Business Analytics Commons^™

Perceptions Of Artificial Intelligence In Healthcare: A Qualitative Study Among Physicians And Nurses In Florida, Aaron Miri

MUSC Theses and Dissertations

This investigation will leverage participant focus group interviews with 32 clinicians (16 nurses / 16 physicians) to study what, if anything, is inhibiting AI adoption across the hospital. Specific physicians will be sourced across the key service lines of primary care, oncology, cardiology, behavioral health, and emergency department medicine, as these tend to be patient volume driven and thus have the maximum amount of potential for positive impact leveraging AI. Nurses in these same departments will be assessed to analyze if there is a similarity or difference between the nursing and physician AI adoption barriers.

Enhancing Interoperability In Geospatial Analytics Systems: Navigating Diverse Standards For Optimal Data Integrity, Justin W. Bennett

Dissertations

In this study, we explore the domain of geospatial analytics, focusing on how different geographic information systems (GIS) and technology solutions can better communicate and maximize interoperability. Central to our study is the impact of this interoperability on data integrity, which is critical for accurate decision-making in domains like urban planning, environmental management, and national security. Accurate decision-making requires modeling ecosystems that are easy to comprehend and are often intricate due to their physical or artificial nature and the diversity of geospatial parameters; therefore, it is essential to gather a comprehensive array of spatial and temporal measurements. We examine the …

Employee Engagement In Corporate Sustainability Initiatives: An Empirical Comparison Of Conventional And Modern Working Environment Practices, Ahmad Mansour, Hind Al-Ahmed, Ahmad Shajrawi, Khaled Alshaketheep, Muhammad Alshurideh, Arafat Deeb

An-Najah University Journal for Research - B (Humanities)

Objective: The study targets the investigation of Employee Engagement differences across Traditional and New work forms in Corporate Social Initiatives together with workplace practices that boost Sustainable Project Engagement. Methodology: The authors used a mixed-methods design approach in their research. A survey with 300 sustainable project personnel either working full-time or part-time collected quantitative data for analysis. Thirty semi-structured interviews comprised both employee and managerial personnel to collect qualitative data. The evaluation of workplace practices like flexibility and autonomy and communication & leadership on employee engagement was conducted through regression analysis. Researchers employed thematic analysis on interview data for the …

Impact Of Foreign Remittances, Foreign Direct Investment And Financial Development On Human Development Of Selected Asian Countries, Sumra Khalid, Ayesha Rehan, Bushra F. Malik

Accounting, Business Analytics, Economics, and Finance Department Faculty Articles

Foreign remittances play a contributing role in determining the growth potential of the nations of the world. Considering its significant role, the existing research has analyzed the major factors affecting the economic growth of some selected Asian nations. The data was utilized from 2005 to 2020 in some selected Asian countries. Human development was used as the dependent variable. However, foreign remittances, financial development and foreign direct investment, trade openness and labor force participation rate were taken as independent variables. The OLS regression results indicated that foreign remittances, foreign direct investment, and financial development led to enhanced nations' human development. …

A New Measure Of Non-Parametric Correlation For Variables In The Likert Scale, Shubhabrata Das

Working Papers

We propose a new measure of nonparametric correlation that is especially suited for measuring association between variables measured in the Likert scale where data is ordinal and tied observations are extremely common. The proposed general structure of the measure is based on graded level of concordance and discordance between the pairs of metrics. The general form of the measure has all the desirable properties except the measure is not necessarily zero for independent variables. This limitation is acceptable given only ordinal nature of the metrics. Three versions of the measure are studied. The first is based on simple equi-distant weights. …

Developing A Successful Pr Campaign With Crisis Management And Competitive Positioning, Anna V. Gutierrez

Marketing

This senior project examines the key elements that contribute to the success of a public relations campaign and how these elements can be leveraged to help a company effectively respond to and recover from a crisis. By analyzing high-profile campaigns like Spotify to Wicked, the project identifies best practices in brand communication, audience connection, and narrative control. Marketing research and a professional interview provide additional insight into real-world applications of PR strategies, offering a deeper understanding of how brands maintain trust and visibility during challenging times. Ultimately it provides a framework for how businesses can craft compelling PR campaigns that …

Microsimulation: A Solution For Effective Client Engagement, Girish Balakrishnan

Harrisburg University Dissertations and Theses

A key challenge that product management professionals face is to convince their clients about the relevance of a product towards their business needs by aligning those with the product vision. To accomplish this need, new strategies to engage the clients with the product vision are extremely critical. Microsimulation is a wonderful way to not just communicate product vision but also to familiarize clients with unique functionalities offered by the product. Microsimulations avoid miscommunications by establishing interaction between provider and consumer. This research study primarily focuses on solving the problem of client disengagement in organizations involved in product development and operating …

De-Dollarization And South Asia: Challenges And Opportunities For Nepal In A Multipolar Currency World, Keshav Bhattarai, Ambika P. Adhikari

Himalayan Research Papers Archive

The United States dollar’s dominance as the global reserve currency, established under the 1944 Bretton Woods system, persists despite the 1971 decoupling of the gold backing to the dollar. Its liquidity, stability, and full support by the US government confer a solid financial security and advantage to the currency, including a universal acceptance of the dollar and a relatively low borrowing cost. Because of these reasons, the US dollar has been able to dominate the global financial markets for the past eight decades. However, the rapidly emerging global political and economic power shifts are challenging the status of the US …

From Classroom To Boardroom: An In-Depth Look At Critical Thinking Amongst Accounting Students, Dorothy A. Thompson, Timothy G. Bryan

Accounting Faculty Research

The 2020 Guiding Principles and Standards of the Association to Advance Collegiate Schools of Business accreditation Standard 4.3 requires business students to be equipped with critical and analytical thinking skills. Killian (2013) states that by engaging students in a problem-based case study in an introductory-level managerial accounting course, students can acquire critical thinking skills, rather than memorize. Results from this study suggest critical thinking skills increased when it came to detecting, explaining, and defining a problem. Just as significant, critical thinking skills increase when a student encounters a problem and can solve it and make a conclusion. The paper concludes …

Robust Conic Satisficing, Arjun Ramachandra, Napat Rujeerapaiboon, Melvyn Sim

Working Papers

In practical optimization problems, we typically model uncertainty as a random variable though its true probability distribution is unobservable to the decision maker. Historical data provides some information of this distribution that we can use to approximately quantify the risk of an evaluation function that depends on both our decision and the uncertainty. This empirical optimization approach is vulnerable to the issues of overfitting, which could be overcome by several data-driven robust optimization techniques. To tackle overfitting, Long et al. (2022) propose a robust satisficing model, which is specified by a performance target and a penalty function that measures the …

Comprehensive Data-Driven Analysis Of Nyc Real Estate Transactions: Insights Into Pricing Dynamics, Neighborhood Evolution, And Socioeconomic Influences, Ruiming Xu

Dissertations, Theses, and Capstone Projects

This project provides a comprehensive analysis of New York City’s real estate market, focusing on its historical evolution, shifting demographics, and the significant impact of the COVID-19 pandemic on housing trends. Utilizing data from trusted sources like Zillow, the NYC Department of Finance, and the U.S. Census Bureau, the study investigates how property values have changed over time, highlights neighborhoods undergoing notable transformations, and identifies the economic, cultural, and social factors driving these changes. The research aims to reveal the complex forces shaping the market while offering insights into its future direction and the reasons behind current trends. A key …

Uncertainty In Pricing And Risk Measurement Of Survivor Contracts, Kendrick Raymond So, Stephanie Claire Cruz, Elias Antonio Marcela, Jeric C. Briones, Len Patrick Dominic Garces

Mathematics Faculty Publications

As life expectancy increases, pension plans face growing longevity risk. Standardized longevity-linked securities such as survivor contracts allow pension plans to transfer this risk to capital markets. However, more consensus is needed on the appropriate mortality model and premium principle to price these contracts. This paper investigates the impact of the mortality model and premium principle choice on the pricing, risk measurement, and modeling of survivor contracts. We present a framework for evaluating risk measures associated with survivor contracts, specifically survivor forwards (S-forward) and survivor swaps (S-swaps). We analyze how the mortality model and premium principle assumptions affect pricing and …

Fresh Looks, Familiar Voices: Balancing Conformity And Differentiation In Young Adult Literature Market, Nami Kim, Jiyoon An

AMTP Proceedings 2025

This study examines optimal distinctiveness strategies in the Young Adult (YA) literature market, analyzing bestseller data across visual representation, author concentration, content diversification, and linguistic evolution. Results reveal increasing visual differentiation in book covers, growing reliance on established authors, gradual expansion of content diversity, and linguistic convergence in book descriptions. These findings demonstrate how publishers dynamically adjust various product aspects to achieve optimal distinctiveness, extending optimal distinctiveness theory to brand-level strategies in cultural industries.

Understanding Market Outlooks, Elliott James Dennis

Cornhusker Economics

As 2024 has concluded, many industry analysts will reflect on the market trends and forces that shaped 2024 to make improved decision making in 2025. This is a pivotal time to evaluate the factors influencing commodity markets and plan for the future. Market outlooks play a vital role in this process, offering agricultural producers and industry stakeholders valuable insights into price trends, production forecasts, and market dynamics. By analyzing data from government agencies, universities, and private firms, these outlooks help users anticipate and navigate market fluctuations, whether through short-term forecasts or long-term projections spanning decades. With advances in technology and …

Assessing The Readiness And Awareness Of Key Stakeholders In The Egyptian Maritime Industry To Implement Smart Green Port Practices: A Case Study Of Alexandria Port, Mohamed Elhussieny, Ahmed El Kassar, Kareem Tonbol

Blue Economy

This study explores the readiness and preparedness of the major stakeholders within the Egyptian maritime sector towards the adoption of smart green port practices, with particular consideration given to Alexandria Port. With growing environmental threats, the need to support sustainable maritime operations is high. The study evaluates the current state of the ecosystem at Alexandria Port and benchmark it against international standards to highlight the critical gaps that should be covered for the effective execution of smart green port approaches. The results indicate that, although stakeholders have basic knowledge of sustainability issues, large perceived barriers, particularly regarding resource availability, limited …

Kroger Post-Pandemic Customer Segmentation, Mario Mata, Joey Truitt, Renn Spigelmyer, Dhanuja Kasturiratna, Lisa Holden, Nitish Baidya, Hanna Tafari

Posters-at-the-Capitol

The grocery retail industry landscape has changed greatly in the wake of the pandemic. Specifically, delivery and pickup services have become more popular and customer buying habits have evolved. At the same time, improvements in data collection and analysis have allowed grocery marketing strategies to become highly individualized.

We worked with 84.51, an analytics firm, to identify customer segments for the Kroger Company based on data from 2023. Using clustering techniques, we organized customers into groups, or segments, based on similar characteristics. We identified and profiled four distinct groups of customers. Three segments were characterized by high frequency and spending …

Predicting Hazardous Near-Earth Objects Using Machine Learning For Planetary Defense, John Costa (Student), Lily Popova Zhuhadar (Mentor)

Posters-at-the-Capitol

Predicting Hazardous Near-Earth Objects Using Machine Learning for Planetary Defense

This research develops a machine learning model to classify Near-Earth Objects (NEOs) as hazardous or non-hazardous based on their physical and orbital characteristics, leveraging NASA's dataset of certified NEOs. NEOs, including asteroids and comets, often pass within close proximity to Earth, and while most pose no threat, some have the potential for catastrophic impacts. By using predictive models such as decision trees and random forests, this study aims to prioritize resources for monitoring and mitigation of high-risk objects. The model incorporates key features like velocity, diameter, and proximity to Earth …

Predicting College Student Dropout Rates Using Predictive Analytics, Jenna Wells (Student), Lily Popova Zhuhadar (Mentor)

Posters-at-the-Capitol

This research develops a predictive model to forecast college student dropout rates using RapidMiner™, with the goal of identifying at-risk students early to facilitate timely interventions. Using a Kaggle dataset that includes 4,424 student records and 36 academic, demographic, and socioeconomic features, the study applies machine learning techniques to classify students as either graduates, dropouts, or currently enrolled. The model reveals critical factors influencing dropout rates, such as tuition fees, scholarship status, and second-semester grades. The Logistic Regression model, chosen based on accuracy and performance metrics, shows promising results with a precision of 82.64% and recall of 79.55% for predicting …

Midwest Entrepreneurship Case Competition Page In The Pitch Platform, Zoeanna A. Mayhook, Annette H. Bochenek, O'Neill Terence, Ilana Stonebraker

Libraries Faculty and Staff Supplemental Materials

This is an archived version of the competition page for the 2024 Midwest Entrepreneurship Case Competition, a regional, library-led business case competition held from February 10–24, 2024. The page was hosted on Purdue University’s Pitch Platform, an in-house system for managing case competitions. This page was captured on January 7, 2025.

Collecting Financial Data From Online Sources: Enhancing Large Language Models With Real-Time Search, Yang Li

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

Timely and accurate access to financial data is crucial for empirical research in accounting and finance. However, current data collection processes are often manual, inconsistent, and difficult to scale. This study asks: How can large language models (LLMs) be effectively used to automate financial data collection? Using design science research methodology (DSRM), the author develops a modular architecture that integrates a real-time search API and auxiliary information processing into LLM workflows. The study applies the model to two tasks: extracting ESG report release dates and identifying customer firm tickers from COMPUSTAT. The system achieves 96% and 95% accuracy, respectively, comparable …