Technology and Innovation Commons^™

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 …

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 …

The Economic And Environmental Impact Of Shinkansen And High-Speed Rail Infrastructure: A Comparative Analysis Of Economic Growth And Carbon Emissions Reduction, Dillan R. Victory

SPARK Symposium Presentations

The development of Japan's high-speed rail system, the Shinkansen, has played a pivotal role in the country's post-war economic resurgence. Introduced in 1964 with the Tokaidō Shinkansen, this transformative infrastructure investment significantly reduced travel times, bolstered economic activity around station hubs, and facilitated regional development by enabling urban decentralization. This paper explores the long-term economic benefits of high-speed rail, including its impact on land value, business expansion, and carbon emissions. The case study of the Linear Chuo Shinkansen, Japan's latest maglev project, underscores both the economic promise and the political resistance to expansion, particularly in regions such as Shizuoka.

Using …

Surviving And Thriving In The Hybrid Cloud: A Review Of The Current Cloud Computing Landscape, Peter Munsch, Alison Munsch

Journal of International Technology and Information Management

Background and Purpose

Both academic and industry institutions have increasingly migrated essential services to public cloud providers (e.g., Microsoft, AWS, Google) with mixed outcomes. Some industry leaders attempted to fully replace their on-premises data centers with public cloud services, a move not advised without thorough performance and cost analyses (Potel, 2023). Despite some organizations pulling back from the “Cloud First” strategy, the public cloud services market continued to grow, with revenue increasing by approximately 20% year-over-year since 2020 and surpassing half a trillion dollars in 2022 (IDC Worldwide Semiannual Public Cloud Services Tracker, 2H 2022). Cloud technologists suggested that hybrid …

Potential Impact Of Artificial Intelligence On Small And Medium Enterprises Innovation In The Eu: A Perspective From Poland, Malgorzata Wilczynska, Alina Walenia, Artur Dabek, Daniel Salabura, Halina Kot

Markets, Globalization & Development Review

The development of small and medium-sized enterprises is a complex process that requires the use of all approaches to achieve success. In this regard, finding opportunities to use artificial intelligence in such companies is of great importance. The study aims to assess how this technology affects the innovation and financial performance of small and medium-sized enterprises. To draw the main conclusions, the implementation of artificial intelligence at Polish enterprises, including in the context of their financial performance, namely the level of return on assets and the level of debt, was analysed. The study showed that the introduction of artificial intelligence …

Juegos De Rol En El Desarrollo De Projectpipe: Una Inmersión En El Uso De Metodologías De Diseño, Julieth A. Gómez Hernández, Cristian C. Orozco Ospina, Nicolas Restrepo Henao

Journal of Roleplaying Studies and STEAM

En el entorno digital actual, la evolución del concepto de juegos de rol ha llevado al desarrollo de aplicaciones web interactivas y educativas. En sintonía con este planteamiento, se presenta la siguiente propuesta, que adopta una metodología integrada para aprovechar la versatilidad del método de Bruno Munari y el Diseño Centrado en el Usuario (DCU). La metodología de Munari descompone la gestión macro del proyecto en pasos manejables; mientras que el DCU se enfoca en la creación de una interfaz intuitiva y funcional mediante prototipos iterativos y pruebas continuas de usabilidad. Como complemento a estas estrategias se integra la metodología …

Research On The Construction Of Multi-Layer Vocation-Skill Network For Industrial Talent Demand Identification, Zhanlei Yao, Jinxuan Li, Xin Xu

Journal of Scientific Information Research

[Purpose/ signficance]As an important tool for labor market observation，the relative robustness and other characteristics inherent in the traditional occupational classification system make it difficult to reflect changes in industrial talent demand in a timely manner. To solve this problem，this paper focuses on how to use digital means to map the relationship between occupations and skill requirements，and how to construct a multi-layer vocation-skill network and how to realize it. [Method/process]Firstly，design a set of cross-job descriptors，a common language for describing different jobs in Chinese context，in order to establish a vocation description framework for recruitment data development and utilization. Secondly，the Key technology of …

The Piranhas: Endgame Of Banking In Indonesia, F. Mario Andaru, Bambang Hadinugroho

Journal of Global Business Insights

Neobank is a form of financial technology innovation that offers banking services without a branch office. This is a form of disruption in the banking industry. Therefore, this paper aims to look at the phenomenon regarding the shift in the banking industry due to the presence of neobanks and, at the same time, question whether this is the beginning of the extinction of conventional banking. Based on an analysis of the literature on fintech and digital banking from research, case studies, and news media in both English and Indonesian, this study discusses research related to neobank trends disrupting the conventional …

Experimental Methods In Predicting Market Drift And Other Portfolio Optimization Factors Using Graph Theory, Perry Harrison Zhang

Computer Science Senior Theses

No abstract provided.

Enhancing Customer Support Operations Through Gpt & Q-Learning: A Model Study, Adam Alidra, Bob O'Brien, Dalton Young

SMU Data Science Review

Abstract. “Growth strategies that are purpose-led, customer-centric, experience-driven, data/AI-enabled, and technology-scaled require new mindsets…” (Cornfield, 2021). What can we take from this? Business growth and customer experience are inextricably tied together. Therefore, thriving, as an organization, is dependent on reimagining enterprise operations through modern, scalable data and AI technologies. Our study aims to enhance support operations with emerging AI capabilities, including OpenAI’s LLM models, built on self-attention mechanism transformer architecture, and tailored for business needs through prompt engineering. Our research uses Markov Decision Process and the Q-learning algorithm to evaluate synthetically created support incidents. Through this set of methods, our …

Balancing Perspectives: Assessing The Integration Of Ai In Academic Support Within Higher Education, Sami Ali

2024 Spring Honors Capstone Projects - Archive

The rapid advancement of A The rapid proliferation of Artificial Intelligence (AI) across various sectors highlights its transformative potential, yet its integration into educational settings raises ethical concerns, particularly regarding its misuse by students. This study conducts a detailed sentiment analysis and systematic literature review to examine the diverse perspectives on AI within education, from both academic and non-academic viewpoints. Utilizing advanced data mining tools to analyze sentiments and trends, this research reveals a complex landscape where optimism about AI’s capabilities is tempered by concerns over ethical implications and potential misuse. The findings contribute to the dialogue on leveraging AI …

The Effects Of Short-Term Rentals On Communities And How To Legislate Them: An Expanded Literary Review, William Cherry

Finance Undergraduate Honors Theses

A literary review of the economic and socioeconomic effects of short-term rental properties, specifically the commercialization of the industry based upon other research studies. An in-depth look at how commercialized short-term rentals effect the younger generation, hospitality industry, housing market, communities they reside in, and other externalities. A further review of different legal case studies of short-term rental legislation in major cities across the globe and their varying degrees of effectiveness.

An Exploration Of Synergy Evaluation Application Model To Support Implementation On Merger And Acquisition, Jieping Mei

Electronic Theses, Projects, and Dissertations

ABSTRACT

The project focuses on a comprehensive system’s analysis and design of the front-end of the Synergy Evaluation Application Model (SEAM) system for mergers and acquisitions (M&As). The research questions asked are: Q1. How did the SEAM system incorporate the system requirements and design that incorporated the strategic goals and priorities of both the acquirer and the acquiree? Q2. What data sources will the SEAM system rely on, and how does it overcome data integration, automation, visualization challenges? Q3. How will the model identify build in potential synergies, both quantitative and qualitative? The research questions were analyzed through the SEAM …

Exploring Entrepreneurial Intention And Subjective Beliefs: A Comparative Analysis Of General Education Schools And Commercial Schools, Julia Riess, Bettina Fuhrmann, Gerhard Geissler

International Journal for Business Education

This study examines the entrepreneurial intentions of Austrian secondary school students, specifically comparing students from commercial schools with those from general education schools. We analyzed 2,329 data sets and found that subjective beliefs, primarily behavioral and control beliefs, significantly influence entrepreneurial intentions. In addition, demographic factors such as gender, language, acquaintance with entrepreneurs, and school type play a significant role in explaining the variance in entrepreneurial intentions.

Our detailed analysis shows that students from commercial schools have stronger entrepreneurial intentions and subjective beliefs. Particularly notable are the differences in behavioral beliefs, where students from commercial schools find all aspects of …

Drivertech Vehicle Monitoring System, Sarah Aldhafeeri, Fillip Cannard, Kaitlyn Ledon, Shea Spellman

Posters - 2024

DriverTech provides critical data to shipping companies about their fleets of vehicles and drivers. This is done through their vehicle monitoring system. Unfortunately, Windows 10 is reaching end of life, and DriverTech is looking for a new software solution.

Experts-Driven Design: A Framework For Measuring Social Influence In Online Social Networks, Shyamala N. Chalakudi, Dildar Hussain Dr., Gnana Bharathy Dr, Dakshinamurthy Kolluru Dr

AMTP Proceedings 2024

In our interconnected and ever-changing social landscape, influence is pivotal in molding individuals’ decisions, perspectives, and behaviors. Measuring Social Influence (SI) in Online Social Networks (OSNs) faces significant gaps, notably needing more integration with human behaviors. Our literature review has unveiled twelve psychological theories rooted in human behavior that are fundamental for assessing SI in OSNs. We have further elucidated how human behaviors interact in shaping the influence potential of social media users through exploratory interviews with experts from consulting, industry, and academia. Our study culminated in developing a novel framework designed to encompass the intricacies that not only nurture …

Leading Horses To Water During A Pandemic: Assuring Communication Learning For "Quants", Thomas Hall

International Journal for Business Education

Students who are attracted to quantitative disciplines of study can be reluctant to devote much attention to the important task of communicating, and previous research (Hostager, 2018) has identified statistically significant differences in learning approaches by major among undergraduate business students. This paper presents results of learning assurance for writing skills (direct measures) even when the content of the course relates to the highly quantitative topics of data analytics and finance. The approach combines various pedagogical methods in an undergraduate, writing-intensive setting: traditional testing but in an iterative framework, “flipped classroom” intensive work using spreadsheet software, repeated submission of brief …

To Innovate Or Integrate: A Story Of Mergers And Acquisitions In The Video Game Industry, Charlie Geis, Dustin Rabin

The Journal of Purdue Undergraduate Research

No abstract provided.

Henderson Named One Of The Most Influential People In Legal Education, James Owsley Boyd

Keep Up With the Latest News from the Law School (blog)

Indiana University Maurer School of Law Professor Bill Henderson has once again been recognized as one of the most influential people in legal education, but he’s not the only one with ties to the Law School on this year’s list.

The National Jurist ranked Henderson #18 on its list. Kellye Testy, a 1991 alumna of the Law School and president and CEO of the Law School Admission Council, is ranked second.

Nike's Product Recommendation System And Incorporation Of Ai, Quinton Truman Lamers

Undergraduate Theses, Professional Papers, and Capstone Artifacts

No abstract provided.

From Technical Resolution To Agile Evolution: A Blended Role At Humane Interface Design Enterprise (Hide), Ketansingh Anil Patil

Dissertations, Master's Theses and Master's Reports

This report provides a comprehensive overview of my journey through two distinct roles at the Humane Interface Design Enterprise (HIDE) - as a Technical Consultant in Spring 2023 and an Agile Process Analyst in Fall 2023. My tenure as a Technical Consultant was marked by the application of academic knowledge and technical skills to tackle real-world challenges at HIDE, leveraging experiences from my capstone projects and my roles in the industry as an IT Analyst Intern at Milwaukee Tool and a Data Engineer at UST. This role at HIDE enhanced my problem-solving skills and contributed to the progress of the …

Key Issues Of Predictive Analytics Implementation: A Sociotechnical Perspective, Leida Chen, Ravi Nath, Nevina Rocco

Journal of International Technology and Information Management

Developing an effective business analytics function within a company has become a crucial component to an organization’s competitive advantage today. Predictive analytics enables an organization to make proactive, data-driven decisions. While companies are increasing their investments in data and analytics technologies, little research effort has been devoted to understanding how to best convert analytics assets into positive business performance. This issue can be best studied from the socio-technical perspective to gain a holistic understanding of the key factors relevant to implementing predictive analytics. Based upon information from structured interviews with information technology and analytics executives of 11 organizations across the …

An Examination Of The Relationship Between Cheating In Online Classes And Technostress: Perceptions Of Business Faculty, Stacy Boyer-Davis, Kevin Berry, Amy Cooper

International Journal for Business Education

This research study investigated the relationship between technostress creators (techno-complexity, techno-insecurity, techno-invasion, techno-overload, and techno-uncertainty) and faculty perceptions of student cheating in online classes. Data were collected from faculty members of the Management and Organizational Behavior Teaching Society (MOBTS), a member of the AACSB Business Education Alliance, the American Society of Business and Behavioral Sciences (ASBBS), an interdisciplinary professional organization comprised of faculty teaching in accounting, finance, management, marketing, organizational behavior, and computer information systems, and other research panels during 2021 (N = 94). Findings from regression analysis indicated that the techno-complexity subconstruct is positively related to a faculty’s perception …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

The Coming Transformative Impact Of Large Language Models And Artificial Intelligence On Global Business And Education, Eva K. Jermakowicz

Journal of Global Awareness

Rapid advances in the capabilities of Large Language Models (LLM) as a basis for Artificial Intelligence (AI) applications, and their sudden wide accessibility, have garnered significant attention recently. These technologies (e.g., ChatGPT, BARD), which have the ability to predict and generate human language, have led to excitement and concerns regarding their use in various industries. This paper explores the history of LLM, examines their applications in business and education, and delves into the critical ethical concerns and challenges of these emerging technologies to ensure that their uses are not only effective, but also responsible and equitable.

Improving Credit Card Fraud Detection Using Transfer Learning And Data Resampling Techniques, Charmaine Eunice Mena Vinarta

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explores the use of machine learning algorithms to detect credit card fraud. The research questions are: Q1. What cross-domain techniques developed in other domains can be effectively adapted and applied to mitigate or eliminate credit card fraud, and how do these techniques compare in terms of fraud detection accuracy and efficiency? Q2. To what extent do synthetic data generation methods effectively mitigate the challenges posed by imbalanced datasets in credit card fraud detection, and how do these methods impact classification performance? Q3. To what extent can the combination of transfer learning and innovative data resampling techniques …

Early-Warning Prediction For Machine Failures In Automated Industries Using Advanced Machine Learning Techniques, Satnam Singh

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explores the use of machine learning algorithms to detect machine failure. The research questions are: Q1) How does the quality of input data, including issues such as outliers, and noise, impact the accuracy and reliability of machine failure prediction models in industrial settings? Q2) How does the integration of SMOTE with feature engineering techniques influence the overall performance of machine learning models in detecting and preventing machine failures? Q3) What is the performance of different machine learning algorithms in predicting machine failures, and which algorithm is the most effective? The research findings are: Q1) Effective outlier …

Analysis Of Us Airline Stocks Performance Using Latent Dirichlet Allocation (Lda), Amina Issoufou Anaroua

Beyond: Undergraduate Research Journal

Various events, such as changes in the interest rate or the hijacking of a commercial aircraft, can lead to significant shifts in airline stock performance. This study aimed to measure the impact of aviation-related news announcements on the stock performance of US airlines, focusing on different topics. The dataset included aviation news covering airlines, airports, regulations, safety, accidents, manufacturers, MRO, incidents, aviation training, general aviation, and others obtained from Aviation Voice. To uncover patterns that could explain the movements of US airline stocks, a natural language processing technique called Latent Dirichlet Allocation (LDA) was employed. The process involved text mining …

Depaul Digest

DePaul Magazine

College of Education Professor Jason Goulah fosters hope, happiness and global citizenship through DePaul’s Institute for Daisaku Ikeda Studies in Education. Associate Journalism Professor Jill Hopke shares how to talk about climate change. News briefs from DePaul’s 10 colleges and schools: Occupational Therapy Standardized Patient Program, Financial Planning Certificate program, Business Education in Technology and Analytics Hub, Racial Justice Initiative, Teacher Quality Partnership grant, Intimate Partner Violence and Brain Injury collaboration, School of Music Career Closet, Sports Photojournalism course, DePaul Migration Collaborative’s Solutions Lab, Inclusive Screenwriting courses. New appointments: School of Music Dean John Milbauer, College of Education Dean Jennifer …

Digital Transformation Of Smes Through Social Media, Georgette Eugenia Otoo, Raphael Amponsah, Eric Afful-Dadzie, Emmanuel Awuni Kolog

African Conference on Information Systems and Technology

This research paper explores the strategic integration of social media platforms by Small and Medium-sized Enterprises (SMEs) in Low- and Middle-Income Countries (LMICs) beyond marketing. Drawing from Resource-Based View and Dynamic Capabilities theories, the study investigates how social media enhances management, coordination, and control functions. Through five diverse case studies from Ghana, findings reveal SMEs’ innovative use of platforms like Instagram, WhatsApp, Slack, and Trello. These platforms foster efficient internal communication, customer engagement, project management, and talent acquisition. Challenges such as technical expertise and dynamic digital landscapes are identified.