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- All Subjects: Motivation
- Creators: College of Health Solutions
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
The next question: What do these changes in the roles and responsibilities look like for the auditors of the future? Cognitive technology will assuredly present new issues for which humans will have to find solutions.
• How will humans be able to test the accuracy and completeness of the decisions derived by cognitive systems?
• If cognitive computing systems rely on supervised learning, what is the most effective way to train systems?
• How will cognitive computing fair in an industry that experiences ever-changing industry regulations?
• Will cognitive technology enhance the quality of audits?
In order to answer these questions and many more, I plan on examining how cognitive technologies evolved into their use today. Based on this historic trajectory, stakeholder interviews, and industry research, I will forecast what auditing jobs may look like in the near future taking into account rapid advances in cognitive computing.
The conclusions forecast a future in auditing that is much more accurate, timely, and pleasant. Cognitive technologies allow auditors to test entire populations of transactions, to tackle audit issues on a more continuous basis, to alleviate the overload of work that occurs after fiscal year-end, and to focus on client interaction.
The purpose of this study was to identify the different contributors and predictors related to athlete burnout. Athlete burnout consists of emotional and physical exhaustion, reduced sense of accomplishments and sport devaluation. Moreover, motivation type, athletic identity, and being a student athlete can affect athlete burnout. Participants of this study were female, Division I soccer student-athletes located in Tempe, Arizona [n=22]. Athlete burnout was assessed with the Athlete Burnout Questionnaire (ABQ). Motivation type was assessed with the Behavioral Regulation in Sport Questionnaire (BRSQ). Athletic identity was assessed with the Athletic Identity Measurement Scale (AIMS). Student burnout was assessed with the Maslach Burnout Inventory - Student Survey (MBI-SS). All of the questionnaires were answered based on a Likert scale. Pearson correlations were used to find relationships between the different variables and athlete burnout. The results showed that 50% of the participants were burnt out at the end of their competitive season. Correlations were shown between the ABQ and its subscales: reduced accomplishment (r=0.6101, p<0.05), physical and mental exhaustion (r=0.8170, p<0.05), and devaluation (r=0.8697, p<0.05). Furthermore, the ABQ was also negatively correlated with general intrinsic motivation (r=-0.4943, p<0.05) and intrinsic motivation to know (r=-0.4865, p<0.05). The results from this study should be used for further research that focuses on education and prevention of athlete burnout in female soccer players.
The purpose of this study was to identify the different contributors and predictors related to athlete burnout. Athlete burnout consists of emotional and physical exhaustion, reduced sense of accomplishments and sport devaluation. Moreover, motivation type, athletic identity, and being a student athlete can affect athlete burnout. Participants of this study were female, Division I soccer student-athletes located in Tempe, Arizona [n=22]. Athlete burnout was assessed with the Athlete Burnout Questionnaire (ABQ). Motivation type was assessed with the Behavioral Regulation in Sport Questionnaire (BRSQ). Athletic identity was assessed with the Athletic Identity Measurement Scale (AIMS). Student burnout was assessed with the Maslach Burnout Inventory - Student Survey (MBI-SS). All of the questionnaires were answered based on a Likert scale. Pearson correlations were used to find relationships between the different variables and athlete burnout. The results showed that 50% of the participants were burnt out at the end of their competitive season. Correlations were shown between the ABQ and its subscales: reduced accomplishment (r=0.6101, p<0.05), physical and mental exhaustion (r=0.8170, p<0.05), and devaluation (r=0.8697, p<0.05). Furthermore, the ABQ was also negatively correlated with general intrinsic motivation (r=-0.4943, p<0.05) and intrinsic motivation to know (r=-0.4865, p<0.05). The results from this study should be used for further research that focuses on education and prevention of athlete burnout in female soccer players.
Background: There is limited literature evaluating the impact of disseminating research results to past research study participants and their families. The purpose of the study was to evaluate whether disseminating results from a diabetes prevention program to past participants and their families facilitates motivation to engage in healthier behaviors. Methods: Previous youth participants from the “Every Little Step Counts” study were contacted and invited to a community dissemination event in November of 2022 at a local YMCA in the Phoenix Metropolitan area. All individuals in attendance at the event were invited to complete a 10-item questionnaire following a presentation about diabetes and the study results. 10 youth past participants, 9 adult past participants, and 13 community members completed the questionnaire to assess whether dissemination of past study results increases motivation to engage in healthier behaviors. Results: Aggregate responses revealed a 28.43% increase in motivation to eat healthier and a 33.45% increase in motivation to increase exercise. An increase in average response frequency was evident amongst all figures, indicating that overall, dissemination of research results was found to increase motivation to engage in healthier behaviors across community members, adult participants, and youth participants. Conclusions: This study supports the importance of disseminating research results from a diabetes prevention program to past participants in order to reinforce and maintain behavior change skills taught throughout the study, with the long-term goal of reducing type 2 diabetes risk in youth.
Corporate buzzword terms like “big data” and “data analytics” are vague in meaning, and are thrown around by media sources often enough to obfuscate their actual meanings. These concepts are then associated with company-wide initiatives beyond the reach of the individual, in a nebulous world where people know that analytics happens, but don’t understand what it is.
The power of data analytics is not reserved for company-wide initiatives, or only employed by Silicon Valley tech start-ups. Its impacts are visible down at the team or department level, and can be conducted by the individual employees. The field of data analytics is evolving, and within it exists a rapid transition in which the individual employee is becoming a source for insight and value creation through the adoption of analytics based approaches.
The purpose of this thesis is to showcase an example of this claim, and demonstrate how an analytics based approach was applied to an existing accounting process to create new insights and information. To do this, I will discuss my development of an Excel based Dashboard Analytics tool, which I completed during my internship with Bechtel Corporation throughout the summer of 2018, and I will use this analytics tool to demonstrate the improvements that small-scale analytics had on a pre-existing process. During this discussion, I will address conceptual aspects of database design that related to my project, and will show how I applied this classroom learning to a working environment. The paper will begin with an overview of the desired goals of the group in which I was based, and will then analyze how the needs of the group led to the creation and implementation of this new analytics-based reporting tool. I will conclude with a discussion of the potential future use of this tool, and how the inclusion of these analytical approaches will continue to shape the working environment.
