Gratitude intersects with affect as a boundary condition for daily satisfaction: An affective dynamics perspective.

This study is based on the affective events theory to investigate the situational predictors for gratitude-related differences in daily affect and satisfaction. We tested a moderated mediation model in which daily microevents (daily hassles and uplifts) were related to satisfaction through affect, at the within-person level. We also tested the cross-level interaction of gratitude on this indirect relationship. A total of 195 participants participated in a 5-day diary study (195 * 5 = 975 measurement occasions). Multilevel modeling showed that, at the person-level of analysis, daily microevents were significantly related to daily affect and, in turn, to daily satisfaction. At the daily level of analysis, trait-based gratitude moderated the mediation of daily positive affect on the relationship between daily uplifts and daily satisfaction, such that it become stronger for individuals who scored lower on gratitude, but gratitude did not moderate the relationship between daily hassles, negative affect, and satisfaction. These findings make relevant theoretical contributions to understanding the power of gratitude for daily affective dynamics. These results also expand knowledge on within-person processes that explain daily affect and satisfaction, in addition to more traditional between-person factors. In sum, the present research demonstrates that "being grateful" may be associated with being happy and that individuals who are less grateful need to experience more daily uplifts and positive affect to feel satisfied.

Emotions as Proximal Causes of Word of Mouth: A Nonlinear Approach.

Service research tends to operationalize word of mouth (WOM) behavior as one of the many responses to service satisfaction. In this sense, little is known about its antecedents or moderators. The objective of this study was to investigate the role of customers' emotions during service experiences on WOM, applying nonlinear techniques and exploring the moderating role of customers' propensity for emotional contagion. Using the critical incidents technique, 122 customers recalled significant service experiences and the emotions they aroused, and reported if they shared said experiences with other individuals. We found that, whereas linear methods presented non-significant results in the emotions-WOM relationship, nonlinear ones (artificial neural networks) explained 46% of variance. Negative emotions were stronger predictors of WOM and the importance of emotions for WOM was significantly higher for individuals with high propensity for emotional contagion (R^2 = .79) than for those with lower levels (R^2 = .48). Theoretical and practical implications are discussed.