Humans have keen interests with artificial objects. We consume food and drinks containing artificial coloring while FIFA approves the use of artificial turf for football matches. However, the rise of artificial intelligence (AI) has gripped the world with its radical changes, triggering not only physical, but also philosophical implications. In this paper, we explore the impact of AI on the Sustainable Development Goals (SDGs) and pose the question of whether the human centrality of the SDGs could diminish with the introduction of AI. Drawing on Kant’s concept of universalism and categorical imperatives, we argue that AI cannot safeguard intergenerational justice or meet Kant’s definition of a rational being. This paper presents a brief yet significant perspective, emphasizing the need for caution when integrating AI into the implementation of the SDGs, particularly concerning policy design.
Economic diversification is a crucial response to the risks associated with resource dependence under conditions of global market volatility, geopolitical instability, and financial uncertainty. The study aims to identify the determinants of economic resilience and analyze diversification mechanisms in resource-dependent economies. The empirical analysis is based on panel regressions and descriptive indicators. The findings demonstrate that diversification based solely on expanding production sectors is insufficient without institutional quality, economic complexity, and digital governance. Evidence from Chile and Kazakhstan confirms the positive role of institutional reforms in structural modernization, while Saudi Arabia and Nigeria remain vulnerable due to persistent rentier economic structures. Integration into global value chains provides opportunities for technological development but also increases exposure to external risks. Investments in green energy and digital innovation are identified as key drivers of long-term sustainability. The study offers practical recommendations for designing national diversification strategies focused on resilience, competitiveness, and socio-economic stability.
This study examines the dark side of algorithm-driven recommendation systems in short-video social commerce, with a specific focus on sustainable food consumption. Drawing on the Stressor–Strain–Outcome (SSO) framework, the study investigates how greedy recommendation mechanisms reshape users’ information environments and influence their psychological and behavioral responses. Data were collected from 327 Vietnamese users with prior experience using short-video social commerce platforms and exposure to sustainable food-related content. The proposed model was tested using partial least squares structural equation modeling (PLS-SEM). The results show that greedy recommendations significantly increase three information-related stressors, including information overload, information redundancy, and information narrowing. Among these stressors, information overload and information redundancy exert stronger effects on emotional exhaustion than information narrowing. Emotional exhaustion, in turn, significantly increases resistance purchase behavior toward sustainable food. This study contributes to the literature by reframing digital food environments as ambivalent algorithmic environments that may both facilitate and undermine sustainable consumption. It also shows how algorithm-induced information stressors may hinder consumers’ willingness to engage with sustainable products. The findings provide important implications for platform design and sustainable food marketing strategies in emerging markets.
This research explores various factors that affect decision-making regarding sustainable purchases of environmentally conscious and halal-certified personal care products in Indonesia, specifically focusing on cosmetics, skin and body care products. The study aims to comprehend the cognitive, normative, and behavioral factors that influence purchasing intention and actual purchasing behavior. The variables included in this study were environmental and halal awareness, which also incorporated the Theory of Planned Behavior (TPB), such as attitudes, subjective standards, and perceived behavioral control. A cross-sectional study was used to collect data from 369 respondents from eight different cities in Indonesia. The data was analyzed using PLS-SEM (Partial Least Squares Structural Equation Modelling) to determine the variable’s direct and indirect impacts. The results demonstrate that both environmental and halal awareness are cognitive factors that substantially affect purchasing intention, which in turn has a moderate direct effect on purchase behavior. The moral, social, and Islamic religious framework are areas that need to be further researched to fully understand the potential impact of their role on purchase behaviour. Conducting the study in a Muslim-majority country contextualizes the significance of variables and emphasizes the importance of integrating religious and cultural factors to address sustainable consumer behavior, as well as providing a foundation for future research. These aspects offer a more precise evaluation of the field of study and yield insights into the policy alternatives and marketing tactics to be executed within this framework.
China’s sustainable development strategy urgently requires talent capable of harmonizing economic ambition with ecological responsibility. However, despite parallel promotion in higher education, Innovation and Entrepreneurship (IE) education and Ecological Civilization (EC) education often remain fragmented in practice, with no empirically tested integrative model available. Addressing this gap, this study aims to construct an integrated framework through an in-depth qualitative case study of the desert soilization project at Chongqing Jiaotong University. Employing document analysis, artifact examination, and outcome data for triangulation, the research delineates a replicable model comprising a three-tiered curriculum system (faculty empowerment, curricular infusion, specialized programs) and a dual-platform experiential ecosystem (on-campus research center, off-campus desert bases). Through a virtuous cycle of mission-driven motivation, interdisciplinary integration, and practice-informed feedback, this model systematically fosters students’ interdisciplinary knowledge, problem-solving capabilities, and green entrepreneurship competencies. Empirical findings demonstrate that the model not only enabled students to win a national innovation competition gold award and establish large-scale ecological restoration bases, but also significantly enhanced students’ project engagement and systemic ecological thinking. The study concludes that mission-oriented, project-based integration offers an effective pathway for universities to contribute to national sustainable development goals. It also discusses the model’s theoretical contributions to green entrepreneurship education, acknowledges single-case design limitations, and proposes future research directions.
