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AbstractConsumers are widely adopting Artificially Intelligent Voice Assistants (AIVAs). AIVAs now handle many different everyday tasks and are also increasingly assisting consumers with purchasing decisions, making AIVAs a rich topic for marketing researchers. We develop a series of propositions regarding how consumer decision-making processes may change when moved from traditional online purchase environments to AI-powered voice-based dialogs, in the hopes of encouraging further academic thinking and research in this rapidly developing, high impact area of consumer-firm interaction. We also provide suggestions for marketing managers and policymakers on points to pay attention to when they respond to the proposed effects of AIVAs on consumer decisions.

Mental simulation is an important tool for managers who want consumers to imagine what life would be like if they engaged in positive consumption behaviors. However, research has found mixed effects of mental simulation on behavior. To understand this inconsistency, the authors conduct a meta-analysis to quantify the effect of different mental simulation prompts. This multivariate three-level meta-analysis of 237 effect sizes spanning four decades (1980–2020) and representing 40,705 respondents yields a positive but small effect of mental simulation on behavioral responses. Managers and researchers can amplify this effect by using dynamic visual inductions (e.g., augmented reality), inductions involving both visuals and verbal instructions, and repeated inductions spaced over time (e.g., weekly, akin to real-world marketing campaigns). Inducing simulations repeatedly but massed (e.g., using the same message at the same time across different platforms or retargeting ads) actually reduces subsequent behavioral performance. The authors explain the implications of these findings for theory and practice and identify novel avenues for research. [ABSTRACT FROM AUTHOR]

Are reviews with photos more helpful? If so, do consumers find reviews more helpful when photos and text convey similar or different information? This article examines the effect of content similarity between photos and text on review helpfulness and its underlying mechanism. Using a data set of 7.4 million reviews associated with 3.5 million photos from Yelp, and applying machine learning algorithms, the authors quantify the similarity of the content between text and photos. They find that, overall, photos increase the helpfulness of a review. More importantly, though, greater similarity between photos and text heightens review helpfulness more. The authors then validate algorithm-based similarity assessments with similarity perceptions of human judges. Using real-world reviews from Yelp and carefully designed stimuli, they replicate the core findings in five laboratory experiments. Further, testing the underlying mechanism, they find that greater similarity facilitates the ease with which consumers can process the review, which, in turn, increases that review's helpfulness to consumers. Finally, they show that factors that impede the ease of processing (e.g., language difficulty or poor image quality) can reduce the effect of similarity on helpfulness. These findings provide novel insights into the value of user-generated content that includes text and photos and its underlying mechanism. [ABSTRACT FROM AUTHOR]

Social media may encourage novel ways of signaling that involve different purchase types (experiential vs. material), signaling frequencies (multiple vs. single signals), and other features unique to social media (e.g. hashtags). This work examines how purchase signals are received on social media and how these signaling variations affect signal receivers' perceptions of the authenticity of social media posts as well as the overall impressions receivers form of the signal sender. Data collected across six experiments show multiple material purchase signals lead to more negative impressions compared to multiple experiential purchase signals. Signal receivers perceive multiple material purchase posts as less authentic, which dampens their impressions of the signal sender. In line with this mechanism, the impression premium of experiential purchase signals disappears when receivers use other cues (monetary mentions, other users' comments, and marketer associations via hashtags) to infer a signal's lack of authenticity. Additional data also document downstream consequences on engagement. This work contributes theoretically to research in both signaling and social media and improves the understanding of substantive situations in which consumers' objectives of curating a positive image and creating engagement with their posts, collide with marketers' objectives of encouraging user-generated content and word of mouth. [ABSTRACT FROM AUTHOR]

Prior to customizing for themselves, consumers often encounter products customized by other people within their social network. Our research suggests that when encountering a custom-made example of an identity-related product created by an identified social other, consumers infer this social other was motivated to express uniqueness. After making this inference, consumers are also motivated to express uniqueness, particularly when the example was created by a close versus distant social other. Consumers express uniqueness through their own customization choices, choosing fewer options shown in the example or choosing fewer best-selling options. Consumers sometimes even pay a monetary cost or sacrifice preferred choices in order to make their own product unique. Further, this effect dissipates when motivations other than expressing uniqueness are inferred about a social other (e.g. for functionally related products). Across eight studies that span different product contexts, involve real choices, and isolate the underlying theoretical mechanism (i.e. motivation to express uniqueness), our research documents the unique role of custom-made examples, demonstrates the importance of social distance for customization choices, and identifies a novel path explaining when and why individuals express uniqueness. [ABSTRACT FROM AUTHOR]

Consumers lose more weight when they log their food consumption more consistently, yet they face challenges in doing so. We investigate how the modality of food logging—whether people record what they eat by taking photos versus writing text—affects their anticipated and actual logging experience and behavior. We find that consumers are more likely to adopt and anticipate better experiences with photo-based food logging tools over text-based tools. However, in a weeklong field study, these expectations reveal themselves to be inaccurate; once participants start logging, they find taking photos (vs. writing text) to be more difficult, log less of what they eat, and are less likely to continue using the logging tool. These findings contribute to existing research on how people track goal progress, as well as persistence with and dis-adoption of products. Moreover, our findings provide insights into what might increase the use of products that encourage healthy eating. [ABSTRACT FROM AUTHOR]

This article explores the effects of two distinct retail choice architectures-those that organize assortments by attributes and those that organize items by benefits. Relative to attribute-based organizations, benefit-based organizations lead to more abstract construal and heighten similarity perceptions among items in an assortment. Such changes in similarity perceptions alter consumers' strength of preference among items: when choosing from benefit- as opposed to attribute-based organizations, consumers select lower-priced items and are more similarly satisfied with their top choice as with a lower-ranked option. Further, consumers' internal shopping objectives and orientations cued by the external organization may interact in ways that heighten similarity perceptions. Results suggest that abstract construal cues, regardless of whether they arise internally or externally, may dominate concrete cues in the type of shopping context under consideration. [ABSTRACT FROM AUTHOR]

Storytelling is important to how people construct reality and interact with others. This research contributes to our understanding of why some stories are evaluated more positively than others, specifically how truth-based labeling (TBL), stating the story is “based on true events,” influences evaluations. Past research has failed to find an unequivocal effect of knowing a story is true on a range of responses including enjoyment, transportation, and emotional reactions. We contend this was due to past work not considering how TBL might interact with the nature of the story itself. One aspect of the story is its typicality (i.e., whether story events fall within the parameters of our past and present experiences). We propose, and show, across experimental and correlational data, that TBL increases the perceived plausibility of a story and enhances the audience's response only when a story is low in typicality to begin with. Conversely, when events in a story are already high in typicality, TBL has little effect on the perceived plausibility of the story, and in turn how the audience responds. We further provide mediational evidence for perceived plausibility as the underlying mechanism. [ABSTRACT FROM AUTHOR]

Experiences are vital to the lives and well-being of people; hence, understanding the factors that amplify or dampen enjoyment of experiences is important. One such factor is photo-taking, which has gone unexamined by prior research even as it has become ubiquitous. We identify engagement as a relevant process that influences whether photo-taking will increase or decrease enjoyment. Across 3 field and 6 lab experiments, we find that taking photos enhances enjoyment of positive experiences across a range of contexts and methodologies. This occurs when photo-taking increases engagement with the experience, which is less likely when the experience itself is already highly engaging, or when photo-taking interferes with the experience. As further evidence of an engagement-based process, we show that photo-taking directs greater visual attention to aspects of the experience one may want to photograph. Lastly, we also find that this greater engagement due to photo-taking results in worse evaluations of negative experiences. [ABSTRACT FROM AUTHOR]

This work examines how people form evaluations of extended experiences that vary in valence and intensity. It is documented that when people retrospectively evaluate such experiences, not all information is weighted equally. Some prior research demonstrates that earlier parts are weighted more than later parts, while other research shows the opposite. In this paper we suggest that differences in evaluation tasks shift the focus to different aspects of the experience, causing individuals to be differentially influenced by earlier or later parts of the experience. We show that ratings of feelings (hedonic evaluation tasks) lead to stronger preferences for improving experiences than do evaluative judgments (informational evaluation tasks), suggesting that later aspects of the experience are weighted more heavily in affective tasks. In addition, we investigate other evaluation tasks, demonstrating that whether the task is descriptive or predictive and whether the target of the evaluation is the source of the experience or the experience itself also alter the weight given to different parts of the experience. Our studies demonstrate systematic shifts driven by these different evaluation task, revealing changes in overall evaluations as well as changes in the underlying weighting of key characteristics of the experience (i.e., start, end, and trend). Copyright © 2006 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]