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  1. KEEP
  2. Theses and Dissertations
  3. Barrett, The Honors College Thesis/Creative Project Collection
  4. How to Become Successful and Happy in Life
  5. Full metadata

How to Become Successful and Happy in Life

Full metadata

Description

There is a disconnect between the way people are taught to find success and happiness, and the results observed. Society teaches us that success will lead to happiness. Instead, it is argued that success is engrained in happiness. Case studies of four, established, successful people: Jack Ma, Elon Musk, Ricardo Semler, and William Gore, have been conducted in order to observe an apparent pattern. This data, coupled with the data from Michael Boehringer's story, is used to formulate a solution to the proposed problem. Each case study is designed to observe characteristics of the individuals that allow them to be successful and exhibit traits of happiness. Happiness will be analyzed in terms of passion and desire to perform consistently. Someone who does what they love, paired with the ability to perform on a regular basis, is considered to be a happy person. The data indicates that there is an observable pattern within the results. From this pattern, certain traits have been highlighted and used to formulate guidelines that will aid someone falling short of success and happiness in their lives. The results indicate that there are simple questions that can guide people to a happier life. Three basic questions are defined: is it something you love, can you see yourself doing this every day and does it add value? If someone can answer yes to all three requirements, the person will be able to find happiness, with success following. These guidelines can be taken and applied to those struggling with unhappiness and failure. By creating such a formula, the youth can be taught a new way of thinking that will help to eliminate these issues, that many people are facing.

Date Created
2016-05
Contributors
  • Boehringer, Michael Alexander (Author)
  • Kashiwagi, Dean (Thesis director)
  • Kashiwagi, Jacob (Committee member)
  • Department of Management (Contributor)
  • School of Mathematical and Statistical Sciences (Contributor)
  • Department of Finance (Contributor)
  • Sandra Day O'Connor College of Law (Contributor)
  • Barrett, The Honors College (Contributor)
Topical Subject
  • Deductive Logic
  • Sociology
  • psychology
Resource Type
Text
Extent
21 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Barrett, The Honors College Thesis/Creative Project Collection
Series
Academic Year 2015-2016
Handle
https://hdl.handle.net/2286/R.I.37483
Level of coding
minimal
Cataloging Standards
asu1
System Created
  • 2017-10-30 02:50:58
System Modified
  • 2021-08-11 04:09:57
  •     
  • 1 year 7 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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