Transformational-transactional leadership and upward influence:the role of Relative Leader-Member Exchanges (RLMX) and Perceived Organizational Support (POS)

By utilizing the resource theory of social exchange (Foa & Foa, 1974), we attempted to cast light on the dynamics of the relationship between transformational-transactional leadership and employees' upward influence tactics. Using data collected in two time points (N=200, 1. year apart), we found perceptions of transformational leadership (Time 1) to be positively related to the use of soft and rational upward influence tactics (Time 2) whereas transactional leadership (Time 1) was positively related to the use of soft and hard upward influence tactics (Time 2). We also found support for a 3-way interaction between transformational-transactional leadership, relative Leader Member Exchanges (RLMX) and Perceived Organizational Support (POS) on employees' upward influence tactics. Specifically, in resource-constrained conditions (low RLMX and low POS), employees were likely to use soft tactics to influence a manager they perceived as transformational to a greater extent than in resource-munificent conditions. They were also likely to employ higher levels of soft and hard tactics to influence a transactional manager in resource-constrained rather than in resource-munificent conditions. © 2012 Elsevier Inc.

Self-organization in social tagging systems

Individuals often imitate each other to fall into the typical group, leading to a self-organized state of typical behaviors in a community. In this paper, we model self-organization in social tagging systems and illustrate the underlying interaction and dynamics. Specifically, we introduce a model in which individuals adjust their own tagging tendency to imitate the average tagging tendency. We found that when users are of low confidence, they tend to imitate others and lead to a self-organized state with active tagging. On the other hand, when users are of high confidence and are stubborn to change, tagging becomes inactive. We observe a phase transition at a critical level of user confidence when the system changes from one regime to the other. The distributions of post length obtained from the model are compared to real data, which show good agreement. © 2011 American Physical Society.