Business Intelligence Commons^™

Docs_On_Blocks – A Defense In Depth Strategy For E-Healthcare, Saad Mohammed

Electronic Theses, Projects, and Dissertations

With the increase in the data breaches and cyber hacks, organizations have come to realize that cyber security alone would not help as the attacks are becoming more sophisticated and complex than ever. E-Healthcare industry has shown a promising improvement in terms of security over the past, but the threat remains. Thus, the E-Healthcare industries are aiming towards a Defense in Depth Strategy approach.

The project here describes how a Defense in Depth Strategy for E-Healthcare system can provide an environment for better security of the data and peer-to-peer interaction with stakeholders. The legacy systems have at some point failed …

Online Strategies For Small Businesses Affected By Covid-19: A Social Media And Social Commerce Approach, Julianne Itliong

Electronic Theses, Projects, and Dissertations

The Covid-19 pandemic has altered the way many US citizens work, live, and interact with one another. Many rules and regulations have been put in place by government officials to slow the spread of the virus because of how contagious it is in social settings. Because of these rules and regulations, many small businesses were forced to temporarily close their doors to the public in order to comply with the rules of social distancing and the ban on large gatherings. For some businesses, this shift from physical sales to digital sales has always been a part of their business models, …

Tree-Based Algorithm For Stable And Efficient Data Clustering, Hasan Aljabbouli, Abdullah Albizri, Antoine Harfouche

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

The K-means algorithm is a well-known and widely used clustering algorithm due to its simplicity and convergence properties. However, one of the drawbacks of the algorithm is its instability. This paper presents improvements to the K-means algorithm using a K-dimensional tree (Kd-tree) data structure. The proposed Kd-tree is utilized as a data structure to enhance the choice of initial centers of the clusters and to reduce the number of the nearest neighbor searches required by the algorithm. The developed framework also includes an efficient center insertion technique leading to an incremental operation that overcomes the instability problem of the K-means …

News Versus Market Sentiments, Jazib Ansari, Danish Ahmed Siddiqui Dr

The Journal of Entrepreneurial Finance

This paper investigates the impact of monetary policy announcements on the performance of the stock market in twenty countries (10 Developed and 10 developing). Exchange rate changes and changes in bond yield were taken as control. Daily basis Panel data was used with daily frequency for five (5) years (2014 – 2018). An impact of these selected independent variables on the stock market index is estimated using the regression model and Panel Least Square model. Monetary policy data has been run in three different lags i.e. lag (0), lag (-1, -2, -3, -4), and lag (1, 2, 3, 4) in …

The Link Among Board Characteristics, Corporate Social Responsibility Performance, And Financial Performance: Evidence From The Hospitality And Tourism Industry, Ali Uyar, Merve Kilic, Mehmet Ali Koseoglu, Cemil Kuzey, Abdullah S. Karaman

Faculty & Staff Research and Creative Activity

The aim of this study is twofold: to explore whether board characteristics (i.e. a sustainability committee, board independence, board diversity, and board diligence) lead to greater corporate social responsibility (CSR) performance, and to test whether CSR performance enhances firms' financial performance in the hospitality and tourism (H&T) industry. Data were collected from the Thomson Reuters Eikon database for the H&T firms listed there between 2011 and 2018. We employed panel data analysis, after which we ran robustness tests. The results indicated that having a CSR committee and female directors on the board are robust factors driving firms to show superior …

College Of Business Dean's Report: 2019-2020, Ryan Butt

College of Business Dean’s Reports

No abstract provided.

粵港澳大灣區的港資製造業經營情況、對灣區經濟貢獻與實現轉型升級發展策略顧問研究報告, China Economic Research Programme(Cerp), Lingnan University 嶺南大學中國經濟研究部

China Economic Research Programme (CERP) Research Report

本研究報告對於港資製造業這個領域的嶄新研究貢獻，主要歸結為以下幾個類別：

1. 以多項第一手數據表明，並讓香港特區政府重新認識到港資製造業在「延外發展」模式經營下對香港整體經濟佔有非常重要帶動作用、貢獻和地位；
2. 本報告通過挖掘包括國家工商總局在內的大數據方式，從而得出近年包括大灣區以至不同九個市在內的港資製造業企業數目、從業人員數目、註冊資本、營業利潤等的具體數字和變動情況；由於工商總局的註冊或登記數字的個案數比統計局的抽樣為主的統計數字更為具體，因而相關數字能夠更仔細的反映出港資製造業在大灣區內的經營情況，較具有參考價值；
3. 本報告以大數據結合問卷調查、深入訪談等方式交叉分析，互補有無，能夠發現更多港資製造業企業對大灣區的經濟貢獻具體情況，有助外界尤其是特區政府和內地相關部委了解到港資企業特別是港資製造業對整個大灣區經濟的重要性，尤其港資製造業如何對專業服務業產生帶動作用，有助社會各界重新關注振興製造業和實現製造業轉型升級的重要性，從而推出更為切合實際的具體振興方案；
4. 通過對不同企業和行業的深入訪談，可以令大家更為仔細了解港資製造業目前的經營情況、優勢所在和面對的挑戰，有助中小港資製造業企業借鑑相關經驗，從而發展壯大；
5. 這份報告的對策建議部份，內容主要針對包括內地政府、香港特區政府，以及港資製造業企業三大部分，當中具代表性和可操作性的建議，如能獲得有關方面加以關注，對促進港資製造業企業以至整個大灣區的製造業發展均有裨益。有助業界尤其兩地政府知道發展壯大港資製造業事關回應全球產業升級大趨勢，需要讓香港和灣區九市、以至整個廣東和全國的大格局在這大趨勢中去分析和綜合規劃。

A Comprehensive Analysis Of The Accounting Environment And Procedures Through A Series Of Case Studies, Ryan Mccarty

Honors Theses

The following thesis is a culmination of twelve case studies completed throughout the academic year of 2018-2019 under the direction of Dr. Victoria Dickinson, as a requirement of the Sally McDonnell Barksdale Honors College and completion of the ACCY 420 course. Each case study is independent of the next, and is an in-depth response to questions and theories that are found outside of this document. Each analysis is accomplished by myself alone and through the studies of Financial, Managerial, and Cost accounting courses in my career at the University of Mississippi. The thesis is intended to analyze accounting procedures and …

Case Analyses In Financial Accounting, Jordan Watts

Honors Theses

The following thesis explores topics in the profession of public accounting, a diverse and ever-evolving field. As the global business environment and economy develop, so must accounting standards and ideas in order to protect the interests of the masses who invest and take part in the larger economy. The following cases expound on important concepts in the field of accountancy and provide careful consideration of standards utilized and debated worldwide. Each case is explored within the context of a different company or situation, allowing for a diverse palette of research topics from which to view the business world through an …

Get A Bang For Your Puck: Hockey, Statistics, And Betting, Kathleen Capozello

Honors Projects

An exploration into the analytics of hockey and the business of sports betting. The goal of this project was to determine whether an equation could be created to predict the number of goals an NHL forward or defenseman will score in a future season based on a previous season’s data. Additionally, this paper explores the potential monetary values of such an equation, as well as the parties that may find it useful.

An Examination Of How Environmental, Social, Governance (Esg) Investing Influences A Company's Stock Return, Sam Marty

Undergraduate Honors Thesis Projects

Using a random sample of 184 companies traded on the New York Stock Exchange in 2019, this paper investigates the impact of Environmental, Social, Governance (ESG) investing on a company’s stock return. The results show that ESG investing has a positive and statistically significant impact on a company’s stock return. An increase in one ESG rating leads to an increase between 0.4% and 3.6% in the return of a company’s stock. Additionally, the results show that individual ESG factors are each statistically insignificant. This indicates that the three ESG factors need to be viewed together rather than individually. Lastly, the …

Qlime-A Quadratic Local Interpretable Model-Agnostic Explanation Approach, Steven Bramhall, Hayley Horn, Michael Tieu, Nibhrat Lohia

SMU Data Science Review

In this paper, we introduce a proof of concept that addresses the assumption and limitation of linear local boundaries by Local Interpretable Model-Agnostic Explanations (LIME), a popular technique used to add interpretability and explainability to black box models. LIME is a versatile explainer capable of handling different types of data and models. At the local level, LIME creates a linear relationship for a given prediction through generated sample points to present feature importance. We redefine the linear relationships presented by LIME as quadratic relationships and expand its flexibility in non-linear cases and improve the accuracy of feature interpretations. We coin …

A Credit Analysis Of The Unbanked And Underbanked: An Argument For Alternative Data, Edwin Baidoo

Doctor of Data Science and Analytics Dissertations

The purpose of this study is to ascertain the statistical and economic significance of non-traditional credit data for individuals who do not have sufficient economic data, collectively known as the unbanked and underbanked. The consequences of not having sufficient economic information often determines whether unbanked and underbanked individuals will receive higher price of credit or be denied entirely. In terms of regulation, there is a strong interest in credit models that will inform policies on how to gradually move sections of the unbanked and underbanked population into the general financial network.

In Chapter 2 of the dissertation, I establish the …

Under Pressure: Decision Making In Aircraft Maintenance And The Role Of Gender, Stephanie Douglas Ph.D., Bettina M. Mrusek Ph.D.

National Training Aircraft Symposium (NTAS)

In aircraft maintenance, leaders are under near-constant pressure to maintain airworthiness. Every minute an aircraft cannot fly due to maintenance represents financial waste. Decisions are therefore made in a relatively quick fashion. A leader evaluates the situation, identifies a course of action and then communicates this message to a team of technicians. However, gender influences regarding leaders’ decisions can influence team members’ perceptions of those decisions.

The study will measure decision making methods of leaders in aircraft maintenance and the perceptions of the technicians. It informs how gender influences decision making from both the leader and follower perspective. The expected …

Implementing The Malcolm Baldrige Process For A Financial Institution: An Insiders Perspective, Scott Murray

Electronic Theses, Projects, and Dissertations

The Malcolm Baldrige Framework for Performance Excellence outlines best practices for strategic and operational processes. Enterprises that achieve the award do so not for the award itself – but for the transformation that takes place along the way. Although the fifty-page summaries of Malcolm Baldrige award winning organizations are posted on the National Institute of Science and Technology (NIST) (https://www.nist.gov/baldrige/award-recipients), the process and effort used to create such applications has not been documented. This project documents and provides an internal perspective and lessons learned from the early stages of the Malcolm Baldrige journey for a medium size financial institution. The …

Financial Technology Usage 2017 Predictive Analytics Study, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.

Investigating The Influence Of A Web Based Logistics Tool On The Effectiveness Of Operations For The Center Of Innovation For Logistics Of Georgia, David Vaughn

Honors College Theses

Research suggests a correlation between advancements in logistics infrastructure and the development rate of regional economies. Some states have identified this correlation and have taken steps to create specialized entities aimed at catalyzing the growth of logistics within their state. In the state of Georgia, the Center of Innovation for Logistics is the entity responsible for coordinating logistic development activities. As part of their responsibilities, they are tasked with fulfilling information requests regarding logistics infrastructure availability throughout the state. However, the system is used to process these requests is antiquated and extremely inefficient. In an attempt to ameliorate this process, …

Cambridge Analytica: The Scandal On Data Privacy, Carissa Boerboom

Augustana Center for the Study of Ethics Essay Contest

Consumers need to understand the risks and consequences of sharing their lives with the world. For data analysts, even if you can create and implement a model, should you? This research paper discusses Cambridge Analytica’s methods using predictive analytics and Facebook to influence the 2016 US Presidential Election. Through examining the firm as a whole, key people involved in the scandal, methods of data collection, and Facebook’s role, the ethical boundaries of big data, predictive analytics, and data privacy are analyzed. Three perspectives were discussed in regards to ethical disparity: Cambridge Analytica, Facebook, and the consumers. Overall, this research exposes …

An Econometric Evaluation Of Localism And Other Potential Success Factors In California’S Craft Brewing Industry, Connor Sinclair

CMC Senior Theses

As growth of the American craft brewing industry slows and smaller firms account for a greater proportion of expansion, I test whether traits that are indicative of smaller firms have an effect on brewery success. I hypothesize that firms which utilize localist strategies such as geographical branding, use of local ingredients, charitable giving, and/or sustainable practices are more successful than others and therefore produced more barrels of beer in 2017. To test my hypothesis, I estimate ordinary least squares regressions with robust standard errors using data collected from the Brewers Association and the websites of 362 California craft breweries. I …

Using Social Media For Customer Knowledge Management In Developing Economies: A Systematic Review, Martinson Ofori, Omar El-Gayar

Research & Publications

Knowledge Management (KM) research has theorized that KM activities lead to better firm performance. The current view that there is more external knowledge than exists within organizations has resulted in a preference for customercentric approaches over traditional KM activities. Recent advances in technology has resulted in social media use as an avenue for knowledge creation from the social interaction between brands and their customers. Most research however explore social media’s impact on organizational knowledge in developed economies with little attention to developing economies where KM could be conceptualized differently. In this research, we analyze the extent to which social media …

Identifying At-Risk Clients For Xyz Packaging, Co., Eduardo Carlos Cantu Medellin, Mihir Parikh, Christopher Graves, Brendon Jones

SMU Data Science Review

We present a multi-algorithmic modeling approach for the identification of at-risk customers for XYZ Packaging Inc. We define at-risk customers as those having declining seasonally adjusted gross income forecasts which are a strong indicator of impending customer churn. Customer retention is an area of interest regardless of industry but is especially vital in commodity-based low margin industries. We employ traditional Autoregressive Integrated Moving Average (ARIMA) and Anomaly Detection algorithms for discriminating changes in customer revenue patterns. Ultimately, we identify a meaningful proportion of clients whose forward-looking quarterly demand can be predicted within an actionable degree of accuracy.

In The Midst Of The Apocalypse, Artificial Intelligence Can Save Brick And Mortar Retailers, Vrushank Nayak

Capstones

You might have heard that brick and mortar stores are closing by the thousands but I bet you didn't hear that brick and mortar stores are using artificial intelligence and customer data to help them counter closures and stay relevant in the transitioning retail industry.

https://coveringcompanies.journalism.cuny.edu/2020/01/07/in-the-midst-of-the-apocalypse-artificial-intelligence-can-save-brick-and-mortar-retailers/

Assigning Triaged Patients To Treatment Rooms In A Hospital Emergency Department, Barry E. King E. King, Tyler Pollard, Jennifer Rice, Jane Siegler

Scholarship and Professional Work - Business

The assigning of new arrivals at a hospital emergency department to treatment rooms was examined. New patients are summarily triaged and assigned to a treatment room based on severity of their symptoms, the grade of a treatment room, and an exponential benefit curve that encourages the solver to schedule the most severe cases early. SAS’s OPTMODEL modeling language was employed to build the model and SAS’s MILP solver was used to perform the scheduling. Up to thirty patients were optimally assigned to depict the example of a large emergency department.

Feasibility Of Collaborative Alliance Association For Non-Competitive Small Business Contractors, Brody Allen Gill

Construction Management

Small business construction contracting firms around the country struggle with growing their business successfully. This is a result of unknown results from new business practices and few resources to initiate programs that can improve productivity and efficiency. A simple solution could give small business construction contractors the opportunity to share ideas, compare company analytics and promote professional networking in a non-competitive, collaborative alliance. The goal of this project is to determine if a collaborative alliance association using data benchmarking would be an effective solution for non-competitive small business contractors to grow their businesses. Thereafter being proven effective, is such an …

The Bluebox Practicum: Integrating Technology, Culture, And Academic Service-Learning, Charles Braymen, Dustin Ormond

Jesuit Higher Education: A Journal

Advancing education in marginalized communities has been more difficult compared to more privileged communities due to the lack of infrastructure, which in part results in an absence of educational materials. The BlueBox Project was created to minimize this divide by bringing a wealth of information to these communities. Using a small digital computer, faculty, staff, and students across many disciplines built the BlueBox, a stand-alone digital library which hosts an array of books, articles, educational games, and videos to inspire learning in a variety of subjects including science, technology, math, music, and literature. The BlueBox is powered by solar energy, …

Big-Data Talent Analytics In The Public Sector: A Promotion And Firing Model Of Employees At Federal Agencies, Rabih Neouchi

Operations Research and Engineering Management Theses and Dissertations

Talent analytics is a relatively new area of focus to researchers working in analytics and data science. Talent Analytics has the potential to help companies make many informed critical decisions around talent acquisition, promotion and retention. This work investigates data science to predict “shiny star” employees in the U.S. public sector, defined as top-notch performers over the years of a given time span. Its scope falls within talent analytics, also called people analytics, a relatively new research area.

We clean a data set made available by the U.S. Office of Personnel Management (OPM) and present two models to predict the …

A Next-Day, Brief E-Survey Overcomes The Excessive Variability Seen In Cahps-Style Emergency Department Surveys So That Individual Physician Performance Can Be Assessed On A Regular Basis, Tom Scaletta, Eva Hare, Christopher Sung Lee

Patient Experience Journal

Traditional CAHPS-style emergency department (ED) surveys result in excessive variability when assessing individual physician performance. The objective of this study is to measure the variability of a brief, electronic survey (e-survey). The study team also measured the association of individual physicians to demographic data, physician and patient factors, and a physician burnout assessment tool. Data from SmartContact (SmartER, La Grange, IL) is a next-day, e-survey that takes about 30-seconds to complete. This tool was used by a hospital-employed emergency department (ED) group during calendar year 2017 across 2 EDs and 37 physicians.^1,2 Variability was estimated regarding raw patient experience …

College Of Business Dean's Report: 2018-2019, Ryan Butt

College of Business Dean’s Reports

No abstract provided.

Optimize The Effectiveness Of Recruiting Campaigns, Ryan A. Talk, Lakshmi Bobbillapati, Marshall Coyle

SMU Data Science Review

Abstract. Recruiting marketing plays an important role in the talent acquisition strategy today. To find the best candidates, companies make substantial investments through numerous recruiting agencies, job boards, and internal systems such as Indeed, LinkedIn, Monster, Talent Communities. In this paper we obtained a company’s LinkedIn Job Posting data to try to predict the number of visits they will receive for each job posting based on the time of the year it is posted. We compare AR(1), AR(2), AR(52), MA(1), and ARMA(1, 1) time series methods to a baseline of a persistence model. We found that out of these 5 …

Leveraging Reviews To Improve User Experience, Anthony Schams, Iram Bakhtiar, Cristina Stanley

SMU Data Science Review

In this paper, we will explore and present a method of finding characteristics of a restaurant using its reviews through machine learning algorithms. We begin by building models to predict the ratings of individual reviews using text and categorical features. This is to examine the efficacy of the algorithms to the task. Both XGBoost and logistic regression will be examined. With these models, our goal is then to identify key phrases in reviews that are correlated with positive and negative experience. Our analysis makes use of review data publicly made available by Yelp. Key bigrams extracted were non-specific to the …