This study explores the impact of artificial intelligence (AI) tools on the purchase intentions of members of Generation Z (Gen Z) in online shopping, using an adapted technology acceptance model (TAM). It incorporates exposure to AI, usage of AI, and knowledge about AI, alongside the existing TAM parameters of perceived usefulness of AI (PUAI) and perceived ease-of-use of AI (PEUAI). A 38-item questionnaire was distributed, yielding data from 1128 Gen Z respondents. Partial least squares structural equation modeling (PLS-SEM) and importance–performance analysis (IPA) were applied to examine the hypothesized relationships. The study identified significant direct effects of exposure, use, and knowledge on PUAI and PEUAI, and that these effects affected consumers’ purchase intentions. Indirect effects analysis revealed that PUAI and PEUAI mediate between AI exposure, use, knowledge, and purchase intentions, suggesting that greater understanding of and familiarity with AI enhance the propensity to engage in AI-powered online transactions. The ease of integrating AI into daily life and perceived AI utility enhance purchase intentions. The study offers insights for online retailers leveraging AI technologies in an effort to enhance consumer purchase experiences, emphasizing the potential of AI to positively influence choices while enhancing trust, familiarity, and the overall user experience.

The issues of tourism sustainability and urban development have become major priorities for public policy makers across the globe. Today, maybe more than ever, there is a need for managing sustainable tourism development, and this cannot be attained without taking into account environmental problems and their global dimension. Various problems and requirements of society and of the development of urban areas may be solved by transforming the cities into attractive tourist destinations. Therefore, this study explores how sustainable tourism development in urban areas can be basically achieved and managed. The paper discloses some success factors for managing sustainable tourism development in urban areas and emphasizes a case study regarding Bucharest, the capital of Romania, as a tourist destination. The originality and value of this study consist of identifying the main ways of developing sustainable tourism in Bucharest based upon empirical research conducted with the aid of a survey. The findings of this study may be helpful for upcoming research in the area of managing sustainable urban tourism development.

The increasing commitment to sustainable consumption has intensified the scholarly focus on the determinants of environmentally friendly consumer behavior. This investigation provides an insight into the intricate interplay between green consumer values, functional (FV), conditional (CV), social (SV), and emotional (EV), and their impact on buying behavior (BB). Using survey data, we scrutinized the mediating roles of attitudes toward purchasing green products (APGP) and receptivity to green communication (RGC). Using partial least squares structural equation modeling (PLS-SEM), the empirical analysis yielded a mix of supported and unsupported claims about the mediation effects on the relationship between consumer values and buying behavior. Direct effects of FV on BB were significant, but the indirect effect through APGP was not, suggesting that APGP does not mediate the relationship between FV and BB, and that consumers’ functional value perceptions influence their buying behavior independently of their attitudes toward green products. Both direct and indirect effects of EV and FV on BB through APGP and RGC were significant, suggesting partial mediation. The results suggest that APGP and RGC partially mediate the effects of EV and FV on BB but do not mediate the effects of CV and SV on BB. Comparing these findings with previous research, we observe some parallels and divergences. Our study confirms the significant direct effect of FV on buying behavior, consistent with previous studies that underscore the importance of tangible benefits in influencing consumer decisions. Furthermore, the significant direct and indirect effects of EV on BB and APGP in our results are consistent with previous research, suggesting that emotional factors play a decisive role in green purchasing behaviors. However, factors such as CV and SV were found to have no impact in our research compared to previous studies. These discrepancies suggest that while CV influences attitudes, it may not strongly influence purchasing behavior through the mediating constructs in our model. Furthermore, the results imply that social factors may influence attitudes but do not necessarily translate into actual purchasing behavior in our context. Our study also reveals that RGC plays a substantial role in influencing buying behavior, indicating a significant total effect greater than indicated in previous research. These insights illuminate the complex mechanisms by which consumer attitudes and communication receptivity shape eco-conscious purchasing choices. Theoretical contributions enrich the discourse on green consumer behavior, while practical implications guide marketers in crafting communication strategies that resonate with consumer values and attitudes, thus fostering sustainable consumption patterns.