Machinery investment decisions are complex, multi-criteria problems that require balancing cost, performance, and quality factors under uncertainty. This research introduces a linguistic multi-criteria decision-making (MCDM) method regarding machinery investments, integrating both qualitative and quantitative information in a structured computational framework. To ensure objectivity in the evaluation process, the entropy weighting method is employed to determine the criteria importance based on data dispersion. The proposed model enables experts’ linguistic judgments to be transformed into comparable numerical scales, allowing seamless integration with quantitative data in a single decision matrix. An empirical application to the laser cutting machine investment issue in the textile sector demonstrates the method’s effectiveness in ranking alternatives and reducing subjectivity in decision-making. Results show that the model provides transparent, reproducible, and computationally efficient evaluations. The study contributes to the broader industrial engineering literature by extending linguistic MCDM applications to machinery investment decisions, offering managers a systematic and data-driven tool for complex capital allocation problems.
Agricultural textiles protect crops from detrimental weather and pests while promoting sustainable agriculture. This research introduces an innovative nonwoven polypropylene (PP) fabric directly incorporated with silicon dioxide (silica) to diminish pesticide application. Silica acts as a physical insecticide by disrupting pests’ protective wax coatings, offering an alternative to chemical pesticides that harm the environment and human health. UV-stabilized and non-stabilised polypropylene textiles were treated with silica at concentrations of 2%, 3%, and 5%. Essential qualities were evaluated, encompassing air permeability, tensile and tear strength, ageing resistance, and thermal stability (FTIR, DSC, TGA). SEM and EDS studies validated the presence and dispersion of silica. The findings indicated that silica diminished air permeability, thereby aiding in the retention of soil moisture and safeguarding plants. Although tensile and tear strength experienced minor reductions (up to 11% and 25%, respectively), the textiles continued to perform satisfactorily. Thermal investigations revealed slight alterations in decomposition temperatures. SEM–EDS showed that silica was evenly spread out but decreased a bit after ageing, suggesting that better fixing is needed for longer use. This direct incorporation of silica enhances pest control efficacy and UV resistance without dependence on chemical pesticides. The method promotes sustainable agriculture by improving crop protection and mitigating environmental hazards. Future research should concentrate on enhancing silica retention and conducting tests in actual field settings to create more robust agricultural textiles.
Economic and technological developments in recent years have facilitated the introduction of counterfeit products into the market. The spread of counterfeit luxury apparel has brought on both legal and economic challenges for the global textile industry. This study examines the mediating role of attitude in the relationship between consumers’ need for uniqueness and their purchase intentions for counterfeit luxury apparel products in Türkiye, a country with a high circulation of counterfeit products. Data from 365 Turkish participants collected via an online survey were analysed using Structural Equation Modelling (SEM). The findings indicate that the NFU significantly increases positive attitudes toward counterfeit apparel, and these attitudes are a strong predictor of purchase intentions. The lack of a significant direct relationship between the NFU and purchase intentions suggests a full mediating effect of attitude. These findings explain why individuals purchase counterfeit luxury apparel and suggest an argument for promoting ethical and sustainable luxury products.
This study adopts the Kano-HOQ method to address the gap between the consumption demands of female suit consumers and the market supply, improving the satisfaction of female suit consumers and the precision of market response. Firstly, 20 product demand factors influencing the consumption decisions of female suit consumers are extracted, classified and analysed according to Kano attributes. Then, based on the importance of each demand factor to the users, the comprehensive satisfaction of each consumption demand is calculated. The consumption demands of female suit consumers are transformed into 4 primary design requirements and 16 secondary design requirements. These are then input into the House of Quality (HOQ) model to determine the correlation between user demand factors and design requirements. Finally, by calculating the matrix, the weight values of each design requirement were determined, and they were ranked accordingly. The study summarised the consumer demand items and product design technical elements that should be prioritised for improvement in the female suit product design process. The research indicates that priority should be given to aesthetic appeal on the visual level in the design process of female suits, such as style, structure, colour, and patterns. At the same time, attention should also be paid to the personalised characteristics of the product, ensuring that it matches the individual demands of users. This approach aims to enhance user satisfaction and better fulfil consumer demands.
Technological innovation efficiency is a pivotal metric for assessing a firm’s innovation capability, and equity structure is a key determinant shaping it. This study investigates this relationship within China’s listed textile sector (Shanghai and Shenzhen A-share markets, 2013–2024). To isolate the true managerial performance, we employ an integrated three- stage Data Envelopment Analysis (DEA) model that purges the effects of external environmental factors and statistical noise. Subsequently, a Tobit regression is used to test the impacts of distinct equity governance mechanisms. The main findings are: (1) External environmental factors significantly inflate initial efficiency measurements; after purification, the overall decline is primarily driven by reduced pure technical efficiency, highlighting managerial practices as the critical bottleneck. (2) The adjustment reveals divergent paths: state-shareholding firms show improved efficiency mainly through scale efficiency, whereas non-state-shareholding firms exhibit a decline due to deficiencies in pure technical efficiency. (3) Regarding equity structure, ownership concentration, equity checks and balances, and institutional ownership all significantly promote technological innovation efficiency. In contrast, the mere presence of state shareholding exerts no statistically significant direct effect. These findings underscore that internal governance mechanisms, rather than ownership labels, are decisive for driving innovation efficiency in traditional manufacturing industries transforming.
