Previous theories have suggested that consumers will be happier if they spend their money on experiences such as travel as opposed to material possessions such as automobiles. We test this experience recommendation and show that it may be misleading in its general form. Valence of the outcome significantly moderates differences in respondents’ reported retrospective happiness with material versus experiential purchases. For purchases that turned out positively, experiential purchases lead to more happiness than do material purchases, as the experience recommendation suggests. However, for purchases that turned out negatively, experiences have no benefit over (and, for some types of consumers, induce significantly less happiness than) material possessions. We provide evidence that this purchase type by valence interaction is driven by the fact that consumers adapt more slowly to experiential purchases than to material purchases, leading to both greater happiness and greater unhappiness for experiential purchases.

Through this article we examine ways through which consumers can take advantage of marketers' priming attempts and make better decisions. Specifically, we investigate what happens when individuals are made aware of primes that may potentially improve their performance. Using an Embedded Figures Test, we demonstrate that individuals can be consciously primed into an analytic thinking mindset and perform better when they believe that the prime will enhance performance. Individuals are able to successfully ignore the prime when they believe that the prime hinders performance. Utilizing both holistic and analytic primes and by alternating the valence of the prime's potential outcome, we are able to disentangle the conscious effects of primes from demand effects. We discuss how these findings may lead to and suggest avenues for future research.

PurposeThis paper aims to understand what kind of fashion product picture can arouse greater embodied mental simulation at two distinct steps of consumers' shopping journey (choice between options and purchase intention).Design/methodology/approachTwo experimental studies were developed. Study 1 (n = 169) investigated consumers' purchase intention, and Study 2 (n = 156) investigated consumers' choice for a T-shirt displayed in an e-commerce store. The authors manipulated the product picture by considering pictures with the presence or absence of a human model wearing the product (flat vs. mannequin vs. human model without a face vs. human model with a face).FindingsConsumers demonstrated greater choice and purchase intention for the picture that aroused greater embodied mental simulation. Different pictures aroused greater embodied mental simulation depending on the consumer journey step (choice between two options or purchase intention). Perceived product attractiveness influenced this finding.Research limitations/implicationsThe data on men and women were analyzed together due to the low number of male participants in both studies.Practical implicationsThe results suggest that mannequin pictures should be used in situations involving product evaluation (e-commerce categories' pages) and that pictures with human models should be used in situations entailing further analysis of the product (e-commerce product page) to encourage purchase decisions. E-commerce managers also need to use pictures of human models when the product is viewed as less attractive.Originality/valueThis research investigated embodied mental simulation around product pictures at two distinct steps of consumers' shopping journey.

Past research on product upgrades has focused either on understanding who and when will upgrade or on figuring out why consumers will upgrade, but seldom on all. It has also neglected the interplay between these matters with decision context and timing. This manuscript depicts a comprehensive approach where, for the first time, product characteristics, individual differences, process, and contextual variables are analyzed on a predictive model of real product upgrades, identified through the systematic collection of primary data from a panel of smartphone consumers. We tested one traditional linear logistic regression model and two types of non-linear, state-of-the-art machine-learning models (extreme gradient boosting and deep learning) to explain upgrading behavior. Results provide an integrative, yet parsimonious, product-upgrade model showing the importance of resources; news about the smartphone brand; sentimental value; predicted, current, and remembered enjoyment; update capacity; and how much the smartphone meets the user's current needs as the most relevant variables to determine which consumers are more prone to upgrade their smartphones. Our findings advance upgrade decision theory by taking a holistic approach to the phenomenon and bridging different theoretical accounts of the replacement decision literature.

Hedonic adaptation can explain why individuals enjoy their products less over time. One key feature of hedonic adaptation is its dependence on consumption repetition. Our research investigates when the perception of repetitive consumption leads consumers to predict faster hedonic adaptation (i.e., less enjoyment). We conducted four studies testing the impact of repetition on predicted enjoyment (Studies 1A and 1B), the interaction between repetition and assortment variety (Study 2), and the interaction between repetition and attention drawn by the product (Study 3). Results show that repetition leads consumers to predict less future enjoyment, weakens the effect of assortment variety on hedonic adaptation prediction, and strengthens the effect of attention drawn by product on hedonic adaptation prediction. Our results also show that consumers who predict less future enjoyment with a product are less likely to purchase this product. Overall, the findings advance knowledge on hedonic adaptation by presenting the impact of the most relevant feature of hedonic adaptation (i.e., consumption repetition) when it is made salient for consumers, and its interaction with common contextual cues.

This pre-registered work tests the replicability of seven studies covering the most important effects associated with mental accounting across 5,589 participants from 21 countries. Findings support the robustness of the original studies across time and culture, confirming the role of mental accounting as a critical driver of human decision-making.

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