Organizations are constantly seeking the way to identify, equip, and retain effective leaders. However, few have been able to consistently identify those who thrive in leadership positions. Employers must be able to identify not just the type of person who desires to be in a leadership position but also the type who will excel as a leader. Much focus has been placed on individual traits, yet the leader exists, by nature, within a group context. Thus, it is the combined influence of individual traits and an effective communication style which determines success as a leader.
While leadership development has been a topic of great interest for some time, neither a reliable profile of leadership attributes nor an encouraging method of human system interventions for the development of those attributes exists to resolve these issues.
We investigate the relationships between Personality and Perceived Leader Communication Effectiveness. Agreeableness, and Openness are found to be significantly correlated with Perceived Leader Communication Effectiveness. Current research expands on the pilot by looking at leader emergence and the effect of human system interventions on communication behaviors.
Sarah Rose Stough and Dr. Kristin Weger
Modern business philosophies are implementing transformations with the goal of changing their own culture to focus on an organization wide program to increase performance and organizational health. Lean and agile are some of the systems that companies are applying that emphasize quality and higher productivity while reducing lead time. Vital behavioral shifts are required from employees, especially those in leadership positions, in order to break from the typical way that large organizations have long encouraged them to behave. At the time, there are no established categorical measures of leanness for leadership behavior, but through a systematic review of literature on leadership a model of the attributes for our future leaders in their organization will be created.
Raeshaun Jones, Jakob Theut and Dr. Kristin Weger
The need for multi-agency alliances is crucial to fund and complete large-scale projects that require resources beyond the feasible scale of a singular agency. Multi-agency cooperation requires numerous decisions to be made that integrates the preferences and needs of each agency.
The study investigates the formation of preferences within these multi-agency alliances to better understand the factors that went into decision making for large-scale system design. The study hypothesizes that preferences between agencies would differ, with individual agencies holding different preference values regarding specific project attributes as related to a proposed system. Government was hypothesized to value the reliability and availability of the system over other attributes; academia was hypothesized to value the efficacy, robustness, and resilience of the system; and industry was hypothesized to value profitability, efficiency, and maintainability. A pilot survey was distributed to undergraduate students at UAH (N = 265). Pilot results largely did not support the hypotheses, with only mild support for the general hypothesis that agency preferences would differ.
Future research will address the preference formation with participants from relevant workplace agencies to determine whether context specificity affects the results.
Cassandra Martin, Dr. Kristin Weger, and Dr. Bryan Mesmer
Autonomous systems have the potential to improve operator efficiency while simultaneously reducing costs or risks associated with human error, but successful integration into a workflow depends heavily on the machine operator's confidence in that system's reliability in carrying out tasks . Past experiences and the operator's self-assurance in their ability to manually complete a task all influence perceptions of the system's usefulness. Individual differences in perception have been demonstrated to consequently affect the operator's voluntary usage of that system, and may complicate the design of future technologies. This study aims to develop a systematic measure of war fighter preference for automated systems and model the advantages/disadvantages of adopting these preferences into the system design process.
Jonathan Sullivan, Dr. Kristin Weger, and Dr. Bryan Mesmer