Business Analytics Commons^™

A Strategic Audit Of Nintendo Co., Ltd., Emily Wagner

Honors Program: Senior Projects (Public)

The astounding success of the Nintendo Switch since its launch in March 2017 has brought Nintendo back into the spotlight of the gaming industry. However, what strategies led to the Switch’s success, enabling Nintendo to come back from the complete and utter failure of the Wii U? Also, what does Nintendo need to do to maintain its success over the lifetime of the Switch and beyond? This paper offers a strategic analysis of Nintendo, examining the company’s history, recent products, competitive advantages, and reasons for the success of the Switch. It also provides an analysis of Nintendo’s internal and external …

The Use Of Blockchain Technology To Solve Common Challenges In The Supply Chain, Michael Cohen

Thinking Matters Symposium Archive

When blockchain was first invented by Satoshi Nakamoto in 2008 it was thought to only be used for Bitcoin; a digital currency. It had been used to record transactions made without needing a third party authenticator. Blockchain showed the ability to reduce costs, speed up transactions, and reinvent the processes of how things are done. Once people fully understood what blockchain does, entrepreneurs and investors realized it could be used for much more than just a cryptocurrency. It could be applied to transportation, products sold, food, the medical industry, and much more.
With the help of blockchain, industries can operate …

Decision Making On Pursuing Computer Science Masters In United States, Chaitali Sunil Sawant

Engineering and Technology Management Student Projects

Graduate study comprises of sophisticated degree program which focuses on academic mastery or profession. It will build a strong foundation which emphasis on research and practical training. When it comes to pursuing master, there are many options to consider but the most important option is college and your interest. As USA is a home to many of the world’s most prestigious universities (including half of the global top 10), and hosts more international students than any other country. The master’s degree in USA is mostly research-based which helps the students to build skill set and knowledge that help them grow …

Amarcord Inc: Combating Money Laundering Using Data Analytics, Alyssa Ardai

Honors Program Contracts

This case study of Amarcord Incorporative will be discussing how Amarcord combats money laundering using data analytics. With the addition of new laws from 1970-current, it is harder for money laundering to be committed due to the requirement of reports and bank inspections. Using data analytics techniques such as the time-series analysis, we can analyze data sets to look closer and tell what transactions are money laundering, and what are actual ones.

Effects Of Terrorism On The U.S. Stock Market: Evidence From High Frequency Data, Kyla Scanlon

Mahurin Honors College Capstone Experience/Thesis Projects

This paper investigates the effects that terrorist attacks and mass shootings had on the U.S. stock market, using high frequency intraday data to identify stock price and variability reactions in the hours after the attack. The impact that terrorist attacks had on price level variability was examined using the generalized autoregressive conditional heteroskedasticity (GARCH) model. The market reaction to domestic versus foreign attacks was examined to measure a potential for contagion across financial markets. The potential for flight-to-safety/quality and capital reallocation in response to terrorist attacks were measured using ordinary least squares (OLS) model, measuring the respective betas of small …

2019 Ijbe Front Matter, Tamra Connor

International Journal for Business Education

1. Editorial Board
2. President's Letter
3. SIEC-ISBE International

Hierarchical Decision Model For Housing Decision In The Portland Metropolitan Area, Adediji Adewunmi

Engineering and Technology Management Student Projects

The Portland Metropolitan Area is one of the fastest growing in the Nation. A good percentage of in-migrants to Oregon end up in this area. This study aimed at creating a model to help individuals decide which city on the Oregon site of the Portland metro they should purchase housing.

Decision criteria was elicited from experts using a modified form of Delphi method, an HDM model was created and experts were asked to evaluate these criteria by making pair-wise comparisons. Once the HDM model was computed, the means were analyzed and it was determined that the city of Beaverton was …

Adidas: A Strategic Audit, Rebekah Birch

Honors Program: Senior Projects (Public)

Adidas is a leader of today’s sportswear industry with its core competencies being footwear and apparel. Adidas employs various strategies to remain competitive in the industry against powerful companies including Nike and Under Armour. The industry is strongly defined by the high levels of competitive rivalry, among other forces. Adidas is directly affected by various factors in their external environment including political, economic, social, technological and environmental factors. It also has various opportunities and threats that affect its external environment and help determine the company’s success. Adidas’s internal environment explains the basis of their strategic decisions and why certain aspects …

Strategic Audit Of Proxibid, Maxim Van Klinken

Honors Program: Senior Projects (Public)

Proxibid is a platform for connecting buyers and sellers of high-value items. As part of their continued growth, they are running into issues with the categorization of their goods into their hierarchy since the classification of these items is becoming a monumental task that will become unreasonable for humans to do. They have dedicated employees to manually classify well over 10,000 incoming items into over 2000 categories every week. The bulk of those items come in the later half of the work week. This paper will focus on how to tackle this problem while remaining competitive and preventing future growth …

Ibm Cloud Strategic Audit, Jack C. Johnson

Honors Program: Senior Projects (Public)

An examination of IBM Cloud's strategy and history and a recommendation for what to do moving forward.

The Importance Of School District Quality In The Columbus Real Estate Market, Ryan Karapas

Undergraduate Honors Thesis Projects

Using a random sample of 100 houses sold between the months of October 2018 and January 2019 in the greater Columbus, Ohio area, this paper investigates the relationship between school district quality and the selling price of houses. The results show that school district quality has a positive and statistically significant influence on the Columbus real estate market. An increase of one letter grade in school district quality (calculated using output-related factors such as student performance) leads to a 13% increase in the selling price of a house. When using the average house price in my data set of $254,000, …

Geographic Analysis Of Marching Band Culture (College And High School Ensembles), Steven Deamon

Honors Projects

Each marching band defines “culture” as their ensemble’s decisions on marching style, music choice, band size, instrumentation, and performance obligations. This study aims to categorize marching bands by cultural features, test if marching band characteristics are similar across a region, and explore how these trends in band culture relate to other demographic and socioeconomic trends. Research focused on bands in the Midwest and Southeastern United States and was conducted through video observation. Through analysis, it was found that most marching bands surveyed use a corps step, perform music of artistic merit, have between twenty-one and one hundred marchers, perform with …

Financial Analysis On Macy's, Inc., Emma Swenson

Dissertations, Theses, and Projects

Macy’s, Inc. is recognized as one of the nation’s leading Omni channel retailers that operates department stores, websites and mobile applications to sell finished goods. It is the parent company of Macy’s, Bloomingdale’s, and Bluemercury.

In this report, I have examined the past five years and current year’s financial statements – balance sheet, income statements and cash flow statements. A completed ratio analysis has been conducted with these data. Further, I used a discounted cash flow model to forecast future free cash flows. With my projections and valuations, the model estimates Macy’s stock price at USD 45.79 per share almost …

Development And Protection Of Economic Competition In Kosovo: Case Study Gjilan Region, Gani Asllani, Bedri Statovci, Gentiana Gega

International Journal on Responsibility

This paper investigates development and protection of economic competition in Kosovo focusing on the analysis of the level of competition in one region of Kosovo (the Gjilan region). The paper deals with the legislative aspects of competition, the sensitive sectors (banks, insurance, gas stations and pharmacies) where the competitions is damaged and finally are presented the measures on improvement based on the EU practices. Like other economies in transition, the economy in Kosovo the activity for protection of competition is faced with many challenges. Moreover, these challenges result from the fact that Kosovo was the last country in South Eastern …

The Unfree Space Of Play: Emergence And Control In The Videogame And The Platform, Logan Brown

Markets, Globalization & Development Review

This article attempts to understand the economic and informatic ramifications of the convergence between increasingly connective games and massive online platforms by considering recent trends in both that center around designing for emergence. Scholarship on emergence as a property of games overwhelmingly treats emergent design as a liberating force that privileges player agency in a virtual space. Yet, as games fuse with surrounding platform ecosystems like Steam, Facebook, and Google, those emergent behaviors are subject to vast systems of inscription that analyze user behavior in order to reshape the free space of emergence and extract greater social and financial capital. …

Saving Lives With Effective Data Visualization: Evaluating The Effectiveness Of Indiana’S Driver Education Curriculum, Aditi Vatse, Amratansh Sharma, Matthew A. Lanham Prof.

Engagement & Service-Learning Summit

No abstract provided.

How Sector Volatility Spills Into Related Markets, Singapore Management University

Perspectives@SMU

Research reveals the linkages that let a meltdown go global

Quality Of Life Research For Cal Poly Construction Management Graduates In The Bay Area And Los Angeles County, Trevor Colbert

Construction Management

Construction Management Graduates from Cal Poly San Luis Obispo graduate at an impeccable 97.5% per year. On average over 78% of graduates relocate to the Bay Area or Los Angeles County, but how are graduates basing their decision on where to relocate? Sociology professor, Mark Schneider, developed an accurate way to measure the satisfaction of residents within a given city. Through subjective and objective social indicators, Schneider is able to gauge total life satisfaction. Analyzing data from interviews with recent graduates, economic data from local, state and federal governments, and personal knowledge from living in each area – an immense …

Given Today's New Wave Of Protectionsim, Is Antitrust Law The Last Hope For Preserving A Free Global Economy Or Another Nail In Free Trade's Coffin?, Allison Murray

Loyola of Los Angeles International and Comparative Law Review

No abstract provided.

An Investigation Of The Association Between Tourist Pre-Trip Planning Time And Length Of Trip, Lodging Choice, Tourist Psychographics And Demographics: An Application Of Correspondence Analysis And Cramér’S V Effect Size, James E. Stoddard, George D. Shows

Atlantic Marketing Association Proceedings

No abstract provided.

Making The Case For Global Outsourcing: Cases Of Business Complexities And Success, Alan D. Smith, Sara Krivacek

Atlantic Marketing Association Proceedings

No abstract provided.

Dos And Don'ts Of Data Science, Ryan Burton

SDSU Data Science Symposium

In an ideal world, we avoid all mistakes in our work. Some mistakes are preventable and others are unavoidable. A few common mistakes in data science that can be minimized include assuming correlation implies causation, modeling with an unrepresentative sample, and focusing on the mean without understanding the distribution. This talk will give an overview of some of the simple yet common mistakes in data science and guidance on how to avoid them.

Preventing Accounting Fraud, Singapore Management University

Perspectives@SMU

Technology can help identify possible fraud but it might not overcome ‘capture theory’

Economic Impact Study: Downtown Market Grand Rapids, Grand Valley State University, Christian Glupker

Other Faculty Publications

Purpose of study This study focuses on the economic impact of the Market from four perspectives:

1. Visitors who traveled for the express purpose of visiting the Market
2. Visitors who visited the Market while already in Grand Rapids
3. Tenant activity within the Market
4. The Market’s impact on local business revenue and job creation

Try, Try Again: Lessons Learned From Success And Failure In Participatory Modeling, Eleanor J. Sterling, Moira Zellner, Karen E. Jenni, Kirsten Leong, Pierre D. Glynn, Todd K. Bendor, Pierre Bommel, Klaus Hubacek, Antonie J. Jetter, Rebecca Jordan, Laura Schmitt Olabisi, Michael Paolisso, Steven Gray

Engineering and Technology Management Faculty Publications and Presentations

Participatory Modeling (PM) is becoming increasingly common in environmental planning and conservation, due in part to advances in cyberinfrastructure as well as to greater recognition of the importance of engaging a diverse array of stakeholders in decision making. We provide lessons learned, based on over 200 years of the authors’ cumulative and diverse experience, about PM processes. These include successful and, perhaps more importantly, not-so-successful trials. Our collective interdisciplinary background has supported the development, testing, and evaluation of a rich range of collaborative modeling approaches. We share here what we have learned as a community of participatory modelers, within three …

A Product Affinity Segmentation Framework, Lili Zhang, Jennifer Priestley, Joseph Demaio, Sherry Ni

Published and Grey Literature from PhD Candidates

Product affinity segmentation discovers the linking between customers and products for cross-selling and promotion opportunities to increase sales and profits. However, there are some challenges with conventional approaches. The most straightforward approach is to use the product-level data for customer segmentation, but it results in less meaningful solutions. Moreover, customer segmentation becomes challenging on massive datasets due to computational complexity of traditional clustering methods. As an alternative, market basket analysis may suffer from association rules too general to be relevant for important segments. In this paper, we propose to partition customers and discover associated products simultaneously by detecting communities in …

Regional Integration, Multinational Enterprise Strategy And The Impact Of Country‐Level Risk: The Case Of The Emu, Jenny Hillemann, Alain Verbeke, Won-Yong Oh

Management, Entrepreneurship and Technology Faculty Research

The European Monetary Union (EMU) provides a new macro‐level, institutional setting for multinational enterprises (MNEs). The authors investigate the impact of regional integration on MNE strategy by analysing Belgian firms’ entry‐mode choices in foreign markets, both EMU and non‐EMU ones, with a focus on what impact remains of country‐level risk. They demonstrate that regional integration has altered the impact of country‐level institutional risk on MNE entry‐mode choices inside the EMU. The conventional predictions of international business theory have been reversed, with higher country‐level risk inside the EMU driving a preference for wholly owned subsidiaries. Within the integrated region, insider firms …

Improving Vix Futures Forecasts Using Machine Learning Methods, James Hosker, Slobodan Djurdjevic, Hieu Nguyen, Robert Slater

SMU Data Science Review

The problem of forecasting market volatility is a difficult task for most fund managers. Volatility forecasts are used for risk management, alpha (risk) trading, and the reduction of trading friction. Improving the forecasts of future market volatility assists fund managers in adding or reducing risk in their portfolios as well as in increasing hedges to protect their portfolios in anticipation of a market sell-off event. Our analysis compares three existing financial models that forecast future market volatility using the Chicago Board Options Exchange Volatility Index (VIX) to six machine/deep learning supervised regression methods. This analysis determines which models provide best …

Ample Provision: A Preliminary Study Relating Budget Composition And High School Graduation Rates In Select Washington State Public School Districts, Gregory P. Gadow

All Undergraduate Projects

How to allocate scarce resources for an optimal outcome is of keen interest to those who set the budgets in public education. Simply throwing money at schools is not enough; it is important that money is spent where it will do the most good. This study considers Washington State public school districts and examines how the share of per-student expenditures in seven budget categories relates to on-time high school graduation rates. It is an investigative study, exploring whether there is enough evidence to merit further, more in-depth research. Using budget and graduation information from academic years 1997-98 through 2016-17 for …

2018-2019 Morehead State University Audit Report, Morehead State University. Accounting And Financial Services Office.

Morehead State University Audit Reports

2018-2019 Audit Report for Morehead State University.