This research explores the relationship of self-monitoring with team leader behavior and work environment preference. Those who are high on self-monitoring demonstrate flexibility in their actions with others and are socially perceptive. They perform well in a variety of leadership positions and are viewed as leaders by group members. High self-monitoring types choose "socially" based careers, including teacher and psychologist, in which they adapt their interaction styles to effectively meet the demands of clients. The demands placed on a team leader appear to require similar characteristics to those that high self-monitoring individuals possess. As a team matures through different stages of development, the role of the leader ranges from director to facilitator to consultant. In order to effectively meet team needs, a leader must be socially sensitive to interpersonal cues and have the ability to assume various roles. In addition, given the fact that the position of team leader is a highly social type of career that requires behaviors similar to careers chosen by high self-monitoring individuals, it is likely that high self-monitors would prefer working in a team work environment over a traditional one. A survey methodology was used to assess the characteristics of 100 team members. No relationship …

In the increasingly competitive world of retail banking, organizations are focusing their attention on customer service as a means of increasing customer loyalty and retention. With this goal of increasing customer retention, the link between the attitudes of the service provider (employee satisfaction), the customer interaction behaviors that those attitudes lead to (customer service quality), and the attitudes that those behaviors generate in the customer (customer satisfaction) has become an increasingly important area of investigation. The goal of this research is to analyze the relationships that exist between these three variables: employee satisfaction, customer service quality, and customer satisfaction in a mid-sized retail bank. Data from three separate surveys collected during the same time period in 137 branches of a regional bank are analyzed using multiple regression analysis to determine whether relationships and interactions exist at a banking center level. While results of the analyses did not show a significant relationship between the variables, issues relevant to this determination are discussed and conclusions drawn regarding the nature of these constructs.