Business Intelligence Commons^™

A Machine-Learning Tool-Supported Methodology For Nonprofit Donor Analysis, Corbin Weiss

Campus Research Month

We developed a machine-learning tool-supported methodology for modeling the nonprofit donor relationship. This approach was demonstrated in the case of a US-based nonprofit. Conclusions were drawn from this example and tool-support provided for use by other nonprofits.

21st Century Monetary Policy: The Federal Reserve From The Great Inflation To Covid-19, Greg Arburn

The Journal of Economics and Politics

No abstract provided.

Sustainable Leadership In Family-Owned Businesses: The Practice Of Searching Profitability And Evaluating The Business’ Effects On The Environment, Ahmad Mansour, Hind Al-Ahmed, Ahmad Shajrawi, Khaled Alshaketheep, Muhammad Alshurideh, Arafat Deeb

An-Najah University Journal for Research - B (Humanities)

Objective: This research studies family business sustainability leadership adoption obstacles especially regarding their dual need to achieve both profitability and environmental impact targets while examining potential solutions to these problems. Methodology: A research methodology included literary analysis and field studies along with questionnaire distribution for obtaining qualitative and quantitative data. The research survey gathered information about how family businesses handle sustainability measures that focus specifically on their energy consumption as well as energy efficiency and water management plans. Results/Findings: The analysis revealed renewable energy adoption by 80% of the businesses along with energy efficiency implementation in 75% of the …

Does Ai Help Or Harm? Why And How Ai Use Influences Workplace Outcomes And Employee Well-Being, Haille Trimboli, Reka Lassu

Education Division Scholarship

Although the recent surge in excitement surrounding artificial intelligence (AI) might suggest it is a new development, AI has been applied in organizations for over forty years (Fanti et al., 2022; Markelius et al., 2024). Indeed, the term "artificial intelligence" itself emerged in the 1950s during a research project at Dartmouth College, where it was used to describe "machines able to simulate human intelligence" (Haenlein & Kaplan, 2019, p. 3). Most recently, in 2022, the landscape of AI use for laypeople greatly changed when OpenAI introduced ChatGPT, a generative AI tool, to the public; ChatGPT is an advanced AI language …

Ai, Blockchain, And Autonomous Innovation : Charting The Future Of Intelligent Enterprises, Shubham Gupta

Harrisburg University Other Works

In today’s digital economy, artificial intelligence (AI) and blockchain are twin forces driving transformative change. AI and blockchain each rose to prominence on their own, but together they hold the promise of revolutionizing how businesses operate and create value. AI systems can analyze massive datasets, automate complex decisions, and even mimic human learning and reasoning. Blockchain technology, on the other hand, enables secure and tamper-proof transactions by distributing records across a network, ensuring transparency and trust without relying on a central authority. The convergence of these technologies is ushering in new possibilities for automation, smarter decision-making, and secure digital transactions …

The Cost Foundation Of Airline Market Offerings: A System Component Analysis, Bernice Osei, Steve Lemay, Dave Mcmahon

AMTP Proceedings 2025

This paper examines how airlines' core system components—infrastructure, equipment, people, and technology—create distinct cost structures that drive market offerings, pricing strategies, and revenue streams across different airline classifications. We analyze how full-service network carriers (FSNCs), low-cost carriers (LCCs), and ultra-low-cost carriers (ULCCs) leverage their cost foundations to develop competitive market positions. The paper ties airline market offerings to consumer psychology.

Perceptions Of Artificial Intelligence In Healthcare: A Qualitative Study Among Physicians And Nurses In Florida, Aaron Miri

MUSC Theses and Dissertations

This investigation will leverage participant focus group interviews with 32 clinicians (16 nurses / 16 physicians) to study what, if anything, is inhibiting AI adoption across the hospital. Specific physicians will be sourced across the key service lines of primary care, oncology, cardiology, behavioral health, and emergency department medicine, as these tend to be patient volume driven and thus have the maximum amount of potential for positive impact leveraging AI. Nurses in these same departments will be assessed to analyze if there is a similarity or difference between the nursing and physician AI adoption barriers.

Development Of A Personal Health Recommendation System Based On Data And Machine Learning To Improve User Wellbeing, Eliyah Acantha Manapa Sampetoding, Andi Alisha Faiqihah, Yulita Sirinti Pongtambing

Jurnal Administrasi Bisnis Terapan

The development of personal health recommendation systems has become a significant focus of research, along with the increasing need to improve user well-being. This research critically examines options in data and data mining and Machine Learning to support the establishment of systems to recommend better and improved healthcare services. Drawing on the results of a systematic review of past literature, the study shows that the application of Machine Learning algorithms in disease opinion learning, health condition classification, and demographics is emerging as a prospect for driving clinical decisions. Various models, from Deep Learning to traditional machine learning models such as …

Employee Engagement In Corporate Sustainability Initiatives: An Empirical Comparison Of Conventional And Modern Working Environment Practices, Ahmad Mansour, Hind Al-Ahmed, Ahmad Shajrawi, Khaled Alshaketheep, Muhammad Alshurideh, Arafat Deeb

An-Najah University Journal for Research - B (Humanities)

Objective: The study targets the investigation of Employee Engagement differences across Traditional and New work forms in Corporate Social Initiatives together with workplace practices that boost Sustainable Project Engagement. Methodology: The authors used a mixed-methods design approach in their research. A survey with 300 sustainable project personnel either working full-time or part-time collected quantitative data for analysis. Thirty semi-structured interviews comprised both employee and managerial personnel to collect qualitative data. The evaluation of workplace practices like flexibility and autonomy and communication & leadership on employee engagement was conducted through regression analysis. Researchers employed thematic analysis on interview data for the …

The Media Report: Media & Entertainment Data In America 2019 To 2025, Nelson Granados, Amy Zwagerman, Dejuan Oliver

Graziadio Working Paper Series

No abstract provided.

A New Measure Of Non-Parametric Correlation For Variables In The Likert Scale, Shubhabrata Das

Working Papers

We propose a new measure of nonparametric correlation that is especially suited for measuring association between variables measured in the Likert scale where data is ordinal and tied observations are extremely common. The proposed general structure of the measure is based on graded level of concordance and discordance between the pairs of metrics. The general form of the measure has all the desirable properties except the measure is not necessarily zero for independent variables. This limitation is acceptable given only ordinal nature of the metrics. Three versions of the measure are studied. The first is based on simple equi-distant weights. …

A Bibliometric Analysis Of The Pygmalion Effect In Organization Studies, Perihan Senel Tekin, Fevziye Bekar, Duysal Askun Celik

Journal of Global Business Insights

This research aims to examine the literature on the Pygmalion effect, which is expressed as a self-fulfilling prophecy in the context of management organization from a bibliometric perspective. In this context, all relevant publications in the Web of Science database were scanned between 01-06.06.2024. In the first and second searches with the words Pygmalion, Pygmalion effect, Pygmalionism, management, and organization, a total of 27 research articles were subjected to content analysis within the scope of a systematic review. As a result of the content analysis, it was seen that although the Pygmalion effect has been found in …

Manage External And Internal Threats To Commercial Spaces, Alan Saquella

Publications

Securing commercial buildings is a multifaceted challenge that demands a comprehensive and proactive approach. From office complexes and retail hubs to industrial facilities and healthcare institutions, these spaces serve as critical pillars of commerce, administration, and service delivery. Protecting them requires a blend of physical safeguards, advanced technologies and well-defined operational protocols.

Chief Executive Officers, Accountability And Hidden Violations, Alan Saquella

Publications

Corporate governance demands transparency, ethical leadership and accountability from Chief Executive Officers (CEOs). However, numerous cases suggest that CEOs often wield significant influence over what is reported to their boards of directors, particularly when it comes to internal misconduct, regulatory violations, and criminal activity. This lack of transparency raises serious concerns about ethical and legal obligations, as well as the effectiveness of board oversight.

De-Dollarization And South Asia: Challenges And Opportunities For Nepal In A Multipolar Currency World, Keshav Bhattarai, Ambika P. Adhikari

Himalayan Research Papers Archive

The United States dollar’s dominance as the global reserve currency, established under the 1944 Bretton Woods system, persists despite the 1971 decoupling of the gold backing to the dollar. Its liquidity, stability, and full support by the US government confer a solid financial security and advantage to the currency, including a universal acceptance of the dollar and a relatively low borrowing cost. Because of these reasons, the US dollar has been able to dominate the global financial markets for the past eight decades. However, the rapidly emerging global political and economic power shifts are challenging the status of the US …

Exploring Generative Artificial Intelligence (Ai) Applications In Fashion: Ethical Concerns In Human-Like Technology, Melissa Kathryn Gonzalez

Faculty Scholarship and Creative Works

No abstract provided.

Insider Risks And The Evolving Role Of Executive Protection Professionals In Cybersecurity, Alan Saquella

Publications

Insider risks have long been a critical concern in corporate security, traditionally encompassing threats from employees, contractors, or third-party vendors with access to sensitive information. However, as digital transformation accelerates, the convergence of physical and cyber threats has created new vulnerabilities. Executive protection (EP) professionals, historically tasked with safeguarding high-profile individuals from physical threats, now find themselves on the frontlines of combating cyber-criminal attacks. Expanding their skill sets to include cybersecurity awareness is no longer optional—it is a necessity.

This article explores insider risks, the growing need for executive protection professionals to adapt, and practical ways they can enhance their …

Robust Conic Satisficing, Arjun Ramachandra, Napat Rujeerapaiboon, Melvyn Sim

Working Papers

In practical optimization problems, we typically model uncertainty as a random variable though its true probability distribution is unobservable to the decision maker. Historical data provides some information of this distribution that we can use to approximately quantify the risk of an evaluation function that depends on both our decision and the uncertainty. This empirical optimization approach is vulnerable to the issues of overfitting, which could be overcome by several data-driven robust optimization techniques. To tackle overfitting, Long et al. (2022) propose a robust satisficing model, which is specified by a performance target and a penalty function that measures the …

A Critical Challenge: Understanding And Addressing Insider Threats, Alan Saquella

Publications

In today’s hyper-connected world, insider threats have become one of the most pressing challenges for organizations. While external attacks like ransomware and hacking often dominate the headlines, insider threats posed by employees, contractors, or others with internal access are equally, if not more, dangerous. Whether arising from malice, negligence or coercion, insiders have unparalleled access to sensitive systems and data, making their actions potentially catastrophic. The critical insider security issues organizations face and the actionable strategies for mitigation are actions that organizations must take.

Predicting Hazardous Near-Earth Objects Using Machine Learning For Planetary Defense, John Costa (Student), Lily Popova Zhuhadar (Mentor)

Posters-at-the-Capitol

Predicting Hazardous Near-Earth Objects Using Machine Learning for Planetary Defense

This research develops a machine learning model to classify Near-Earth Objects (NEOs) as hazardous or non-hazardous based on their physical and orbital characteristics, leveraging NASA's dataset of certified NEOs. NEOs, including asteroids and comets, often pass within close proximity to Earth, and while most pose no threat, some have the potential for catastrophic impacts. By using predictive models such as decision trees and random forests, this study aims to prioritize resources for monitoring and mitigation of high-risk objects. The model incorporates key features like velocity, diameter, and proximity to Earth …