Textile Sector Research Articles

Sustainable Leadership: Example of Bursa Textile Sector

Sustainability means creating economic, environmental, and social growth not only in line with today’s needs but also by taking steps towards the future while considering the past. In the organizational context, sustainability means ensuring that internal and external stakeholders of the organization benefit from the values created, and also ensuring that the organizational policies and strategies are ethical. In this context, leaders who can achieve this are urgently needed. In this frame, the aim of this study is to investigate the perceptions and attitudes of textile sector employees towards sustainability in relation to their organizational leaders. As data collection tool, a survey form consisting of demographic questions and the “Sustainable Leadership Scale”, developed by McCann and Holt (2011) was prepared and delivered to the white collar employees of textile sector in Demitaş Organized Industry Zone (DOSAB) participants as both hard copies and via e-mail. The gathered data were analyzed in the SPSS 22.0 package program. The findings show that, there is a statistically significant difference (p

Natural polymers and their application in the textile sector (Review)

Natural polymers and their application in the textile sector (Review)

Green synthesis of biomass-derived carbon quantum dots for photocatalytic degradation of methylene blue.

Water pollution, significantly influenced by the discharge of synthetic dyes from industries, such as textiles, poses a persistent global threat to human health. Among these dyes, methylene blue, particularly prevalent in the textile sector, exacerbates this issue. This study introduces an innovative approach to mitigate water pollution through the synthesis of nanomaterials using biomass-derived carbon quantum dots (CQDs) from grape pomace and watermelon peel. Utilizing the hydrothermal method at temperatures between 80 and 160 °C over periods ranging from 1 to 24 h, CQDs were successfully synthesized. A comprehensive characterization of the CQDs was performed using UV-visible spectroscopy, Fourier-transform infrared spectroscopy, dynamic light scattering, Raman spectroscopy, and luminescence spectroscopy, confirming their high quality. The photocatalytic activity of the CQDs in degrading methylene blue was evaluated under both sunlight and incandescent light irradiation, with measurements taken at 20 min intervals over a 2 h period. The CQDs, with sizes ranging from 1-10 nm, demonstrated notable optical properties, including upconversion and down-conversion luminescence. The results revealed effective photocatalytic degradation of methylene blue under sunlight, highlighting the potential for scalable production of these cost-effective catalytic nanomaterials for synthetic dye degradation.

Impact of HRM on Organizational Performance: Evidence from Banking Sector

The aim of current research is to check the impact of HRM practices on organizational performance. The current study uses incentives, employee training, recruitment, and job security as the main HRM practices. The current study considers the officer-rank employees of Shukkar as target population. The current research used a purposive sampling technique for data collection. Around 379 questionnaires were distributed to employees 315 complete questionnaires were used for final analysis. Data was analyzed with the help of SPSS 24. Reliability, Correlation, and Regression analysis are tests that are employed. Results indicate that incentives, employee training, recruitment, and job security have positive and negative impacts on organizational performance. Incentives for Employees and Job Security have a negative impact on organizational performance. This means that Recruitment and employee training has a positive impact on organizational performance. In the future, more HRM practices like teamwork, and leadership style may also be included. For generalizability, data will be collected from other sectors like the education sector, telecom sector, textile sector, and engineering sector.

Mathematical optimisation in the honeycomb cardboard industry: A model for the two-dimensional variable-sized cutting stock problem

This paper presents a mixed-integer linear programming model for a two-dimensional variable-sized cutting stock problem with guillotine cuts that arises in the honeycomb cardboard sector. This research is developed in collaboration with a company based in Spain. The aim is not only to define the cutting patterns but also to establish the dimensions (width and length) of the panels to be produced, in such a way that the amount of material used is minimised. This particular problem belongs to the family of Cutting Stock Problems involving a Variable-Sized Stock, where the size of the panels in stock is not known in advance and is determined by the model itself. Cutting Stock Problems with Variable Sized Stock have recently been introduced in two papers, one of them in the textile sector and the other in the cardboard sector. This paper proposes a model for the latter sector that allows cutting patterns with more than one type of item, a feature that has not been considered beforehand. This, therefore, provides considerable flexibility to the model and broadens its range of applications. Moreover, the model has been validated on real data with high variability in its characteristics. The results indicate that the material used can be drastically reduced compared to the company’s current operation.

Literature review on artificial intelligence in dyeing and finishing processes

The finishing process in the textile sector is recognized as one of the most complex. This complexity arises from the diversity of structures, the multiple steps involved, the use of complex machinery, the variety of materials, chemicals and dyes, and the need to combine creativity and precision. Therefore, it is crucial to have tools that can improve efficiency, flexibility, and decision-making in this complex area. This literature review aims to provide relevant information on the use of digital engineering in the field of textile finishing. In this review, we used a systematic literature review methodology to examine how digital engineering is applied in the dyeing and finishing process. The data for this study was collected from reputed databases such as Science Direct, IEEE Xplore, Textile Research Journal and Google Scholar. We used the Prisma framework to select relevant articles, which led to the exclusive inclusion of journal articles in our literature review. A comprehensive framework has been developed to understand the impacts of using digital engineering. The approach presented in this framework provides a comprehensive and highly effective approach to addressing the complex challenges associated with ambiguity, modifications and subtleties frequently observed in the ennobling process. The results of various studies explored different aspects, such as properties of textile materials, chemicals and dyes, performance of finishing machines, organizational performance of finishing companies, as well as health concerns and safety at work. Although these studies have provided valuable solutions, they unfortunately remain insufficient to meet the requirements of the finishing process, which remains a complex area characterized by uncertainties, variations, and subtleties inherent to the practice. This particularity of each dyed and finished product promotes an environment conducive to experimentation and continued research.

PENGGUNAAN MODEL EKONOMETRIKA UNTUK MENENTUKAN INSENTIF PERPAJAKAN BAGI INVESTOR DAN PENGARUHNYA BAGI INVESTASI

This research aims to determine the effect of tax incentives for investors to invest their capital in Indonesia and calculate how many tax incentives can be given to investors. Methodology, The method used is a literature review using multiple linear analysis econometric models. Meanwhile, to test the correlation between incentives and investment in the textile sector in 2020-2021. Results, the of multiple econometric model calculations with existing data, the tax incentive amount is 73.7, with an unpredictable random error (?). Meanwhile, from the correlation test, it was found that tax incentives do not affect investment in the textile industry sector.

Analisis Fundamental Makro, Kebijakan Manajemen, Struktur Modal Kinerja Keuangan Terhadap Nilai Perusahaan dengan GCG Sebagai Moderasi pada Perusahaan Manufaktur Sektor Tekstil dan Garmen Yang Terdaftar di BEI

This study aims to evaluate the effect of macroeconomic fundamentals and management policies on company performance with capital structure and financial performance as intervening variables and the moderating role of Good Corporate Governance (GCG) in textile and garment sector manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2019-2023. The population in this study were all textile and garment sector manufacturing companies listed on the IDX. Data analysis techniques and hypothesis testing use statistical methods with a quantitative approach to test predetermined hypotheses. The results of this study indicate that macro fundamentals have a significant effect on financial performance and capital structure, but not on firm value. Management policy has a significant effect on financial performance and capital structure, but not on firm value. Financial performance has a significant effect on firm value, while capital structure has no significant effect. In addition, GCG does not moderate the effect of financial performance and capital structure on firm value. This study adds insight into the influence of macro fundamentals and management policies on firm value and the moderating role of GCG in the context of textile sector companies in Indonesia.

Digital and Sustainable Transition in Textile Industry through Internet of Things Technologies: A Pakistani Case Study

The textile industry, a vital contributor to Pakistan’s economy, faces pressing challenges in transitioning towards sustainability amid global environmental concerns. This manuscript presents a comprehensive case study on the implementation of IoT-driven strategies in the Pakistani textile sector to achieve digital and sustainable transformation. The findings reveal that the implementation of IoT technologies facilitated real-time environmental monitoring, enabling compliance with regulatory standards, and fostering sustainable manufacturing practices. Ultimately, this manuscript offers valuable insights into the transformative potential of IoT technologies in driving sustainable practices in the textile industry. The case study serves as a benchmark for other textile-producing regions aiming to embark on a digital and sustainable journey. These findings hold significant implications for the ongoing dialogue on sustainable industrial development, providing valuable direction for policymakers and stakeholders in shaping a more resilient and ecologically conscious future. Future research should prioritize addressing issues like data confidentiality and interoperability while adhering to standard requirements. Additionally, exploring analytics and machine learning methods for predictive maintenance, optimized performance, and operational improvement is crucial.

Drivers for and barriers to circular economy transition in the textile industry: A developing economy perspective

AbstractIncreasingly, pressing sustainability issues including the rise in greenhouse gas (GHG) emission rates, climate change‐related vulnerabilities, and natural resource depletion have propelled companies to transition from a linear economy to a circular economy (CE). While circular business models are gaining currency in the manufacturing sector, empirical research on CE transition in the continuous process industry in developing economies is scarce. Accordingly, the purpose of this study is to investigate the drivers and barriers of CE adoption in the textile industry of Pakistan. To this end, we utilized a qualitative methodology, and a total of 22 semi‐structured interviews were conducted with consultants and senior corporate managers working in the textile sector. Building on the natural resource‐based view (NRBV) and institutional theory, the findings revealed various internal drivers (resource efficiency‐related, organization‐related, and research and innovation‐related factors) and external drivers (market, regulatory, and societal factors) for CE transition. Additionally, the findings demonstrated internal barriers including behavioral, technical, and economic issues, and external issues such as customer and brand‐related barriers, regulatory and policy‐related barriers, as well as supply chain‐related barriers hindering the adoption of CE. We argue that it is one of the early studies to utilize the NRBV and institutional theory to examine the drivers and barriers and provide novel insights into the CE transition in the textile process industry in a developing economy. The findings can assist academics, consultants, practitioners, and policymakers to understand and promote CE as a sustainable strategy in the textile process industry.

Investigation of water and carbon footprint reductions employing best available techniques in the textile sector

This study includes a new approach in terms of connecting best available technique (BAT) selection/decision to water and carbon footprint evaluations in addition to economical and environmental performance criteria. This new approach was applied to an integrated textile facility mainly employing cotton fabric finishing and printing-dyeing. After potential implementation of selected 12 BATs, the reduction potentials in the existing water/carbon footprints were calculated. The blue water, grey water and total water footprint values of the facility were found to be 126, 837 and 963 L/kg product, respectively. The total carbon footprint value of the facility was found to be 7.011 kg CO2eq/kg product, and most of this comes from steam use. The optimization of resin regeneration frequency/duration and washing-rinsing steps in the water softening system via online hardness sensors provides 20–30% reductions in blue water footprint values. It was calculated that when BATs from 1 to 7 together are implemented in the facility, an average of 68.5% reduction in the total water footprint could be achieved. Alternatively, when BATs 1–5 and 8 are implemented, such reduction is 45.6%, highlighting the effectiveness of the selected BATs. BAT 9 exhibited the highest reduction in total carbon footprints due to the fact that it is related to minimization of energy losses. If all selected BATs are to be implemented in the facility, a reduction of 1.179 kg CO2eq/kg product could be achieved in the total carbon footprint, corresponding to 16.8% reduction. Significant reductions in energy consumption could be achieved through techniques/applications such as isolation of hot surfaces, reducing reprocesses by improving dyehouse-laboratory coordination, optimizing recipes and applying correct dyeing techniques at once, making lighting systems efficient, process modifications/optimizations in pre-treatment and final finishing processes, and reducing water consumption in processes requiring hot water. This study indicated that selection and application of BATs in industries should be coupled with water/carbon footprint evaluations.

Investigating the Digital Transformation Level Across Industrial Dimensions

Digital transformation drives operational efficiency, customer interaction and innovation. Hence it is necessary for industries to adopt digitalization in order to remain in competition with the global world. Hence, the present study investigated the factors influencing digital transformation within the textile industry, focusing on the roles of industry type, size, and sustainability concerns within industry. Using multinomial logistic regression, the study analyzed data from a sample of 124 textile companies of Pakistan to assess the impact of these factors on different levels of digital transformation. The industry size consists of small, medium and large industries while type of enterprises comprises of spinning, weaving, dying and printing. The digital transformation is classified into four levels in the present study, referring to as traditional, limited, moderate and high. Our results demonstrated that industry type, size, and sustainability concerns significantly impact digital transformation within the textile sector and it was observed that moderate level of digital transformation was found in many industries followed by limited and traditional level where as high level of transformation was found to be lacking, which indicates a strong need for policy making and initiatives in this regard. This research contributes to our understanding of digital transformation dynamics in the textile sector and offers directions for future research in broader contexts.

Empowering SMEs for the digital future: unveiling training needs and nurturing ecosystem support

ABSTRACT Previous studies show that digital transition brings several benefits and challenges for companies. Among those challenges, particularly for Small and Medium-sized Enterprises (SMEs), the main one is increased capacitation, from technical roles to management. Considering this, the main objective of this study is to identify the training needs and the ecosystem support in the face of the digital transition for Portuguese manufacturing SMEs. Semi-structured interviews were conducted with industry experts and company professionals in the automotive and textile sectors. It was concluded that all workers, from technical roles to middle and top management, need more digital capabilities and would benefit from training programmes. The most desired areas for training are data science, virtualisation skills, quality assurance, technical training, and soft skills. The preferred format is physical (or hybrid at most) during working hours and with theoretical training before on-the-job learning. Both industrial companies and experts believe in the value of involving external entities in the training of employees, with the three most referred entities being technology and interface centres, universities, and business associations.

Effect of Initial pH for the Decolouration of Methylene Blue in Aqueous Solution Using Nanocellulose From Durian Husk

An effective strategy for ensuring the long-term availability of accessible resources involves the utilisation of green technology that integrates plentiful resources like cellulose. Cellulose has numerous qualitative advantages, such as being biodegradable, eco-friendly, biocompatible, and rich in hydroxyl (OH) groups. Consequently, cellulose supplies are plentiful and may be replenished in the environment. Thus, cellulose is commonly employed in the packaging, healthcare, and textile sectors. An investigation was conducted to examine the impact of the initial pH on the process of decolorizing methylene blue. The data reveals that a pH level of 44.4% exhibits worse performance compared to a higher pH level. Specifically, a pH level of 7 achieves a maximum decolouration of up to 98%. The study employed methylene blue (MB) as a model for the adsorption investigation. The results of this study suggest that cellulose nanofibrils (CNF) obtained from durian husk possess favourable characteristics as an adsorbent material or as a framework for the immobilisation of nanoparticles for use in nanoelectronics applications, which is a subject of interest.

Collaborative governance and personal relationships for sustainability transformation in the textile sector

This paper explores the potential for collaborative governance in the textile sector to act as a catalyst for sustainability transformation. The article originated from a 4-year research project examining a multi-stakeholder initiative (MSI), the German Partnership for Sustainable Textiles. It sheds light on the complex but interdependent connections between collaborative governance and personal relationships. While emphasising the role played by MSIs in creating important space for negotiating interests, it points towards the co-benefits of building relationships beyond stakeholder boundaries. Obstacles such as governance structures and the fragmentation of the governance landscape hinder opportunities for personal, political, and practical transformation. While highlighting the importance of private governance, it also stresses the role of state regulation in global economies, e.g. in the current debate on the EU Due Diligence Act. Finally, suggestions are made for designing governance spaces that support the development of social relationships while promoting transformation by ensuring the equal participation of stakeholders, employing learning and facilitation experts, and promoting joint decision-making processes.

Singing the same environmental song: transmission of green HR signals from supervisors to subordinates through multilevel modeling

PurposeTo comprehend the influence of green HR practices (GHRM) on employee outcomes, strategic HRM researchers are gradually adopting an employee-centric approach, a subject that has sparked recent discussions among scholars in the field of green HR. These scholars have emphasized the need for studies that shed light on the reasons behind the differences in employees' perceptions of GHRM. To address this concern, we investigated (1) supervisors perceived GHRM (SUP-GHRM) and subordinates perceived GHRM (SUB-GHRM) as the fundamental source of variation in employee eco-friendly behavior and green performance, (2) the association between SUP-GHRM and SUB-GHRM, (3) the mediation role of SUB-GHRM toward green performance and eco-friendly behavior, and (4) the moderation of perceived HRM system strength (HRMSS) on supervisor-subordinate perceived GHRM.Design/methodology/approachApplying a survey approach, we collected data from 217 supervisors and 624 subordinates from Large-Scale Manufacturing Organizations in the Textile sector of Pakistan. Since the data is hierarchical, we applied the Hierarchical Linear Model (HLM) and bootstrapping techniques to examine the hypothesized relationship.FindingsThe results of HLM revealed that (1) the SUP-GHRM and SUB-GHRM were key in determining green performance and eco-friendly behavior, (2) the SUP-GHRM significantly influenced SUB-GHRM, (3) the SUP-GHRM indirectly affected the eco-friendly behavior and green performance through SUB-GHRM, (4) the HRM system’s strength positively moderated the association between the SUP-GHRM and SUB-GHRM.Practical implicationsThe corporations need to ensure that both supervisors and subordinates have a consistent understanding of GHRM practices and foster positive relationships between them. It is also important for companies to actively enhance supervisors' knowledge of GHRM and encourage them to effectively communicate the company’s GHRM practices to their subordinates. This is vital for improving employee job-related outcomes. Furthermore, corporations should emphasize developing a strong HRM system designed to create a climate where employees understand the behaviors and responses that are valued and recognized, leading them to perceive situations in line with their managers.Originality/valueThis study suggests SUP-GHRM and SUB-GHRM as critical factors that influence eco-friendly behavior and green performance, and HRMSS is key to aligning the perception gaps between subordinates and supervisors about what GHRM is in place in their organization, which is empirically analyzed in a developing country context.

Development and Promotion Countermeasures for Export Growth of Pakistan Textile Products

Pakistan's textile industry is vital to GDP, employment, and exports. Pakistan is strategically located in the global textiles and apparel market due to its large production and export capabilities. This sector struggles with inconsistent product quality, market barriers, high global standards, and protectionist trade policies in wealthy nations. Addressing these issues is essential for industry growth and global competitiveness. This study identifies these challenges and proposes strategic solutions to improve export performance and global competitiveness to boost Pakistan's textile sector's economic stability and growth. A thorough mixed-methods strategy integrating qualitative and quantitative research methodologies was employed in the study. By conducting surveys by websites and literature reviews related to the industry, we were able to gather primary data. We also used secondary sources such as government reports, trade journals, and trade organizations to compile our data. We used quantitative analyses in our study to determine how spending on R&D, technology upgrades, and quality control affected export performance. We looked at energy consumption, production, waste management, and export amounts in various industries of Pakistan. Improving export performance and meeting international standards requires investments in quality control, technology upgrades, and research and development, according to the study. It also lists the obstacles to entering certain markets and suggests ways to overcome them, such as through government assistance, sustainable practices, and vocational education and training. If Pakistan's textile industry follows these suggestions, it will become more competitive internationally.

Drivers and Barriers to Circular Economy Implementation: An Explorative Study in Pakistan’s Textile Industry

Currently, the Circular economy has gained significant attention from practitioners, academia and researchers during the last decade due to its potential environmental and social benefits. However, in the past meager attention was given to finding out the drivers and barriers to CE adoption in emerging economies including Pakistan. Consequently, this research work aims to explore the drivers and barriers to the implementation of CE initiatives in Pakistan’s textile sector. The explorative research method was used to identify key drivers and barriers at the micro-level implementation of CE within the textile Industry of Pakistan. The research design for this study includes quantitative methods. The self-administered survey questionnaire was used to gather the data. Study results show that “available technology” (34 per cent), “awareness” (19 percent) and “compliance with regulations and stakeholder pressure” (15 percent) and intellectual capital within the organization (7 percent) are the five top drivers. Likewise, “financial investment” (30 percent), “technical and technological capacity” (24 percent) “national and organizational policies” (17 percent) and “product quality” (16 percent) are the four top obstacles in the operation of CE initiative in textile sector of Pakistan. The study focuses only on Pakistani textile industries and therefore, proper indications are purely restricted to developing Asian countries. Existing work is the first in its type which has explored the key drivers and barriers in the implementation of CE initiatives at the concern stage within the textile industry in Pakistan. Accordingly, it will help to increase an understanding of the subject matter as well as enable to devise effective business policies by the practitioners for up-scaling CE.

Productive use of energy of women-owned micro-, small-, and medium-sized enterprises: Insights from food and textile businesses in selected African countries

This paper presents a descriptive study focusing on the productive energy use of women-owned micro-, small-, and medium-sized enterprises that operate in Africa's food and textile sectors. Through a multidisciplinary approach, combining primary and secondary data collection methods, and integrating quantitative and qualitative tools, this study examines the relationship between the gender-based ownership structure of enterprises (i.e., sole female, female-female, and female-male) and energy consumption patterns, including demand levels, carrier use, access type (on-grid or off-grid), and expenditure. Despite limitations in scope and sample size, the findings shed light on gender-specific productive use practices.Findings show that female-owned businesses primarily rely on single or dual energy carriers, contrasting with female-male enterprises, which typically employ two or more energy carriers. Fuel usage varies among ownership structures, with diesel, biomass, and liquified petroleum gas being notable choices. Increasing diversity in ownership correlates with heightened awareness of energy metrics and monthly demand for electric and mechanical power, with some of the latter correlation also observed for thermal energy. Moreover, as ownership diversity increases, energy expenditure per kilogramme of production output decreases. Some sole female-owned enterprises surpass 100 USD/kg/month, female-female partnerships may reach 100 USD/kg/month, whereas female-male co-owned enterprises remain below 10 USD/kg/month.Beyond contributing to understanding gendered productive energy practices, this research also emphasises the importance of gender mainstreaming in productive use and energy access interventions. It highlights the need for renewable energy solutions, capacity-building programmes, and further research to address efficiency and accessibility challenges faced by women entrepreneurs.

Academic insight for approaching the sustainability of the textile industry

Objective: Sustainability is gaining importance in the textile sector, but there is a lack of literature reviews using bibliometric techniques to provide a quantitative and comprehensive assessment of scientific output. This article aims to provide a current and systematic overview of previous literature on sustainability in the textile sector. To achieve this, a literature review on this topic is done and a model of analysis of the issues studied is presented.Methodology: A mixed-method approach combining bibliometric analysis and qualitative reflection was employed on a sample of 580 papers. Co-word analysis identified thematic clusters in the literature.Results: A general analytical model has been presented to provide a comprehensive and up-to-date review creating five key thematic research domains: Sustainable Development, Value Chain - Cellulose and Textile, Design Process, Circular Economy, and Sustainability. The model has also made it possible to evaluate the relationship of these areas with each other and identify other emerging themes.Limitations: The main limitations come from the methodology used. Future studies can complement the results obtained using additional techniques such as event analysis or case studies.Practical implications: This approach allows companies to focus their strategic decisionson sustainability practices. The findings provide insights for industry stakeholders to prioritise sustainability-related investments and initiatives and enhance operational efficiency.