This study investigates the role of information boundaries in organic food packaging and their impact on consumers' purchase intentions, aiming to uncover how packaging information design can drive sustainable consumption. Although previous research has extensively explored factors such as background color, shape, and positioning, the influence of information boundaries has received less attention. Through three experiments involving 766 participants, this study delves into the psychological mechanisms influencing sustainable consumption. Experiment 1 explores how information boundaries (presence vs. absence) affect purchase intention and confirms that health perception mediates this relationship. Experiment 2, using virtual brands to eliminate brand familiarity bias, further validates the positive effect of information boundaries on purchase intention through heightened health perceptions. Experiment 3 investigates the moderating role of certification label structures, showing that information boundaries enhance purchase intentions when ingredient-level cues are presented, whereas boundary-free designs are more effective for product-level cues. Our research demonstrates that driving consumer purchases of organic products through strategic packaging design contributes significantly to achieving sustainability goals. These findings provide actionable insights for businesses and policymakers aiming to develop packaging strategies that promote long-term sustainability and environmentally responsible consumer behavior, ultimately contributing to the achievement of global sustainable development goals.

Product uniqueness in AI recommendation systems significantly impacts consumer perceptions and behaviors. However, existing research on how product uniqueness in AI recommendations influences consumer acceptance is relatively scarce. Grounded in self-determination theory and empowerment theory, this study adopts a field and between-subjects experimental design to explore the internal mechanisms and boundary conditions of how product uniqueness in AI recommendations affects consumer acceptance. The findings reveal that: (1) the higher the product uniqueness recommended by AI, the higher the consumer's acceptance of the recommendation; (2) the need for uniqueness moderates the relationship between product uniqueness and consumer acceptance of AI recommendations; (3) perceived expertise plays a moderated mediation role in the relationship between product uniqueness and consumer acceptance of AI recommendations. These findings offer valuable insights into the fields of AI and marketing, while also assisting companies and e-commerce platforms in effectively utilizing AI recommendations to enhance recommendation efficiency and strengthen marketing capabilities.

This study investigates the role of information boundaries in organic food packaging and their impact on consumers’ purchase intentions, aiming to uncover how packaging information design can drive sustainable consumption. Although previous research has extensively explored factors such as background color, shape, and positioning, the influence of information boundaries has received less attention. Through three experiments involving 766 participants, this study delves into the psychological mechanisms influencing sustainable consumption. Experiment 1 explores how information boundaries (presence vs. absence) affect purchase intention and confirms that health perception mediates this relationship. Experiment 2, using virtual brands to eliminate brand familiarity bias, further validates the positive effect of information boundaries on purchase intention through heightened health perceptions. Experiment 3 investigates the moderating role of certification label structures, showing that information boundaries enhance purchase intentions when ingredient-level cues are presented, whereas boundary-free designs are more effective for product-level cues. Our research demonstrates that driving consumer purchases of organic products through strategic packaging design contributes significantly to achieving sustainability goals. These findings provide actionable insights for businesses and policymakers aiming to develop packaging strategies that promote long-term sustainability and environmentally responsible consumer behavior, ultimately contributing to the achievement of global sustainable development goals.

As the United Nations Sustainable Development Goals advance rapidly, grasping the development status and differences in carbon neutrality across China’s provincial regions is crucial for interpreting the regional collaborative governance pattern under the circular economy initiative and promoting responsible production and consumption transformation. This paper constructs a research framework for the comprehensive evaluation and collaborative strategy of carbon neutrality. Using the Entropy Weight-TOPSIS, K-means clustering, and obstacle factor diagnosis models, the development status of carbon neutrality in 30 Chinese provinces is revealed from the perspectives of green economy, green politics, green culture, green society, and green ecology. Regional differences and critical obstacle factors are identified. Guided by the “Five-sphere Integrated Plan,” this study refines the carbon neutrality evaluation framework and fills an existing gap in the literature regarding the diagnosis of heterogeneous obstacles. It provides empirical evidence for the coordinated advancement of carbon neutrality. We find that (1) China’s overall carbon neutrality capability is relatively weak, showing a spatial pattern of “high in the east and low in the west” and a Matthew effect of “the strong getting stronger and the weak getting weaker.” The development levels of the subsystems vary markedly, with excellent and underperforming subsystems coexisting across different provinces. (2) The 30 provinces are classified as comprehensive leading, balanced-developing, policy-economy dual-driven, ecology-driven, and potential-oriented. (3) Overall, the key obstacle factors are low-carbon transportation, technology, and philosophy, yet these factors vary across the groups. To foster collaborative carbon neutrality promotion, policies should be implemented in the future based on different characteristics.

Classification experience, as an important way of product information recommendation in AI recommendation system, will have an important impact on consumers’ perceived behavior. Although there is a lot of research on intelligent recommendation, fewer existing studies have explored the impact of classification experience under AI recommendation on their willingness to continue to use it from the perspective of user experience. In this paper, based on the social exchange theory, we use the experimental method to collect data in three different AI recommendation scenarios (songs, novels, and shoes) to validate the mechanism of the influence of categorization experience on users’ willingness to continue to use the AI recommendation system, and reveal the mediating role of the users’ sense of being understood and the moderating role of the uniqueness demand. This study contributes to a better understanding of the different behavioral responses of users to different perceptions of AI recommendation results, and expands the use of AI in marketing.