With the rise of the green economy and the increasing awareness of consumer sustainability, green marketing has become a global competition strategy adopted by the textile and apparel industry. This study explores key factors and challenges in green marketing to support the industry’s sustainable development. Using the PRISMA 2020 methodology, 54 studies were systematically reviewed to identify core themes: green marketing and branding, consumer behavior and green consumption, circular economy and sustainability, green supply chain management, and textile and fashion culture. The findings reveal that consumers’ understanding of green knowledge and corporate green branding strategies are key factors in the success of green marketing. This review integrates effective strategies for practitioners and new directions for future research. It also highlights the added value of green marketing in fostering sustainability and proposes a conceptual framework for industry application. By addressing gaps in existing research, this study provides actionable recommendations for bridging theory and practice in green marketing. Future research should investigate region-specific dynamics and further develop strategies to enhance the industry’s sustainability efforts. This work contributes to a deeper understanding of the interplay between green marketing and sustainable development in textiles and apparel.

Purpose: This study aims to integrate fall-protection function into the elderly clothing to meet both the daily life and fall-protection needs of the elderly people, thereby upgrading the performance of elderly clothing.Design/methodology/approach: This study identified the design strategies of elderly clothing using an Extended Kansei Engineering methodology. Extended Kansei Engineering methodology is a new design framework developed from the traditional Kansei Engineering methodology to meet the design requirements of the product-service system. This study focuses on the product section of product-service system design. According to the product design process of the Extended Kansei Engineering methodology, this study first collected and organized the design elements and Kansei words of elderly clothing. Then a questionnaire was designed using Semantic Differential Scale. Finally, the questionnaire survey was conducted and the collected data was analysed to understand the consumption preferences of elderly people. A total of 399 elderly people aged 65 and older provided valuable design insights for this survey.Findings: The research findings include the product design strategies for the development of elderly clothing, as well as a product prototype canvas and a product prototype elderly clothing developed based on the design strategies.Practical implications: The research findings can provide competitive design strategies for the development of elderly clothing, thereby upgrading the performance of elderly clothing.Social implications: This elderly clothing integrates fall-protection function to reduce the risk of injury for elderly people due to falls, thereby helping society alleviate the medical and healthcare pressure caused by falls for elderly people.Originality/value: The research findings can provide competitive design strategies for the development of elderly clothing. Furthermore, the Extended Kansei Engineering methodology introduced in this study can provide product and service designers with design methods that are more in line with the development trend of modern product-service system business models.

Design and use of wearable technology have grown exponentially, particularly in consumer products and service sectors, e.g., healthcare. However, there is a lack of a comprehensive understanding of wearable technology in consumer acceptance. This systematic review utilized a PRISMA on peer-reviewed articles published between 2014 and 2024 and collected on WoS, Scopus, and ScienceDirect. A total of 38 full-text articles were systematically reviewed and analyzed using bibliometric, thematic, and descriptive analysis to understand the technical functions of digital wearable products (DWPs) in consumer acceptance. The findings revealed four key functions: (i) wearable technology, (ii) appearance and design, (iii) biomimetic innovation, and (iv) security and privacy, found in eight types of DWPs, among them smartwatches, medical robotics, fitness devices, and wearable fashions, significantly predicted the customers’ acceptance moderated by the behavioral factors. The review also identified five key outcomes: health and fitness, enjoyment, social value, biomimicry, and market growth. The review proposed a comprehensive acceptance model that combines biomimetic principles and AI-driven features into the technical functions of the technical function model (TAM) while addressing security and privacy concerns. This approach contributes to the extended definition of TAM in wearable technology, offering new pathways for biomimetic research in smart devices and robotics.

Online shopping sales of men’s plain-color shirts have fallen in China. Improving the quality of shirts’ online titles can effectively increase click-through rates and transaction rates. The subjective evaluative adjectives (Kansei Words) in the online titles for styling and color design are the most attractive to consumers. This study uses Exploratory Sequential Mixed Method combined with Kansei Engineering. First, in the phase of qualitative data collection, through interviews and documents, researchers collect 90 subjective evaluative adjectives (Kansei Words). Second, in the phase of quantitative survey research, through questionnaires, card sorting, hierarchical cluster and quick cluster, researchers got Kansei semantical space and established four evaluation dimensions: utility evaluation, symbolic evaluation, design evaluation, and occasion evaluation. Finally, in Kansei semantical space and evaluation dimensions, the final 15 Kansei Words that consumers are most interested in are gotten to optimize the online title. That is, this study finds evaluative adjectives consumers are most interested in through Kansei Engineering. Based on this, consumers’ preferences can be found, and product titles can be optimized to increase sales. Besides, through the research process of Kansei Engineering and Exploratory Sequential Mixed Method, this study provided methodological references for other clothing research categories about consumers’ preferences.

The sales growth rate of men's plain-colour shirts dropped significantly online in China. Consumers first pay attention to the appearance design of clothing online. It only takes 7 seconds for consumers to determine a product, and the colour in its appearance design accounts for about 67% of the role. Thus, this study took the colour design of men's plain-colour shirts as an example in China, established the basic colour calculation scale and an algorithm model of group consumers' product preferences based on Kansei Engineering and scientific mathematics, to provide new sales ideas and methods for retailers and markets online. Firstly, this study obtained the crucial Kansei word pairs (emotional preferences) and colour design elements through interviews, literature, magazines and websites, word frequency statistics, card sorting and cluster analysis. Then, researchers established a basic colour calculation scale of cross-loading through Kansei Engineering and partial least squares (PLS). Finally, a recommendation set of products is obtained using the analytic hierarchy process (AHP), the weight of Kansei word pairs, and the distance calculation of comprehensive evaluation value based on consumers' emotional needs. That is, this study obtained consumers' aesthetic emotional preference for men's plain-colour shirts in China, colour design elements of shirts that are widely recognized and accepted, basic colour calculation scales, recommendation preferences algorithms and models for group consumers, and verified their effectiveness by PCA.

There has been a significant gap in the comprehensive literature review of teaching reform of design history in the Chinese context. In order to bridge this gap, the literature bibliometric method is adopted to review the existing research on design history curriculum reform based on the CNKI database. A keyword review perspective was used to clarify the existing topics in this field, as well as the hotspots of research. Our results reveal that design history, industrial design history and teaching reform are the three main topics that Chinese scholars are more concerned with. As a specific discipline of design history curriculum, curriculum reform of industrial design history is the hotspot of existing research, and teaching reform is an influential research direction.