Business Intelligence Commons^™

Mechanism Design For Optimizing On-Chain Sell Order In Market Without Market Maker, Nico Pei

CMC Senior Theses

The absence of market makers alters the microstructure of the market. It’s difficult to get exposed to time-weighted prices in markets without market makers. In this paper, we delve into three mechanism designs – discrete gradual dutch auction, continuous gradual dutch auction, and variable rate gradual dutch auction – to study how to execute time-weighted sell orders on blockchain in a market without market makers. To make it simpler for readers to understand, we imagine an example of helping a close friend of Picasso to sell his 100 Picasso paintings in the next 10 years since 1970, with the private …

The Impact Of Social Media On Charitable Giving For Nonprofit Organization, Namchul Shin

Journal of International Technology and Information Management

Research has extensively studied nonprofit organizations’ use of social media for communications and interactions with supporters. However, there has been limited research examining the impact of social media on charitable giving. This research attempts to address the gap by empirically examining the relationship between the use of social media and charitable giving for nonprofit organizations. We employ a data set of the Nonprofit Times’ top 100 nonprofits ranked by total revenue for the empirical analysis. As measures for social media traction, i.e., how extensively nonprofits draw supporters on their social media sites, we use Facebook Likes, Twitter Followers, and Instagram …

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 …

Does Personality Traits And Security Habits Influence Security Of Personal Identification Numbers? The Context Of Mobile Money Services In Tanzania., Daniel Ntabagi Koloseni

Journal of International Technology and Information Management

Security is an important ingredient in financial transactions; as such, it is imperative that attention should be paid to enhancing the security habits and user behaviours of mobile payment services. Establishing a link between security habits, personality characteristics, and security behaviours provides a new dimension to studying security behaviours regarding mobile money services. Therefore, this study investigates how personality traits affect security behaviours and habits and how security habits mediate the link between personality traits and PIN security practices. The study found that conscientiousness, openness to experience, extroversion and security habits influence PIN security practices, while conscientiousness, agreeableness, and neuroticism …

Activities Tailoring Within Agile Scrum Roles: A Case Of Nigerian Healthcare Information Systems Development, Yazidu Salihu, Julian Bass, Gloria Iyawa

Journal of International Technology and Information Management

Developing quality agile healthcare information systems requires understanding regulatory compliance and evolving healthcare needs through activities tailored within agile scrum roles. Agile scrum, a widely adopted philosophy, offers significant advantages in managing software development processes. This research explores how activities within the agile scrum roles are tailored to agile healthcare information systems development within the Nigerian context. This study adopted a qualitative case study methodology and interviewed 12 agile practitioners developing healthcare information systems within Nigeria using semi-structured open-ended interview guide questions. The practitioners were selected based on a snowballing process, a sunset of purposive sampling techniques from our network …

What Can We Learn From A Co-Creation Journey For A Quick Scan Digital Transformation Maturity Assessment Tool For Development Ngos?, Anand Sheombar

Journal of International Technology and Information Management

This paper describes the approach and lessons learned from a co-creation process with Dutch development NGOs to create a practical and easy-to-use assessment tool for practitioners to assess the organisation's maturity level of digital transformation. For this study, we applied a design science research methodology, specifically a six-step co-creation approach suitable for developing maturity models. The digital maturity assessment tool (quick scan) created is a domain- specific digital transformation maturity tool for development NGOs rather than a generally applicable tool. This artefact was evaluated using an eight-point Requirements framework for the development of digital maturity assessment tools. By developing a …

Enhancing Marketing Education Through Gamification: Learners’ Characteristics And Motivation In Gamification Strategies, Jagannath Kharel

Theses and Dissertations

The study investigates how the personality traits of marketing students influence their engagement with gamification elements and the resulting learning outcomes. Additionally, it explores how gamification, guided by Self-Determination Theory, enhances these outcomes, and motivates university marketing students. One hundred eleven respondents participated, testing eight hypotheses: seven examined the Big Five traits' influence on attitudes and engagement. At the same time, the final used the self-determination framework to analyze motivation in gamification. Respondents with openness and extraversion favored using gamified learning materials, with no gender differences observed. The study found that gamified learning elements, such as rewards, feedback, levels, challenges, …

Artificial Intelligence In Stock Analysis And Portfolio Building, Sean M. Lynch

Honors Theses and Capstones

The emergence of artificial intelligence (AI) investment analysts, often referred to as “robo-advisors”, has the potential to change traditional portfolio management. These systems access vast amounts of data and make portfolio management decisions and stock market predictions. In this study, I compared AI-generated portfolios with portfolios that were created manually. Surprisingly, the human-generated portfolios outperformed the AI portfolios. However, the prompt used in the AI application affects these results. The subset of AI portfolios that were created with specific objectives specified in the prompts outperformed those that were created with more generic prompts. Overall, this research sheds light on the …

College Sports As A Business: How Name, Image, & Likeness Deals Have Altered The Way Colleges Operate, Jake Alexander Macinnis

Honors Theses and Capstones

The introduction of NIL (Name, Image, and Likeness) rights for student-athletes by the NCAA has significantly altered college athletics, enabling athletes to profit from their personal brands. In this thesis, it examines the multifaceted impacts of thesis changes on student athletes, universities, and the broader collegiate sports ecosystem. Some of the key areas explored include the rise of NIL collectives, the influence of lucrative TV deals on conference realignment, and modifications to the transfer portal. The research highlights the lack of transparency in collective payments, raising concerns about regulation amongst colleges and universities on all levels. This complicates recruitment as …

Is A Ban On Non-Competes Supported By Empirical Evidence?, Sarah Oh Lam, Thomas Lenard, Scott Wallsten

Fordham Journal of Corporate & Financial Law

The U.S. Federal Trade Commission (FTC) has proposed a rule to declare virtually all non-compete agreements unfair methods of competition under Section 5 of the FTC Act and therefore, illegal. However, the empirical literature on non-compete agreements cited by the FTC in its Notice for Proposed Rulemaking (“NPRM”) shows mixed results on earnings, job creation, firm formation, entrepreneurship, training, investment, and firm value. Evidence in other current studies also does not support an economy-wide ban. The FTC concludes that the proposed rule would yield net benefits even though by its own admission it lacks the information necessary to conduct a …

Outsourcing Voting To Ai: Can Chatgpt Advise Index Funds On Proxy Voting Decisions?, Chen Wang

Fordham Journal of Corporate & Financial Law

Released in November 2022, Chat Generative Pre-training Transformer (“ChatGPT”), has risen rapidly to prominence, and its versatile capabilities have already been shown in a variety of fields. Due to ChatGPT’s advanced features, such as extensive pre-training on diverse data, strong generalization ability, fine-tuning capabilities, and improved reasoning, the use of AI in the legal industry could experience a significant transformation. Since small passive funds with low-cost business models generally lack the financial resources to make informed proxy voting decisions that align with their shareholders’ interests, this Article considers the use of ChatGPT to assist small investment funds, particularly small passive …

Loophole Entrepreneurship, Brian M. Sirman

Fordham Journal of Corporate & Financial Law

All entrepreneurs seek favorable legal or regulatory treatment for their businesses. Sometimes this leads an entrepreneur to build a business within a gap in the law—a loophole. In so doing, these “loophole entrepreneurs” may avoid steep regulatory compliance costs that otherwise would beset (or perhaps prohibit) their businesses, thereby gaining advantages over competitors. Despite these benefits, loophole entrepreneurship is fraught with risks. Loopholes, by nature, are fragile, and their contours are often uncertain. Moreover, the stigma of “exploiting a loophole” (which connotes unfairness or deception) can provoke ill will among competitors, policymakers, and the public.

The ranks of loophole entrepreneurs …

Enhancing Retail Security: Combatting Insider Theft, Alan Saquella

Publications

In the dynamic and ever-changing landscape of the retail sector, the imperative task of thwarting theft has undergone substantial transformations. A cause for heightened concern arises from the significant uptick in employee involvement. This article delves deep into the intricate tactics employed by employees to pilfer from their employers, shedding light on effective mitigation strategies. A special emphasis is placed on the pivotal role of pre-employment screening and the inventive application of behavioral assessment software to fortify security measures.

A Critical Librarianship Approach For Teaching Patent Searching: Who Becomes An Inventor In America?, Dave Zwicky, Ilana Stonebraker

Libraries Faculty and Staff Scholarship and Research

The ways in which a technology is invented, owned, and approved are strongly influenced by the same oppressive and exclusionary structures that critical librarianship interrogates. Patents, limited-term grants of rights to inventions, are issued to inventors in exchange for detailed specifications of the invention. This paper examines current practices used by business librarians in teaching students how to find patents and how these practices could be critically informed given the nature of the United States patent system as it exists today. An output of this work is a suggested lesson plan with recommended resources.

A Holistic Approach To Leadership Development And Self-Efficacy For Frontline Managers, Alberta Green

Dissertations

According to Clifton and Harter (2019), managers determine an organization’s success. Specifically, managers determine 70% of worker engagement. Researchers (Bandura, 1997; Dwyer, 2019) have associated self-efficacy with leadership strengths. As such, frontline managers (FLMs) need holistic leadership development (HLD) training in the four leadership domains—analytic, conceptual, emotional, and spiritual—to improve their competencies and bolster their self-efficacy (Clifton & Harter, 2019; Ward, 2018). Integrative leadership development models that prioritize organizational resources through holistic leadership development offer a modern approach to addressing FLMs’ leadership skill development and self-efficacy (Guidi et al., 2018). According to Bandura (1997), self-efficacy is how individuals evaluate their …

United Express Strategic Audit, Ryan Hakim

Honors Program: Senior Projects (Public)

United Express is the regional brand of United Airlines, a worldwide airline from the United States. United Express provides excellent domestic and international service from smaller airports to United Airlines hubs. With a volatile and solid industry of vast competition and operational styles, this report seeks to give an industry analysis of the regional airline industry with relation to United Express’ position. It surveys the industry using a PESTLE analysis along with Michael E. Porter’s Five Competitive Forces Model. United Express has many resources and competitive advantages which headline the advantages it boasts to be a regional airline industry leader. …

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 …

Airbnb Valuation: A Machine Learning Approach, Katherine Wyatt

Graduate Theses and Dissertations

This thesis uses a geospatially-enhanced, machine learning approach to investigate variations in rental success on the peer-to-peer property sharing website Airbnb.com. Geographic factors, listing attributes and amenities, customer response metrics, and host attributes are included in decision tree modeling to predict the short-term probability of receiving a review. The most important variables in increasing model accuracy are assessed and variations in the importance of these variables investigated using Shapley values.

The Technology, Organization, And Environment Framework For Social Media Analytics In Government: The Cases Of South Africa And Germany, Brenda M. Scholtz, Khulekani Yakobi

The African Journal of Information Systems

This paper investigates factors influencing the adoption of social media analytics (SMA) for citizen relationship management (CzRM). Three real-world cases of government departments, two in South Africa and one in Germany, were investigated, and focus group discussions were conducted. The technological, organizational, and environmental (TOE) theory and qualitative content analysis guided the data analysis. The findings revealed that in all cases, staff usually conducted a manual analysis of social media and SMA had not been implemented sufficiently to realize its full potential. Insights were obtained from TOE and factors were identified that should be considered for improving the planning of …