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Full-Text Articles in Business

Financial Market Intermediaries And Retail Investor Judgments, Timothy John Potsaid Jan 2024

Financial Market Intermediaries And Retail Investor Judgments, Timothy John Potsaid

2024

This dissertation examines how retail investors interact with three different financial market intermediaries – online stock brokerages, financial analysts, and auditors.

The first paper explores how trading restrictions impact retail investor perceptions of the brokerage that imposed the restriction contingent on the subsequent price trajectory of the stock. We find that when stock prices increase following a restriction (a non-gain), participants are more likely to react negatively to the brokerage than when stock prices decrease (a non-loss). This relationship is moderated by participants’ level of I-FoMO – or fear of missing out on investment information. These findings provide practical insight …


Empowering Kokal: A Decolonized, Community-Led Development Model In Homa Bay County, Kenya, Kennedy Miruka Jan 2024

Empowering Kokal: A Decolonized, Community-Led Development Model In Homa Bay County, Kenya, Kennedy Miruka

Regis University Student Publications (comprehensive collection)

In Homa Bay County, Kenya, a community-led development initiative called the Power Centre is transforming the fight against poverty and powerlessness. Grounded in principles of decolonization and participatory action, this project addresses the root causes of marginalization by empowering residents of Kokal Village to become active agents of change. Through a robust mixed-methods research approach, the project identifies systemic challenges and leverages existing social networks to build a sustainable, locally-owned model for development. The Power Centre implements a three-pronged strategy, focusing on increasing community participation, strengthening existing groups, and fostering collaborative networks to weave a robust support system. By addressing …


Power Centres: A Collaborative Development Proposal For Addressing Poverty And Related Challenges In Rural Communities In Kenya, Kennedy Okello Miruka, Kennedy Okello Miruka Jan 2024

Power Centres: A Collaborative Development Proposal For Addressing Poverty And Related Challenges In Rural Communities In Kenya, Kennedy Okello Miruka, Kennedy Okello Miruka

Regis University Student Publications (comprehensive collection)

In Homa Bay County, Kenya, a community-led development initiative called the Power Centre is transforming the fight against poverty and powerlessness. Grounded in principles of decolonization and participatory action, this project addresses the root causes of marginalization by empowering residents of Kokal Village to become active agents of change. Through a robust mixed-methods research approach, the project identifies systemic challenges and leverages existing social networks to build a sustainable, locally-owned model for development. The Power Centre implements a three-pronged strategy, focusing on increasing community participation, strengthening existing groups, and fostering collaborative networks to weave a robust support system. By addressing …


How Increased Ransomware Attacks Have Impacted Hospitals In The United States, Mackenzie Dotson Jan 2024

How Increased Ransomware Attacks Have Impacted Hospitals In The United States, Mackenzie Dotson

Theses, Dissertations and Capstones

Introduction: The healthcare industry, particularly hospitals, have fallen prey to the alarming rise of ransomware attacks. In recent years, highly sophisticated cybergroups, armed with substantial funds and advanced technology, have intensified their focus on hospitals. Despite the advice against it, most hospitals have paid the ransom in order to regain access to their electronic systems and patient data, underlining the severity of these attacks.

Purpose of the Study: The purpose of this research was to evaluate the effects of ransomware attacks on hospitals in the US to determine if the patients were at risk due to hackers withholding patient information …


The Measure Of Efficiency And Effectiveness When Using Artificial Intelligence (Ai) In Radiology, Jordan Watts Jan 2024

The Measure Of Efficiency And Effectiveness When Using Artificial Intelligence (Ai) In Radiology, Jordan Watts

Theses, Dissertations and Capstones

Introduction: The use of artificial intelligence in radiology has helped radiologists identify patterns and abnormalities in medical images to diagnose and treat patients. Deep learning and machine learning algorithms have been used to assist physicians in detecting features that are not noticeable to the human eye. The FDA has approved almost 400 AI algorithms for radiology and estimated that the market for AI in medical imaging would grow from $21.48 billion in 2018 to $264.85 billion in 2028.

Purpose of the Study: The purpose of this research was to evaluate the use of artificial intelligence in radiology to determine its …


Machine Intelligence With Associative Memory And Event-Driven Transaction History, Rao Mikkilineni, W. Patrick Kelly Jan 2024

Machine Intelligence With Associative Memory And Event-Driven Transaction History, Rao Mikkilineni, W. Patrick Kelly

Barowsky School of Business | Faculty Scholarship

Digital machine intelligence has evolved from its inception in the form of computation of numbers to AI, which is centered around performing cognitive tasks that humans can perform, such as predictive reasoning or complex calculations. The state of the art includes tasks that are easily described by a list of formal, mathematical rules or a sequence of event-driven actions such as modeling, simulation, business workflows, interaction with devices, etc., and also tasks that are easy to do “intuitively”, but are hard to describe formally or as a sequence of event-driven actions such as recognizing spoken words or faces. While these …


2023 San Diego Regional Climate Collaborative Annual Report, San Diego Regional Climate Collaborative Jan 2024

2023 San Diego Regional Climate Collaborative Annual Report, San Diego Regional Climate Collaborative

San Diego Regional Climate Collaborative

The San Diego Regional Climate Collaborative is a network for public agencies that serves the San Diego region to share expertise, leverage resources and advance comprehensive solutions to facilitate climate change planning. By partnering with academia, nonprofits, and businesses, the SDRCC also works to leverage the profile of regional leadership. This is the 2023 San Diego Regional Climate Collaborative Annual Report.


Winona State University Improving Our World Blog: 2013-2022, Winona State University Jan 2024

Winona State University Improving Our World Blog: 2013-2022, Winona State University

Winona State University Blogs

The Winona State University (WSU) Improving Our World Blog articles and entries from September 2013-February 2022. Note: there may be format coding in the document.


Winona State University Rochester Blog:2014-2023, Winona State University Jan 2024

Winona State University Rochester Blog:2014-2023, Winona State University

Winona State University Blogs

The Winona State University (WSU) Rochester Blog includes articles and entries from May 2014-March 2023. Note: there may be format coding in the document.


Winona State University Campus Life Blog: 2013-2022, Winona State University Jan 2024

Winona State University Campus Life Blog: 2013-2022, Winona State University

Winona State University Blogs

The Winona State University (WSU) Campus Life Blog includes articles and entries from October 2013- October 2022. Note: there may be format coding in the document.


Winona State University Wellness Blog: 2013-2023, Winona State University Jan 2024

Winona State University Wellness Blog: 2013-2023, Winona State University

Winona State University Blogs

The Winona State University (WSU) Wellness blog includes articles and entries from February 2013-February 2023. Note: there may be format coding in the document.


Prediction Of Carbonation Capacity Of Scms Using Ensemble Learning Method, Kangyi Cai, Jian Liu, Edward Mwanza, Mahelet G. Fikru, Hongyan Ma, Donald C. Wunsch Jan 2024

Prediction Of Carbonation Capacity Of Scms Using Ensemble Learning Method, Kangyi Cai, Jian Liu, Edward Mwanza, Mahelet G. Fikru, Hongyan Ma, Donald C. Wunsch

Economics Faculty Research & Creative Works

The utilization of supplementary cementitious materials (SCMs) subjected to carbonation processing represents a viable strategy to mitigate anthropogenic CO2 emissions associated with concrete production, potentially contributing to the achievement of carbon neutrality. However, existing studies have limitations in effectively predicting the varying carbonation capacities of different SCMs, a gap that this research aims to address. Recent research efforts focused on the carbonation of waste-material-sourced SCMs are reviewed, along with a comparative discussion on diverse carbonation methods. A detailed data set encapsulating the properties of SCMs, and carbonation configurations was compiled. At the same time, six ensemble learning models were …


A Review Of Hybrid Cyber Threats Modelling And Detection Using Artificial Intelligence In Iiot, Yifan Liu, Shancang Li, Xinheng Wang, Li Xu Jan 2024

A Review Of Hybrid Cyber Threats Modelling And Detection Using Artificial Intelligence In Iiot, Yifan Liu, Shancang Li, Xinheng Wang, Li Xu

Information Technology & Decision Sciences Faculty Publications

The Industrial Internet of Things (IIoT) has brought numerous benefits, such as improved efficiency, smart analytics, and increased automation. However, it also exposes connected devices, users, applications, and data generated to cyber security threats that need to be addressed. This work investigates hybrid cyber threats (HCTs), which are now working on an entirely new level with the increasingly adopted IIoT. This work focuses on emerging methods to model, detect, and defend against hybrid cyber attacks using machine learning (ML) techniques. Specifically, a novel ML-based HCT modelling and analysis framework was proposed, in which regularisation and Random Forest …


Environmental Metrics In Action: Exploring U.S. Superfund Sites Affiliated With The Fashion Industry, Nidia K. Trejo Jan 2024

Environmental Metrics In Action: Exploring U.S. Superfund Sites Affiliated With The Fashion Industry, Nidia K. Trejo

Textile Society of America: Symposium Proceedings

Little is known of Superfund sites, long-term clean up sites, affiliated with the apparel and footwear supply chain in the United States. The United States Environmental Protection Agency (US EPA) manages the clean up of contaminated sites that pose a significant risk to human health and the environment under the Superfund program. A site can become contaminated if hazardous waste from industrial operations are mismanaged or dumped into the environment, in an uncontrolled manner. In this study, a proposed Superfund site (Mohawk Tannery in Nashua, New Hampshire), an active Superfund site (Ciba-Geigy Corp. in Toms River, New Jersery), and a …


Entrepreneurship Education In The Lens Of The Senior High School Students, Calvin J. Caliat, Nehmar J. Dalhadi, Kathleen M. Ishmael Jan 2024

Entrepreneurship Education In The Lens Of The Senior High School Students, Calvin J. Caliat, Nehmar J. Dalhadi, Kathleen M. Ishmael

ASEAN Journal on Science and Technology for Development

This study uncovers the perspective on the entrepreneurship education of senior high school students on the university campus. This paper is employed a descriptive research design using a survey ques-tionnaire for the respondents. The survey found that respondents are willing to engage in business be-tween one to 10 years after college. The willingness is due to the encouragement from their parents, independent decision-making, building self-confidence and knowledge, and chasing their dreams. However, there are two significant factors that hinder this, including a need for more business investment and experience. The principal attitudes of an entrepreneur include self-control and creativity. Gaining …


Sscm: A Secured Approach To Supply Chain Management Using Blowfish Optimization, Shitharth Selvarajan, Hariprasath Manoharan, Alaa O. Khadidos, Achyut Shankar, Adil O. Khadidos, Wattana Viriyasitavat, Li Da Xu Jan 2024

Sscm: A Secured Approach To Supply Chain Management Using Blowfish Optimization, Shitharth Selvarajan, Hariprasath Manoharan, Alaa O. Khadidos, Achyut Shankar, Adil O. Khadidos, Wattana Viriyasitavat, Li Da Xu

Information Technology & Decision Sciences Faculty Publications

This study examines the importance of enterprise information systems that link several corporate organisations to share information about diverse products under high security settings. The primary goal of the proposed strategy is to create a direct link between product demand and production to minimise the impact of rising costs. The research motive to make a connection cannot be resolved without suitable data that shows both quantity and quality in each organisation unit. The suggested method is designed to deliver accurate data to authorised end users while preventing any data exposure to unauthorised users. Security cryptographic keys are utilised to create …


Asem 4.0/5.0 - Evolving The Engineering Management Profession Through Industry 4.0/5.0 Collaborative Networks, T. Steven Cotter, Faisal Mahmud, Ziniya Zahedi Jan 2024

Asem 4.0/5.0 - Evolving The Engineering Management Profession Through Industry 4.0/5.0 Collaborative Networks, T. Steven Cotter, Faisal Mahmud, Ziniya Zahedi

Engineering Management & Systems Engineering Faculty Publications

The American Society for Engineering Management was created and matured under Industry 3.0 automation. The emergence of Industry 4.0 and 5.0 are forcing all organizational sectors to rethink their long-term strategy with respect to emerging horizontal/vertical cyber-physical systems integration. This leaves open the question of the directions in which ASEM should evolve into the 21st century. This paper reports an initial mapping of Industry 4.0 and 5.0 technologies and initiatives as goal-oriented, long-term strategic collaborative networks. The research method began with the Boston Consulting Group nine technologies of Industry 4.0 (2015) and the Industry 5.0 technologies within its human-centric, sustainability, …


Swosu Research And Scholarly Activity Fair 2024, Swosu Office Of Sponsored Programs Jan 2024

Swosu Research And Scholarly Activity Fair 2024, Swosu Office Of Sponsored Programs

SWOSU Research and Scholarly Activity Fair Programs

On behalf of the members of the University Research and Scholarly Activity Committee (USRAC) and the Office of Sponsored Programs (OSP) at Southwestern Oklahoma State University (SWOSU) - Welcome to the Thirty-Second SWOSU Research and Scholarly Activity Fair! There are 61 poster presentations and 10 oral presentations involving over 100 student and faculty researchers, writers, presenters, artists, collaborators, and faculty sponsors encompassing activities from the SWOSU Departments of Biological Sciences, Chemistry & Physics, Engineering Technology, Kinesiology, Language & Literature, Mathematics, Music, Parks and Recreation Management, Pharmacy, Psychology, and Social Sciences.


A Comprehensive Study Of Patent Litigation In The Pharmaceutical Sector: Employing Network Theories, Graph Neural Networks, Agent Based Modeling, Bayesian Network Autocorrelation Models, Sreehas Gopinathan Jan 2024

A Comprehensive Study Of Patent Litigation In The Pharmaceutical Sector: Employing Network Theories, Graph Neural Networks, Agent Based Modeling, Bayesian Network Autocorrelation Models, Sreehas Gopinathan

Information Systems & Operations Management Dissertations - Archive

Understanding the dynamics and predictors of patent litigation is crucial in intellectual property management, especially given the competitive edge patents offer companies. Also, patents serve as both legal tools and repositories of innovation. This research delves into the complex world of patent litigation within the pharmaceutical industry, focusing on creating and applying advanced computational models to study litigation propensities. Techniques such as Graph Neural Networks (GNN), Agent-Based Modeling (ABM), and Bayesian Analysis of Network Autocorrelation Models (BANAM) are employed to explore the litigation phenomenon


Trading Cloud Computing Stocks Using Sma, Xianrong Zheng, Lingyu Li Jan 2024

Trading Cloud Computing Stocks Using Sma, Xianrong Zheng, Lingyu Li

Information Technology & Decision Sciences Faculty Publications

As cloud computing adoption becomes mainstream, the cloud services market offers vast profits. Moreover, serverless computing, the next stage of cloud computing, comes with huge economic potential. To capitalize on this trend, investors are interested in trading cloud stocks. As high-growth technology stocks, investing in cloud stocks is both rewarding and challenging. The research question here is how a trading strategy will perform on cloud stocks. As a result, this paper employs an effective method—Simple Moving Average (SMA)—to trade cloud stocks. To evaluate its performance, we conducted extensive experiments with real market data that spans over 23 years. Results show …


Giving Workers The 'Green Light': Defining Green Jobs And Exploring Their Distribution In The Us, Cole Fuller Jan 2024

Giving Workers The 'Green Light': Defining Green Jobs And Exploring Their Distribution In The Us, Cole Fuller

Honors Theses and Capstones

As the United States continues to adopt sustainable practices and policies to combat climate change, it is important to consider how these green changes affect the workforce. The term ‘Green Jobs’ has become the colloquial term to refer to sustainable occupations, and despite its popularity in the literature, it often has different meanings in different settings. Our first goal was to explore these definitions and establish one to contextualize our research. We used data from the Occupational Information Network, and used their green job definition, which classifies jobs as green if, and how, they are impacted by the greening economy. …


Threading Unity Throughout Itaa: A Collaboration Of Fashion Academics Across Content Threading Unity: Apparel, Marketing, Beauty And Interior Design Within The Fashion Industry, Alyssa Dana Adomaitis, Carter Gabriel Averbeck, Kendel Bolton, Denise Sutton Jan 2024

Threading Unity Throughout Itaa: A Collaboration Of Fashion Academics Across Content Threading Unity: Apparel, Marketing, Beauty And Interior Design Within The Fashion Industry, Alyssa Dana Adomaitis, Carter Gabriel Averbeck, Kendel Bolton, Denise Sutton

Publications and Research

Sustainability has been an academic research topic of late that impacts more than just the fashion industry for apparel. Besides the apparel industry, marketing, beauty, and interior design are aware of the promise of sustainability for both the environment and consumers. Sustainability reduces its environmental impacts of pollutants such as carbon footprints and unsold inventory, protecting workers who create garments, and animal welfare (Biela-Weyenberg, 2023) which can impact the supply chain. “The United Nations established the UN Alliance for Sustainable Fashion in 2019 to hold fashion brands to a higher standard to create environmentally friendly apparel” (2023, p.1). Through modern …


Climate Risk, Insurance Retreat, And State Response, Mark P. Nevitt, Michael Pappas Jan 2024

Climate Risk, Insurance Retreat, And State Response, Mark P. Nevitt, Michael Pappas

Faculty Articles

Climate change is fundamentally destabilizing the private insurance industry, with many high-profile insurance companies exiting states in the face of catastrophic, climate-­induced risk. This rapid "insurance retreat" represents a major market signal in response to climate-exacerbated risks. Private businesses are making actuarial decisions, assessing that some locations are just too vulnerable to insure. At the same time, this insurance retreat also poses a policy challenge for states as they react to the mounting insurance gaps left by exiting private insurers.

This Article analyzes insurance retreat, its attendant policy challenges, and the lessons that can be drawn from state responses. It …


Data Science In Finance: Challenges And Opportunities, Xianrong Zheng, Elizabeth Gildea, Sheng Chai, Tongxiao Zhang, Shuxi Wang Jan 2024

Data Science In Finance: Challenges And Opportunities, Xianrong Zheng, Elizabeth Gildea, Sheng Chai, Tongxiao Zhang, Shuxi Wang

Information Technology & Decision Sciences Faculty Publications

Data science has become increasingly popular due to emerging technologies, including generative AI, big data, deep learning, etc. It can provide insights from data that are hard to determine from a human perspective. Data science in finance helps to provide more personal and safer experiences for customers and develop cutting-edge solutions for a company. This paper surveys the challenges and opportunities in applying data science to finance. It provides a state-of-the-art review of financial technologies, algorithmic trading, and fraud detection. Also, the paper identifies two research topics. One is how to use generative AI in algorithmic trading. The other is …


Exploring Hedonic And Utilitarian Aspects Through Perceived Warmth In Human-Designed Vs. Ai-Generated Fashion, Dooyoung Choi, Ha Kyung Lee Jan 2024

Exploring Hedonic And Utilitarian Aspects Through Perceived Warmth In Human-Designed Vs. Ai-Generated Fashion, Dooyoung Choi, Ha Kyung Lee

Educational Leadership & Workforce Development Faculty Publications

Among various ways in which artificial intelligence (AI) is used in the fashion industry, its utilization in design has sparked public discussion about the potential replacement of human designers by AI. Along with this critical question, it is imminent to examine how consumers would respond to designs by AI. The purpose of this study is to explore consumers’ perceptions toward a fashion product labeled as generated by an AI system, comparing it to the same product labeled as designed by a human designer. Specifically, drawing from existing literature, we examine if the design source affects consumers’ perceptions of a product …


Ai-Designed Clothing And Perceived Values: What Can Move Consumers' Minds With The Ai-Designed Clothing?, Dooyoung Choi, Ha Kyung Lee Jan 2024

Ai-Designed Clothing And Perceived Values: What Can Move Consumers' Minds With The Ai-Designed Clothing?, Dooyoung Choi, Ha Kyung Lee

STEMPS Faculty Publications

This study investigates the perceived values of AI-designed clothing (quality, emotion, ease) and their impact on willingness to pay (WTP) and word-of-mouth (WOM), with the moderating effect of gender differences. A total of 314 respondents completed the survey via MTurk. Participants watched a video clip demonstrating how an AI system creates various clothing designs by altering garment elements (e.g., style, size). After watching the video clip, they were asked to answer a series of questions about the AI-designed clothing and themselves. The collected data were analyzed using AMOS 26.0. Results showed that, for male and female consumers, the quality value …


Advancing Environmental Engineering: The Role Of Artificial Intelligence In Sustainable Solutions - A Short Review, Amirreza Talaie, Hesam Kamyab, Ashkan Razmfarsa Jan 2024

Advancing Environmental Engineering: The Role Of Artificial Intelligence In Sustainable Solutions - A Short Review, Amirreza Talaie, Hesam Kamyab, Ashkan Razmfarsa

Management Faculty Publications

Artificial intelligence (AI) has emerged as a transformative force in environmental engineering, offering innovative solutions to complex environmental challenges. From air pollution monitoring and water resource management to waste management, climate change mitigation, and ecological preservation, AI is revolutionizing the way we address environmental issues. Machine learning, neural networks, and other AI technologies are enabling more accurate predictions, optimizing resource use, and improving conservation efforts. However, despite its many advantages, AI also faces challenges such as data availability, energy consumption, ethical concerns, and the need for transparency. This review explores the diverse applications of AI in environmental engineering, highlighting the …


A Quantitative Analysis Of Seaplane Accidents From 1982-2021, David C. Ison Jan 2024

A Quantitative Analysis Of Seaplane Accidents From 1982-2021, David C. Ison

International Journal of Aviation, Aeronautics, and Aerospace

This study aimed to assess and analyze all historical National Transportation Safety Board accident reports since 1982. For analysis, reports were bisected into seaplane (float, amphibian, and hull) and non-seaplane groups. Findings showed that there is a deficiency in the level of available detail on the seaplane fleet and cadre of seaplane pilots in the U.S. During the most recent ten years of complete data (2012-2021) showed a negative trend in all accidents and fatal accidents, although only the latter being statistically convincing. During this timeframe, seaplane accident pilots had significantly higher total time and age than other groups (non-seaplane …


Impact Of Financial Management System On Organizational Accountability And Responsibility: A Study Of Corporate Entities, Nur Farhanah Binti Marjuni, Junaid M. Shaikh Jan 2024

Impact Of Financial Management System On Organizational Accountability And Responsibility: A Study Of Corporate Entities, Nur Farhanah Binti Marjuni, Junaid M. Shaikh

ASEAN Journal on Science and Technology for Development

This research investigates the impact of Financial Management Systems (FMS) on organizational accountability and responsibility in Brunei's manufacturing sector, utilizing a mixed-methods approach that includes primary data collected through questionnaires distributed to 41 local manufacturing companies and supplemented by secondary data from other ASEAN countries for comparative analysis. The primary focus is to assess the awareness and significance of efficient FMS implementation. Findings demonstrate a substantial influence of FMS on organizational accountability and responsibility, supported by an analysis of primary and secondary data from the ASEAN region. Nevertheless, this study acknowledges limitations such as its exclusive focus on Brunei and …


Applications Of Ai/Ml In Maritime Cyber Supply Chains, Rafael Diaz, Ricardo Ungo, Katie Smith, Lida Haghnegahdar, Bikash Singh, Tran Phuong Jan 2024

Applications Of Ai/Ml In Maritime Cyber Supply Chains, Rafael Diaz, Ricardo Ungo, Katie Smith, Lida Haghnegahdar, Bikash Singh, Tran Phuong

School of Cybersecurity Faculty Publications

Digital transformation is a new trend that describes enterprise efforts in transitioning manual and likely outdated processes and activities to digital formats dominated by the extensive use of Industry 4.0 elements, including the pervasive use of cyber-physical systems to increase efficiency, reduce waste, and increase responsiveness. A new domain that intersects supply chain management and cybersecurity emerges as many processes as possible of the enterprise require the convergence and synchronizing of resources and information flows in data-driven environments to support planning and execution activities. Protecting the information becomes imperative as big data flows must be parsed and translated into actions …