Business Commons^™

The Application Of Design Thinking On Evaluating A User Self-Service Data Analytics/Science Platform, Aheeka Pattnaik

Dissertations and Theses

This thesis is aimed at utilising design thinking and the first half of the double diamond framework to i) set-up a research and select the appropriate participants, ii) gather requirements and define user personas from those eligible participants, and then iii) define the framework for evaluating a user self-service data analytics/science platform. Derived from the author’s own experiences, both as a Business Analyst (BA) and Citizen Data Scientist, with no-, low-, and code-based data analytics and science platforms are being implemented for enabling user self-service analytics – for users who are completely new to the space of data analysis and …

An Application Of The Financial Instability Hypothesis, Rf Abu-Ismail

Archived Theses and Dissertations

No abstract provided.

Speculative Bubbles And Financial Crises, Ashraf Mohamed Abdel Samea Ahmed

Archived Theses and Dissertations

No abstract provided.

The Volatility Implications Of The Chinese Cryptocurrency Ban, Keaton Manwaring

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

In this paper, I examine the effect of the May 18^th, 2021 Chinese ban of cryptocurrency transactions on the overall volatility of the cryptocurrency market. To do this, I analyze, in both univariate and multivariate settings, range-based volatility in various event windows surrounding the event. I find clear economic and statistical change in volatility in the five days after the ban. In the ten-day period after the ban, there is a moderate economic change in volatility. In the forty-day period after the ban, there is little economic change in volatility. I conclude that the Chinese ban had a …

Supply Chain Management Integration With Blockchain, Venkat Veramallu

Electronic Theses, Projects, and Dissertations

Maintaining the integrity of data within the supply chain is a challenge. Many current implementations lack a capability to provide a trustworthy system for the stakeholders in a supply chain, making communication amongst stakeholders easy but unreliable. Organizations are considering blockchain technology as it provides access control, immutability, transparency and trust amongst the stakeholders in a supply chain. This project is an investigative study on the benefits and challenges of implementing blockchain technology in supply chain management, a framework for integration of blockchain technology, and a project prototype which shows a blockchain use case implementation in supply chain management. The …

Human Resource Information Systems: Implementing Data Analytics Techniques In Human Resource Functions, Prachi Tembhekar

Electronic Theses, Projects, and Dissertations

This project investigated analytical techniques used by organizations across many industries for HR functions, and how data analytical techniques can help HR departments work efficiently. The goal was to look into the obstacles and opportunities that companies have when using HR analytics as a tool in their businesses. This project used secondary data acquired from earlier research articles, journals from the years 2016 to 2019, blogs, and websites to investigate theories and applications of HR analytics. It also examined the need of analytics to assist HR leaders in thinking about the implications of these technologies in future work and how …

Integration Of Internet Of Things And Health Recommender Systems, Moonkyung Yang

Electronic Theses, Projects, and Dissertations

The Internet of Things (IoT) has become a part of our lives and has provided many enhancements to day-to-day living. In this project, IoT in healthcare is reviewed. IoT-based healthcare is utilized in remote health monitoring, observing chronic diseases, individual fitness programs, helping the elderly, and many other healthcare fields. There are three main architectures of smart IoT healthcare: Three-Layer Architecture, Service-Oriented Based Architecture (SoA), and The Middleware-Based IoT Architecture. Depending on the required services, different IoT architecture are being used. In addition, IoT healthcare services, IoT healthcare service enablers, IoT healthcare applications, and IoT healthcare services focusing on Smartwatch …

The Oakland Athletics Use Of Sabermetrics And The Rise Of Big Data Analytics In Business, Jacob Moorefield

Honors Theses

The Moneyball phenomenon revealed how Billy Beane, the Oakland Athletics general manager utilized advanced data analytics; Sabermetrics, to statistically analyze the data in baseball which aims to quantify baseball players’ performances based on objective statistical measurements. As technology increases and big data becomes more accessible, sports organizations like the Oakland Athletics are illustrating how businesses, small and large, can use advanced analytics to promote growth. This research paper provides a meta-analysis on the results of large businesses using big data analytic techniques similar to Sabermetrics, to show the improvements in marketing, consumer outreach, revenue, and employee retention while questioning whether …

Sustainability In Commercial Office Buildings, Jack Cullen

Construction Management

Sustainability in the construction of commercial structures has been expanding through the recent years, largely in part due to the increasing ambitions to maintain a green and healthy planet. Regulations for including sustainable features in new or renovated commercial buildings have been growing throughout the country. In fact, many prospective buyers and lessees are even adding sustainable features to the list of what they look for in a potential place to buy or rent. This report will explore whether or not a building’s sustainable aspects appeal to buyers and lessees of commercial buildings, and if these sustainable aspects contribute to …

An Examination Of Why 4-H Is Beneficial, Makayla Aichholz

Honors Projects

4-H is the largest youth organization in the United States, therefore it has an impact on many lives across the nation. As a former 4-H member myself, I wanted to discover what some of the benefits of this organization are. I started my project by researching how 4-H began and what members in the organization participate in while also using my personal experience as background knowledge. I then looked at a variety of different studies that examined some of the benefits of 4-H, specifically in alumni. These other studies were used to guide the research I conducted. Also, I found …

Forecasting Demand For Optimal Inventory With Long Lead Times: An Automotive Aftermarket Case Study, Chris Anderson

Dissertations

Accuracy in predicting customer demand is essential to building an economic inventory policy under periodic review, long lead-time, and a target fill rate. This study uses inventory and customer service level as a stock control metric to evaluate the forecast accuracy of different simple to more complex predictive analytical techniques. We show how traditional forecast error measures are inappropriate for inventory control, despite their consistent usage in many studies, by evaluating demand forecast performance dynamically with customer service level as a stock control metric that includes inventory holdings costs, stock out costs, and fill rate service levels. A second contribution …

Analytics-Based Optimization For The Integration Of Drones Into Last-Mile Logistics, Amro M. El-Adle

Doctoral Dissertations

The growing volume and consistency of online ordering has renewed focus on the optimization of logistics and interest in technology-driven supply chain operations. Recent trials have demonstrated the viability of using unmanned aerial vehicles (UAVs), known colloquially as drones, in last-mile deliveries. In minimizing delivery times for customers, reducing the load of logistics workers, and reducing congestion and pollution per delivery, the integration of drones into traditional delivery networks presents transformative potential to benefit consumers, firms, and society at large. This dissertation investigates operational and tactical problems that inform routing and assignment decisions for vehicle-drone delivery systems. In three essays …

Organizational Decision-Making In The Age Of Big Data And Artificial Intelligence, Anh Luong

Dissertations, Theses, and Capstone Projects

This dissertation examines organizational decision-making in the context of big data and artificial intelligence (machine learning) technologies. There are three studies. All three focus on collaborative decision-making in organizations, with study 1 examining it in the context of big data, while study 2 and 3 in the context of artificial intelligence.

Study 1: This study examines the impact of different manners of presenting information on collaborative decision-making performance. Using controlled economic experiments, I assign participants with a resource allocation decision-making task (adapted from the game theoretic public goods provision problem) and examine the collaborative outcomes of groups when exposed to …

A Financial Analysis Of Five Different Firms, Shane Sazzman

Theses/Capstones/Creative Projects

There are several ways to analyze a business. Looking at a company’s risk position. Measuring a businesses profitability, liquidity, stock prices, bankruptcy, and leverage. Overall, using historical and current data to predict future success. This report conducts a business analysis by looking at the impact of the coronavirus for five different companies in five different industries that are in five different countries. It has looked at financial results during the periods of pre-coronavirus, throughout, and after. Through this, a financial analysis was created to look at the long-term impacts and results of the coronavirus for these five conglomerates. The companies …

Impact On Revenue Generation Of Olist Ecommerce Company On The Basis Of Various Product Parameters, Trupti Sanjay Niwate

Electronic Theses, Projects, and Dissertations

E-commerce business is the most trending business in the entire world. Due to the COVID-19 pandemic, the global market of e-commerce is much more active than the traditional in-store market. Over the period, people used the internet more, which has incentivized them to shop online because it saves time and effort.

Specifically, in Latin America, the E-Commerce business is expanding at a tremendous rate. In particular, Brazil is a major business hub when we consider an e-commerce business since it has given a major impact on the world‘s total e-commerce business. Olist, the main e-commerce company which helps other marketers …

Rise Of Facebook, Amazon, Apple, Netflix, Google During Covid-19 Pandemic, Shivraj Pisal

Electronic Theses, Projects, and Dissertations

FAANG is an acronym for Facebook, Apple, Amazon, Netflix, and Alphabet (which was previously known as Google), the five most important technology giants in the United States. The technology breakthroughs of these companies have had a significant impact on global economies, since they create jobs, link people, supply goods, and generate entertainment. As a result, a detailed analysis of FAANG stocks adds to the existing body of knowledge. Furthermore, because stock markets are very volatile and are influenced by a variety of known and unknown causes, it is vital to employ adequate tools for assessing their behavior (Jadhav et al., …

Stock Market Forecasting Based On Artificial Intelligence Technology, Yuzhun Liang

Electronic Theses, Projects, and Dissertations

This culminating experience project used artificial intelligence (AI) technology to forecast and analyze the stock market and construct complex nonlinear relationships between the input data and the output data. This project used a radial basis function neural network to forecast and analyze the stock market data. Compared the radial basis function neural network performance with the feed-forward neural network and clearly showed the superiority of the radial basis function neural network over the feed-forward neural network in the data processing. The results showed that AI technology could effectively predict stock market performance. Based on the results, the conclusion is that …

Personal Data Privacy And Protective Federal Legislation: An Exploration Of Constituent Position On The Need For Legislation To Control Data Reliant Organizations Collecting And Monetizing Internet-Obtained Personal Data, Giovanni De Meo

Dissertations

In the past twenty years, the business of online personal data collection has grown at the same rapid pace as the internet itself, fostering a multibillion-dollar personal data collection and commercialization industry. Unlike many other large industries, there has been no major federal legislation enacted to monitor or control the activities of organizations dealing in this flourishing industry. The combination of these factors together with the lack of prior research encouraged this research designed to understand how much voters know about this topic and whether there is interest in seeing legislation enacted to protect individual personal data privacy.

To address …

Budget Gaming: Politics, Ethics, And Compensation, Gretchen Decker

Dissertations

Practitioners are frustrated with the budgeting process, frequently complaining that budgets cause undesirable and political behaviors in the organization (Jensen, 2001). One of the most frequent problems is budget gaming, which critics consider non-value added and frustrating. In a 2010 survey, over 95% of respondents acknowledged that budget gaming exists at least “occasionally” (Libby & Lindsay, 2010). Previous studies indicate budget gaming is frustrating, prevalent, and wasteful (Hansen et al., 2003; Libby & Lindsay, 2007; Neely et al., 2003).

I conducted an experiment to investigate organizational influences (organizational politics, compensation condition, ethics attestation) and their impact on budget gaming. The …

Audit Firms’ Response To Audit Failures: Evidence From Partner Resource Reallocation, Elizabeth Cowle

Graduate Theses and Dissertations

I investigate whether audit firms reallocate partner resources following restatement announcements and, consequently, whether a supply-side response is beneficial in mitigating the previously documented implications of realized audit failures. I find a positive association between prior period restatement announcements and the year-over-year percentage change in the number of engagement partners allocated to a local audit office. Further analysis suggests that a supply-side response is beneficial in mitigating the persistence of low-quality audits and lost market share. However, I also find some evidence suggesting that the reallocation of partner resources can be detrimental to audit quality at offices from which partners …

The First Sign: Detecting Future Financial Fraud From The Ipo Prospectus, Lisa Spadaccini Anderson

Graduate Theses and Dissertations

In this study, I examine whether it is possible to predict future financial statement fraud using disclosure content prior to the fraud. Specifically, I employ a machine learning algorithm to construct a unique measure based on the lexical cues embedded within a firm’s first public disclosure, the Management’s Discussion and Analysis section of the S-1 filing, during the Initial Public Offering process. I use this measure to predict whether a firm that is not already committing fraud will commit fraud within five years of the Initial Public Offering (IPO) that results in an Accounting or Enforcement Release (AAER). I find …

Essays On Managerial Attributes And Corporate Finance, Juntai Lu

Graduate Theses and Dissertations

In my dissertation, I explore how managerial attributes affect corporate policies.

In my first essay, I examine the effects of public firm CEOs’ prior private equity (PE) target experiences on corporate policies. Based on difference-in-differences and propensity score matching analyses, public firm CEOs previously serving as CEOs in PE targets reduce investment by about 15 percent while enhancing patent values by over 7 percent after taking office compared to CEOs without such experiences. The effects are stronger if these CEOs (1) worked in targets invested by more reputable PE firms, (2) worked in targets invested by PE firms known for …

Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification, Sarah Youssef

Theses and Dissertations

Stock market manipulation detection is important for both investors and regulators. Being able to detect stock manipulation and preventing it gives investors the confidence in the market fairness and integrity. It also helps maintaining liquidity of the stocks and market efficiency. Implementing data mining algorithms in manipulation detection is a relatively recent technique but in the past few years there has been an increasing interest in it's applications in this domain. The benefit of monitoring manipulative trade behavior is that it can be implemented on live feed of stock data, which saves a lot of time in detecting stock price …

Percepción En Los Hogares Bogotanos Del Impacto Del Tlc Con Ee. Uu. Sobre El Precio Y La Disponibilidad De Los Productos Agrícolas La Canasta Básica Familiar, Vanesa Otalora Cajamarca, Andres Felipe Medina Rincón

Negocios y Relaciones Internacionales

El presente trabajo de investigación se enfoca en el estudio de los factores microeconómicos de la firma del Tratado de Libre Comercio con Estados Unidos; de forma puntual, la influencia de este acuerdo en la percepción de disponibilidad de productos de la canasta básica familiar y sus precios. En este sentido, el objetivo de esta investigación es: analizar la percepción en los hogares bogotanos acerca del impacto del Tratado de Libre Comercio con EE. UU. con base en el precio y la disponibilidad de los productos de la canasta básica familiar. Para dar respuesta a este objetivo se utilizará una …

A Method For Monitoring Operating Equipment Effectiveness With The Internet Of Things And Big Data, Carl D. Hays Iii

Master's Theses

The purpose of this paper was to use the Overall Equipment Effectiveness productivity formula in plant manufacturing and convert it to measuring productivity for forklifts. Productivity for a forklift was defined as being available and picking up and moving containers at port locations in Seattle and Alaska. This research uses performance measures in plant manufacturing and applies them to mobile equipment in order to establish the most effective means of analyzing reliability and productivity. Using the Internet of Things to collect data on fifteen forklift trucks in three different locations, this data was then analyzed over a six-month period to …

Base Erosion And Profit Shifting In Continental Africa And Beyond, Nathan Olsen

Honors Theses

Base erosion and profit shifting has become the latest burden on countries’ tax revenue collection agencies the world over. Recent studies have found how it occurs in the both the developed and developing world, but these same studies haven’t answered the question of why in the developing world. This thesis tries to answer that question concerning Africa, which is a continent full of developing nations. Using Base Erosion, Profit Shifting, and Developing Countries (Crivelli et. al, 2015) which outlines how the international economy is interconnected through a tax base spillover estimation, this paper turns its attention towards the developing nations …

Stock Prediction Using Natural Language Processing Sentiment Analysis On News Headlines During Covid-19, Mina Ibrahim

Theses and Dissertations

Stock prediction based on NLP sentiment analysis is one of the most researched topics due to the revenues they generate for investors. Researchers have used various tools to achieve this, especially fundamental and technical analysis based on historical data helped to achieve this target. Due to the technological advancement and abundance of data, the introduction of machine learning tools accelerated that approach. However, as the public mood affects the stock market, the need for another analysis emerged. Natural language processing sentiment analysis on data from various sources was able to capture public events and moods. NLP is one of the …

Stock Markets Performance During A Pandemic: How Contagious Is Covid-19?, Yara Abushahba

Theses and Dissertations

Background and Motivation: The coronavirus (“COVID-19”) pandemic, the subsequent policies and lockdowns have unarguably led to an unprecedented fluid circumstance worldwide. The panic and fluctuations in the stock markets were unparalleled. It is inarguable that real-time availability of news and social media platforms like Twitter played a vital role in driving the investors’ sentiment during such global shock.

Purpose:The purpose of this thesis is to study how the investor sentiment in relation to COVID-19 pandemic influenced stock markets globally and how stock markets globally are integrated and contagious. We analyze COVID-19 sentiment through the Twitter posts and investigate its …

It Usage In Auditing And The Impact Of Covid-19, Olivia Beechem

Undergraduate Theses

The COVID-19 pandemic has drastically changed the world as we know it, and the audit field is no exception. The transition for a majority of public accounting firms and their clients to remote work amidst a global pandemic sparked my interest in the already rapidly evolving field of audit IT usage, which continually affects audit quality and efficiency. My research expands on existing studies completed on this topic prior to COVID-19 and includes three main research objectives. First, my research examines the usage and perceived importance of common types of IT audit applications, such as CAATs and data analytics, as …

Accounting Implications Derived From Consumer Big Data, Benjamin E. Boehrns

Honors Thesis

Consumer big data is changing the traditional framework of business by providing an unprecedented amount of information regarding consumer behaviors. Technological advances of the twenty-first century have enabled businesses to collect these behaviors within automated processes. The ease of data creation has led to companies creating, storing, and analyzing voluminous subsets of data in order to achieve a higher degree of competitive advantage. These datasets not only derive value from the physical information technology systems that provides the storage and the ability of analysis, but also contains an intrinsic value that is rarely captured within traditional accounting methods. The unique …