Is Charismatic Leadership Effective When Workers Are Pressured To Be Good Citizens?

Prior research has explored how employees’ perceptions of their leaders impact their work attitudes and behaviors. Studies have shown that charismatic leaders motivate individuals to be more engaged and to exhibit more organizational citizenship behaviors. This study considers how a moderator, citizenship pressure, affects how charismatic leaders might inspire their followers to go above and beyond and be more engaged in their work. Using a sample of 243 workers, this study's findings show that charismatic leadership has a stronger positive effect on job engagement when employees perceive less citizenship pressure. Citizenship pressure did not moderate the relationship between charismatic leadership and organizational citizenship behavior. Implications of this study include an examination of the moderating influence of citizenship pressure, a relatively new construct. Practically, the implications may shed some light on leadership factors that encourage increased effort from employees and greater employee engagement. More specifically, findings suggest that persons are motivated to exhibit more OCBs to meet high expectations of charismatic leaders. However, when seeking engagement, feeling pressure to perform these OCBs has a reverse effect as more job engagement results with less citizenship pressure. Future research suggestions and limitations are discussed.     

Clusters of Suicidal Events Among Young People: Do Clusters from One Time Period Predict Later Clusters?

We sought to compare clusters of suicidal events between two different time periods and examine the extent to which earlier clusters predict later clusters. We included data on suicides and suicide attempts from New South Wales between July 2001 and June 2012 and Western Australia between January 2000 and December 2011. Suicide attempts included admissions to hospital for deliberate self‐harm and suicides were deaths due to deliberate self‐harm. We combined data on suicides and suicide attempts and grouped them into two equal time periods. We detected clusters in each period using Poisson discrete scan statistics adjusted for socio‐economic status. We estimated the predictive values of earlier clusters on later clusters. The results showed that clusters from earlier time period had a moderate power (36%) in predicting later clusters. During the later time period, some additional cluster areas (14%) were found and some earlier cluster areas subsided (64%). Historical clusters predict 36% of the subsequent clusters, which is probably not sufficient for targeting interventions. Our study highlights the need for other strategies to detect emerging clusters, for example, up‐to‐date data.