This research study aims to achieve a developing country’s sustainable development in the clothing industry by exploring consumer behavior to a willingness to purchase organic cotton clothing (OCC) and apparel retailers’ responsibilities. Organic cotton clothing development in the fashion industry could play an important role in textile and environmental pollution and create new business opportunities for green clothes. Survey data was collected from top cities in Bangladesh, and 303 useable responses were collected (81.5% male and 18.5% female). In our survey, 60.7% of the participant was employed. This research model was inspired by the Theory of Reasoned Action (TRA) and added some new variable that influences purchase willingness under OCC fashion in developing countries like Bangladesh. The findings of this study stated that consumer environmental concerns and consumer attitudes positively impact the OCC purchase willingness of Bangladeshi consumers. Also, the authenticity and fashionable of OCC products have a significant impact on Bangladeshi consumer purchase intention. Product Performance found an indirect effect on Bangladeshi consumers’ intention. Furthermore, this study will find that the Bangladeshi market is already very aware of the sustainability movement and concerned about environmental issues. Retailers should focus more on environmental awareness of OCC textile and authentic OCC items. Also, this study will update previous research findings on consumer attitudes toward OCC fashion in the Bangladesh market.

Along with the prevalence of green marketing, greenwash has also grown in the past decade. We investigated whether greenwash undermines consumers' brand loyalty, and how moral decoupling moderates this effect. Data were collected from a survey of 427 consumers, and the hypotheses were tested by regression analysis. The empirical results show that greenwash had a negative effect on consumers' brand loyalty, the effect of which was stronger at lower levels of moral decoupling. Thus, we recommend that brands eliminate the detrimental greenwash practice and increase the transparency of their environmental performance, and that governments and environmental organizations enhance consumer education to prevent moral decoupling.

Purpose: Drawing on social cognitive theory, this study aims to examine the relationship between supervisor developmental feedback and employee innovative behavior, incorporating with the mediating role of psychological safety and the moderating role of face orientation.Design/methodology/approach: A survey was conducted in 15 manufacturing companies in China. The participants comprised 302 employees. Hierarchical regression analysis was used to test the hypotheses. The mediating effects and the moderated mediating effects are further examined with bias-corrected bootstrapping method.Findings: Supervisor developmental feedback has a positive effect on employee innovative behavior through psychological safety, and this mediating effect is weakened by protective face orientation (fear of losing face), while the moderating effect of acquisitive face orientation (desire to gain face) is not significant.Practical implications: Organizations should create a development-oriented and safe innovation atmosphere for employees. In addition, leaders should adopt differentiated feedback and communication methods according to subordinates' face orientation.Originality/value: The study has demonstrated the positive effect of supervisor developmental feedback on employee innovative behavior, which is different from previous studies on performance feedback and leadership types. Meanwhile, this study has also explored the mediating effect of psychological safety and the moderating effect of face orientation, which provides more insights on the mechanism and boundary conditions of the effect of supervisor developmental feedback.

The rapid growth in the global apparel market and the rise of online consumption underscore the necessity for intelligent clothing recommendation systems that balance visual compatibility with personalized preferences, particularly price sensitivity. Existing recommendation systems often neglect nuanced consumer price behaviors, limiting their ability to deliver truly personalized suggestions. To address this gap, we propose DeepFMP, a multimodal deep learning framework that integrates visual, textual, and price features through an enhanced DeepFM architecture. Leveraging the IQON3000 dataset, our model employs ResNet-50 and BERT for image and text feature extraction, alongside a comprehensive price feature module capturing individual, statistical, and category-specific price patterns. An attention mechanism optimizes multimodal fusion, enabling robust modeling of user preferences. Comparative experiments demonstrate that DeepFMP outperforms state-of-the-art baselines (LR, FM, Wide & Deep, GP-BPR, and DeepFM), achieving AUC improvements of 1.6–12.2% and NDCG@10 gains of up to 3.2%. Case analyses further reveal that DeepFMP effectively improves the recommendation accuracy, offering actionable insights for personalized marketing. This work advances multimodal recommendation systems by emphasizing price sensitivity as a pivotal factor, providing a scalable solution for enhancing user satisfaction and commercial efficacy in fashion e-commerce.

Traditional ethnic handicrafts are important carriers of cultural memory and identity, yet their continuity is increasingly challenged by modernization and digitalization. Although digital technologies are widely used to support living transmission, a fundamental tension remains between the abstract logic of digital translation and the embodied experiential value at the core of craft practice. Existing research has not sufficiently explained how digitalization can promote cultural sustainability under this tension. This study develops a grounded theory explaining how digital transmission can support the cultural sustainability of traditional handicrafts. Adopting a constructivist grounded theory approach, it examines Heqing engraving craft in Yunnan and Jiangnan velvet-flower craft as contrasting cases, drawing on semi-structured focused interviews with 34 stakeholders. Through three-stage coding, the study develops a dynamic Subject–Means–Goal transformation model, in which craft cultural resources constitute the Subject, digital thinking functions as the Means, and craft cultural sustainability represents the Goal. The central finding is a feedback mechanism termed “derivatives nurturing the core,” based on a strategic differentiation between core and derivative layers. Through this mechanism, resources generated by digital derivatives are redirected to sustain costly and labor-intensive core craft practices. Authenticity is reconceptualized as dynamic management rather than static preservation. The model explains how different combinations of core-technique preservation and the overcoming of restrictive mindsets produce differentiated cultural-sustainability outcomes. The findings offer theoretical and practical insights into the dynamic sustainability of traditional handicrafts in the digital era.

The trade of second-hand clothing has caused double negative impacts in many regions of the world. On the one hand, it hinders the development of textile industry in importing countries, on the other hand, exporting countries lose a lot of renewable textile resources. Under the stimulation of real practice, this paper considers a closed-loop supply chain (CLCS) under a government reward and penalty mechanism. In order to reduce the export of second-hand clothing resources and promote remanufacturing, the government implements remanufacturing subsidies and export taxes. We establish a CLSC consisting of a manufacturer, a collector and a remanufacturer. We derive the optimal decisions of supply chain members under different government strategies, and the appropriate conditions for the use of government intervention. We find that remanufacturing subsidies and export taxes complement each other. The analysis of the optimal strategy shows that, although appropriate remanufacturing subsidies and export taxes can keep more second-hand clothing in China, it does not necessarily bring lower environmental impact. The environmental protection degree of remanufacturing also needs to be considered. Remanufacturing subsidies will only work if they are large enough. At this time, although the environmental impact increases, the environmental impact per economic welfare (EIPEW) decreases. Imposing export taxes is a policy that needs to be used cautiously. It is applicable only when the proportion of remanufactured products in the market is high. In some cases, it not only reduces social welfare, but also increases environmental impact.