Business Intelligence Commons^™

Human Relationship With Nature, Indigenous Ways Of Living And Regenerative Tourism Framework, Asif Hussain

Journal of Sustainability and Resilience

In the post Covid-19 era, human civilisation appears to undergo a significant shift in social-ecological consciousness and an emerging concept of ‘regenerative tourism’ is getting popular. The concept acknowledges the strong linkages between humans and nature and together special conditions are created for life to renew and restore itself. While indigenous people have always been aware of their actions and their impacts on the socio- ecological environments, the scientific community has started to acknowledge indigenous knowledge and ways of living. and integrated intelligence. The key aspect of the indigenous lifestyle is the linkages with physical and social environments where humans …

Bearer Negotiable Instruments: Addressing A Financial Intelligence Gap And Identifying Criminogenic Weaknesses, Hollis B. Kegg

Dissertations, Theses, and Capstone Projects

Bearer Negotiable Instruments (BNI) are a long-standing category of financial instruments used to transfer large amounts of money in ways that may not be subject to regulation, reporting, tracking, review, or oversight. There is limited information available on BNIs, and no evidence that any studies have been undertaken on BNIs alone, much less reported. Increasingly, BNIs are being used for illegal purposes including money laundering. This study gathers information about their characteristics, nature, purpose, legal status, and numbers. It also focuses on the crime risks associated with BNIs, the crime opportunities they facilitate, and the criminal weaknesses in the financial …

U.S. Energy Information Administration Information Resources, Bert Chapman

Libraries Faculty and Staff Presentations

Provides information about the resources produced by U.S. Department of Energy's Energy Information Administration. These resources cover energy statistics for U.S., states, the United States, and foreign countries. They also cover energy products as varied as coal, natural gas, nuclear energy, petroleum, and renewable energy.

Internal And Security Investigations Today, Alan Saquella

Publications

Years of experience and discussions with colleagues in the corporate investigative field agree that internal and employee investigations can be disruptive to the work environment. Many workplace investigations are conducted are incredibly unsettling due to an extensive list of challenges, circles, and processes to follow. Security investigations are time consuming, expensive, embarrassing for interviewees, cause loss of productivity, and damage morale as they drag on.

Revisiting Cybersecurity Awareness In The Midst Of Disruptions, Avideh Sadaghiani-Tabrizi

International Journal for Business Education

The awareness of cybersecurity and knowledge about risks from a variety of threats, which present harm or steal private information in internetworking could help in mitigation of vulnerabilities to risks of threats in safeguarding information from malware and bots. Revisiting cybersecurity awareness of every member and evaluation of organization’s posture might help to protect sensitive or private information from a network of computers, working together and forming into botnets. The purpose of the qualitative case study narrative was to explore prospects for integrating cybersecurity education into elementary school children’s curriculum through interviews of elementary schoolteachers, IT experts, and parents to …

Business Inferences And Risk Modeling With Machine Learning; The Case Of Aviation Incidents, Burak Cankaya, Kazim Topuz, Aaron M. Glassman

Publications

Machine learning becomes truly valuable only when decision-makers begin to depend on it to optimize decisions. Instilling trust in machine learning is critical for businesses in their efforts to interpret and get insights into data, and to make their analytical choices accessible and subject to accountability. In the field of aviation, the innovative application of machine learning and analytics can facilitate an understanding of the risk of accidents and other incidents. These occur infrequently, generally in an irregular, unpredictable manner, and cause significant disruptions, and hence, they are classified as "high-impact, low-probability" (HILP) events. Aviation incident reports are inspected by …

A Survey Of Retail Trade Patterns In South Dakota: 2013-2022, Rand E. Wergin

Faculty Publications

This paper provides an analysis of retail sales and retail trade in the state of South Dakota for the ten years 2013 to 2022. This analysis will provide information to community leaders in the cities and towns of South Dakota. Retail pull is an economic indicator that provides a measure of community’s economic health and its ability to attract shoppers, both shoppers from its own community and from other communities. A community that has a healthy retail economy is generally able to attract shoppers from its own community as well as surrounding communities.

The Need For International Ai Activities Monitoring, Parviz Partow-Navid, Ludwig Slusky

Journal of International Technology and Information Management

This paper focuses primarily on the need to monitor the risks arising from the dual-use of Artificial Intelligence (AI). Dual-use AI technology capability makes it applicable for defense systems and consequently may pose significant security risks, both intentional and unintentional, with the national and international scope of effects. While domestic use of AI remains the prerogative of individual countries, the unregulated and nonmonitored use of AI with international implications presents a specific concern. An international organization tasked with monitoring potential threats of AI activities could help defuse AI-associated risks and promote global cooperation in developing and deploying AI technology. The …

Determinants Of Continuance Intention To Use Mobile Wallets Technology In The Post Pandemic Era: Moderating Role Of Perceived Trust, Shailja Tripathi

Journal of International Technology and Information Management

The Covid-19 pandemic amplified the volume and importance of mobile payments using digital wallets and placed a basis for their continued adoption. The objective of the study is to formulate and test a comprehensive model by integration of the technology acceptance model (TAM) and expectation confirmation model (ECM) with the addition of three constructs, namely perceived trust, perceived risk, and subjective norm, to identify the determinants of continuance intention to use mobile wallets. Questionnaire-based survey method was used to gather the data from 550 users having experience using mobile wallets for more than six months. The data were analyzed using …

The Global Minimum Tax: Hurdles To Implementation Of An Effective Tax, Eric H. Mrozek

Honors Theses and Capstones

As a part of an international effort to end tax avoidance, the Organization for Economic Co-operation and Development proposed a global minimum effective corporate tax rate of 15 percent for large multinational corporations. This research examines the obstacles that will need to be overcome to implement this legislation. More specifically, will this legislation ever be enacted in the countries where it matters? If so, when? Can the world unite to implement the largest global tax overhaul in recent memory? Who will it affect? Will corporations change where they do business because of this new tax? How will tax firms deal …

Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun

College of Graduate Studies: Theses & Dissertations

Data science plays a crucial role in enabling organizations to optimize data-driven opportunities within financial risk management. It involves identifying, assessing, and mitigating risks, ultimately safeguarding investments, reducing uncertainty, ensuring regulatory compliance, enhancing decision-making, and fostering long-term sustainability. This thesis explores three facets of Data Science projects: enhancing customer understanding, fraud prevention, and predictive analysis, with the goal of improving existing tools and enabling more informed decision-making. The first project examined leveraged big data technologies, such as Hadoop and Spark, to enhance financial risk management by accurately predicting loan defaulters and their repayment likelihood. In the second project, we investigated …

The Social Media Industry: Where Is It Heading?, Yanli Zhang, Huy Will Nguyen, Young Hoon Jung, Isabelle Yi Ren

Department of Management Faculty Scholarship and Creative Works

The social media industry has entered a new stage with intensifying competition and heightened uncertainty about future directions. The purpose of this paper is to provide analyses of the current challenges and to identify industry-wide trends that may offer a roadmap for the future. This study identified five major trends in the current social media industry: 1) content is king, and that content is moving to visual; 2) artificial intelligence is key to competitive advantage; 3) network effects still matter, but business model innovation can overcome that barrier; 4) the need to broaden revenue sources; and 5) the strive for …

Gamestopped: How Robinhood’S Gamestop Trading Halt Reveals The Complexities Of Retail Investor Protection, Neal F. Newman

Fordham Journal of Corporate & Financial Law

Should brokers have the unfettered right to restrict investor trading? GameStop, a brick-and-mortar video game retailer, had been experiencing declining revenues since 2016. However, GameStop saw its share price climb almost 1000 percent in the span of a one- week period from January 21, 2021 to January 27, 2021 due to retail investors buying significant amounts of GameStop shares during that period. Melvin Capital, a hedge fund, ended up losing billions as they were betting that GameStop shares would lose value instead of increase—a practice referred to as short selling. On January 28, 2021, brokers inexplicably halted trading on GameStop …

The Solution To Shadow Trading Is Not Found In Current Insider Trading Law: A Proposed Amendment To Rule 10b5-2, Jamel Gross-Cassel

Fordham Journal of Corporate & Financial Law

Shadow trading is a lucrative way to exploit a loophole in insider trading law. Insiders abuse this loophole to make six-figure profits and escape liability when done at the right companies. Those who shadow trade use material, nonpublic information to trade not in the securities of their own company, which would be illegal, but in the securities of a closely related company where the information is just as impactful. Efforts to close this loophole rely on the individual insider trading policies of the involved companies. These policies vary in language, making liability for shadow trading dependent on specific language or …

Consumers’ Responses To New Technologies In The Marketplace, Umair Usman

Theses and Dissertations--Marketing and Supply Chain

Chapter 1. This research examines whether the use of blockchain technology to back a brand’s claims (i.e., blockchain augmented claims) influences consumer preference for sustainable products. Consumers are demanding higher levels of transparency from brands and are also showing keen interest in consuming sustainable products, which includes products that promote social, environmental and economic sustainability. Recent advancement in digital technology, specifically blockchain, is offering an opportunity for brands to meet both these consumer demands. In five laboratory studies, I demonstrate that blockchain augmented claims, as compared to traditional industry practices (i.e., use of third-party labels and brand’s self-made claims), increases …

The Effects Of Different Personalized Services On Consumer Cognition, Emotion, And Intention To Share Information, Thomas John Stimson Ii, Jing Wang

Honors Theses and Capstones

No abstract provided.

Short-Term Prediction Of Icu Admission For Covid-19 Inpatients, Yoon Sang Lee, Riyaz T. Sikora

Journal of International Technology and Information Management

Since the COVID-19 outbreak, many hospitals suffered from a surge of some high-risk inpatients needing to be admitted to the ICU. In this study, we propose a method

predicting the likelihood of COVID-19 inpatients’ admission to the ICU within a time frame of 12 hours. Four steps, the Bayesian Ridge Regression-based missing value imputation, the synthesis of training samples by the combination of two rows (the first and another row) of each patient, customized oversampling, and XGBoost classifier, are used for the proposed method. In the experiment, the AUC-ROC and F-score of our method is compared with those of other …

Learning Outcomes And Learner Satisfaction: The Mediating Roles Of Self-Regulated Learning And Dialogues, Sean Eom, Nicholas Jeremy Ashill

Journal of International Technology and Information Management

The interdependent learning process is regarded as a crucial part of e-learning success, but it has been largely ignored in e-learning empirical research. Grounded in constructivist and social constructivist theory, we present and test an e-learning success model consisting of eight e-learning critical success factors (CSF) derived from constructivist and social constructivist models. Three hundred seventy-two on-line students from a Midwestern university in the United States participated in the survey. The data collected from the survey was used to examine the partial least squares structural equation model. The results highlight the importance of self-regulated learning and dialogical processes to explain …

Acceptance Of Interoperable Electronic Health Record (Ehrs) Systems: A Tanzanian E-Health Perspective, Emmanuel Mbwambo, Herman Mandari

Journal of International Technology and Information Management

The study assessed factors that influence the acceptance of interoperable electronic Health Records (EHRs) Systems in Tanzania Public Hospitals. The study applied a hybrid model that combined the Technology Acceptance Model (TAM) and Technology-Organization-Environment (TOE). Snowball sampling technique was applied and a total of 340 questionnaires were distributed to selected clinics, polyclinics and hospitals, of which 261 (77%) received questionnaires were considered to be valid and reliable for subsequent data analysis. IBM SPSS software version 27.0 was employed for data analysis. Findings indicated that relative advantage, compatibility, management support, organizational competency, training and education, perceived ease of use, perceived usefulness, …

Analysis Of The Impact Of Vaccinations On Pandemic Metrics In The New York Metropolitan Area, Oredola A. Soluade, Heechang Shin, Robert Richardson

Journal of International Technology and Information Management

This study evaluates the relationship between pandemic cases and vaccination usage, ICU bed utilization, hospitalizations, and deaths in the New York City metropolitan area. The study includes variables for the lockdown period and confirmed infections. The evaluation addresses three periods: (1) before vaccinations, (2) after vaccinations, and (3) the lockdown period. In addition, the number of vaccines per day for the manufacturers (Pfizer, Moderna, and Johnson & Johnson) are included in the study. Comparisons with New Jersey and Connecticut are used to validate that New York statistics are consistent with other states. The results provide a general model of the …