As interactive marketing devices that serve as proximity-marketing tools, AI-powered voice assistants (VA) provide consumers with highly innovative convenience, which in turn fosters consumer–brand relationships (Wang, 2021). This research aims to explore the role of AI-powered VAs as a positive technology that offers consumers a sense of positive experiences, thus contributing to building a consumer-brand relationship. Based on the positive technology paradigm and transformation of flow strategy, this research conducted a 2 (locus of agency: high, machine-centric vs. low, human-centric) by 2 (brand image and voice congruency effect: incongruent vs. congruent) between-subjects experimental design. Then, ANOVA and structural equation modeling (SEM) analysis were conducted to explain how perceived control, flow, and happiness induced by the interaction with brands’ AI-powered VAs lead to the formation of brand loyalty under the moderating influences of brand image and VA’s voice congruency. A total of 316 participants were recruited via Prolific. The ANOVA analysis highlights the importance of user-centric agency, as people tend to desire to control their environment (White, 1959). Further, the results suggest that the congruency between brand image and VAs also leads people to positive reactions, as it improves their comfort and control (Rodero, Larrea, & Vázquez, 2013). SEM analysis results found that perceived control was a crucial factor that led participants to flow experience (Ghani et al., 1991). Further, this study found that perceived control could lead to a much broader aspect, such as an increase in happiness. Therefore, the overall study findings support the potential of AI-powered VAs as a positive technology. This research contributes to human-machine interaction, positive technology paradigm, and VA literature. In addition, this study provides beneficial insights for marketers and app developers.

Local consumption is considered to have a positive environmental and social impact. A new supply chain strategy has been devised to provide small and medium-sized local farms with enhanced efficiency and accessibility: a bidirectional distribution. Bidirectional distribution is a practice of backhauling local produce on emptied wholesale trucks for redistribution through wholesale markets while employing the existing network of rural stores and wholesale suppliers. Building on the cue utilization theory, this study investigated the effect of product information about bidirectional distribution on consumers’ perceived environmental value, personal well-being value, quality beliefs, and community social and economic value.

This research is an exploratory study that examined how users perceive and evaluate voice assistants differently from websites. Interviews revealed that users of voice assistants apply social norms to a machine. They used social perception descriptors and addressed the voice assistant as an autonomous, female agent and developed social relationships.