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In this paper, the impact of running a Best Value system in a student-run/volunteer group is measured, documented, and analyzed. The group being used for this test is the Arizona State University Society of Automotive Engineers Formula Team. The Arizona State University Society of Automotive Engineers Formula Team has participated

In this paper, the impact of running a Best Value system in a student-run/volunteer group is measured, documented, and analyzed. The group being used for this test is the Arizona State University Society of Automotive Engineers Formula Team. The Arizona State University Society of Automotive Engineers Formula Team has participated in national Formula SAE competitions since at least 1992, however, in the last twenty years, the team has only been able to produce one car that was able to finish the competition on time. In a similar time period, Best Value has been successfully tested on over 1860 professional projects with a 95% satisfaction rating. Using the Best Value approach to increase transparency and accountability through simple metrics and documentation, the 2016 Arizona State University Society of Automotive Engineers Formula Team was able to complete their car in 278 days. In comparison, it took 319 days for the 2015 team and 286 for the average collegiate team. This is an improvement of 13% when compared to the 2015 team and 3% when compared to the average collegiate team. With these results it can be deduced that the Best Value approach is a viable method for improving efficiency of student-run and volunteer organizations. It is the recommendation of this report that the Arizona State University Society of Automotive Engineers Formula Team continue to utilize Best Value practices and run this system again each year moving forward. This consistent documentation should result in continuous improvement in the time required to complete the car as well as its quality.
ContributorsWojtas, Thomas Samuel (Author) / Trimble, Steven (Thesis director) / Kashiwagi, Dean (Committee member) / Kashiwagi, Jacob (Committee member) / WPC Graduate Programs (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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The aim of this thesis is to explain the dichotomy between public perception of leadership and quantifiable measurement of leadership based on Information Measurement Theory, a method of utilizing deductive logic, and to identify and interpret the causes of such discrepancies as seen in the case of Steve Jobs. The

The aim of this thesis is to explain the dichotomy between public perception of leadership and quantifiable measurement of leadership based on Information Measurement Theory, a method of utilizing deductive logic, and to identify and interpret the causes of such discrepancies as seen in the case of Steve Jobs. The general public perceives Steve Jobs to be an effective leader because he was visionary, entrepreneurial, charismatic and highly successful. However, these perceptions are not true indicators of leadership but rather qualitative interpretations of leadership without tangible evidence in support of this idea. An analysis of words found in multiple appearances of online articles relating to Steve Jobs and leadership revealed a variety of common factors associated with Steve Jobs' leadership, supporting a primarily positive viewpoint by the public. The thesis then identified how a new methodology of measuring leadership effectiveness based on quantitative data, known as the New Leadership Model, concludes Steve Jobs does not meet the criteria necessary to be considered a Best Value Leader, one who uses alignment rather than management, direction and control to achieve maximum efficiency within an organization. The discrepancies between public perception of Steve Jobs as a leader and the results of the New Leadership Model evaluation show significant variance. Potential rationale for these variances is offered in the thesis. In conclusion, the thesis argues that public perception will often differ from quantifiable measurement of leadership based on the interpretation of leadership by various groups and by the methods each group uses to identify characteristics of effective leadership.
Created2014-05