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Articles 1 - 14 of 14
Full-Text Articles in Business Analytics
Incorporating Media Coverage And The Impact Of Geopolitical Events For Stock Market Predictions With Machine Learning, Vinayaka Gude, Daniel Hsiao
Incorporating Media Coverage And The Impact Of Geopolitical Events For Stock Market Predictions With Machine Learning, Vinayaka Gude, Daniel Hsiao
Faculty Publications
This paper explores the impact of the Israel–Palestine conflict on the stock performance of U.S. companies and their public positions on the conflict. In an era where corporate positions on geopolitical issues are increasingly scrutinized, understanding the market implications of such statements is critical. This research aims to capture the complex, non-linear relationships between corporate actions, media coverage, and financial outcomes by integrating traditional statistical techniques with advanced machine learning models. To achieve this, we constructed a novel dataset combining public corporate announcements, media sentiment (including headline and article body tone), and philanthropic activities. Using both classification and regression models, …
Analyzing Stability Of Estimates At Completion For Long Duration Development Efforts, Bradley Vuu, Jonathan D. Ritschel, Brandon M. Lucas, Edward D. White
Analyzing Stability Of Estimates At Completion For Long Duration Development Efforts, Bradley Vuu, Jonathan D. Ritschel, Brandon M. Lucas, Edward D. White
Faculty Publications
Defense program managers utilize Earned Value Management (EVM) methodologies to measure, report, and predict the cost and schedule performance of their programs. Previous research conducted by Christensen (1996) and Kim et al. (2019) has shown varied results in the stability of EVM Estimates at Completion (EACs). Stability is defined as a 10% or less deviation from the final EAC at a specified percent completion point of the program. The Christensen (1996) and Kim et al. (2019) studies also noted that program-specific factors, such as phase, can impact the accuracy of EVM metrics. This study builds upon those works by assessing …
Factors Influencing Anticipated Migration Patterns Across Metropolitan Cities In The United States Between 2018 And 2022, Vinayaka Gude, Ricardo Melendez, Md Monirul Islam
Factors Influencing Anticipated Migration Patterns Across Metropolitan Cities In The United States Between 2018 And 2022, Vinayaka Gude, Ricardo Melendez, Md Monirul Islam
Faculty Publications
The COVID-19 pandemic has impacted people’s lives in various cities across the United States. This study explored the factors influencing anticipated migration patterns as indicated by the house search on the Redfin platform in 132 United States cities before, during, and after the COVID-19 Pandemic. The research addresses a crucial gap in the existing literature on recent trends in migration patterns, factors influencing this, and the potential impact of the pandemic. We employed a multivariate regression model to study overall migration and additional models to examine yearly data, identifying key factors that drive people to relocate. We identified that regions …
A Survey Of Retail Trade Patterns In South Dakota: 2012-2021, Rand E. Wergin
A Survey Of Retail Trade Patterns In South Dakota: 2012-2021, Rand E. Wergin
Faculty Publications
This paper provides an analysis of retail sales and retail trade in the state of South Dakota for the years 2012 to 2021. This analysis will provide valuable information to community leaders in the cities and towns of South Dakota. Along with measures such as unemployment and inflation, Retail Pull (RP) provides a measure of community’s economic health. For example, retail is often the largest employer in a city, particularly the smaller communities of South Dakota, and a robust retail sector provides a tax base to support community services. Thus, the economic health of the community depends on the viability …
Modeling A Decision Support System For Covid-19 Using Systems Dynamics And Fuzzy Inference, Vinayaka Gude
Modeling A Decision Support System For Covid-19 Using Systems Dynamics And Fuzzy Inference, Vinayaka Gude
Faculty Publications
Covid-19 has impacted the lives of people across the world with deaths and unprecedented economic damage. Countries have employed various restrictions and lockdowns to slow down the rate of its spread with varying degrees of success. This research aims to propose an optimal strategy for dealing with a pandemic taking the deaths and economy into account. A complete lockdown until vaccination is not suitable as it can destroy the economy, whereas having no restrictions would result in more Covid-19 cases. Therefore, there is a need for a dynamic model which can propose a suitable strategy depending on the economic and …
Mining Open Government Data For Business Intelligence Using Data Visualization: A Two-Industry Case Study, Anne Gottfried, Caroline Hartmann, Donald Yates
Mining Open Government Data For Business Intelligence Using Data Visualization: A Two-Industry Case Study, Anne Gottfried, Caroline Hartmann, Donald Yates
Faculty Publications
The business intelligence (BI) market has grown at a tremendous rate in the past decade due to technological advancements, big data and the availability of open source content. Despite this growth, the use of open government data (OGD) as a source of information is very limited among the private sector due to a lack of knowledge as to its benefits. Scant evidence on the use of OGD by private organizations suggests that it can lead to the creation of innovative ideas as well as assist in making better informed decisions. Given the benefits but lack of use of OGD to …
Establishing The Foundations To Measure Organizational Agility For Military Organizations, Jeremy R. Geiger, John J. Elshaw, David R. Jacques
Establishing The Foundations To Measure Organizational Agility For Military Organizations, Jeremy R. Geiger, John J. Elshaw, David R. Jacques
Faculty Publications
There is an ongoing demand for organizations to become more agile in order to prosper amongst their competitors. Many military organizations have declared a renewed focus towards organizational agility. The goal of this research is to isolate the variables needed to measure organizational agility (OA) in military organizations, allowing for the future development of a suitable method to measure OA without the need to interact with outside organizations. This article begins by providing a suitable and formal definition of organizational agility by exploring and analyzing relevant scholarly literature on the subject. Related terms, such as organizational resiliency, flexibility, robustness, versatility, …
The Analytics Managers Ultimate Guide For Working With Universities, Robert J. Mcgrath
The Analytics Managers Ultimate Guide For Working With Universities, Robert J. Mcgrath
Faculty Publications
The challenges organizations are having related to finding (and retaining) deep analytical talent did not materialize out of thin air…or overnight. Analytics and Data science – and the role of the analytics professional – has evolved over the last several decades and has been fueled by our ability to capture and process increasingly larger and more complex variations of data and our desire to gain increasingly granular insights to fuel innovation and creativity. While many organizations recognize that a partnership with a university can be a resource to many of these challenges, the best way to start a conversation with …
Cost Performance Index Stability: Insights From Environmental Remediation Projects, Denis S. Clayson, Edward D. White, Alfred E. Thal Jr.
Cost Performance Index Stability: Insights From Environmental Remediation Projects, Denis S. Clayson, Edward D. White, Alfred E. Thal Jr.
Faculty Publications
The purpose of this study was to investigate the stability of the cost performance index (CPI) for environmental remediation projects as the topic is not addressed in the literature. CPI is defined as the earned value of work performed divided by the actual cost of the work, and CPI stability represents the point in time in a project after which the CPI varies by less than 20 percent (measured in different ways).
Analyzing Operating And Support Costs For Air Force Aircraft, Scott C. Hewitson, Jonathan D. Ritschel, Edward D. White, Gregory Brown
Analyzing Operating And Support Costs For Air Force Aircraft, Scott C. Hewitson, Jonathan D. Ritschel, Edward D. White, Gregory Brown
Faculty Publications
Purpose: Recent legislation resulted in an elevation of operating and support (O&S) costs’ relative importance for decision-making in Department of Defense programs. However, a lack of research in O&S hinders a cost analyst’s abilities to provide accurate sustainment estimates. Thus, the purpose of this paper is to investigate when Air Force aircraft O&S costs stabilize and to what degree. Next, a parametric O&S model is developed to predict median O&S costs for use as a new tool for cost analyst practitioners.
Design/Methodology/Approach: Utilizing the Air Force total ownership cost database, 44 programs consisting of 765 observations from 1996 to 2016 …
Load Planning Processes To Enhance Cargo Compartment Utilization, Nathan J. Carlson, Adam D. Reiman, Robert E. Overstreet, Matthew A. Douglas
Load Planning Processes To Enhance Cargo Compartment Utilization, Nathan J. Carlson, Adam D. Reiman, Robert E. Overstreet, Matthew A. Douglas
Faculty Publications
Purpose: The United States Air Force often provides effective airlift for cargo distribution, but is at times inefficient. This paper aims to address the under-utilization of military airlift cargo compartments that plagues the airlift system.
Design/methodology/approach: The authors examine seven techniques designed to increase cargo compartment utilization and increase airlift utilization rates. The techniques were applied through load planning software to 30 real-world movements consisting of 159 sorties. They then ran each post-technique movement through a modeled flight environment to obtain cycle movement data. The metrics gained from both the load planning software and the modeled environment were regressed to …
Allstar Benchmarking: How Collaborating On Collecting And Sharing Data Is A Win-Win, Christine I. Dulac
Allstar Benchmarking: How Collaborating On Collecting And Sharing Data Is A Win-Win, Christine I. Dulac
Faculty Publications
We all know it’s hard to tell a library’s story to its stakeholders. Academic law libraries are expensive enterprises, and it’s challenging to capture the complete picture of the value that their resources, activities, and services provide. Consider as well the ever-increasing demands to augment services, while at the same time having to justify the need for new services and prove their cost-effectiveness In this environment, decision-makers need a clear understanding of what the library wants to accomplish, how it intends to meet its goals, and how it will measure success. What are the most important operations and services? Why …
A Mixed-Method Multiple Case Study Of Three Business Models For Local Healthy Food Delivery Systems In Underprivileged Urban Areas, Gretchen Elizabeth Krivak, Garth B. Woodruff, S. Forrest, Hannah Mbungu, Kechler Orcel, Soraya Fish, Sherine R. Brown-Fraser
A Mixed-Method Multiple Case Study Of Three Business Models For Local Healthy Food Delivery Systems In Underprivileged Urban Areas, Gretchen Elizabeth Krivak, Garth B. Woodruff, S. Forrest, Hannah Mbungu, Kechler Orcel, Soraya Fish, Sherine R. Brown-Fraser
Faculty Publications
Define a USDA food desert Analyze the three business models for benefits and deficiencies Identify methods for starting a sustainable mobile farmers market program. Over 40% of Berrien County Michigan land use is agricultural. Many products are fruits and vegetables. Yet, the county has six identified USDA defined Food Deserts. Past research, based on a mobile farmers market, confirmed local trends and deficits. The purpose for this research is to define a sustainable business model that delivers healthy local food options to USDA Food Deserts combating food inequity. A mixed method multiple case study was created to test three business …
Forecasting Us Army Enlistment Contract Production In Complex Geographical Marketing Areas, Joshua L. Mcdonald, Edward D. White, Raymond R. Hill, Christian Pardo
Forecasting Us Army Enlistment Contract Production In Complex Geographical Marketing Areas, Joshua L. Mcdonald, Edward D. White, Raymond R. Hill, Christian Pardo
Faculty Publications
Purpose: The purpose of this paper is to demonstrate an improved method for forecasting the US Army recruiting. Design/methodology/approach: Time series methods, regression modeling, principle components and marketing research are included in this paper. Findings: This paper found the unique ability of multiple statistical methods applied to a forecasting context to consider the effects of inputs that are controlled to some degree by a decision maker. Research limitations/implications: This work will successfully inform the US Army recruiting leadership on how this improved methodology will improve their recruitment process.
Practical implications: Improved US Army analytical technique for forecasting recruiting goals.