Filtering by
- All Subjects: COVID-19
- Creators: School of Accountancy
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.
For our project, we explored the growth of the ASU BioDesign Clinical Testing Laboratory (ABCTL) from a standard university research lab to a COVID-19 testing facility through a business lens. The lab has pioneered the saliva-test in the Western United States. This thesis analyzes the laboratory from various business concepts and aspects. The business agility of the lab and it’s quickness to innovation has allowed the lab to enjoy great success. Looking into the future, the laboratory has a promising future and will need to answer many questions to remain the premier COVID-19 testing institution in Arizona.
In the long term, there is evidence that accessible and affordable housing is crucial to the health, wealth and sustainability of a community (Enterprise, 2014). In Arizona, the ramifications of regressive tax policies and discriminatory zoning and credit practices have led to what has been termed an “affordable housing crisis” where Arizona is ranked the third worst in the nation for affordable housing (NLIHC, 2020). The research grapples with the policies and history of housing in Arizona, with specific focus on the policies regarding lending, tax and zoning. Access to opportunities and resources (food, health, etc.) is significantly related to housing, thus exploring what kind of homes are available to whom and where those homes are located is critical to understanding the disparate barriers inadequate housing imposes and the impact housing has. To understand this we must understand the role of the state in ensuring an equitable housing market, and the intimacies of what is already happening at local level. The goal is to explore sustainable solutions that can bridge the affordable housing gap and provide protections for residents in the volatile housing market.
The PPP Loan Program was created by the CARES Act and carried out by the Small Business Administration (SBA) to provide support to small businesses in maintaining their payroll during the Coronavirus pandemic. This program was approved for $350 billion, but this amount was expanded by an additional $320 billion to meet the demand by struggling businesses, since initial funding was exhausted under two weeks.<br/><br/>Significant controversy surrounds the program. In December 2020, the Department of Justice reported 90 individuals were charged for fraudulent use of funds, totaling $250 million. The loans, which were intended for small business, were actually approved for 450 public companies. Furthermore, the methods of approval are<br/>shrouded in mystery. In an effort to be transparent, the SBA has released information about loan recipients. Conveniently, the SBA has released information of all recipients. Detailed information was released for 661,218 recipients who have received a PPP loan in excess of $150,000. These recipients are the central point of this research.<br/><br/>This research sought to answer two primary questions: how did the SBA determine which loans, and therefore which industries are approved, and did the industries most affected by the pandemic receive the most in PPP loans, as intended by Congress? It was determined that, generally, PPP Loans were approved on the basis of employment percentages relative to the individual state. Furthermore, in general, the loans approved were approved fairly, with respect to the size of the industry. The loans, when adjusted for GDP and Employment factors, yielded a clear ranking that prioritized vulnerable industries first.<br/><br/>However, significant questions remain. The effectiveness of the PPP has been hindered by unclear incentives and negative outcomes, characterized by a government program that has essentially been rushed into service. Furthermore, limitations of available data to regress and compare the SBA's approved loans are not representative of small business.
Early on in the pandemic, ASU leadership recognized an opportunity to involve the Biodesign Institute in an effort to keep local communities safe. Equipped with capital investments (and expertise) in diagnostic testing, university president Michael Crow tasked Dr. Joshua LaBaer - the executive director of Biodesign - to begin mapping out the lab’s logistic capabilities and operational plan. While initially testing through nasopharyngeal swabs, the Arizona Biodesign Clinical Testing Laboratory (ABCTL) eventually developed a saliva-based COVID-19 test that demonstrated higher efficacy and resource-efficiency. By maintaining rapid turnaround times for test results, the ABCTL has helped both the university population and local community operate safely. Lauded as a highly innovative testing site, the lab proved to be an essential asset as ASU, and the world, look to return to normalcy. The purpose of this thesis is to analyze the ABCTL’s inception and development using multi-faceted approaches from the business realm. There will be five topics discussed which are: • Volume I- Stakeholder Theory and Analysis Regarding the COVID-19 Bio-design Institute at Arizona State University (Claire Agee), • Volume II- The Lab as a Business Within a University Environment (Samuel Cosgrove) • Volume III- A Managerial Economic Perspective (Michael Qian) • Volume IV- An Analysis of its Upstream Supply Chain ( Kyle Mattson) • Volume V- An Operations Management Perspective (Corinne English) After these volumes, there will be a discussion about the growth and sustainability of the laboratory looking into the future. Although the ABCTL is young,the ever-changing market dynamics leave the organization with critical decisions going forward.
As the 2010’s came to a close, the world was thrust into a new era of panic, flexibility, and hyper growth as a result of COVID-19 (COVID). In an effort to combat this black swan event employers implemented mandatory work from home initiatives to stop the spread of COVID. Simultaneously, the Federal Reserve enacted a quantitative easing strategy in the form of low-interest rates accompanied by exhaustive government stimulus in an effort to stabilize the economy from its COVID induced panic. As a result of these factors, the U.S. has observed unique growth trends in population and home prices. This study aims to answer if low-income tax states experienced a larger population growth rate than moderate to high-income tax states from 2020 – 2022 and if low-income tax states experienced a larger increase in single-family home appreciation than moderate to high-income tax states from 2020 – 2022. To answer these questions, the study implemented the strategy of testing historical home pricing data provided by Zillow Research and population data provided by the U.S. Census Bureau through a correlation matrix to measure if there was a correlation and if the correlation P-values were significant. The same data was tested a second time through an index strategy which further confirmed the findings of the correlation matrix. The study found that there was a correlation between the income tax rate and home value appreciation and population growth from 2020 – 2022. As a result, the study concludes that there is enough evidence to infer that tax rates may influence home price appreciation and population growth. However, income tax rates are not solely responsible for the increases in home prices and population, but instead are one of many factors that influence these groups.