Ensuring sustainability through green supply chain management practices has become challenging for the textiles and garments industry. Organizations need to examine the factors of the firm’s sustainability performance and how to manage them strategically. Hence, the strategic organizational orientation can be the best approach for implementing green supply chain management (GSCM) practices to improve firm sustainability performance. This study aims to assess the impact of strategic orientation in three dimensions, such as green entrepreneurial orientation (GEO), market orientation (MO), and knowledge management orientation (KMO) on the implementation of green supply chain management (GSCM) practices and the subsequently sustainable firm performance. Data were gathered from an extensive scale survey of 266 respondents of textile manufacturing firms in Bangladesh. Data were analyzed in the structural equation model (SEM) with partial least squares techniques to justify the proposed hypotheses. The results reveal that GEO and MO have a significant positive effect on GSCM practices, affecting sustainable firm performance. Surprisingly, KMO does not have a positive impact on GSCM practices. Further, this study reveals that GSCM practices partially mediate the relationship between GEO and sustainable firm performance while MO and KMO partially mediate the relationship between GEO and GSCM practices. Overall, findings help textiles firm management comprehensively understand the implementation strategies of GSCM practices in operations and reconfigure accordingly in the competitive business environment while improving firm performances. This study is the first to investigate the effect of strategic orientation on GSCM practices implementation in the textiles industry from the context of an upstream operation with a comprehensive understanding of the factors while reducing environmental impact.

Smart wearable electronic textiles (e-textiles) that can detect and differentiate multiple stimuli, while also collecting and storing the diverse array of data signals using highly innovative, multifunctional, and intelligent garments, are of great value for personalized healthcare applications. However, material performance and sustainability, complicated and difficult e-textile fabrication methods, and their limited end-of-life processability are major challenges to wide adoption of e-textiles. In this review, we explore the potential for sustainable materials, manufacturing techniques, and their endof-the-life processes for developing eco-friendly e-textiles. In addition, we survey the current state-of-the-art for sustainable fibers and electronic materials (i.e., conductors, semiconductors, and dielectrics) to serve as different components in wearable e-textiles and then provide an overview of environmentally friendly digital manufacturing techniques for such textiles which involve less or no water utilization, combined with a reduction in both material waste and energy consumption. Furthermore, standardized parameters for evaluating the sustainability of e-textiles are established, such as life cycle analysis, biodegradability, and recyclability. Finally, we discuss the current development trends, as well as the future research directions for wearable e-textiles which include an integrated product design approach based on the use of eco-friendly materials, the development of sustainable manufacturing processes, and an effective end-of-the-life strategy to manufacture next generation smart and sustainable wearable e-textiles that can be either recycled to value-added products or decomposed in the landfill without any negative environmental impacts.

Natural fiber reinforced composites (FRC) are of great interests, because of their biodegradability, recyclability, and environmental benefits over synthetic FRC. Natural jute FRC could provide an environmentally sustainable, light weight, and cost-effective alternative to synthetic FRC. However, the application of natural jute FRC is limited because of their poor mechanical and interfacial properties. Graphene and its derivatives could potentially be applied to modify jute fiber surface for manufacturing natural FRC with excellent mechanical properties, and lower environmental impacts. Here, we review the physical and chemical treatments, and graphene-based modifications of jute fibers, and their effect on mechanical properties of jute FRC. We introduce jute fiber structure, chemical compositions, and their potential applications first. We then provide an overview of various surface treatments used to improve mechanical properties of jute FRC. We discuss and compare various graphene derivative-based surface modifications of jute fibers, and their impact on the performance of FRC. Finally, we provide our future perspective on graphene-based jute fibers research to enable next generation strong and sustainable FRC for high performance engineering applications without conferring environmental problems.

This study helps to inquest the factors which affect the buying behavior of consumers towards foreign and domestic branded apparels. The data was collected by distributing the globally accepted structured questionnaire among the respondents who are presently living in Dhaka Metropolitan city and regular buyers of apparels of different brands-foreign or local. Convenience sampling method was applied with a sample size of 200 consumers for data collection. Descriptive statistics were used to analyze the research objectives. The result of this study offers sagacity and evidence about the relationship between the components which impact consumer buying behavior for branded apparels. This study provides a clear understanding of each factor in the local consumer decision-making process for buying from any branded clothes. As the consumer has globally looked forward for using foreign branded clothes aside by domestic one, it now seems that the apparel manufacturers and marketers need to expand their own brands. Finally, it is settled in the this study that many factors are connected for buying apparels regarding brand performance, purchase intention, consumer’s evaluation alongside consumer’s demographic and economic factors.

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