Technology and Innovation Commons^™

Confronting Indecision, Lane Allison Murray

ENGS 15.11: Design and Education

This course aims to increase students' understanding of indecision and how to confront it. The class provides insight into how the fear of the unknown holds people back from making decisions and about understanding one's values as a means to combat indecision. Students and teachers alike explore instances of indecision and evaluate their own impulses & thought processes by reflecting on the deeper reasons for their choices. Students will increase their comfort level of asking themselves and their peers questions about the values that guide them and, in doing so, strengthen their relationships with themselves and others.

Effect Of The Development Of Social Networks On Expansion Of Social Entrepreneurship: Moderating Role Of Digital Technology Infrastructure And Social Norms, Mahdi Maskani, Reza Mohammadkazemi, Fargol Saberi Qomi

AMTP Proceedings 2025

In today's era, social networks, which are an effective tool in promoting ideas and innovations, have met with global acceptance and popularity. The communication that is formed between people in society through them can be the basis for ideas and opportunities for social entrepreneurship and voluntary social activities, and it is expected that this global platform will be the basis for the expansion of social entrepreneurship. The study aimed to examine the effect of the development of social networks on the expansion of social entrepreneurship by explaining the moderating role of digital technology infrastructure and social norms. The findings revealed …

Integrated Valuation Of The Ecological, Social And Economic Benefits Provided By A Multifunctional Nature-Based Solution, Laura Costadone, Shan Zhang

ODU Articles

Nature-based Solutions (NbS) offer multifunctional approaches to address climate change and environmental challenges, providing a sustainable alternative to traditional gray infrastructure. Despite their promise, widespread adoption remains limited, in part due to an incomplete understanding of their full costs and benefits relative to conventional infrastructure. Traditional benefit–cost analyses often overlook non-monetized benefits and the interconnected ecosystem services provided by NbS. This study introduces a methodological approach to quantify both the physical and monetary value of ecosystem services and co-benefits delivered by an NbS project. We applied an integrated valuation framework to a case study in Virginia Beach, VA, USA, where …

Modeling Ion-Specific Effects In Polyelectrolyte Brushes: A Modified Poisson-Nernst-Planck Model, William J. Ceely, Marina Chugunova, Ali Nadim, James D. Sterling

Business and Information Technology Faculty Research & Creative Works

Polyelectrolyte brushes consist of a set of charged linear macromolecules, each tethered at one end to a surface. An example is the glycocalyx which refers to hair-like negatively charged sugar molecules that coat the outside membrane of all cells. We consider the transport and equilibrium distribution of ions and the resulting electrical potential when such a brush is immersed in a salt buffer containing monovalent cations (sodium and/or potassium). The Gouy-Chapman model for ion screening at a charged surface captures the effects of the Coulombic force that drives ion electrophoresis and diffusion but neglects non-Coulombic forces and ion pairing. By …

Artificial Intelligence And Digital Technologies In Finance: A Comprehensive Review, Soudeh Pazouki, Mohamad Jamshidi, Mirarmia Jalali, Arya Tafreshi

Finance Faculty Publications

This study explores the transformative impact of artificial intelligence (AI) and digital technologies on the financial technology (FinTech) industry, highlighting their role in fostering business growth, operational efficiency, and enhanced customer engagement. AI-driven strategies have unlocked new avenues for streamlining workflows, boosting productivity, and expanding financial inclusion by reaching underrepresented populations. However, these advancements also pose challenges, including navigating complex regulatory frameworks and adapting to the rapidly evolving technological landscape. This paper delves into the macroeconomic effects of AI, examining its influence on labor markets, consumer behavior, and organizational success. Furthermore, the paper discusses blockchain applications and their potential to …

Technologies Of Violence: Law, Markets, And Innovation For Gun Safety, Joseph Blocher, Christopher Buccafusco

Faculty Scholarship

Violence in the United States is distinctive in many ways, perhaps none more visceral and fundamental than the technologies with which it is practiced. American violence disproportionately involves guns, and because guns are such an effective tool of violence, confrontations involving them are disproportionately deadly. Decades of research confirm this "instrumentality effect, " and it is reflected in the broad, bipartisan agreement that the nation has a gun violence problem. The deep disagreement, of course, remains about how to address it, with most of the debate focused on regulating who can carry which guns, where, and how.

But fully understanding, …

Predicting Crises On The African Frontier Stock Markets With Investor Sentiment Indicators: A Machine Learning Approach, David Korsah, Lord Mensah

Journal of International Technology and Information Management

This study examined the predictive ability of machine learning algorithms in identifying crises within African stock markets. The study employed seven distinct machine-learning models, analyzing historical stock prices from eight stock markets, three major sentiment indicators, and the exchange rates of local currencies against the US dollar, with each data spanning from May 1, 2007, to April 1, 2023. Extreme Gradient Boosting (XGBoost) emerged as the most effective algorithm for predicting crises. Historical stock prices and exchange rates were identified as the most critical features for prediction. On the sentiment side, investors’ perceptions of potential volatility on the S&P 500, …

A Conceptual View Of Data For Decision-Oriented Databases: A Knowledge-Driven Approach, Sung-Kwan Kim, Wenjun Wang, Seunghyun Kim

Journal of International Technology and Information Management

Typical database design goes through three levels of data modeling: conceptual modeling, logical modeling, and physical modeling. In particular, conceptual modeling is important since it captures and documents user data requirements. Conceptual modeling serves as a blueprint for designing a database by defining information content to be included in a database. Presently, decision-oriented databases have no well-accepted conceptual modeling approach to apply. While some use conceptual modeling approaches for transaction-oriented databases such as the ER (Entity-Relationship) model, they are not well-suited for decision-oriented databases. It is hard to map from the ER Model to decision-oriented data models. Others attempt to …

Preventive Health Care Information Seeking Behaviors Among Baby Boomers In Taiwan, Alexander N. Chen, Michael J. Rubach, Tracy Suter, Hsin Ke Lu, Mark E. Mcmurtrey

Journal of International Technology and Information Management

Preventive health care is widely acknowledged as one of the most effective ways to reduce medical costs and enhance people's health. Preventive health care information (PHCI) is a crucial component. This study examines the PHCI-seeking behaviors of Taiwanese baby boomers. The study found some support for the idea that the preferred media used influenced the likelihood of Information seeking behavior. People with good health conditions were found to be more likely to seek PHCI, while people with greater health care needs sought out PHCI less frequently. The study examined social influences, which were found to be important. Three different types …

Pedagogy In The Age Of Ai: Exploring Generative Ai For Higher Education, Alison Munsch Phd

Journal of International Technology and Information Management

Generative Artificial Intelligence (AI) presents transformative opportunities for higher education, enabling personalized learning, enhanced student engagement, and efficient pedagogical practices. This tutorial-style article guides educators in integrating generative AI into their classrooms through hands-on activities, practical strategies, and reflective exercises. It explores the capabilities of AI tools such as ChatGPT, their applications across disciplines, and the ethical considerations for their use. By cultivating critical thinking and fostering student readiness for AI-driven futures, this article underscores the transformative potential of generative AI in higher education with an emphasis on the academic areas of business analytics, information systems, and computer science.

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 …

Predicting Global Healthcare Supply Chain Delays: A Machine Learning Approach Leveraging Country-Level Logistics Metrics, Jeevan Sai Gali, Nima Molavi, Sepideh Alavi

Journal of International Technology and Information Management

In global healthcare logistics, ensuring the timely delivery of medical commodities is critical, particularly in low- and middle-income countries characterized by infrastructural limitations and operational uncertainties. This research introduces an advanced, data-driven predictive framework designed to forecast delivery delays by synthesizing granular, internal shipment-level data from the USAID Global Health Supply Chain Program (GHSC-PSM) with external country-level logistics capabilities indicators derived from the World Bank’s Logistics Performance Index (LPI). Rather than relying on retrospective trend analyses, this study employs machine learning algorithms such as Random Forest, XGBoost, Support Vector Machines (SVM), and Multi-Layer Perceptron (MLP) to detect …

Older People's Consumption Decisions On Technological Products From A Time Perspective, Xiaowei Huang

Dissertations and Theses Collection (Open Access)

The Silver Wave and the Technological Wave are leading social changes in the 21st century. Globally, aging populations have become increasingly dependent on technology. Smart health devices, smart home gadgets, and mental health tools can improve older adults' quality of life, enhance health management, and promote social interaction. Smart products, incorporating artificial intelligence (AI), offer enhanced support for older adults, ranging from remote health monitoring to social companionship. The improvement in AI technology, in turn, expands the potential of technological products to address older consumers’ physical and emotional needs. However, most existing studies don't address deeper personality traits such as …

A Comprehensive Academic And Industrial Survey Of Blockchain Technology For The Energy Sector Using Fuzzy Einstein Decision-Making, Umit Cali, Annabelle Lee, Barry Hayes, Claudio Lima, D. Jonathan Sebastian-Cardenas, David Flynn, Emre Kantar, Farrokh Rahimi, Kaung Si Thu, Marco Pasetti, Marthe Fogstad Dynge, Merlinda Andoni, Muhammet Deveci, Murat Kuzlu, Raquel Alanso, Kim-Kwang Raymond Choo, Sambeet Mishra, Shammya Shananda Saha, Sonam Norbu, Srinikhil Gourisetti, Ugur Halden, Vahid Hosseinezhad, Valentin Robu

Engineering Technology Faculty Publications

The global energy sector is undergoing a significant transformation driven by decarbonization and digitalization, leading to the emergence of Distributed Ledger Technology (DLT) — particularly blockchain — as a promising tool for enhancing transparency, security, and efficiency in modern power systems. This study aims to provide a comprehensive academic and industrial survey of blockchain applications in the energy sector and develop a robust decision-making framework to identify and prioritize the most promising real-world use cases based on multidisciplinary criteria. A three-stage methodology was adopted: (i) a literature and market review encompassing over 300 academic publications and commercial blockchain initiatives in …

Exploring Vr User Experiences, Sarah Ferguson, Demetrice Smith-Mutegi, Brett Cook-Snell

Teaching & Learning Faculty Publications

Virtual reality (VR) has unique potential for simulating environments and situations beyond real-life experiences. This study investigates the limitations of VR equipment design for learning spaces, specifically online environments. Presented are the findings of an exploratory study that examined the immersion, ease of use, and physiological and emotional experiences of seven university students participating in a 30–60 min VR session. Given the small sample size, the findings were analyzed with descriptive statistics and qualitatively. The results revealed that participants recognized the potential of VR as a teaching and learning tool, while also identifying certain limitations associated with health and safety. …

How Deep-Level And Surface-Level Board Diversity, Formal And Informal Social Structures Affect Innovation, Guoli Chen, Po-Hsuan Hsu, Yen Teik Lee, Daniel Z. Mack

Research Collection Lee Kong Chian School Of Business

Despite a growing interest in understanding how board diversity shapes firms’ innovation, findings about the impact of board diversity have remained mixed. In this paper, we conceptualize board diversity as two forms – deep-level and surface-level – and find that these two forms of board diversity have opposing effects on a firm's innovation. We also theorize how formal and informal social structures can strengthen the positive effect of deep-level diversity yet simultaneously weaken the negative impact of surface-level diversity. We test our hypotheses with a panel of 42,432 firm-year observations from 2000 to 2019. Our paper contributes to the literature …

Modeling Healthcare Managerial And It Sophistication, Gary Hackbarth, Teuta Cata

Journal of International Technology and Information Management

Sophisticated healthcare managers understand that managing information and selecting technology are two related but separate skill sets. Information Technology Governance (ITG) allows healthcare organizations to deal with complex issues, compete effectively, and support patient needs by integrating managerial and IT sophistication to improve business performance. An organizational model that merges IT and managerial sophistication by improving ITG to forecast business outcomes must grasp the intricacies of technology to acquire, manage, and utilize information technology in alignment with business strategies. The proposed model differentiates between internal and external IT management strategic thinking, emphasizing the critical need to govern IT effectively by …

Adapting To Win: Churchill Downs Inc. And The New Era Of Entertainment And Betting., Mahesh Gupta, William Ferko, Thomas E. Lambert

Faculty and Staff Scholarship

This paper provides a comprehensive analysis of Churchill Downs Inc. (CDInc), a cornerstone of the Thoroughbred racing industry and the distinguished host of the Kentucky Derby. Situated at a critical juncture in the rapidly evolving spheres of gambling and entertainment, CDInc faces unique challenges and opportunities to maintain its preeminence and adapt to new market demands. Utilizing the Service Triangle framework, this study offers a deep dive into CDInc’s strategic operations, service delivery, and competitive positioning. The framework helps illuminate how shifts in consumer behavior, technological innovations, and regulatory changes are reshaping the industry. Despite facing challenges such as declining …

Transformative Impact Of Ai And Digital Technologies On The Fintech Industry: A Comprehensive Review, Soudeh Pazouki, Behdad Jamshidi, Armia Jalali, Arya Tafreshi

Finance Faculty Publications

This paper examines the impact of artificial intelligence (AI) and digital technologies on the financial technology (FinTech) industry and demonstrates how AI- enabled strategies are increasing the ability of businesses not only to grow, but also to better serve their customers through operational efficiencies. But as immersive as the technological advancements may be, they present challenges in connection with increasingly complicated licensing regulations and a constantly evolving technological landscape. We examine the way AI and algorithms are streamlining workflows, enhancing productivity and expanding access to financial resources for traditionally under – served populations. The paper also discusses the macroeconomic implications …

การบริหารจัดการงานบำรุงรักษาอัจฉริยะสำหรับโรงงานอุตสาหกรรมระบบอัตโนมัติโดยใช้กระบวนการการค้นหาในปริภูมิสถานะ (กรณีศึกษา โรงงานผลิตสายไฟ), ณัฐวรรณ ทองแต้ม

Chulalongkorn University Theses and Dissertations (Chula ETD)

การศึกษานี้มีวัตถุประสงค์เพื่อพัฒนาต้นแบบระบบการบริหารจัดการงานบำรุงรักษาอัจฉริยะ (Intelligent Maintenance System:IMS) สำหรับโรงงานอุตสาหกรรมระบบอัตโนมัติ โดยประยุกต์กระบวนการค้นหาในปริภูมิสถานะ (State Space Search) เพื่อเพิ่มประสิทธิภาพการวางแผนบำรุงรักษา งานวิจัยใช้กรณีศึกษาจากโรงงานผลิตสายไฟฟ้าในประเทศไทย ซึ่งมีเครื่องจักรอัตโนมัติมากกว่า 20 เครื่องและอะไหล่มากกว่า 3,000 รายการต่อเครื่องจักร ระเบียบวิธีวิจัยใช้แนวทางแบบผสมผสาน (Mixed-method) ด้วยการสัมภาษณ์เชิงลึกและการสำรวจเชิงปริมาณเพื่อศึกษาปัจจัยที่มีผลต่อการยอมรับระบบการบริหารจัดการงานบำรุงรักษาอัจฉริยะตามกรอบแนวคิดแบบจำลองการยอมรับเทคโนโลยี (Technology Acceptance Model: TAM) และการประเมินความเป็นไปได้ทางธุรกิจด้วยกรอบ (Business Model Canvas:BMC) พร้อมทั้งพัฒนาโปรแกรมต้นแบบด้วยภาษา Python เพื่อจำลองการวางแผนการบำรุงรักษาอัจฉริยะด้วยการทดสอบทั้งอัลกอริทึมการค้นหาแบบไม่รู้ข้อมูล (Uninformed Search) และแบบรู้ข้อมูล (Informed Search) เพื่อเปรียบเทียบประสิทธิภาพในการค้นหา ผลการวิจัยพบว่าการประยุกต์ใช้การค้นหาในปริภูมิสถานะสามารถระบุช่วงเวลาบำรุงรักษาที่เหมาะสม โดยพิจารณาจากต้นทุนการบำรุงรักษา อายุคงเหลือของอะไหล่ และค่าความเสี่ยง อีกทั้งระบบยังสามารถจำลองสถานการณ์บำรุงรักษาในเดือนที่กำหนด งบประมาณต่อเดือน ปรับเปลียนอายุการใช้งานคงเหลือของอะไหล่ รวมถึงจำลองการชำรุดของอะไหล่เพื่อให้การวางแผนบำรุงรักษามีประสิทธิภาพสูงกว่าวิธีการบำรุงรักษาตามรอบแบบเดิม ข้อเสนอจากการวิจัยชี้ให้เห็นถึงศักยภาพในการพัฒนาระบบการบริหารจัดการงานบำรุงรักษาอัจฉริยะเพื่อใช้งานเชิงพาณิชย์ และต่อยอดสู่กลุ่มอุตสาหกรรมอื่น ตลอดจนการพัฒนาอัลกอริทึมขั้นสูงเพิ่มเติมเพื่อเพิ่มความฉลาดของระบบให้สอดคล้องกับการเปลี่ยนแปลงของเทคโนโลยีและอุตสาหกรรมในอนาคต