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 …

Impact Of Pandemic And Digital Transformation On Global Accounting Profession, Kamala Raghavan

Journal of Global Awareness

The COVID-19 pandemic made 2020 the most difficult and challenging year in ways that no one could have predicted, causing major disruptions with unprecedented changes affecting worldwide economies. Its impact has been multidimensional at the personal, organizational, and societal levels. Organizations in all sectors have been focusing on their immediate survival only. World economic output had the most significant drop in over 75 years and affected people's daily routines in almost every country. However, the same disruptive forces of the pandemic accelerated the digital transformation and innovation, causing business practices in the accounting profession to leapfrog decades ahead. This paper …

Enhanced Data Science Methods For Freight Optimization At Kelly-Moore Paints, Lance Dacy, Reannan Mcdaniel, Shawn Jung

SMU Data Science Review

Kelly-Moore Paints is a paint manufacturing company founded in San Carlos, California in 1946 by William Kelly and William Moore. It has stores located in California, Texas, Oklahoma, and Nevada. They currently own 11 42’ trailers, contract 4 distinct drivers, and service 44 stores Monday-Thursday from its Texas Distribution and Manufacturing Center in Hurst, TX. Given that transportation costs are typically the highest in the supply chain costs, this study will employ data science techniques to ensure the transportation routing, store ordering mechanism, and trailer utilization are at the best efficiency possible given the current ordering patters of the stores. …

A Bibliometric Analysis Of Iso 9000 Research From 2015 To 2020 Using Vosviewer Application, Ilham I

Library Philosophy and Practice (e-journal)

This study aims to map scientific publications in the field of ISO 9000 visually at the global level indexed by scopus using bibliometric analysis. This study focused on articles of ISO 9000 at the international level. Research data were obtained from the Scopus database in Januari 2021 through the publish or perish software. All the discussions and analysis in this paper is based on the 46 papers consisting of 35 article, 4 conference papers, 3 reviews, 3 chapters and 1 book. Then the paper will be analyzed using the VOSviewer application for viewing and creating the desired bibliometric maps. In …

Bitcoin: The Pioneer Of Cryptocurrency With A Limited Dream, Anna M. Gellerman, Benjamin Zheng

Publications and Research

BitCoin is the most well known and adaptable cryptocurrency today. Due to the evolvement of the cryptocurrency market, many are thinking what this could mean for society; is the world ready for a new mainstream medium of exchange? This poster argues that although BitCoin is functional for small scale payments, it is inadaptable to become a payment tool comparable to cash and card.

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 …

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 …

Alumnus Leads Data Tech Firm That Helps Hospitals Curb Costs

Business Exchange

A profile of Dan Michelson (MBA ’94), who celebrates his ninth year as CEO of Chicago-based Strata Decision Technology, about his work, his career path, and his passion projects.

Price Elasticity Of Demand In The Market For Governance In Businesses Location Decisions In Oecd Nations From 2015-2019, Luke Kendall

Senior Honors Theses

This study proposes a framework of viewing the competition between governments to attract businesses into their jurisdiction as a competitive market. Literature is reviewed on the market forces and incentives of businesses and governments in location decisions. A possible gap in the literature of quantifying the price elasticity of competition between national governments for business activity is identified. OECD data is analyzed using equations supported by literature and results are evaluated to better understand the elasticity of international location decisions. The results of this study indicate that elasticity varies widely between countries, and countries with smaller economies may face more …

Wonderfully Made In The Making: A Strategic Recommendation For Growth Opportunities, Kayley Scott

Theses/Capstones/Creative Projects

I was partnered with a local non-profit organization, called Wonderfully Made, to identify and solve a strategic problem they are experiencing. Wonderfully Made is focused on serving girls of color with special needs. I analyzed internal resources and weaknesses and I researched external factors that affect them. I found that Wonderfully Made needed to explore growth opportunities through a strategic alliance with a college organization, ideally an NPHC sorority at UNO. This would create a mentorship opportunity for the participants in the organization. It would also create growth with minimal time and resources needed from Wonderfully Made’s busy board. If …

A Sweet Future For Sugar Makery: A Deeper Dive Into Small Business Consulting, Samuel Lauritsen

Theses/Capstones/Creative Projects

This case study investigates a local candy store in Glenwood and Council Bluffs Iowa. Processes, consistency and concise planning promoted the rapid growth of Sugar Makery into two locations in three short years. Results from the analyses indicate that the main problem facing Sugar Makery is sustaining its differentiated strategy from new industry entrants, key recommendations to sustain its success are presented. Every company has its own strengths, weaknesses, opportunities, and threats. The key is identifying each to be able to capitalize on competitive advantages, mitigate the damage done by weaknesses, take advantage of opportunities and create plans to avoid …

Uri And Its Students: A Contract For The Provision Of A Safe Environment, Danielle Joan Beatrice

Senior Honors Projects

DANIELLE BEATRICE (English; Philosophy; Business) URI and Its Students: A Contract for the Provision of a Safe Environment

Sponsor: Judith Swift (Communication Studies, Coastal Institute)

When students begin to attend college, they expect to be consumed with busy schedules, heavy workloads, and an exciting social life. Students do not anticipate being in dangerous situations. However, this does not mean that such situations do not occur. Therefore, it is essential to teach students to be active participants in educating themselves and their peers regarding prevention and response to emergency situations. My Honors Project aims to increase the awareness of safety-related issues …

Fundamental Principles Of Accounting: A Series Of Case Analyses, Bridget Mcmillan

Honors Theses

Over the past four years at the University of Mississippi, I acquired knowledge about the accounting profession and the application of accounting principles that have arisen throughout the evolution of modern professional accounting. For the thesis requirement in accordance with the standards set by the Patterson School of Accountancy and the Sally McDonnell Barksdale Honors College, I completed a series of case studies covering a variety of topics related to the study of accounting. Under the direction of Victoria Dickinson, I completed these cases over the 2019-2020 academic year. Each case introduces a unique topic and presents findings about various …

Risk_Dash, A Python Framework To Model Portfolio Risk, Alexander Van Oene

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

While there are many Python packages that provide ways to do data analysis, in fact the package utilizes pandas, numpy, and scipy heavily, there are few that apply and handle common tasks that analysts face in quantifying market risk. pyfolio is one of those packages, however it forces you to utilize their infrastructure package Zipline where as risk_dash aims to provide a framework to formalize the data flow while being totally customizable for the analyst. risk_dash is comprised of classes and methods to handle the data flow and calculation of market risk metrics at the asset and portfolio level. In …

Arbor Day Foundation Tree Programs Recommendations Report, Lane Knott, Mary Morton, Peyton Walker, Haley Faust, Kyler Caverzagie, Alex Sanchez

Honors Theses

Executive Summary

Project Description

We explored ways for the Arbor Day Foundation (ADF) to increase the value proposition for Tree Cities and Tree Campuses through application addendums and existing organizations.

Recommendation

We propose including an addition to the Tree City application for a grant awarded to Tree Cities that plant trees in underserved areas of the community.

We also recommend inviting Tree Campus to join the Alliance for Community Trees (ACT). Through membership, they will attend and participate in the Partners in Community Forestry Conference.

Rationale

The Tree City program is being under-utilized in connecting resources with communities. ADF can …

Equitable Distribution Of Covid-19 Vaccines: Can Data Visualization And Optimization Help?, Zhennan Wang

Honors College Theses

Coronavirus disease (Covid-19) is known as an infectious disease that has a bigger impact on urban areas with high-density populations. In New York City, however, there are huge differences in the impacts of Covid-19 at the neighborhood level. In addition, there is a negative correlation between the Covid Case Rate and the Vaccination Rate, and areas that are affected the most have poor socio-economic conditions. To better address the equitable distribution of Covid-19 vaccines, I collected social and economic data from Community Health Profiles as well as Covid-19 data from NYC Health. Using this data I created visualizations in Tableau …

Integrating Systems, Processes, And Human Judgment: Three Essays On Value Creation With Supply Chain Analytics, Rebekah Inez Brau

Graduate Theses and Dissertations

Big-data, analytics, automation, and machine learning are changing the role of managers in supply chain and operations functions. Extant research indicates that effective value creation by analytics is achieved through careful attention to three components: technology, people, and processes. As such, the purpose of my dissertation is to improve the integration of people in current supply chain and operations management systems with ever-changing technologies and processes. I focus on one critical function—demand planning—since it is increasingly influenced by predictive analytics yet can still require human judgment. My dissertation is comprised of three essays as follow.

In Essay 1, I implement …