Business Intelligence Commons^™

From Data To Action: An Adaptable Crosstabs Template For Participatory Survey Data Analysis, Natalia Pinzon, Vikram Koundinya, William O'R Dowling, Ryan Galt

Journal of Extension

We present a practical and accessible template for quantitative survey data analysis designed for non-academic researchers in order to facilitate engagement from community collaborators. The template, created in Google Sheets, is mainly for computing cross-tabulations, but it also displays frequency distributions and p-values for determining statistical significance. The template allows collaborators to record their observations and questions, promoting an efficient yet interactive review process and fostering a democratic analysis environment. Based on our own experience using this template for a data party, we highlight its effectiveness in promoting collaborative data interpretation, decision-making, and the actionable use of survey findings.

Projectpath: Turn Skills Into Stories, Brady M. Katler, Gregory Lontok

Honors Thesis

In today's job market, even just landing an interview can prove to be quite the challenge. With ProjectPath, we provide applicants the tools to transform a job application into a tailored project. These projects have been proven to help users stand out among all the competition.

Hospital Organizations’ Obligation To Promote Spiritual Well-Being Among Nurses: Development Of A Normative Ethical Argument, Michael Jordan

Electronic Theses and Dissertations

This dissertation presents an innovative strategy to promote the support of nurses' spirituality within hospital organizations. By focusing on the spiritual well-being of nurses by hospital organizations, with a natural extension into nursing schools, the approach aims to enhance nurse’s ability to protect their own spirituality, provide comprehensive spiritual care to patients, and increase nurse moral resilience. By investing in nurses' spirituality and spiritual growth, hospitals can potentially increase job satisfaction among nursing staff, improve patient care outcomes, and create a more holistic healing environment for both nurses and patients. As the nursing shortage continues and the number of nurses …

Ai And The Metaverse In Business Strategy, Emma M. Han, Emma Nguyen

Student Scholar Symposium Abstracts and Posters

The Metaverse has quickly become an important part of the future of the business world. Mainstream companies like Walmart, Toyota, Nike, and many others have established a presence with virtual goods (NFTs), virtual spaces for consumers to interact, and employees to collaborate and train. Yet there is little research into Metaverse strategies that are efficient and sustainable over time. With the rise of AI, businesses now have the opportunity to integrate AI and the Metaverse as complementary technologies, reshaping their strategies for innovation and competitive advantage. We researched the top 500 global brands to uncover lessons from entry approaches taken. …

Recent U.S. Government Policy Literature On Critical And Strategic Minerals, Bert Chapman

Libraries Faculty and Staff Scholarship and Research

Critical and strategic minerals have become increasingly important in U.S. government civilian and military policymaking in recent years. This is demonstrated by the heavy use of such minerals in many critical civilian and military infrastructures. This work will discuss how this subject has been addressed in laws, presidential documents, and works by government agencies along with congressional oversight committees and support agencies. It will stress how the United States is heavily dependent on strategic minerals from adversarial foreign countries such as China and will examine U.S. efforts to increase its ability to produce such materials in the United States by …

Analytics & Insights Internship At Market Performance Group, Ava Mccrary

Information Systems Undergraduate Honors Theses

An Honors Thesis discussing the growth of analytics in the corporate world.

Decentralized Multi-Hop Federated Reinforcement Learning For Energy-Efficient And Secure Routing In Lorawan-Based Smart City Infrastructure, Harsha Sammangi, Aditya Jagatha, Jun Liu

Research & Publications

This paper proposes a decentralized hybrid framework that integrates Federated Learning (FL) and Reinforcement Learning (RL) to enable energy-efficient and secure multi-hop routing in LoRaWAN-based smart city networks. The method allows local model training at gateways and relay nodes, combining real-time routing decisions with privacy-preserving federated aggregation. Key metrics such as residual energy, link quality, and node trust levels are embedded into the reward function, and lightweight encryption plus differential privacy safeguard routing metadata. Simulation results demonstrate substantial gains in packet-delivery ratio, latency, network lifetime and resilience to adversarial attacks when compared to traditional routing protocols.

Shortage To Surge - Studying The Post-Covid-19 Guitar Retail Market, Jed H. Kim

Data Science Undergraduate Honors Theses

The COVID-19 pandemic was one of the most catalyzing events of the 21st century, leading to supply chain disruptions, lifestyle changes, and a massive shift towards digital technologies. During the COVID-19 lockdown, many people had more free time, and over 16 million individuals learned to play guitar in the first 2 years of the pandemic. According to a study by Fender, 62% of these new guitar learners cited the pandemic as their primary reason for learning the instrument. However, pandemic policies and supply chain disruptions meant that many guitar retailers were unable to satisfy demand, and backorders accumulated. After the …

Challenges The Sporting Industry Faced During Covid-19 On Fan Attendance: The Case Of The National Basketball Association, Marlon Long

Electronic Theses, Projects, and Dissertations

This culminating experience project investigates the challenges the sporting industry faced during the COVID-19 pandemic, with a focused look at the National Basketball Association. The research questions are: (Q1) How did the NBA arena shutdowns impact fan attendance for each team during the COVID-19 pandemic? (Q2) What factors influenced NBA arena attendance before the COVID-19 shutdowns? (Q3) What factors influenced NBA arena attendance after the COVID-19 shutdown? The data collected includes all 30 NBA teams from 2019 through the 2024 seasons. The research questions were analyzed using multilinear regression analysis and comparison of attendance data over 6 seasons including the …

Canadian Security Intelligence Service (Csis), Bert Chapman

Libraries Faculty and Staff Presentations

April 24, 2025 presentation for Canada's GovInfo Day Spring 2025 hosted by Simon Fraser University in British Columbia and Internet Archive Canada. Provides information about the publicly available information resources produced by the Canadian Security Intelligence Service (CSIS) which is the Canadian Government's foremost national intelligence agency. Provides information about this agency's statutory organization, types of publicly available reports they produce, information about other Canadian government intelligence agencies, and parliamentary oversight of Canadian government intelligence operations. Lists additional resources for finding information about CSIS and explains the benefits of having access to these resources for users.

Ai Meets Economics: Can Deep Learning Surpass Machine Learning And Traditional Statistical Models In Inflation Time Series Forecasting?, Ezekiel N.N. Nortey, Edmund F. Agyemang, Enoch Sakyi-Yeboah, Obu-Amoah Ampomah, Louis Agyekum

School of Mathematical & Statistical Sciences Faculty Publications

This study examined the forecasting ability of deep learning (DL) and machine learning (ML) models against benchmark traditional statistical models for the monthly inflation rates in the USA. The study compared various DL and ML models like transformers, linear regression, gradient boosting (GB), extreme gradient boosting (XGBoost), and adaptive boosting (AdaBoost) with traditional baseline time-series models like autoregressive integrated moving averages (ARIMA) and exponential smoothing (ETS) with Holt-Winters seasonal method utilizing data sourced from the Federal Reserve Bank of St. Louis. The study consistently showed that all DL and ML models outperformed the traditional approaches. In particular, the Transformer (RMSE …

Effect Of Street-Pricing Deregulation In U.S. Airports On Customer Satisfaction, Thorsten Merkle, Satheesh Seenivasan, Sushanta Das

ICHRIE Research Reports

This study investigates the impact of pricing policies and food and beverage (F&B) strategies on traveler satisfaction in the dynamic airport environment, with a focus on Phoenix airport in comparison with two other (undisclosed) major U.S. airports. Using a mixed-methods approach that integrates unstructured observations and social media analytics, the research provides a comprehensive understanding of passenger behavior, satisfaction, and spending patterns in airside F&B outlets.

Key findings reveal that traveler satisfaction is driven by factors such as service quality, timeliness, perceived value, and emotional engagement, with price sensitivity playing a relatively minor role. Phoenix International Airport exemplifies a successful …

Can Kirana Stores Compete In India's E-Commerce Revolution? Rethinking Traditional Retail In The Digital Age, Anshi Jindal, Ashwarya Kapoor

Management Dynamics

E-commerce has reshaped the global retail landscape bringing both disruptions and opportunities specifically in emerging markets like India. This paper explores the evolution of e-commerce in India and its impact on traditional retail particularly unorganized Kirana stores. By analysing market trends, consumer behaviour and policy implications, the study examines how conventional retailers are adapting to digital transformation. Using Reliance Retail’s JioMart initiative as a case study, it provides insights into the integration of digital and physical retail ecosystems. While e-commerce challenges Kirana stores, it also fosters innovation, growth and the emergence of hybrid retail models.

A Machine-Learning Tool-Supported Methodology For Nonprofit Donor Analysis, Corbin Weiss

Campus Research Month

We developed a machine-learning tool-supported methodology for modeling the nonprofit donor relationship. This approach was demonstrated in the case of a US-based nonprofit. Conclusions were drawn from this example and tool-support provided for use by other nonprofits.

21st Century Monetary Policy: The Federal Reserve From The Great Inflation To Covid-19, Greg Arburn

The Journal of Economics and Politics

No abstract provided.

Sustainable Leadership In Family-Owned Businesses: The Practice Of Searching Profitability And Evaluating The Business’ Effects On The Environment, Ahmad Mansour, Hind Al-Ahmed, Ahmad Shajrawi, Khaled Alshaketheep, Muhammad Alshurideh, Arafat Deeb

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

Objective: This research studies family business sustainability leadership adoption obstacles especially regarding their dual need to achieve both profitability and environmental impact targets while examining potential solutions to these problems. Methodology: A research methodology included literary analysis and field studies along with questionnaire distribution for obtaining qualitative and quantitative data. The research survey gathered information about how family businesses handle sustainability measures that focus specifically on their energy consumption as well as energy efficiency and water management plans. Results/Findings: The analysis revealed renewable energy adoption by 80% of the businesses along with energy efficiency implementation in 75% of the …

Does Ai Help Or Harm? Why And How Ai Use Influences Workplace Outcomes And Employee Well-Being, Haille Trimboli, Reka Lassu

Education Division Scholarship

Although the recent surge in excitement surrounding artificial intelligence (AI) might suggest it is a new development, AI has been applied in organizations for over forty years (Fanti et al., 2022; Markelius et al., 2024). Indeed, the term "artificial intelligence" itself emerged in the 1950s during a research project at Dartmouth College, where it was used to describe "machines able to simulate human intelligence" (Haenlein & Kaplan, 2019, p. 3). Most recently, in 2022, the landscape of AI use for laypeople greatly changed when OpenAI introduced ChatGPT, a generative AI tool, to the public; ChatGPT is an advanced AI language …

The Cost Foundation Of Airline Market Offerings: A System Component Analysis, Bernice Osei, Steve Lemay, Dave Mcmahon

AMTP Proceedings 2025

This paper examines how airlines' core system components—infrastructure, equipment, people, and technology—create distinct cost structures that drive market offerings, pricing strategies, and revenue streams across different airline classifications. We analyze how full-service network carriers (FSNCs), low-cost carriers (LCCs), and ultra-low-cost carriers (ULCCs) leverage their cost foundations to develop competitive market positions. The paper ties airline market offerings to consumer psychology.

Ai, Blockchain, And Autonomous Innovation : Charting The Future Of Intelligent Enterprises, Shubham Gupta

Harrisburg University Other Works

In today’s digital economy, artificial intelligence (AI) and blockchain are twin forces driving transformative change. AI and blockchain each rose to prominence on their own, but together they hold the promise of revolutionizing how businesses operate and create value. AI systems can analyze massive datasets, automate complex decisions, and even mimic human learning and reasoning. Blockchain technology, on the other hand, enables secure and tamper-proof transactions by distributing records across a network, ensuring transparency and trust without relying on a central authority. The convergence of these technologies is ushering in new possibilities for automation, smarter decision-making, and secure digital transactions …

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.