The current research identifies the range of social media brand behaviors (i.e., brand touch points) that consumers can exhibit on social media, and subsequently queries a representative sample of consumers with regard to such behaviors. The analysis reveals four underlying motivators for consumers' social media behaviors, including brand tacit engagement, brand exhibiting, brand patronizing, and brand deal seeking. These motivators are used to derive meaningful consumer segments identified as content seekers, observers, deal hunters, hard-core fans, posers and, respectively, patronizers, and described through co-variates including brand loyalty, brand attachment, and social media usage. The findings are critically discussed in the light of literature on the needs that consumers meet through brand consumption and on the types of relationships consumers build with brands. Not least, the managerial implications of the current findings are debated.

Word of mouth disseminates across Twitter by means of retweeting; however, the antecedents of retweeting have not received much attention. We used the chi-square automatic interaction detection (CHAID) decision tree predictive method (Kass, 1980) with readily available Twitter data, and manually coded sentiment and content data, to identify why some tweets are more likely to be retweeted than others in a (political) marketing context. The analysis includes four CHAID models: (1) using message structure variables only, (2) source variables only, (3) message content and sentiment variables only, and (4) a combined model using source, message structure, message content, and sentiment variables. The aggregated predictive model correctly classified retweeting behavior with a 76.7% success rate. Retweeting tends to occur when the originator has a high number of Twitter followers and the sentiment of the tweet is negative, contradicting previous research (East, Hammond, & Wright, 2007 ; Wu, 2013) but concurring with others (Hennig-Thurau, Wiertz, & Feldhaus, 2014). Additionally, particular types of tweet content are associated with high levels of retweeting, in particular those tweets including fear appeals or expressing support for others, while others are associated with very low levels of retweeting, such as those mentioning the sender's personal life. Managerial implications and research directions are presented. We make a methodological contribution by illustrating how CHAID predictive modeling can be used for Twitter data analysis and a theoretical contribution by providing insights into why retweeting occurs in a (political) marketing context.

Emotional appraisal research has demonstrated that recalling a past behavior and its associated emotions can influence future behavior. However, how such recalled emotions shape sustainable consumer choice has not been examined. This study examines the role of recalled pride and guilt in shaping sustainable purchase intentions and the mediating role of anticipated pride and guilt. A conceptual model is proposed for motivating sustainable purchase intentions through the emotions associated with the behavioral recall. The model is applied in two experiments with online consumers examining purchase intentions of low carbon cars. Recalling feelings of pride associated with a past sustainability‐related behavior increases sustainable purchase intention, as compared with a neutral recall. This effect occurs through the mediation of both anticipated pride at the prospect of a sustainable behavior choice and anticipated guilt if the future choice is not sustainable. Similar hypotheses relating to recalled guilt at past unsustainable behavior were not supported. The study contributes to research on sustainable consumption, revealing an emotional route by which past behavior can influence future behavior. It also adds to emotional appraisal research by showing the role of specific self‐conscious emotions in forming this route, as prior research has focused more broadly on emotional valence.

Although the effect of knowledge miscalibration (i.e., the inaccuracy in subjective knowledge relative to objective knowledge) on consumer purchase decisions has been investigated, its effect in the usage stage of consumption is little understood. This paper examines the effect of knowledge miscalibration in terms of both overconfidence (i.e., when subjective knowledge is inflated) and underconfidence (i.e., when subjective knowledge is deflated) on the dimensions of consumer value (i.e., efficiency, excellence, play, and aesthetics). The paper makes the case that overconfidence and underconfidence should be treated separately as they trigger different consumption consequences. Several hypotheses are tested through two studies: a covariance-based study (Study 1) and an experimental study (Study 2). In Study 1, overconfidence and underconfidence are measured, while in Study 2 they are experimentally manipulated. Findings of both studies show that underconfidence negatively influences efficiency, excellence, and aesthetics, and overconfidence negatively influences play. Also, Study 1 finds a negative effect of underconfidence on play and Study 2 finds a negative effect of overconfidence on excellence and aesthetics. Findings reveal that knowledge miscalibration negatively impacts consumers' usage experiences. This implies that in designing product or service experiences suppliers benefit from ensuring that consumers achieve a reduced level of knowledge miscalibration.