Business Commons^™

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/

Requirement Elicitation, Cameron Myers

Honors Theses

Requirement Elicitation is a flexible and malleable process that can be changed based upon the requirements of the analyst, stakeholders, and/or the application. In recent years analysts have given more distinction to the effectiveness and the types of result yielded based on the unique attributes of each elicitation technique. These distinctions arose because of advancing technology and use cases used when developing an application. Naturally, the elicitation techniques are advancing as well. They are advancing into different categories to better focus on yielding the right information to identify the right requirements. Such as behavioral techniques, cognitive techniques, contrived techniques, etc. …

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 …

Automation Of Data Analysis In Formula 1, Adam Joseph Mourad, Prescott Jeanne Delzell, Patrick Conner Mccabe

Industrial and Manufacturing Engineering

This paper explores economic solutions for Formula 1 racing companies who are interested in data visualization tools. The research was conducted on the current development of data gathering, data visualization, and data interpretation in Formula 1 racing. It was found that a large chunk of racing companies within the league needs an affordable, effective, and automated visualization tool for data interpretation. As data collection in Formula 1 arises, the need for faster and more powerful software increases. Racing companies profit off-brand exposure and the more a racing team wins, the more exposure they receive. The goal of the paper focuses …

The Potential For Using Loyalty Rewards And Incentives Programs To Encourage Transit Ridership And Regional Transportation And Land Use Integration, Christopher E. Ferrell

Mineta Transportation Institute Publications

Transit smart cards can be used as a tool for increasing transit ridership, increasing retail sales in transit-oriented developments (TODs) and eventually, increasing opportunities for retail development in TODs. Instead of providing separate loyalty rewards for each store, or chain of stores, such cards would provide loyalty rewards—in several possible forms, including free transit ride credits, cash rewards, retail purchase discounts, sweepstakes rewards—to all transit riders who patronize TOD retail businesses. Additional rewards could also be given to transit riders who live, work, and shop in TODs, and even to riders who take transit for specific shopping trips in TODs. …

Behavioral Agent-Based Framework For Interacting Financial Markets, Heba M. Ezzat Dr.

Business Administration

Purpose – This paper aims at developing a behavioral agent-based model for interacting financial markets. Additionally, the effect of imposing Tobin taxes on market dynamics is explored. Design/methodology/approach – The agent-based approach is followed to capture the highly complex, dynamic nature of financial markets. The model represents the interaction between two different financial markets located in two countries. The artificial markets are populated with heterogeneous, boundedly rational agents. There are two types of agents populating the markets; market makers and traders. Each time step, traders decide on which market to participate in and which trading strategy to follow. Traders can …

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, …

Valores Socioculturales En Un Territorio Con Potencialidades Diversas. Santa Rosa De Viterbo – Boyacá, Marta Isabel Torres Torres

Maestría en Estudios y Gestión del Desarrollo – MEGD

Este trabajo presenta una investigación de corte etnográfico, cuyo objetivo es comprender las dinámicas socioculturales propias del territorio municipal de Santa Rosa de Viterbo (Boyacá) con el propósito de valorar sus potencialidades en la búsqueda de una alternativa al desarrollo. Para responder a este objetivo se realizó trabajo de campo encaminado a conocer de primera mano, por un lado, la información de los lugares de interés con valor patrimonial, gastronómico y cultural, y por el otro, las prácticas socioculturales que evidencian formas de organización, acontecimientos importantes para los habitantes y proyectos comunitarios; mediante un ejercicio de cartografía social, entrevistas a …

B-Line Sustainable Urban Delivery: Can Last-Mile Bicycle Delivery Survive The E-Commerce Minefield?, Madeleine Pullman, Jacen Greene, Wanying Shi, Stephan Kaplan

Business Faculty Publications and Presentations

As the population of cities in the western United States continues to boom, the demand for retail and wholesale food has followed suit. To deal with the accompanying increase in traffic and congestion from population and business growth, the city of Portland planned to increase bikeways and reduce the use of single-occupant vehicles to less than 30% of total commuters by 2026. Despite efforts to decrease dependence on vehicles, traffic congestion in Portland
continued to increase, and traditional vehicle delivery in the urban area became less and less efficient. As ride-sharing services and online retailers increased their presence in the …

How Your I-O Psychology Training Has Prepared You Handle The Big, Complex, And Scary World Of Data Analytics, Shawn M. Bergman

River Cities Industrial and Organizational Psychology Conference

Organizations, looking for new ways to collect and harness big data, are scouring the Internet in search of untapped outlets of information about job applicants and are using analytics on their internal big data generated by internal HRIS and processes. Despite being experts in organizational systems, quantitative and research methodologies, human behavior, and organizational change, human resource professionals are often intimidated by big data and analytics and are left out of critical analytic business planning, implementation, and evaluation conversations. While it is undeniable that technology has the capability to enhance human resource decision-making, the strong emphasis on technology also highlights …

Faculty-Library Collaboration To Enhance Ug Research And Information Literacy Skills, Hulya Julie Yazici, Regina Beard

Florida Statewide Symposium: Best Practices in Undergraduate Research

This presentation describes faculty-Library collaboration efforts to enhance research and information literacy skills of our undergraduate students. An example of collaboration between business Faculty and Library Coordinator to facilitate research problem and data finding is presented with Canvas demonstration. The structured methodology is presented with implications on the experiential learning efforts. Additional examples from Library to improve information literacy and writing skills to enhance UG research are demonstrated

A Dynamic Stochastic Frontier Model With Threshold Effects: U.S. Bank Size And Efficiency, Pavlos Almanidis, Mustafa U. Karakaplan, Levent Kutlu

Economics and Finance Faculty Publications and Presentations

Common/Single frontier methodologies that are used to analyze bank efficiency and performance can be misleading because of the homogeneous technology assumption. Using the U.S. banking data over 1984-2010, our dynamic methodology identifies a few data-driven thresholds and distinct size groups. Under common frontier assumption, the largest banks appear to be 22% less efficient on average than how they are in our model. Also, in the common frontier model, smaller banks seem to be relatively more efficient compared to their larger counterparts. Hence, common policies or regulations may not be well-balanced about controlling the banks of different sizes on the spectrum.

Making Good Decisions: An Attribution Model Of Decision Quality In Decision Tasks, Bethany Niese

PhD in Business Administration Dissertations

Decision-makers endeavor to obtain the decision quality which puts them in a position to reach their goals. In order to control or influence decision quality, the processes by which individuals form their beliefs must be understood. In addition, many decision makers rely on decision support technologies to help find patterns in data and make sense of the input, so these technologies must be considered in parallel with the processes.

There have been numerous studies conducted to illuminate the factors which affect decision quality, however, many of these studies focused on objective measures and factors. This approach ignores individual perception, belief, …

A Data Mining Approach To Building A Predictive Model Of Low-Cost Carriers' Presence In The U.S. Domestic Routes, Canh Nguyen, John E. Deaton, Nurettin Dinler

International Journal of Aviation, Aeronautics, and Aerospace

The purpose of the study was to build the predictive model of the presence of U.S. low-cost carriers (LCCs) in the domestic network structure. SEMMA (Sample, Explore, Modify, Model, and Assess) schematic in data mining was followed and employed as the primary methodological procedure. Data in the period of 1Q2016-1Q2018 were extracted from the Bureau of Transportation Statistics (DB1B database) and reconstructed to form predictors. Stepwise logistic regression showed a significant predictive performance compared to decision tree technique in terms of fitting measures, which was then used as the concluding model. Significant predictors included: (1) Market concentration positively related with …

Generalized Relay Network Design And Collaborative Dispatching In Truckload Transportation, Amin Ziaeifar

Operations Research and Engineering Management Theses and Dissertations

The truckload industry faces a serious problem of high driver shortage and turnover rate which is typically around 100\%. Among the major causes of this problem are extended on-the-road times where drivers handle several truckload pickup and deliveries successively; non-regular schedules and get-home rates; and low utilization of drivers dedicated time. These are by-and-large consequences of the driver-to-load dispatching method, which is based on point-to-point dispatching or direct shipment from origin-to-destination, commonly employed in the industry. In this dissertation, we consider an alternative dispatching method that necessitates careful design of an underlying network. In this scheme, a truckload on its …

Housing & Residence Life Impact Report: Fall 2017 To Spring 2018, Hayden Hoopes, Alan Andersen, Kirk Bird, John Bostock, Whit Milligan, Amanda M. Hagman

Publications

Introduction: Living on campus is considered a high impact practice for student success. Student success is believed to emerge from “the amount of physical and psychological energy that the student devotes to the academic experience” (Astin, 1984), housing and residence life programming facilitates this type of devotion. However, creating this type of living experience requires administrators understand the complexities of how housing can affect specific student groups and their decision to either persist at or leave an institution. This report explores the impact of housing and residence life at Utah State University on students living on campus. It disaggregates results …

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 …

Diversity And The Future Of Work: Examining The Future Workplace Through A Generational Lens, Gordon Haley, Thomas G. Henkel

Publications

• Talent management is a critical consideration for organizations in the increasingly uncertain and competitive business environment
• Human Resource Management is critical to the success of any organization operating in the current service and knowledge economies
• Ignoring generational differences can lead to an ineffective organization

What Do Publicly-Available Soccer Match Data Actually Tell Us?, Chester S. Labedz Jr., Robert Schumaker

Communications of the IIMA

Media analyses of soccer statistics and game play has accelerated in recent years. This is evident in visual displays of ball and player tracking, average player locations and distances they run. These media depictions aim to be attractive, entertaining and informative for viewers. But are such statistics predictive of goal scoring and match outcome? To answer this question we review the sixty-four matches of the 2014 World Cup and examine nine common match statistics, and others, to evaluate their predictive value for goal production and match outcome.

Nebraska Monthly Economic Indicators: September 25, 2019, Eric Thompson

Leading Economic Indicator Reports

The Leading Economic Indicator – Nebraska (LEI-N) 1 fell by 1.89% during August of 2019. The drop in the LEI-N, which is designed to predict economic activity six months into the future, follows a sharp 2.51% increase during July. Taken together, results from the two months imply modest economic growth in Nebraska at the end of 2019 and the beginning of 2020. The leading indicator fell primarily due to a an increase in initial claims for unemployment insurance and a sharp increase in the value of the U.S. dollar. A rising dollar creates challenges for Nebraska busineses which export. Business …

Data Analytics, Power Bi And Emerging Technologies In The Accounting Classroom, Sunday M. Bonifas

Instructional Development Grants

The American Accounting Association (AAA) hosted a three-day conference in May 2019 focusing on the impact of emerging technologies and data analytics in the accounting profession and higher education.

Attendees participated in hands-on training and discussions about emerging technologies, received instructional materials to assist in classroom activities, and connected with leading researchers, educators, and professionals.

Utilization Of Statistics For Provision Of Business Information: Implementation Of Α-Sutte Indicator On Provision Of Stock Movement Prediction Information, Nuning Kurniasih, Ansari Saleh Ahmar, Nanik Kurniawati

Library Philosophy and Practice (e-journal)

The Current information services are dealing with big data that is freely accessible. Companies providing information services and products need to develop creativity and innovation to maintain their existence. In this paper, we offer that information specialist can add value to information. The added value is given through an analysis of information that is relevant to user needs. The Research and Development Method can be used to develop a framework for service information products and services, and bridge the gap between the theories studied in higher education and the needs of the industry. α-Sutte Indicator can be used to predict …

Supply Chain Analytics And Data Mining Psa 504, Andree Rathemacher

Library Impact Statements

No abstract provided.

Customer Analytics Psa 507, Andree Rathemacher

Library Impact Statements

No abstract provided.

Csr-Contingent Executive Compensation Contracts, Zhichuan Li

Business Publications

Firms have increasingly started tying their executives’ compensation to CSR-related objectives. In this paper, we attempt to understand why firms offer CSR-contingent compensation and the conditions under which such compensation improves corporate social performance. Using hand-collected data from proxy statements, we find that this emerging compensation practice varies significantly across industries and across different CSR categories. Further, well-governed firms are more likely to offer CSR-contingent compensation, and such compensation does lead to higher corporate social standing. Such firms are more likely to offer formula-based, Objective CSR-contingent compensation. However, our results suggest that non-formulaic, Subjective CSR-contingent compensation also helps improve companies’ …

Collaborative Speculation And Overvaluation: Evidence From Social Media, Adam Barrett Booker

Graduate Theses and Dissertations

I use data from StockTwits and Twitter to provide evidence that investor attention on social media in the period before earnings is related to short-term overvaluation, consistent with bullish investors herding around common information. In the 2 to 60 days after earnings, returns for companies in the highest quintile of pre-earnings announcement investor attention are 4.2 percent lower than those of companies in the lowest quintile. I find evidence that the negative post-earnings drift result found in this study is related to investors waiting until after earnings are announced to enact costly arbitrage strategies. I further examine intra- and inter-network …

An Overview And Analysis Of The Impacts Of Extreme Heat On The Aviation Industry, Brandon T. Carpenter

Pursuit - The Journal of Undergraduate Research at The University of Tennessee

Weather is a common cause of flight delays and cancellations. However, the vast majority of the time when thinking about weather and its effect on aviation, winter conditions such as snow come to mind. Heat is usually one of the last types of weather we associate with airline challenges. Recently, a bomb cyclone made headlines for the disruptions it caused with travel, especially at John F. Kennedy International Airport. Interestingly, the exact opposite of winter weather conditions can cause just as many challenges. During the summer of 2017, a number of flights at various airports such as Phoenix Sky Harbor …

How Do Anticipated And Self Regulations And Information Sourcing Openness Drive Firms To Implement Eco-Innovation? Evidence From Korean Manufacturing Firms, Cheon Yu, Junghoon Park, Yun Seop Hwang

Publications and Research

Building upon institutional theory and the concept of openness to external sources in terms of breadth and depth, this study investigates the following three understudied drivers of eco-innovation in terms of external and internal factors: Anticipated regulation and self-regulation as external drivers, and information sourcing openness comprised of breadth and importance as internal drivers. Toward this end, this study employs a sample of 1824 Korean manufacturing firms collected from the Korean Innovation Survey 2010, which is compatible with the Oslo Manual and the Eurostat Community Innovation Survey (CIS). The current research adopts a multivariate probit model for the nine binary …