition, it can be said that
industrial washing processes reduce the growth values of untreated fabrics and reduce the bagging during use. Although
the crystallisation degree of Tencel fibre is higher than that of Modal fibre, it was concluded that the use of Modal fibre
with cotton increased the strength values. In contrast, the use of Tencel fibre with cotton increased the elasticity and
rubbing fastness values of the denim fabrics.
Keywords: denim, Tencel, Modal, bleach washing, enzyme washing, rinse washing, stone washing
Citation: Özkan, E.T., Kaplangiray, B., Kiratli, Z., Sener, Y., Effect of different washing processes, twill direction and yarn types on the performance properties of denim fabrics, In: Industria Textila, 2024, 75, 2, 127–136, http://doi.org/10.35530/IT.075.02.202362
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Article: Evaluation of psychological occupational health constraints according to the Karasek model among female sewing machine operators in Tunisia
Authors: NAHED JAFFEL MEMMI, NAJEH MAÂTOUG, NAJEH CHEMKHI, SAKLI FAOUZI
Pages 137–141
DOI: 10.35530/IT.075.02.1594
Published online: April 2024
Abstract
Stress has become a major concern of modern times as it can cause harm to employee’s health and performance.
Mental health is a fundamental constituent of occupational health. Scientific studies on psychological occupational
health in the textile industry are relatively rare in Tunisia. This study seeks to estimate the rate of occupational stress,
reveal associated factors and design strategies and ways to improve the work situations in a clothing company in the
Monastir region. We performed a transversal study among female sewing machine operators. For the evaluation of
professional stress, we used the Karesek questionnaire, a validated self-administered questionnaire. To carry out the
descriptive analyses, we estimated frequencies and odds ratios (ORs). To explore associations linking organizational
and socio-demographic variables and stress, we calculated adjusted ORs using a logistic regression model. As a result,
the present study pointed out a strong degree of stress among operators: 30% of study participants reported that they
were suffering from stress according to the Karasek stress scale. Our study revealed a statistically relevant correlation
between stress and age, work experience, perceived non-adaptation of the task, and a poor perception of the
organization. Stress is related to multiple socio-professional determinants. Most operators needed ergonomic
interventions and prevention and risk management recommendations. Evaluation of the width of psychosocial risk
factors at the workplace enables preventive strategies to preserve operators' mental health.
Keywords: occupational health, stress, Karasek, textile industry, Tunisia
Citation: Memmi, N.J., Maâtoug, N., Chemkhi, N., Sakli, F., Evaluation of psychological occupational health constraints according to the Karasek model among female sewing machine operators in Tunisia, In: Industria Textila, 2024, 75, 2, 137–141, http://doi.org/10.35530/IT.075.02.1594
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Article: Factorial experimental design based on multiple factors for sensors and actuators development
Authors: RALUCA MARIA AILENI, CRISTINA STROE
Pages 142–149
DOI: 10.35530/IT.075.02.202318
Published online: April 2024
Abstract
This paper presents several use cases for a full factorial experimental design method used in the development of flexible
sensors and actuators. The full factorial experimental designs consisted of 4 factors with discrete values (3–4 levels)
based on known parameters of the experimental devices. In general, the selected factors can influence other dependent
variables. This study aims to investigate the main effects and the interaction effects (antagonistic, synergistic, ceiling)
among the different factors and to optimize an experimental design for reducing the consumption (raw materials, water,
energy, chemicals) and obtaining the optimal values for surface electrical resistance using a reduced number of
experiments. The use of the complete factorial experimental plan and optimization with a minimization function helps to
select, from the set of possible experiments, the experiments including the optimal parameters for obtaining the desired
result. Therefore, the number of experimental plans and the corresponding amount of resource consumption is reduced
(e.g., from 81–256 experiments to 10–20 experiments) while obtaining electroconductive textile electrodes for sensors
and actuators.
Keywords: factorial design, sensors, actuators, textile, conductive, electrical resistance, experiment, optimization
Citation: Aileni, R.M., Stroe, C., Factorial experimental design based on multiple factors for sensors and actuators development, In: Industria Textila, 2024, 75, 2, 142–149, http://doi.org/10.35530/IT.075.02.202318
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Article: Prediction of yarn sales price using data mining techniques – a case of yarn manufacturing industry
Authors: MUHAMMAD ALI, SAMAN HINA, SHERAZ HUSSAIN SIDDIQUE, RUKSHAN TAUFIQ LODHI
Pages 150–156
DOI: 10.35530/IT.075.02.20234
Published online: April 2024
Abstract
Data-driven knowledge is required for businesses to make better decisions that result in profit maximisation. In this
study, it has been attempted to develop a model to predict yarn sales prices against cotton prices and other parameters.
For this purpose, four different data mining techniques namely ARIMA (Autoregressive Integrated Moving Average),
Multivariate regression, K-Nearest Neighbor (KNN) and Neural Networks (NN), were considered. The entire analysis
was performed on thirty months of data that was collected from the ERP system of a yarn manufacturing industry. The
unique aspect of this study is that before separately deploying data mining techniques, significant parameters that
impact yarn sales prices were identified through Adjusted R-squared values. Seasonal and trend patterns were checked
on yarn sales data, and seasonal adjustments were obtained through data mining algorithms. The performance of all
four models was evaluated using Mean Absolute Error and Root Mean Square Error. The analysis shows that the KNN
model, in the stated settings, is the most accurate as evident from MAE and RMSE values of 222.85 and 285.082,
respectively. This study’s unique combination of features and machine learning algorithms is envisaged to be valuable
for decision-makers in the textile yarn manufacturing industry.
Keywords: yarn price, cotton price, prediction, K Nearest Neighbor, multivariate regression, Neural Network
Citation: Ali, M., Hina, S., Siddique, S.H., Lodhi, R.T., Prediction of yarn sales price using data mining techniques – a case of yarn manufacturing industry, In: Industria Textila, 2024, 75, 2, 150–156, http://doi.org/10.35530/IT.075.02.20234
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Article: Comprehensive assessment methods of environmental impacts during textile production
Authors: HUANG QIANWEN, HAO CAI, LIU CAN, LI XIN, ZHU LISHA, WANG LAILI
Pages 157–163
DOI: 10.35530/IT.075.02.20238
Published online: April 2024
Abstract
As an important part of textile production, the dyeing process not only makes the greatest contribution to water
consumption and wastewater discharge, but its use of synthetic dyestuffs has a negative impact on all forms of life. To
assess the environmental impact of textile production, it is necessary to assess the environmental impact of the dyeing
process. Comprehensive assessment methods can convert multi-dimensional environmental impacts into unified
quantitative indicators and enable comparisons between different products or environmental impact categories. In this
study, five comprehensive assessment methods (i.e., ReCiPe, Eco-Indicator 99, Nike MSI, Environmental Price, and
Environmental Profit & Loss) were applied to evaluate the environmental impact of the cotton fabric dyeing process.
Furthermore, a preliminary assessment framework was constructed which could provide a reference for industry experts
to establish uniform environmental assessment standards. The results indicate that diverse methods are recommended
to be applied in parallel to analyse the environmental impact of textile products, and the use of individual comprehensive
environmental assessment methods has its limitations and characteristics. Among the five methods, the ReCiPe method
stands out as one of the most advanced LCA methodologies with the widest range of midpoint impact categories and a
global-scale calculation mechanism. The scoring method offers sufficient possibilities to compare the severity of different
environmental impacts caused by the dyeing process, and the monetary value model can be used as a more intuitive
tool to characterize environmental impact no matter from the midpoint or endpoint.
Keywords: comprehensive assessment methods, environmental impacts, textile production, single point, monetary valuation
Citation: Qianwen, H., Cai, H., Can, L., Xin, L., Lisha, Z., Laili, W., Comprehensive assessment methods of environmental impacts during textile production, In: Industria Textila, 2024, 75, 2, 157–163, http://doi.org/10.35530/IT.075.02.20238
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Article: Different types of environmental regulations and carbon intensity: empirical analysis of China’s garment industry
Authors: ZHANG JIANLEI, HE LIN, SHEN PANDENG
Pages 164–170
DOI: 10.35530/IT.075.02.20239
Published online: April 2024
Abstract
Environmental regulation is an important tool to mitigate carbon emissions. To explore the relationships between
different types of environmental regulations and carbon intensity (CI) of China’s garment industry, this paper uses
multiple econometric models to study the effects of command-and-control environmental regulation (CER),
market-incentive environmental regulation (MER) and public-participation environmental regulation (PER) the carbon
intensity of China’s garment industry and analyses their regional heterogeneity. The results show that at the national
level, both CER and MER have a green paradox effect on CI of China’s garment industry, while the effect of PER is not
significant. At regional level, in the eastern garment industry the influence of CER on CI is dominated by the forced
emission reduction effect, while MER pushes up the emission intensity within a certain range. Increasing PER helps to
reduce the CI of western and North-eastern garment industry. The potential for implications from the results and policy
recommendations are also discussed.
Keywords: China’s garment industry, carbon intensity, environmental regulation, green paradox effect, forced emission reduction effect
Citation: Jianlei, Z., Lin, H., Pandeng, S., Different types of environmental regulations and carbon intensity: empirical analysis of China’s garment industry, In: Industria Textila, 2024, 75, 2, 164–170, http://doi.org/10.35530/IT.075.02.20239
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Article: Developing a zero-waste pattern drafting method suitable for mass production
Authors: IRINA-ELENA MARIN, VICTORIA BOCANCEA, MARIA CARMEN LOGHIN
Pages 171–176
DOI: 10.35530/IT.075.02.202344
Published online: April 2024
Abstract
The fashion industry is well known for being one of the most polluting industries worldwide, and its contribution to textile
waste and apparel consumption has grown in significance over the years. The development and integration of
zero-waste patterns in designing sustainable apparel represent a promising approach that supports reducing
pre-consumer textile waste and optimizing fabric consumption. Moreover, it encourages society to step into a new era
of the garment industry, by shifting the regular way in which consumers are currently perceiving apparel items: a trend,
rather than a need – based on a survey conducted in 2023 by the author. The study focuses on the design principles
and techniques of zero-waste patterns and their impact on fabric utilization. For this study, the patterns have been
digitally drafted and nested, testing the requirements given by the chosen fabric and waste minimization. To acquire a
specific image of the result, consisting of the garment item, has been virtually simulated. This method of obtaining the
product’s prototype aims to highlight and encourage the paradigm shift concerning digitalization that needs to take place
within the manufacturing industry. The results of the study demonstrate that zero-waste patterns can reduce fabric
consumption and significantly reduce pre-consumer waste, but their drafting methods are highly related to the design
process and the chosen fabric’s characteristics, such as usable with or print artwork.
Keywords: apparel industry, pre-consumer fabric waste, sewing patterns, size set, sustainability
Citation: Marin, I.-E., Bocancea, V., Loghin, M.C., Developing a zero-waste pattern drafting method suitable for mass production, In: Industria Textila, 2024, 75, 2, 171–176, http://doi.org/10.35530/IT.075.02.202344
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Article: Design of an interactive fashion recommendation platform with intelligent systems
Authors: ARZU VURUSKAN, GOKHAN DEMİRKİRAN, ENDER BULGUN, TURKER INCE, CUNEYT GUZELIS
Pages 177–184
DOI: 10.35530/IT.075.02.202312
Published online: April 2024
Abstract
With the increase in customer expectations in online fashion sales, greater integration of fashion recommender systems
(RSs) allows more personalization. Design decisions rely on personal taste, as well as many other external influences,
such as trends and social media, making it challenging to adapt intelligent systems for the fashion industry. Different
methods for recommending personalized fashion items have been proposed, however, the literature still lacks an
approach for recommending expert-suggested and personalized items. In this research, an interactive web-based
platform is developed to support personalized fashion styling, focusing on users with diverse body shapes. To merge
the user’s taste and the expert’s suggestion, the proposed methodology in this research combines genetic algorithms
and machine learning techniques allowing the system to access expert knowledge (including external influences) and
incremental learning capability, by adapting to the user preferences that unfold during interaction with the system.
Keywords: fashion styling recommendation, personalisation, female body shapes, web-based platform, genetic algorithms, artificial neural networks, incremental learning
Citation: Vuruskan, A., Demirkiran, G., Bulgun, E., Ince, T., Guzelis, C., Design of an interactive fashion recommendation platform with intelligent systems, In: Industria Textila, 2024, 75, 2, 177–184, http://doi.org/10.35530/IT.075.02.202312
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Article: Research on the bending and tensile mechanical properties of ceramic yarns
Authors: JIUGANG LI, XINPENG JIN, JIAHAO HE, WENLU ZHANG, QINGYANG LI, ZHIJIANG LIU, PEIQING JIANG, CHONG HE, WENBIN LI
Pages 185–193
DOI: 10.35530/IT.075.02.2022135
Published online: April 2024
Abstract
Ceramic yarns play an important role in the aerospace sector, aviation, military, shipbuilding and nuclear industry, they
have some advantages of high-temperature resistance, high specific strength and high specific modulus. However,
almost no one studies the bending properties of ceramic yarns. To explore the influence of the degree of bending of
ceramic yarn on its mechanical properties, three kinds of ceramic yarns (silicon carbide, silicon nitride and alumina) were
knotting, bending and checking tensile tests. The retention rate of silicon nitride yarn after bending, checking and
knotting tensile tests was 81.9%, 3.39% and 0.17%. The retention rate of silicon carbide yarn after bending, checking
and knotting tensile tests was 95.1%, 4.88% and 0.09%, respectively. After bending, checking and knotting tensile tests,
the fracture strength retention rate of alumina yarn was 91.8%, 0.39% and 0.04%. It was proved that the retention rate
of breaking strength of ceramic yarn decreases seriously under different forms of bending. As a result, ceramic yarns
should not be used under bending conditions.
Keywords: ceramic yarn, kinking property, knotting property, entanglement property, retention rate of fracture strength
Citation: Li, J., Jin, X., He, J., Zhang, W., Li, Q., Liu, Z., Jiang, P., He, C., Li, W., Research on the bending and tensile mechanical properties of ceramic yarns, In: Industria Textila, 2024, 75, 2, 185–193, http://doi.org/10.35530/IT.075.02.2022135
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Article: Development of antimicrobial hydrogels for burn wound treatment
Authors: LAURA CHIRILĂ, ALINA POPESCU, MĂDĂLINA IGNAT, MANUELA AVADANEI, CRISTINA MIHAELA LITE
Pages 194–202
DOI: 10.35530/IT.075.02.2021113
Published online: April 2024
Abstract
To obtain biomaterials with the potential for use in the treatment of first-burn injuries, this study focused on the
development of several polymeric systems based on collagen-polyvinyl alcohol-active principles. The hydrogels were
prepared using polymeric matrices formers (collagen and polyvinyl alcohol), water, and glycerol in the presence of the
nonionic surfactant polysorbate 80 (Tween 80®) under proper homogenization. For the development of multifunctional
textile materials designed for topical application, ciprofloxacin, chlorhexidine, tea tree essential oil, and curcumin were
used as active principles. The obtained hydrogels were then immobilized by the padding method on 100% plain weave
cotton. The functionalized textile materials were characterized in terms of their physico-mechanical and comfort
characteristics, hydrophilicity, and antibacterial activity. The mass of all the functionalized textile materials increased
compared to that of the untreated fabric, due to the amount of polymeric systems remaining after the functionalization
process. The water vapour permeability and air permeability of the functionalized materials were lower than those of the
untreated samples. Antibacterial activity was observed for all analysed samples, with inhibition zones between 14 mm
(CUC-11 code in the presence of S. aureus) and 27 mm (CUC-1 code in the presence of E. coli), obtained for the textile
materials treated with the hydrogels containing ciprofloxacin, exhibiting the most pronounced antibacterial effect
compared to analogous samples containing chlorhexidine. The obtained experimental data suggest that these hydrogels
are appropriate candidates for application in burn wound management.
Keywords: cotton, antibacterial activity, drugs, curcumin, tea tree essential oil
Citation: Chirilă, L., Popescu, A., Ignat, M., Avadanei, M., Lite, C.M., Development of antimicrobial hydrogels for burn wound treatment, In: Industria Textila, 2024, 75, 2, 194–202, http://doi.org/10.35530/IT.075.02.2021113
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Article: Adsorption, kinetics, and thermodynamic study of dyeing the Scutellaria Orientalis L as an eco-friendly natural colourant on cotton fabric
Author: MENDERES KOYUNCU
Pages 203–211
DOI: 10.35530/IT.075.02.202310
Published online: April 2024
Abstract
The adsorption isotherm, thermodynamic parameter, and kinetics study for dyeing without mordanting cotton fabric dyed
with natural dye obtained from an aqueous extract of the Scutellaria Orientalis were investigated using, as optimal
conditions, at pH of 5 a material to liquor ratio (MLR) of 1:100, an initial dye concentration of 1.0/l and contact time
(20–90 min.). The effect of the temperature and dyeing time (from 20–90 min.) on dyeing was evaluated using three
different temperatures (from 60, 80, and 90°C). Also, the adsorption isotherms have been analyzed by Langmuir and
Freundlich models. It is revealed that the adsorption kinetics was found to follow the pseudo-first-order kinetic model,
the obtained adsorption isotherm was found to be suitable for both Langmuir and Freunlich adsorption isotherm, and the
dyeing process is exothermic. The rate of dye uptake and thermodynamic parameters have also been calculated and
discussed.
Keywords: Scutellaria orientalist L, cotton, dyeing, adsorption, isotherm, thermodynamic
Citation: Koyuncu, M., Adsorption, kinetics, and thermodynamic study of dyeing the Scutellaria Orientalis L as an eco-friendly natural colorant on cotton fabric, In: Industria Textila, 2024, 75, 2, 203–211, http://doi.org/10.35530/IT.075.02.202310
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Article: The effect of ambient conditions on employees in textile and garment companies
Authors: BİLGİÇ HİLAL, DOBA KADEM FÜSUN
Pages 212–219
DOI: 10.35530/IT.075.02.202326
Published online: April 2024
Abstract
In this study, the effect of ambient conditions on employees was analyzed with the questionnaire applied to employees
in selected textile and apparel companies and the results obtained were interpreted in terms of occupational health and
safety. For the study, a total of 809 employees working in four companies including two textile companies and two
garment companies were surveyed. 27.4% of the employees in the companies surveyed are women and 72.6% are
men. In the survey conducted for the research, it was asked whether the environmental conditions in textile and apparel
companies affect the employees negatively or not. According to the statistical analysis results made on the answers, it
was concluded that high temperature, noise, moisture and bad ergonomy (positions that may cause discomfort in the
musculoskeletal system) differ significantly, that is, they negatively affect the employees. The high temperature most
negatively affected the employees in company D. Noise most negatively affected employees in company D. Moisture
had the highest rate of affecting the employees in company A. The weak lighting rate is low for all companies. Bad
ergonomy was seen at the highest rate in C and D companies, which are garment companies. Companies were
informed about the negative conditions affecting employees and improvement studies were carried out.
Keywords: ambient conditions, ergonomy, noise, occupational health, thermal comfort
Citation: Hilal, B., Füsun, D.K., The effect of ambient conditions on employees in textile and garment companies, In: Industria Textila, 2024, 75, 2, 212–219, http://doi.org/10.35530/IT.075.02.202326
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Article: The role evolution of textile industry in China’s economy during 2002–2020: an input-output analysis
Authors: ZHANG JIANLEI, WENG SHENGBIN, HE LIN
Pages 220–225
DOI: 10.35530/IT.075.02.202324
Published online: April 2024
Abstract
This paper uses the input-output (I-O) model to evaluate industry linkages and industry spread of China’s textile industry
(CTI) to investigate the role evolution of CTI in China’s economy during 2002–2020. The research results show that:
(1) the role of CTI in China’s economy is on a declining trend and its share in the industrial sectors is shrinking; (2) CTI
has long and high backward linkages with the upstream agriculture, chemistry and wholesale & retail and high forward
linkages with the downstream garment, papermaking and culture, chemistry and health; these connections are
becoming closer and closer; (3) the power of dispersion and the power of dispersion index of CTI has been greater than
the sensitivity of dispersion and sensitivity of dispersion index for a long time; it indicates that CTI is still the sector that
drives China’s economic growth; (4) the final demand effect shows CTI has always been the most dependent on net
exports, followed by consumption and investment and it’s still an export-oriented industry. Finally, some relevant policy
suggestions are put forward.
Keywords: China’s textile industry, role evolution, input-output model, industry linkage, industry spread
Citation: Jianlei, Z., Shengbin, W., Lin, H., The role evolution of textile industry in China’s economy during 2002–2020: an input-output analysis, In: Industria Textila, 2024, 75, 2, 220–225, http://doi.org/10.35530/IT.075.02.202324
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Article: ANOVA and Tukey's interpretation of the innovative FPSE method applied to museum textiles
Authors: ELENA-CORNELİA TĂNĂSESCU, ALEXANDRA-GABRİELA ENE, ELENA PERDUM, OVİDİU IORDACHE, LUCİAN GABRİEL RADU
Pages 226–236
DOI: 10.35530/IT.075.02.20244
Published online: April 2024
Abstract
The need to protect textile museum collections against pests has led to the use of pesticides. Pesticides can persist over
time, thus leading to problems such as possible injury to museum staff. To address this problem, attempts have been
made to obtain an overview of pesticide detection without destroying collections.
In this paper, a nondestructive method for the extraction and detection of three pesticides was optimised. The selection
of the main parameters of the method was carried out using statistical analysis of the obtained data by applying one-way
ANOVA and the Tukey test.
FPSE optimisation is performed by evaluating the following parameters: polymer selection (individual or mixture of
polymers), acid catalyst (trifluoroacetic acid, acetic acid and hydrochloride acid), amount of polymer (1 g, 2.5 g or 5 g),
polymerisation time (30 minutes, 120 minutes and 240 minutes), ultrasonic bath temperature (40°C and 70°C), type of
bath used to obtain the sol-gel (ultrasonic bath, water bath with stirring and mechanical stirrer) and influence of the last
steps of the preparation of the sol-gel solution. After the extraction system was optimized, statistical analysis was
conducted to assess the influence of pesticide extraction time on FPSE and desorption from FPSE in ethyl acetate.
Keywords: statistical analysis, coating, extraction methods, nondestructive, chromatography, polymer
Citation: Tănăsescu, E.-C., Ene, A.-G., Perdum, E., Iordache, O., Radu, L.G., ANOVA and Tukey's interpretation of the innovative FPSE method applied to museum textiles, In: Industria Textila, 2024, 75, 2, 226–236, http://doi.org/10.35530/IT.075.02.20244
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Article: Exploring the factors influencing hesitation among textile industry weavers in adopting digital banking services in India
Authors: BHARAT KUMAR MEHER, ABHISHEK ANAND, RAMONA BIRAU, IULIANA CARMEN BĂRBĂCIORU, ROBERT DORIN FILIP, GABRIELA ANA MARIA LUPU (FILIP)
Pages 237–247
DOI: 10.35530/IT.075.02.202361
Published online: April 2024
Abstract
These small textile weavers in this emerging country such as India have been hesitant to adopt digital banking methods.
This is due to a lack of awareness and trust in digital payment systems, as well as a preference for traditional payment
methods. Additionally, many small textile weavers lack the necessary infrastructure, such as smartphones and internet
connectivity, to engage in digital banking. These challenges have created a barrier for small textile weavers to fully
participate in India's growing digital economy. This study is an attempt not only to highlight the various realistic problems
that are responsible for hesitation among textile weavers of India in the usage of digital banking but also to formulate a
suitable model that could depict the significant variables that are responsible for the hesitation in the usage of digital
banking among small textile weavers by using Step-wise regression method. The study relies on primary data collected
by questionnaire from weavers in the top ten states in India based on residence and number of weavers, with 454
weavers participating from various states. The results of the study depict that there are 5 significant factors or predictors
that are responsible for the hesitation among weavers of India in using e-banking namely a sense of insecurity due to
cyber-crime, unaffordability of smartphones, lack of knowledge in operating smartphones, demonstration effect and
network issues.
Keywords: textile industry in India, weavers, digital banking, step-wise regression, demonstration effect
Citation: Meher, B.K., Anand, A., Birau, R., Bărbăcioru, I.C., Filip, R.D., Lupu (Filip), G.A.M., Exploring the factors influencing hesitation among textile industry weavers in adopting digital banking services in India, In: Industria Textila, 2024, 75, 2, 237–247, http://doi.org/10.35530/IT.075.02.202361
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