With the continuing development of internet technologies, an increasing number of consumers want to customise the products they buy online. In order to explore the relationship between perception and purchase intent, a conceptual framework was developed that was based on the link between multisensory perception, positive emotions, and purchase intent in fashion e-customisation marketing. We discuss the outcomes derived from consumers’ experiences in fashion e-customisation and analyse the relationships between variables. Questionnaires were used to collect data for this quantitative study (n = 398 participants). The data was analysed using factor analysis, correlation analysis, and regression analysis. The findings contribute to the field of clothing e-customisation by identifying the effects of visual perception, haptic imagery, and auditory stimulation on arousal, and purchase intent. Visual perception and haptic imagery exerted a positive influence over dominance. We also identify the effects of arousal and dominance on purchase intent, and assess the mediating effects of these variables on visual perception, haptic mental imagery, and purchase intent. The results highlight how fashion e-customisation marketing strategies can be adopted by managers in order to increase positive emotions and how multisensory perception can potentially be used to influence consumers’ purchase behaviour.

In an effort to reduce the negative impact of clothing manufacturing on the environment, a number of international clothing brands have made strides towards engaging in more environmentally-sustainable behaviours. However, further research is still needed in order to understand the effects of these efforts on consumer perception and decision-making in the case of sustainable clothing. This study examines the role of visual information (VI) associated with sustainable clothing on a website, and the perceived intelligence of voice assistants (PIVA), in influencing consumers’ purchase behaviour (PB) when shopping online for sustainable clothing. 2656 valid samples were collected and analysed using correlation analysis, factor analysis, and regression analysis. The results indicate that VI and PIVA both significantly influence consumers’ positive attitudes and PB towards sustainable clothing. Furthermore, the significant effect of these two factors on PB, through positive attitude towards sustainable clothing, are moderated by knowledge of sustainability issues. This paper therefore provides theoretical implications for sustainable clothing online retailing by testing the relationship between relevant variables. The findings also contribute to brand retailers improving their consumers’ decision-making and strengthening the perception-behaviour relationship in sustainable clothing shopping.

After analyzing the organizational structure and communication of three original Chinese fashion clothing brands, researchers argue that collaborative design is useful for achieving a common goal, communicating, and sharing information among consumers and stakeholders from the brand. Researchers summarized the design process in three structure models as balanced group structure, unified group structure, and radial group structure. Based on the unified group structure, two experimental projects are adopted to examine how to keep communication working effectively in the brands’ organizational structure. The results and feedback from the two experimental projects show that collaborative design improved the quality of design service. The study proposes a communicating structure model and interacting with the consumer and group members (stakeholders) that contribute to the achievement of modular design and collaborative design system setup. The limitation of the study is that it has not covered all stakeholders of brands’ organizational structures and the model needs to be enhanced.

Although the advent of the Internet of Things (IoT) technology has benefited the progress of social life, the relentless pursuit of technological advancement cannot definitely lead to a sustainable increase in customer pleasure and happiness. During the design phase, happiness is often overlooked. Therefore, the objectives of this study are as follows: (1) to provide a comprehensive overview of the importance of sustainable happiness for the IoT product design and to propose 15 positive experience design strategies that can improve user happiness; and (2) to apply the 15 design strategies to the IoT product design practice and validate whether they can effectively guide the designers’ work. The research procedure consisted of four steps. First, qualitative data for developing the design strategies was collected through bibliometrics and expert interviews. Second, the propositions of the design strategies were reviewed, analyzed, and constructed using the qualitative research software program NVivo 20. Third, two researchers categorized the 15 strategy concepts into the four directions of positive experience design approaches for the IoT products. Fourth, we conducted a two-week design workshop to validate the feasibility of the design strategies. The results indicate that the 15 design strategies can effectively guide designers to create ideas that prioritize user well-being and allow for creative exploration in various directions. This paper enriches the IoT product design methodology, which can enhance the users’ sustainable pleasure, future goal achievement fulfillment, and social relationship well-being in the IoT era.

The pursuit of sustainable well-being is one of the research objectives of positive experience design. Therefore, this paper aims to provide an impact-centered, sustainable, positive experience design model. First, the literature review method was used to define the research status and concept of impact-centered, sustainable design. Second, an impact-centered, sustainable, positive experience design model was constructed, and relevant formulas for concept generation and evaluation were proposed. Third, design verification was conducted through a workshop. Finally, the technology acceptance model questionnaire was used to evaluate and discuss the design model. An impact-centered sustainable positive design model was proposed, which included the important impact dimensions of sensory experience and meaningful experience on users’ qualities of life at different levels: healthy living (pleasure index and health behavior), harmonious community (social connectivity and social contribution), and livable environment (living environment and environmental contribution). Based on positive experience-related theory, this study takes long-term impacts as the starting point for a sustainable, positive experience design, which helps designers generate design concepts from a systematic and long-term perspective.

The rise of Smart Wearable Health Products (SWHP) offers fresh perspectives on solving societal health issues in light of wearable computing and personalized healthcare. However, more investigation is needed to clarify the exact processes by which smart wearables affect users’ health results. To examine how the technological and esthetic components of SWHP affect users’ psychological processes and health promotion behaviors (HPB), the study uses a multidisciplinary approach to build a stimulus-organism-response (SOR) model. A total of 506 valid samples were gathered, and structural equation modeling was used to analyze the data. The findings show that data management, social interaction, and esthetic pleasure considerably impact users’ positive affect (PA) and that PA partially mediates their relationship with HPB. Besides, users’ self-efficacy and HPB are influenced by their perceptions of the technological and esthetic components. This study of the smart wearables’ function mechanism provides a novel direction for the growth of the health technology industry chain and helps designers to further improve users’ health-related usage and decision-making.