Business Intelligence Commons^™

Controversy Associated With Red-Light Traffic Cameras, Alan D. Smith, Anna Abdulmanova

Atlantic Marketing Association Proceedings

No abstract provided.

Chatgpt Unveiled: Unleashing Ai Magic In Digital Marketing, Jianping Huang, Mark J. Sciuchetti Dr.

Atlantic Marketing Association Proceedings

No abstract provided.

Fintech Innovation And Strategy In Islamic Financial Services In Indonesia: Mapping Trends And Correlations Through Digital Content Analysis, Faisal Binsar S.T., M.M.S.I, Dr., Muhammad Bayu Drs., M.M., Dr., Arif Budiman S.Kom, M.Kom, Lisa Puspitasari S.E., M.Si., Dr.

International Conference on Business and Management Research (ICBMR)

This study explores the impact of fintech innovations and strategies on the operational efficiency and service quality of Islamic financial services in Indonesia, emphasizing their alignment with Islamic financial principles. Using a descriptive quantitative methodology, the research employs digital content analysis of online reviews and social media discussions to uncover key themes. Advanced analytic techniques, including topic modeling with Gibbs Sampling for Dirichlet Multinomial Mixture (GSDMM) and cosine similarity for inter-topic correlation analysis, are applied to data sourced from various digital platforms. The findings reveal three dominant themes: media and community interaction, the performance and services of Islamic financial institutions, …

Reinforcement Learning Approaches For Intelligent Budget Management: A Comparison Of Traditional Budget Model With Q-Learning, And Deep Q-Network Models, Danish Yaqub

Create@State

This study explores the application of Reinforcement Learning (RL) techniques to improve personal budget management and financial decision-making. A traditional rule-based budgeting model is first developed as a baseline approach, where income is allocated to expenses, savings, and debt payments using fixed financial ratios and predefined rules. Although this approach provides a structured framework for financial planning, it lacks adaptability and cannot dynamically optimize decisions when financial conditions change.To address these limitations, two reinforcement learning models—Q-Learning and Deep Q-Network (DQN) are implemented and compared with the traditional budgeting model. In the Q-Learning model, an agent interacts with simulated financial states …

Which Ai For What? An Ai Value Index For Small Business Adoption, Ahesanul Karim Abid

Create@State

Every day, millions of small business owners hear the same advice: use AI to grow your business. But when they look at the options — ChatGPT, Claude, Gemini, Grok, DeepSeek – they face an overwhelming question with no clear answer: which one should I actually use for my specific business need?

This question needs a fact-backed answer. Small businesses make up nearly all U.S. companies, about 99.9%, and employ close to half the country's workforce. Yet they adopt AI at rates 38 percentage points lower than large corporations. The issue is not cost. The issue is that no one has …

The Convergence Of Big Data And Ai, Prasanna Rajbhandari

Create@State

Big data and artificial intelligence are transforming how organizations analyze information and make decisions. Traditional analytics struggle with large, distributed, and unlabeled datasets. Modern AI systems must adapt quickly, preserve privacy, and extract meaningful insights from complex data environments.

Generative Artificial Intelligence In Professional Selling Course: The Art (And Science) Of Prompt Engineering, Michael Rodriguez, Kevin Trainor, Michael Rodriguez

Atlantic Marketing Association Proceedings

No abstract provided.

Examining Digital Transformation In Maritime Logistics: A Big Data Perspective, Jiyoon An

Atlantic Marketing Association Proceedings

No abstract provided.

Sustainability And Technology Aspects Of Supplier Performance, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.

Exploration Of Dimensionality In Nfts, Blockchain, And Cryptocurrencies, George D. Shows

Atlantic Marketing Association Proceedings

No abstract provided.

Trucking And Road Transportation Trends In The Logistics Industry, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.

Crime, Consumers, And Clustering: A Geomarketing Analysis Of Retail Behavior Across Urban Markets, Mark J. Sciuchetti Dr., Jianping Huang

Atlantic Marketing Association Proceedings

No abstract provided.

Emotion Is Dead, But Can Persuasion Survive? The Effect Of Ai-Generated Reviews In Digital Marketing On Consumer Trust, Jianping Huang, Mark J. Sciuchetti Dr.

Atlantic Marketing Association Proceedings

No abstract provided.

Sentiment Analysis Of Public Commentary On U.S. Farm Bills, Frank Tenkorang, Fletcher Ziwoya

Mountain Plains Business Conference

This study applies sentiment analysis to public commentary on U.S. farm bills to assess patterns of support and opposition. Using Reddit posts from relevant subreddits, we employed two natural language processing models, VADER and RoBERTa, to evaluate sentiment over time. While both models yielded differing sentiment distributions, they revealed increased public engagement during farm bill years, particularly in 2018. Most sentiments were neutral, but negative opinions outweighed positive ones. Posts with stronger sentiments tended to attract more user interaction, especially controversial ones. These findings highlight the polarized yet active public discourse surrounding agricultural policy and the potential for data-driven policy …

Combating Forced Labor: Innovative Data Solutions For Risk Assessments, Jill Dewitt, Valerie Cho

SMU Human Trafficking Data Conference

Today’s global market demands that businesses ensure their supply chains are free from human rights violations, especially forced labor. Due to the increasing regulatory, commercial, and reputational stakes, it is crucial to identify and address these risks. However, firms must manage forced labor risks for compliance purposes while navigating a lack of data visibility and compliance complexities. Moody’s and The Rights Lab are leveraging data and technology to assist businesses in identifying and mitigating the risk of forced labor within their supply chains. By utilizing technology for data collection, they can pinpoint risks in three key areas: industry, geography, and …

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.

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 …

Using Business Databases To Inform Data Privacy Practices, James Henry Smith

Midwest Business Librarian Summit (MBLS)

Data Privacy is an active practice that requires users to actively participate in informed consenting for their personal data protection. Part of that process is gathering information about the companies that request access to users data. In this lightning talk, an information literacy librarian will walk participants through the metacognitive process of deciding which data to share with companies when interacting with their online interfaces. This process starts with acknowledging the value of personal data collection, then a walk through which business databases users can engage with to better understand how their data exhaust is bought and sold to data …

"Church On My Couch": Predicting The Future Impact Of Online Ministry Based On The Impact During Covid-19, Samukeliso Mabarani, Sikhumbuzo Dube

Adventist Human-Subject Researchers Association

With “everything from home” as the new norm, “how does the use of digital platforms impact Adventist education, community engagement, and spiritual outreach?” Using a quantitative approach, we draw insights from online ministry during Covid-19 and use the insights to predict the future impact of online ministry statistically.

The Neuroscience Of Safe Gaming: How To Use Wellness Content, Mary Donohue Dr.

International Conference on Gambling & Risk Taking

Anselme and Robinson suggest that “the motivation to gamble is strongly (though not entirely) determined by the inability to predict reward occurrence and is linked to having too much dopamine in the brain.” An excess of dopamine in some parts of the brain and lesser amounts in others is linked to mood changes, and in particular a decrease in impulse control and an increase in competitiveness. The gaming business wants to avoid reckless gambling and is engaged in research to find evidence-based tools that lower the reactions associated with high dopamine levels. One such tool is a digital therapeutic called …

Access To Technology And Data In Smart Cities For South African Digital Citizens, Brenda Scholtz, Anthea Van Der Hoogen

African Conference on Information Systems and Technology

Lack of access to technologies and quality data are key challenges for reducing the digital divide and developing digital citizens to support Smart City initiatives. This paper reviews efforts towards Smart Cities and access to smart technology and Open Data in developed economies globally and in South Africa. Reviews of literature and websites were conducted and the Qualitative Content Analysis method was used to analyse the data. The contributions are the commonalities and differences between Smart City initiatives in developed economies and in South Africa. The findings revealed that in developed countries the focus was mainly on e-services, citizen engagement, …

Session 5: Equipment Finance Credit Risk Modeling - A Case Study In Creative Model Development & Nimble Data Engineering, Edward Krueger, Landon Thompson, Josh Moore

SDSU Data Science Symposium

This presentation will focus first on providing an overview of Channel and the Risk Analytics team that performed this case study. Given that context, we’ll then dive into our approach for building the modeling development data set, techniques and tools used to develop and implement the model into a production environment, and some of the challenges faced upon launch. Then, the presentation will pivot to the data engineering pipeline. During this portion, we will explore the application process and what happens to the data we collect. This will include how we extract & store the data along with how it …

Lss4.0 - Creating Opportunities From Existing Limitations, Tanawadee Pongboonchai-Empl

International Conference on Lean Six Sigma

Abstract

Purpose: This research explores Lean Six Sigma (LSS) limitations identified in previous studies and underpins the need to integrate Lean Six Sigma with Industry 4.0. Furthermore, this paper presents a use case for an opportunity offered by data-driven tools.

Method/Approach: Expert Interviews were conducted with senior Lean Six Sigma practitioners and academics in Europe. The data were analysed using qualitative content analysis and NVivo software.

Findings: This paper reveals limitations experienced by practitioners and their causal relationships. Additionally, new limitations have emerged, reinforcing the urgency to inject data-driven technologies into the traditional LSS Framework. Associated with this is the …

A Site Suitability Analysis Of A Tattoo Art School In Tallahassee, Florida, Gianni Mccrea, Andre Kimble

ONU Student Research Colloquium

This research presents the utility of a Site Suitability Analysis to help determine the viability of a business venture in a particular location. Specifically, we present the results of a case study that focuses on the area immediately around Tallahassee, Florida as providing a sufficient number of customers to warrant a new and sustainable Tattoo Art School. Site Suitability Analysis provides a variety of statistical and analytical methods of analysis, which is commonly used in market research. This research presents the results of some of these methods, as applied to commonly-used datasets, and concludes that Site Suitability Analysis can provide …

Developing A New Paintball Facility In New Orleans, Louisiana, Jevon Taylor, Justin Taylor

ONU Student Research Colloquium

This research presents the utility of a Site Suitability Analysis to help determine the viability of a business venture in a particular location. Specifically, we present the results of a case study that focuses on the area immediately around New Orleans, Louisiana as providing a sufficient number of customers to warrant a new and sustainable paintball facility. Site Suitability Analysis provides a variety of statistical and analytical methods of analysis, which is commonly used in market research. This research presents the results of some of these methods, as applied to commonly-used datasets, and concludes that Site Suitability Analysis can provide …

Developing An Investment Consulting Firm Near Denver, Colorado: A Site-Suitability Analysis, Caiman Moore, Matthew Studenic

ONU Student Research Colloquium

This research presents the utility of a Site Suitability Analysis to help determine the viability of a business venture in a particular location. Specifically, we present the results of a case study that focuses on the area immediately around Denver, Colorado as providing a sufficient number of customers to warrant a new and sustainable Investment Consulting Firm. Site Suitability Analysis provides a variety of statistical and analytical methods of analysis, which is commonly used in market research. This research presents the results of some of these methods, as applied to commonly-used datasets, and concludes that Site Suitability Analysis can provide …

A Site-Suitability Analysis For A New Interstate Highway Rest Area Near Ft. Meyers, Florida, Krue Thwaits

ONU Student Research Colloquium

This research presents the utility of a Site Suitability Analysis to help determine the viability of a business venture in a particular location. Specifically, we present the results of a case study that focuses on the area immediately around Ft. Meyers, Florida as providing a sufficient number of customers to warrant a new and sustainable interstate highway rest area. Site Suitability Analysis provides a variety of statistical and analytical methods of analysis, which is commonly used in market research. This research presents the results of some of these methods, as applied to commonly-used datasets, and concludes that Site Suitability Analysis …

A Site Suitability Analysis Of A Book Store/Coffee Shop In Seattle, Washington, Hannah Paul, Jennifer Hahn

ONU Student Research Colloquium

This research presents the utility of a Site Suitability Analysis to help determine the viability of a business venture in a particular location. Specifically, we present the results of a case study that focuses on the area immediately around Seattle, WA as providing a sufficient number of customers to warrant a new and sustainable used book store/ coffee shop. Site Suitability Analysis provides a variety of statistical and analytical methods of analysis, which is commonly used in market research. This research presents the results of some of these methods, as applied to commonly-used datasets, and concludes that Site Suitability Analysis …

A New Vegetarian Restaurant In Detroit, Michigan: A Site-Suitability Analysis, John Politowicz

ONU Student Research Colloquium

This research presents the utility of a Site Suitability Analysis to help determine the viability of a business venture in a particular location. Specifically, we present the results of a case study that focuses on the area immediately around Detroit, Michigan as providing a sufficient number of customers to warrant a new and sustainable vegetarian restaurant. Site Suitability Analysis provides a variety of statistical and analytical methods of analysis, which is commonly used in market research. This research presents the results of some of these methods, as applied to commonly-used datasets, and concludes that Site Suitability Analysis can provide valuable …

Identifying Appropriate Strategies To Sell Tesla Automobiles In Ohio, Trever Maughmer

ONU Student Research Colloquium

Segmentation data serves as an important resource used in business research. It encapsulates people who live in certain areas according to similar demographic traits, behaviors and habits, and consumer trends. Companies such as ESRI make their segmentation data available for a price, along with highly-specialized analysis tools. This project is a case study that examines the utility of ESRI segmentation data and tools to identify a suitable marketing strategy for potential customers in specific locations in Ohio. It further identifies population segments in certain geographic areas according to consumer trends and demographic characteristics. Unlike traditional brick-and-mortar (B&M) dealerships, this project …