Matching Items (6)
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- All Subjects: data
- Creators: WPC Graduate Programs
- Creators: Shapiro, Brandon
- Member of: Theses and Dissertations
- Resource Type: Text
Description
Executive compensation is broken into two parts: one fixed and one variable. The fixed component of executive compensation is the annual salary and the variable components are performance-based incentives. Clawback provisions of executive compensation are designed to require executives to return performance-based, variable compensation that was erroneously awarded in the year of a misstatement. This research shows the need for the use of a new clawback provision that combines aspects of the two currently in regulation. In our current federal regulation, there are two clawback provisions in play: Section 304 of Sarbanes-Oxley and section 954 of The Dodd\u2014Frank Wall Street Reform and Consumer Protection Act. This paper argues for the use of an optimal clawback provision that combines aspects of both the current SOX provision and the Dodd-Frank provision, by integrating the principles of loss aversion and narcissism. These two factors are important to consider when designing a clawback provision, as it is generally accepted that average individuals are loss averse and executives are becoming increasingly narcissistic. Therefore, when attempting to mitigate the risk of a leader keeping erroneously awarded executive compensation, the decision making factors of narcissism and loss aversion must be taken into account. Additionally, this paper predicts how compensation structures will shift post-implementation. Through a survey analyzing the level of both loss- aversion and narcissism in respondents, the research question justifies the principle that people are loss averse and that a subset of the population show narcissistic tendencies. Both loss aversion and narcissism drove the results to suggest there are benefits to both clawback provisions and that a new provision that combines elements of both is most beneficial in mitigating the risk of executives receiving erroneously awarded compensation. I concluded the most optimal clawback provision is mandatory for all public companies (Dodd-Frank), targets all executives (Dodd-Frank), and requires the recuperation of the entire bonus, not just that which was in excess of what should have been received (SOX).
ContributorsLarscheid, Elizabeth (Author) / Samuelson, Melissa (Thesis director) / Casas-Arce, Pablo (Committee member) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
Data has quickly become a cornerstone of society. Across our daily lives, industry, policy, and more, we are experiencing what can only be called a “data revolution” igniting ferociously. While data is gaining more and more importance, consumers do not fully understand the extent of its use and subsequent capitalization by companies. This paper explores the current climate relating to data security and data privacy. It aims to start a conversation regarding the culture around the sharing and collection of data. We explore aspects of data privacy in four tiers: the current cultural and social perception of data privacy, its relevance in our daily lives, its importance in society’s dialogue. Next, we look at current policy and legislature in place today, focusing primarily on Europe’s established GDPR and the incoming California Consumer Privacy Act, to see what measures are already in place and what measures need to be adopted to mold more of a culture of transparency. Next, we analyze current data privacy regulations and power of regulators like the FTC and SEC to see what tools they have at their disposal to ensure accountability in the tech industry when it comes to how our data is used. Lastly, we look at the potential act of treating and viewing data as an asset, and the implications of doing so in the scope of possible valuation and depreciation techniques. The goal of this paper is to outline initial steps to better understand and regulate data privacy and collection practices. Our goal is to bring this issue to the forefront of conversation in society, so that we may start the first step in the metaphorical marathon of data privacy, with the goal of establishing better data privacy controls and become a more data-conscious society.
ContributorsAnderson, Thomas C (Co-author) / Shafeeva, Zarina (Co-author) / Swiech, Jakub (Co-author) / Marchant, Gary (Thesis director) / Sopha, Matthew (Committee member) / WPC Graduate Programs (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Autonomous vehicles (AV) are capable of producing massive amounts of real time and precise data. This data has the ability to present new business possibilities across a vast amount of markets. These possibilities range from simple applications to unprecedented use cases. With this in mind, the three main objectives we sought to accomplish in our thesis were to: 1. Understand if there is monetization potential in autonomous vehicle data 2. Create a financial model of what detailing the viability of AV data monetization 3. Discover how a particular company (Company X) can take advantage of this opportunity, and outline how that company might access this autonomous vehicle data.
ContributorsCarlton, Corrine (Co-author) / Clark, Rachael (Co-author) / Quintana, Alex (Co-author) / Shapiro, Brandon (Co-author) / Sigrist, Austin (Co-author) / Simonson, Mark (Thesis director) / Reber, Kevin (Committee member) / School of Accountancy (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Autonomous vehicles (AV) are capable of producing massive amounts of real time and precise data. This data has the ability to present new business possibilities across a vast amount of markets. These possibilities range from simple applications to unprecedented use cases. With this in mind, the three main objectives we sought to accomplish in our thesis were to: Understand if there is monetization potential in autonomous vehicle data Create a financial model of what detailing the viability of AV data monetization Discover how a particular company (Company X) can take advantage of this opportunity, and outline how that company might access this autonomous vehicle data. First, in order to brainstorm how this data could be monetized, we generated potential use cases, defined probable customers of these use cases, and how the data could generate value to customers as a means to understand what the "price" of autonomous vehicle data might be. While we came up with an extensive list of potential data monetization use cases, we evaluated our list of use cases against six criteria to narrow our focus into the following five: Government, Insurance Companies, Mapping, Marketing purposes, and Freight. Based on our research, we decided to move forward with the insurance industry as a proof of concept for autonomous vehicle data monetization. Based on our modeling, we concluded there is a significant market for autonomous vehicle data monetization moving forward. Data accessibility is a key driver in how profitable a particular company and their competitors can be in this space. In order to effectively monetize this data, it would first be important to understand the method by which a company obtains access to the data in the first place. Ultimately, based on our analysis, Company X has positioned itself well to take advantage of the new trends in autonomous vehicle technology. With more strategic investments and innovation, Company X can be a key benefactor of this unprecedented space in the near future.
ContributorsShapiro, Brandon (Co-author) / Quintana, Alex (Co-author) / Sigrist, Austin (Co-author) / Clark, Rachael (Co-author) / Carlton, Corrine (Co-author) / Simonson, Mark (Thesis director) / Reber, Kevin (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Given its impact on the accounting profession and public corporations, Sarbanes-Oxley Act of 2002(SOX) is a widely researched regulation among accounting scholars. Research typically focuses on the impact it has had on corporations, executives and auditors, however, there is limited research that illustrates the impact SOX may have on average Americans. There were several US criminal code sections that resulted from the passing of SOX. Statute 1519, which is often referred to as the "anti-shredding provision", penalizes anyone who "knowingly alters, destroys, mutilates, conceals, covers up, falsifies, or makes a false entry in any record, document, or tangible object with the intent to" obstruct a current or foreseeable federal investigation. This statute, although intended to punish behavior similar to that which occurred in the early 2000s by corporations and auditors, has been used to charge people beyond its original intent. Several issues with the crafting of the statute cause its broad application and some litigation even reached the Supreme Court due to its vague wording. Not only is the statute being applied beyond the intent, there are other issues that legal scholars have critiqued it for. This statute is far from being the only law facing these issues as the same issues and critiques are found in the 14th amendment. Rewriting the statute seems to be the most effective way to address the concerns of judges, lawyers and defendants regarding the statute. In addition, Congress could have passed this statute outside of SOX to avoid being seen as overreaching if obstruction of justice related to documents was actually an issue outside of corporate fraud.
ContributorsGonzalez, Joana (Author) / Samuelson, Melissa (Thesis director) / Lowe, Jordan (Committee member) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
In this paper, I have designed a business model for a new type of fashion retail
store. This store will perfect the personal styling experience by utilizing customer and
apparel data to make individualized apparel recommendations. The format of this store
will heavily reduce the amount of search time for customers by only showing clothing
pieces that each person is likely to purchase, based on predictive analytics. In order to
plan this business model and determine whether a company of this style could be
successful, this paper includes research on the current environment of the fashion
industry, the company’s potential target market segmentation, and tactics for developing
the best customer offering.
store. This store will perfect the personal styling experience by utilizing customer and
apparel data to make individualized apparel recommendations. The format of this store
will heavily reduce the amount of search time for customers by only showing clothing
pieces that each person is likely to purchase, based on predictive analytics. In order to
plan this business model and determine whether a company of this style could be
successful, this paper includes research on the current environment of the fashion
industry, the company’s potential target market segmentation, and tactics for developing
the best customer offering.
ContributorsTrevino, Alexandra (Author) / Riker, Elise (Thesis director) / Schlacter, John (Committee member) / WPC Graduate Programs (Contributor) / School of International Letters and Cultures (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05