The human quality of charisma can be best characterized as human expressiveness (Kouzes & Posner, 1993). As Kouzes and Posner (1993) suggested, the term charisma has been used to describe so many different variations of qualities expressed by leaders that it has lost a great deal of its true meaning. The whole idea of the type of leadership quality that leaders need to be attractive to followers has become a bit of an overworked cliché.
What the Kouzes and Posner (1993) discovered in their research is that leaders need an attractive human expressiveness that involves sharing, touching appropriately, smiling and making body movements that gain the attention of those being led. As to whether leaders need charisma for leadership, it is difficult to imagine that a leader could communicate effectively with followers without some form of charisma. Another situational factor may be that groups that are formed in an unstructured fashion will simply look to another person in the group that communicates in a way that gains their confidence and inspires them to act in accordance to the direction set forth by the leader. This is to say, the leader with the most influential form of charisma as defined above will rise to be the leader. In a workplace setting, where groups are formed in a structured fashion, an appointed leader may be charged with leadership and not have the strongest expressiveness tendencies or charisma within the group.
With regard to whether managers who are judged less adept at human expressiveness can lead effectively, depends a large part on the situation, the task faced by the group and whether the group was formed in a structured or unstructured context. In sum, the level of charisma required to get the job done all depends on the situation, but in general, all leaders must possess the ability to express themselves in a way that resonates with and gains the confidence of those who would follow.
Reference
Kouzes, J.M., & Posner, B.Z. (1995). The leadership challenge (2nd ed.). San Francisco, CA: Jossey-Bass.
Data Reliability Engineering
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