Research Feed

This systematic review of 16 studies (2020–2025) examines how the Big Five traits relate to online shopping and related digital behavior. Conscientiousness protects against impulsive and compulsive buying, while neuroticism is the strongest driver of both, including panic buying. Extraversion shows the broadest influence, notably on sharing information on social media. Openness encourages exploratory behavior, such as using online reviews. Agreeableness is the most context-dependent trait. Findings vary across cultures, and impulsive buying dominates the research.

The study found that among 451 Turkish campers, Big Five personality traits collectively predicted both leisure activity involvement and behavioral loyalty (repeat campsite visits). Specific trait-level findings indicated that emotionally stable individuals were more likely to revisit familiar sites, viewing challenges as adventure rather than stress. Conscientious campers favored reliable, safe sites and showed stronger loyalty, while extraverted campers were drawn to socially active settings. Those higher in openness tended toward variety-seeking, potentially weakening loyalty. Agreeableness supported loyalty when group dynamics and service quality were positive. Leisure involvement mediated personality's effect on loyalty, and this pathway was amplified when place dependence was high.

Using PLS-SEM with 530 Chinese participants, this study models how Big Five traits shape adoption of AI-powered financial robo-advisors via perceived intelligence and anthropomorphism. Conscientiousness, extraversion, and agreeableness positively influenced both AI perceptions and adoption directly; neuroticism negatively affected perceptions, impacting adoption indirectly through anthropomorphism. Surprisingly, openness had no significant effect, suggesting financial decision-making contexts prioritize reliability over novelty-seeking tendencies.

Using Big Five personality traits and Latent Profile Analysis, this study segments South Korean robotic café customers into two profiles: "Mindful Consumers" (higher neuroticism, lower openness) and "Future-Forward Consumers" (higher openness, extraversion, agreeableness). The latter reported stronger emotional engagement and word-of-mouth intentions, especially in fully automated settings. The study demonstrates how trait configurations can predict real-world consumer behavior and inform differentiated service design strategies.