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The recent surge of subscription box services calls for research to understand how consumers respond to curation services. This study aims to develop and test a theoretical model to predict consumer response to AI (vs human). Particularly, the authors tested the role of stereotyping in shaping consumer perception of creativity in this context while considering the contextual moderators, shopping goals (hedonic vs utilitarian) and product category (fashion vs meal).

Two preliminary studies and the main study (total n = 761) tested the assumptions and hypotheses of the study. Preliminary study 1 (n = 511 Amazon mTurk, online survey) confirmed consumer stereotypes of humans and machines. Preliminary study 2, a single-factor between-subjects online experiment (recommender: human vs AI), was conducted at a large Midwestern university in the US (n = 56). The main study was conducted as a 2(recommender: human vs AI) × 2(product: fashion vs meal) × 2(goal: utilitarian vs hedonic) between-subjects online experiment (n = 194, Amazon mTurk).

The results confirmed that consumers are more likely to follow recommendations made by a human more than recommendations made by AI and the perceived creativity of the recommender explained the effect. Significant differences across product categories and shopping goals of the consumers were observed, calling for attention to the context of consumption.

This study extends the understanding of consumers' responses to recommendations in curation subscription services by highlighting the role of perceived creativity of humans versus AI.

Consumers support local businesses as an ethical choice. However, consumer ethics researchers have not paid much attention to local consumption, limiting the understanding of why consumers believe local consumption is ethical. To address this research gap, this study aims to develop and test the theoretical model for local consumption decisions by integrating moral foundations theory and local–global identity literature.

An online survey of US adult consumers (n = 362) was conducted to test the theoretical model. A correlational structural equation model was used to analyze the data.

The results confirmed that consumers’ moral obligations to engage in local consumption are driven partially by pro-group moral foundations, and that this identity-based motivation is an intuitive predictor of local consumption behaviors. The findings of this study demonstrate that traditional ethical consumption frameworks that assume knowledge-based decision-making are not enough to explain local consumption, and provide arguments for the need to consider both moral intuitions and moral reasoning.

This study synthesizes two isolated streams of literature and presents an integrated model to holistically explain consumer motivations for local business support. Local consumption was rarely investigated and its unique characteristics were not fully understood in the context of ethical consumption. This study specifically focuses on local consumption, advancing our knowledge of this understudied consumer behavior.

This study examines how the locus of agency of brands' artificial intelligence (AI)–powered voice assistants (VAs) could lead to brand loyalty through perceived control, flow and consumer happiness under the moderating influences of brand image and voice congruity.

This study conducted a 2 (locus of agency: high vs. low) by 2 (brand image-voice congruity: congruent vs. incongruent) between-subjects experimental design. MANOVA, ANOVA and structural equation modeling (SEM) were conducted to test the hypothesized model.

ANOVA results revealed that human-centric (vs. machine-centric) agency led to higher perceived control. The interaction effect was significant, indicating the importance of congruency between brand image and VAs' voices. SEM results confirmed that perceived control predicted brand loyalty fully mediated by flow experience and consumer happiness.

This study provides evidence that the positive technology paradigm could carve out a new path in existing literature on AI-powered devices by showing the potential of a smart device as a tool for improving consumer–brand relationships and enriching consumers' well-being.

The purpose of this study is to develop and assess the effects of unified theory of acceptance and use of technology (UTAUT 2) constructs – effort expectancy (EE), social influence (SI) and hedonic motivation (HM) – on behavioural intention (BI), as well as the impact of innovation resistance theory (IRT) constructs – usage barrier (UB) and tradition barrier (TB) – on innovation resistance (IR) behavior in the context of digital zakat payment in Aceh. In addition, this study also examines how knowledge of fiqh zakat influences both BI and IR.

This was a quantitative study including 350 Acehnese persons who paid zakat online. This research used a Likert scale, and the sampling technique was purposive sampling applied for the Acehnese people. The research respondents were civil servants, private employees, BUMN employees (employees of State-Owned Enterprises), merchants, restaurant owners, professionals and other occupations who had paid professional zakat through a digital system mechanism. The data were analysed using partial least squares structural equation modelling.

This research found that the constructs built through the theory of UTAUT 2 explained the position of the EE variable, which had a significant effect on BI. On the other hand, the variable of SI and HM did not significantly affect BI in digital zakat payment. This finding demonstrated that BI significantly influenced actual usage (AU). UB and TB had no impact on IR, according to the theoretical framework developed by IRT. Yet, the knowledge about the fiqh zakat (KFZ) significantly affected the AU. In terms of the moderation role, the KFZ variable moderated the relationship between BI and AU. However, the KFZ variable did not moderate the relationship between IR and AU.

This research had limitations and could still be investigated further by involving a larger sample. This study does not include all UTAUT 2 and IRT constructs, but only involves UTAUT 2 and IRT constructs based on the phenomenon of digital zakat paying behavior in the people of Aceh.

This research had a managerial contribution and an evaluation of the use of digital zakat collection services in Aceh and zakat management institutions in various countries. The existence of significant EE should be a reference for zakat institutions to produce continuous payment applications with a higher level of convenience in the future. In addition, the government should encourage more organised fiqh zakat education in society to plan a more optimal zakat collection. The reason for this is that KFZ has been shown to moderate zakat intentions towards actual digital zakat payment behaviour.

The results of this study were then accommodated by the government to design a digital zakat collection system so that it resulted in optimising the collected zakat funds. The greater the zakat funds collected, the greater the economic impact and social resilience of the community was in the midst of the post-covid and global crisis.

This research provided an essential value in the aspect of collecting zakat funds, especially in the study of the behaviour of paying zakat digitally. The theory of planned behaviour predominated in earlier studies that investigated zakat-paying behaviour. Yet, this research was even more focused as it used the constructs of UTAUT 2 and IRT theory and applied the involvement of a moderator variable like fiqh zakat knowledge that was barely discussed.