The spread of COVID-19 changes consumer preferences and behaviors greatly across the world. Extant literature has demonstrated that when there is a threat to disease, people stay away from those who do not seem healthy as they can be potentially infectious. Based on the previous literature, this research shows that individuals exposed to disease threat avoid products of which designs are high in visual complexity. When disease threat was present, individuals had lower purchase intention for products with complex designs. The perceived uncleanliness mediated the effect of visual complexity and disease threat on purchase intention. The findings provide a novel insight into the effect of disease salience on consumer perception of product design.

How do people perceive new technology-embedded machines? Based on the previous literature on mind perception, this research proposes how people perceive the mind of machines including artificial intelligence (AI), robots, recommendation systems, chatbots, and self-service technologies (SSTs).

This research was conducted in order to examine the effect of brand status and brand crisis types on consumers’ forgiveness intention. In this research, we proposed and found that the favorable attitude toward the underdog referred as underdog effect (Paharia, Keinan, Avery, & Schor, 2011) would be diluted especially in relational-related failure. When relationship efforts and perceived warmth of the brand are particularly critical, service failure caused by highly identified underdog brand can be perceived to be more serious (Vandello, Goldschmied, & Richards, 2007). Four of the studies consistently demonstrated our assumption in that people expressed less forgiveness intention on underdog brands when the crisis is in a service failure (vs. product failure): study1 and 2, service process failure (vs. service outcome failure): study 3, and human service process failure (vs. non-human service process failure): 4. Further, the mechanism underlying this negative effect toward the underdog was revealed as perceived anger. These findings can give insights to marketers that the types of crisis and the way of brand positioning are very critical to influence customer’s forgiveness intention.

In this research, we are going to explore the effect of processing fluency and different types of appeal on consumer’s prosocial intention. There are contradictory findings regarding the effects of processing fluency whether easy to process fluency (EPF) or difficult to process fluency (DPF) is more efficient to lead prosocial behavior (Reber, Schwarz, & Winkielman, 2004). However, we predict that different appeals based on egoistic or altruistic motives may influence people’s perceptions of processing fluency. In particular, if a primed appeal concerns egoistic motives, effort to reach the selfish appeal could not be reflected as honorable for themselves (Zhang, Xu, Jiang, & Huang, 2010). As a result, we predict that such perceived disgraceful efforts will increase unpleasant emotional states such as guilt, which arises when experiencing possible objections to their actions or intentions (Peloza, White, & Shang, 2013). Thus, we hypothesized and found that in study 1, people primed with self-benefiting appeals considered a difficult to process campaign to be less favorable than an easy to process campaign. Self-benefiting appeals increased a sense of guilt when people are in a DPF condition compared to an EPF condition. Finally, in study 2, the demonstrated effect from study 1 was explained with underlying mechanism as a sense of guilt. In conclusion, this study has theoretical implications in discovering the relationship between processing fluency and different types of appeal. When the appeal is considered disgraceful from egoistic motives, putting extra efforts into DPF campaigns is considered unjustifiable through increasing guilty feelings. This effect causes unfavorable attitudes toward DPF campaigns and decreases prosocial behavior. As a result, our findings provide insights for marketers by suggesting effective strategies for designing prosocial campaigns.

New product entails risk, causing resistance to adoption. The recommendation system may decrease the psychological risk by guiding decision making process to be more efficient (Häubl and Trifts, 2000). AI (Artificial Intelligence) has been getting smarter and smarter and widely applied to the recommendation system. Even while you are browsing on your Facebook, AI recommends you the products that you may like based on the customized analysis of your interest. However, do people always love to adopt the smart recommends from AI? Definitely no! Then when and why people reluctantly accept AI recommendation? We assume that the product or service where the sense and feeling is important, people might be reluctant to accept the recommendation from artificial intelligence. This is because people might feel threatened when the AI challenges against human uniqueness (Gray and Wegner, 2012). Thus, in this study we investigated how the recommendation system types (AI vs. Human) affect brand attitude depending on the brand image (Symbolic vs. Functional). We found consumers are reluctant to accept a recommendation from AI in symbolic brand where human sense and feel are considered to be critical factors (Study1). This effect was further explained by uncanny-feeling toward the AI recommendation system (Study2). This research is meaningful in that it is the first attempt to apply the artificial intelligence recommendation concept to the marketing strategy by incorporating the concept of brand image. We predicted and found AI based recommendation system is reluctantly accepted for symbolic brand. Furthermore, we discovered the underlying process for this phenomenon as uncanny feeling. People seemed to have uncomfortable feelings against AI recommendation when the brand image is related to sense and feel considered as nature of human uniqueness. Thus, marketers should be very cautious when utilizing the AI recommendation system not to threaten human uniqueness area.

A large body of word-of-mouth (WOM) research has shown that ratings, rating volume, and text comments function as determinants to assessing quality of products (Berger, 2014; Chen & Lurie, 2013). However, little attention has been paid to the reviewers as a significant source of product evaluation (He & Bond, 2013). To be specific, there is a lack of understanding whether a product is preferred because it was recommended by an associative group or because it was not preferred by a dissociative reference group (dissimilar to self). The results from Study 1 demonstrated that participants are more influenced by similarity-attraction than by dissimilarity-repulsion. To be specific, African American participants rated product a higher, which was recommended by their associative reference group. Similar pattern was revealed in the male group. In Study 2, we found an underlying mechanism to explain the effects from Study 1. We tested the perceived difficulty of processing as a potential mediator for this phenomenon and utilized a choice/reject task. The analysis of moderated mediation (Hayes, 2013) revealed that the significant indirect effect of the number of options on purchase intention was conditional on the deleting approach but not on the choosing approach. By rejecting multiple alternatives, participants were more likely to buy the product since it is easier to make decision. In conclusion, this finding provides insights regarding the decisionmaking process resulting from social influence based on a reference-dependence approach.

Based on the collaborative and social characteristics, social networking services (SNSs) are growing platforms for consumer-to-consumer conversation including electronic word-of-mouth (eWOM). eWOM is defined as ‘any positive or negative statement made by potential, actual, or former customers about a product or company, which is made available to a multitude of people and institutions via the Internet’ (Hennig-Thurau, Gwinner, Walsh, & Gremler, 2004, p.39). Despite its academic and managerial significance, several preliminary studies have examined what determines effective eWOM in SNSs (e.g., Chu & Kim, 2011; Teng, Khong, Goh, & Chong, 2014). Extending these attempts, we empirically investigate what influences consumers’ evaluation of eWOM, especially on Facebook. We suggest a new perspective of focusing on the psychological stream of social identity (Tajel & Turner, 1986) which is a distinctive factor explicit on Facebook. Unlike conventional eWOM platforms like bulletin boards and online communities where the user information is limited due to anonymity or presented in restricted manner (e.g., reputation from ratings by other members) (Dou, Walden, Lee, & Lee, 2012), Facebook provides profile information about users including one’s social group membership (e.g., school, company). This implies that the perception of social identity on Facebook may influence how one evaluates the source and his/her eWOM message.