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The author is an accounting major headed into the public accounting industry. As a tax intern his senior year, he was able to work in the thick of "busy season", when tax returns are due for submission and work is very busy. The author tired of working long hours and

The author is an accounting major headed into the public accounting industry. As a tax intern his senior year, he was able to work in the thick of "busy season", when tax returns are due for submission and work is very busy. The author tired of working long hours and continuous talking with his accounting friends how working on Saturdays and long weeknights was generally accepted. Best value principles from Dr. Dean Kashiwagi's Information Measurement Theory were applied to examine how to maximize efficiency in public accounting and reduce the workload. After reviewing how Information Measurement Theory applies to public accounting, the author deemed three possible solutions to improve the working conditions of public accountants. First, to decrease the work load during busy season, tax organizers need to be sent earlier and staff should be assigned to oversee this information gathering. Second, in order to better prepare new hires to become partners, the career path needs to be outlined on day one with a career guide. Finally, in order to more successfully on board new hires due to the steep learning in public accounting, firms should utilize buddy systems and encourage organic mentoring.
ContributorsBohmke, Scott (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Barrett, The Honors College (Contributor) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor)
Created2015-05
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Description
The value of data in the construction industry is driven by the actual worth or usefulness the data can provide. The revolutionary method of Best Value Performance Information Procurement System implemented into the industry by the Performance Based Studies Research Group at ASU optimizes the value of data. By simplifying

The value of data in the construction industry is driven by the actual worth or usefulness the data can provide. The revolutionary method of Best Value Performance Information Procurement System implemented into the industry by the Performance Based Studies Research Group at ASU optimizes the value of data. By simplifying the details and complexity of a construction project through dominant and logical thinking, the Best Value system delivers efficient, non-risk success. The Best Value model's implementation into industry projects is observed in the PBSRG Minnesota projects in order to improve data collection and metric analysis. The Minnesota projects specifically have an issue with delivering Best Value transparency, the notion that the details of project data should be used to support dominant ideas. By improving and simplifying the data collection tools of PBSRG, Best Value transparency can be achieved more easily and effective, in turn improved the Best Value system.
ContributorsMisiak, Erik Richard (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor)
Created2015-05
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Description
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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Description
Abstract The purpose of this project is to utilize the models and concepts from Information Measurement Theory (IMT) to help minimize future decision making with respect to my career path. When I began this project, my future was clouded, my initial conditions were unknown, my stress over future career-path decisions

Abstract The purpose of this project is to utilize the models and concepts from Information Measurement Theory (IMT) to help minimize future decision making with respect to my career path. When I began this project, my future was clouded, my initial conditions were unknown, my stress over future career-path decisions was high, and I had eight possible career paths in mind. I have narrowed my career-path options from eight to four. In addition, I have determined a one-year plan that enables me to be prepared to pursue any of the four career paths that I have found align with me. In this project, I explored my dominant initial conditions with respect to my career path. I tracked the job history of my grandparents and parents. These efforts allowed me to identify the strengths and weaknesses that I was exhibiting by the age of three. Natural law dictates that the strengths and weaknesses of my younger self will be the same strengths and weakness that I excel at and struggle with today. I then used my understanding of natural law and the event model process to map the strengths and weaknesses of my parents and grandparents and to compare and contrast these to my strengths and weaknesses, including those that were apparent by the time that I was three years old. Focusing in on what I really want from a job, four main goals were established to grade the various future career-path options. Finally, I documented my transition from uncertainty to clarity. It began with my sobriety and ended with a milestone one-year plan that will give me information that I need to commit to my career path. This transition has had significant impact. The elusive "who am I" has been addressed, not completely but addressed sufficiently so that the question no longer plagues me. I know from where I have come. I have gained significant insight from those around me who know me. All of this has been documented for my own personal use, and for my children someday. This process permitted me to eliminate outliers from my eight original career paths, reducing them to four. In addition, application of IMT models and concepts has allowed me to see one year into the future. With my new-found knowledge, I will listen and watch the doors close on three of the remaining four career paths, as there is only one path I am meant to take.
ContributorsRichardson, Trevor Woods (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor) / Del E. Webb Construction (Contributor)
Created2014-05
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Description
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
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Mindfulness-based stress reduction (MSBR) is a clinically standardized meditation process that has been shown to facilitate the treatment of a variety of mental and physical disorders. The known efficacy of mindfulness-based stress reduction is derived from research on participants who are defined as unhealthy in some form. The potential benefits

Mindfulness-based stress reduction (MSBR) is a clinically standardized meditation process that has been shown to facilitate the treatment of a variety of mental and physical disorders. The known efficacy of mindfulness-based stress reduction is derived from research on participants who are defined as unhealthy in some form. The potential benefits of mindfulness-based stress reduction for individuals who are considered to be healthy is under-studied, as less attention has gone into this subject area. Information Measurement Theory is a predictive theory that simplifies reality, and through this logical simplification, allows people to predict and see into the future. The concepts that are central to Information Measurement theory are natural laws, unique conditions, and relationships of unique conditions between the past, present, and future and the event model. This project aims to answer the question of if individuals, who are considered to be healthy, experience the same beneficiary results, that mindfulness-based stress reduction models execute, through the conception and knowledge of Information Measurement Theory. This study aims to compare MBSR and IMT in order to determine the consequences of each on the individual. The purpose of this study is also to highlight the promising success that Leadership Society of Arizona has achieved through the teaching of IMT in leadership courses.
ContributorsPirotte, Genevieve Katherine (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
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Description
Information Measurement Theory (IMT) is a system created by Dr. Dean Kashiwagi to minimize subjective decision-making, the amount of data needed to understand situations, and optimize processes by removing risk. IMT uses the ideas of Kashiwagi Solution Models to identify high performing and low performing characteristics. IMT proposes the usage

Information Measurement Theory (IMT) is a system created by Dr. Dean Kashiwagi to minimize subjective decision-making, the amount of data needed to understand situations, and optimize processes by removing risk. IMT uses the ideas of Kashiwagi Solution Models to identify high performing and low performing characteristics. IMT proposes the usage of Best Value Approaches to achieve high performance while minimizing risk through quality control. For my project, I prove how IMT can be applied to a long-term project to reduce stress, create a quality product, and minimize opportunities for failure. My project focuses on the creation and release of a vinyl record. IMT was developed for use with construction projects, so my goal is to apply IMT ideals to an industry where it has not been used whatsoever and show how IMT can be applied to any project that is either difficult, requires careful analysis of options, or is completed on a long-term basis. Since I am not an expert in music production or releasing physical copies of music, I also prove that IMT helps provide guidelines and measures of how to complete a project where not all information is known at the beginning. With the usage of dominant information and the alignment of expert assistance, a high quality product was produced and a successful release followed.
ContributorsPfisthner, Jess (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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Description
The Performance Based Studies Research Studies Group (PBSRG) at Arizona State University (ASU) has been studying the cause of increased cost and time in construction and other projects for the last 20 years. Through two longitudinal studies with a group of owners in the state of Minnesota (400 tests over

The Performance Based Studies Research Studies Group (PBSRG) at Arizona State University (ASU) has been studying the cause of increased cost and time in construction and other projects for the last 20 years. Through two longitudinal studies with a group of owners in the state of Minnesota (400 tests over six years) and the US Army Medical Command (400 tests over four years), the client/buyer has been identified as the largest risk and source of project cost and time deviations. This has been confirmed by over 1,500 tests conducted over the past 20 years. The focus of this research effort is to analyze the economic and performance impact of a delivery process of construction called the Job Order Contracting (JOC) process, to evaluate the value (in terms of time, cost, and customer satisfaction) achieved when utilizing JOC over other traditional methods to complete projects. JOC's strength is that it minimizes the need for the owner to manage, direct and control (MDC) through a lengthy traditional process of design, bid, and award of a construction contract. The study identifies the potential economic savings of utilizing JOC. This paper looks at the results of an ongoing study surveying eight different public universities. The results of the research show that in comparison to more traditional models, JOC has large cost savings, and is preferable among most owners who have used multiple delivery systems.
ContributorsLi, Hao (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Industrial, Systems (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
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Description
The purpose for creating this thesis project is to discover the effects that options have on consumer behavior and satisfaction, and to determine whether or not more options are a good thing. In exploring these questions, Information Measurement Theory (IMT), a theory founded by Dr. Dean Kashiwagi which relies on

The purpose for creating this thesis project is to discover the effects that options have on consumer behavior and satisfaction, and to determine whether or not more options are a good thing. In exploring these questions, Information Measurement Theory (IMT), a theory founded by Dr. Dean Kashiwagi which relies on understanding natural laws to help minimize decision-making and risk, was utilized to draw conclusions. IMT illustrates that any given situation can only have one unique outcome, and minimizing decision-making in turn leads to reduced stress. The more information an individual has for the given situation, the better he/she can predict the outcome. The concepts of IMT, specifically the ideal that more decision-making leads to higher stress, were utilized to illustrate that more options naturally leads to more decisions and as a result more decision-makers will feel greater stress and less satisfaction. To conduct this research we explored two different segments of consumer markets. The first branch of our research was comprised of analyzing the differences in operations and menu structures of different fast food chains, most specifically In-N-Out and McDonald's and how these differences affect customer satisfaction. The other branch of our research involved reviewing phone case ratings based on Amazon reviews for a number of different phone types with varying popularity to gauge consumer satisfaction. Our results found that while both In-N-Out and McDonald's are successful companies, In-N-Out ranked consistently higher in customer satisfaction. Furthermore, a large portion of this satisfaction can be attributed to In-N-Out's simplistic menu structure which limits the amount of options and therefore decisions that a customer must make. Similarly, our study of phone cases found that for phone models where less case options are offered, customers rated their cases higher on a scale of 1-5 stars regardless of brand or the number of reviews. Through a combination of IMT and our research we were able to conclude that less options does indeed lead to higher consumer satisfaction.
ContributorsBrandt, Lawrence (Co-author) / Spiller, Ryan (Co-author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Department of Finance (Contributor) / Department of Management (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05