Business Analytics Commons^™

Problems And Risks Within The Agriculture Of Stann Creek, Ethan Bailey

Supply Chain Management Undergraduate Honors Theses

Agriculture is a significant part of the economy of Stann Creek, Belize and faces many challenges. This research presents data from farms in the areas surrounding Dangriga regarding the problems that they have been experiencing and potential risks they may face. The research covers family/individual farms, an agriculture cooperative, commercial farms, agritourism businesses, and Mennonite communities. This research was conducted as part of an internship with the Ministry of Agriculture (MOA) of Belize alongside extension officers of the Stann Creek branch of the MOA.

The data from the internship found that agriculture in Stann Creek dealt with problems regarding availability …

Neo Banking Adoption Among Banking Customers: An Empirical Study Using Pls-Sem, Sree Bhoojitha V, Vishnucharan N S

Journal of Global Management Research

The rapid advancement of financial technology has fundamentally transformed the banking landscape, giving rise to neo banks — fully digital banking platforms operating without physical branches. Despite the growing significance of neo banking in India, customer awareness and adoption remain evolving areas requiring systematic investigation. This study, titled "Study on Neo Banking Adoption by Banking Customers," examines customer awareness, usage patterns, satisfaction levels, and the key factors influencing adoption intention of neo banking services. Grounded in the Technology Acceptance Model (TAM), the study incorporates Perceived Usefulness, Perceived Ease of Use, and Trust as independent variables influencing Neo Banking Adoption Intention. …

Integrating Circular Economy Principles Into Sustainable Supply Chain Management- A Comparative Study Of Agriculture, Healthcare, And Asset Management, Blessy Milca I, Purushothaman R, Mariofanna Milanova

Journal of Global Management Research

Sustainable supply chain management (SSCM) is a vital strategy for reducing environmental impact while improving efficiency. This study examines the integration of circular economy principles into SSCM across agriculture, healthcare, and asset management. Using a comparative approach, it identifies sector-specific challenges and best practices in resource utilization, waste minimization, and closed-loop logistics. Circular strategies—such as resource recovery, product life extension, and sustainable redesign—are explored as pathways to ecological balance and long-term viability. The role of digital technologies is emphasized: IoT enables data-driven decision-making through sensor networks and real-time monitoring, while blockchain provides transparency, traceability, and secure transactions, strengthening trust in …

Financial Viability Of Electric Vehicle Manufacturing Ventures In India: A Mixed-Method Assessment Of Profitability, Liquidity, Capital Structure, Funding And Policy Support, Prabhakar Raju Rudra Raju

Journal of Global Management Research

India's electric-vehicle (EV) transition is creating a rapidly expanding manufacturing opportunity while simultaneously exposing young and scaling firms to unusually high capital requirements, uncertain cash flows, technology risk and policy dependence. This study examines the financial viability of selected Indian EV manufacturing ventures by integrating financial performance evidence with funding, operational and policy perspectives. The analysis covers five firms representing electric two-wheelers, buses and commercial three-wheelers: Ather Energy, Ola Electric, Olectra Greentech, Altigreen and Euler Motors. The study follows the mixed-methods design documented in the underlying project, combining financial-ratio and trend analysis with stakeholder discussions, industry evidence and policy-document analysis. …

Theories, Elements, And Value Creation In Higher Education Under Nep 2020: A Systematic Literature Review Through The Lens Of Educational Technology, Leema Christina J., Alamelu R., Hariharan M., Samar Muti Dr

Journal of Global Management Research

In order to transform Indian higher education system, the National Education Policy (NEP) 2020 gives an innovative approach, which is with a great aim of making Indian education system into a global level. NEP 2020 will bring a major change in educational sector by adopting technology which will make the education as more adaptable and flexible in nature to meet out the needs of the learners. This paper discusses about the learning theories and organizational theories, which are highly relevant to education and taken key identification from the theories. Key elements were discussed in this paper by correlating theories’ key …

Harnessing Artificial Intelligence For Real-Time Innovation In Upstream Oil And Gas: A Data-Driven Framework For Early Detection Of Lost Circulation Incidents, Gnana Allan Whinney Gnanapragasam

Journal of Global Management Research

Artificial intelligence (AI) and machine learning are reshaping upstream oil and gas operations, yet their value depends less on algorithmic sophistication than on converting heterogeneous sensor streams into timely operational decisions. This study develops and evaluates an AI-enabled framework for early detection of lost circulation incidents (LCIs) during drilling, positioning this safety-critical use case within the broader innovation architecture of upstream operations. Uncontrolled drilling-fluid losses generate non-productive time, well-control risk, and substantial cost. The empirical component uses historical surface drilling data from approximately 200 wells that experienced severe or total losses, recorded at an average frequency of 0.2 Hz (one …

Ai-Driven Predictive Analysis Of Airline Profitability Under Macroeconomic And Sustainable Aviation Fuels, Shivika Singh

Discovery Day - Daytona Beach

This study presents an AI-enhanced predictive model to assess airline profitability under the combined influence of macroeconomic trends and the adoption of sustainable aviation fuel (SAF). By including economic indicators such as GDP growth, inflation rates, and fuel price volatility with airline operational data, including ticket prices and fuel costs, the model simulates profitability across multiple carriers. Scenario-based analyses, encompassing optimistic, moderate, and pessimistic projections, illustrate different financial sensitivities between low-cost and legacy airlines.

Predicting Passenger Demand On National Flights Departing From Hartsfield-Jackson Atlanta International Airport (Atl) In 2024, Brooklyn Gossett, Ana Yu Wen

Discovery Day - Daytona Beach

The aviation industry relies heavily on accurate demand forecasting to guide critical decisions regarding route planning, capacity management, and pricing strategy. Misjudging passenger demand can result in significant revenue loss and operational inefficiency, making it essential for airlines and analysts to identify the key drivers of flight patronage. This study investigates the factors that most significantly predict the number of passengers on domestic flights departing from Hartsfield-Jackson Atlanta International Airport (ATL) during the 2024 calendar year. Using passenger and route data sourced from the Bureau of Transportation Statistics (BTS) and the U.S. Department of Transportation (DOT), a multiple regression analysis …

Assessing And Addressing Financial Risk In Capitated Primary Care Contracts, Michael R. Wieck Dba, Laurence Smith, Steven R. Stout Dba

Engaged Management ReView

We employ multivariate statistical modeling and Monte Carlo simulation to study systematic and unsystematic financial risk faced by physician groups under capitated contracts with Medicare Advantage Organizations (MAOs). We use mixed methods and a standard reimbursement formula for risk-sharing contracts with primary care physicians (PCPs). We find that diversifying risk simply by increasing the size of a practice is insufficient to mitigate risks of large negative cash flows from capitation contracts and can result in financial failure. However, if use of costly medical services by patients is reduced from levels typically experienced under traditional Medicare to the levels of patients …

A Machine Learning And Artificial Intelligence Sentiment Analysis Of Esg Disclosures, John Barnett Davis

Graduate Theses and Dissertations (2019 - present)

This dissertation examines whether environmental, social, and governance (ESG) disclosure sentiment extracted from SEC Form 10-K Item 1A risk disclosures aligns with Bloomberg ESG scores. The study combines SEC textual disclosures, Bloomberg ESG ratings, firm financial data, executive compensation data, and executive gender characteristics. Natural language processing and artificial intelligence methods, including FinBERT, Loughran-McDonald sentiment measures, BART-MNLI zero-shot classification, LLaMA-based ESG scoring, and readability analysis, are used to evaluate ESG-related disclosure signals. Results reveal that SEC 10-K Item 1A risk-factor sentiment and Bloomberg ESG scores represent related but distinct constructs. ESG sentiment in Item 1A is poorly aligned with third-party …

Gig Workers' Identity Construction In Pakistan's Platform Economy, Zubair Ahmed Pirzada, Shoukat Ali Mahar, Muhammad Haneef Gambhir

Business Review

The rapid expansion of Pakistan’s platform economy has introduced digitally mediated labor arrangements that fundamentally restructure occupational identities and the meanings workers attach to their work. Based on constructivist grounded theory, this study delves into the process of gig workers' self-negotiated and self-built occupational identities in the gig economy in the city of Karachi in Pakistan. Through in-depth interviews with 43 platform workers in Karachi (25 ride-sharing drivers and 18 food delivery riders), the analysis produced the Adaptive Identity Construction Framework, theorizing identity construction as a simultaneous process across temporal, algorithmic, and sociocultural dimensions. Four types of identity were formed: …

Who Pays Dividend? Statistical Explanation And Machine Learning Prediction: Evidence From Pakistan, Zohaib Aziz, Javed Iqbal

The Indonesian Capital Market Review

This study explains and predicts the firm’s dividend payment decision using an unbalanced panel dataset of non-financial firms listed on the Pakistan Stock Exchange covering the period 2009-2020. Several traditional statistical models and modern machine learning algorithms are applied to examine the firm-specific and macroeconomic determinants of dividend decision. Logistic regression and dynamic panel probit models indicate that lagged dividend, firm efficiency and firm size positively influence the firm’s dividend decision whereas leverage and sales growth show negative effects. Lagged dividend is found to be the most influential variable in explaining and predicting the dividend decision while the role of …

How Does An Advanced Educator Utilize Digital Language Teaching And Learning By Integrating Linguistic, Cultural, And Business Life Perspectives?, Hely Westerholm, Pirjo Takanen-Körperich, Ph.D.

International Journal for Business Education

This paper explores advanced educators’ digital working capabilities in online language teaching, with a particular focus on sharing Finnish language and culture in a foreign context. Cultural and linguistic knowledge play a significant role in enhancing students’ motivation to study foreign languages. In today’s educational environment, digitalisation and globalisation exert an increasing influence on foreign language teaching and learning.

The digital learning environment has brought about a paradigm shift in foreign language didactics. Digital language learning is both challenging and holistic in nature. Continued foreign language learning is simultaneously an individual and a social process, as digital learning cultures impose …

How Grades Changed Before, During And After Covid-19 In A Business College, Douglas R. Moodie, Alison Keefe, Robin Cheramie

International Journal for Business Education

Purpose: This study examines how undergraduate business student grades changed before, during, and after the COVID-19 pandemic using a large institutional dataset from a business college in a US university between 2015 and 2024.

Method: The analysis includes over 390,000 student-course observations and incorporates instructional modality, student demographics, course characteristics, and prior academic performance.

Results: Results show a substantial increase in mean course grades during the COVID-19 period, followed by a partial reversion post-pandemic to levels that remain above pre-pandemic trends. These patterns are consistent across modalities, demographics, and departments.

Implications: The findings raise important questions regarding the interpretation of …

The Anatomy Of Earnings Conference Calls: An Integrative Framework For Management Research, Matthew P. Mount, Gokhan Ertug, Wei Shi, Tengjian Zou

Research Collection Lee Kong Chian School Of Business

Over the last decade, there has been an explosion in the use of diverse data sources by management scholars to observe and capture managerial and organizational constructs that have historically been difficult to access. This surge has been driven by the growing availability of rich, multi-modal data—textual, image, and audio (Luo, Jia, Ouyang, & Fang, 2024)—together with advances in analytical techniques to process and analyze data, such as computer-aided text analysis (Harrison, Thurgood, Boivie, & Pfarrer, 2019), machine learning (Choudhury, Wang, Carlson, & Khanna, 2019; Harrison, Josefy, Kalm, & Krause, 2023), and deep learning (Gouvard, Goldberg, & Srivastava, 2023). These …

What We Know About Accounting Ratios: Methodological Considerations, Wojciech Kuryłek, Oskar Kowalewski

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Purpose: This paper provides a comprehensive literature review of the methodological aspects of financial ratio analysis, consolidating dispersed knowledge on the computation, statistical properties, and appropriate usage of accounting ratios.

Design/Methodology/Approach: The study adopts a narrative literature review methodology, systematically surveying published research on financial ratio distributions, normality testing, data transformations, outlier handling, the proportionality assumption, dimensionality reduction techniques, compositional data analysis, and recommended ratio sets for corporate financial research.

Findings: Financial ratios predominantly deviate from normal distributions, exhibiting skewness, excess kurtosis, and sensitivity to outliers. Transformation techniques such as logarithmic, square root, and Box‑Cox methods yield mixed results in …

Competitividad Empresarial. Factores Y Variables Para Su Gestión En El Sector Turístico., Wilson Ricardo Pinillos Castillo, Odair Triana Calderón, Benjamín Andrés Manjarrés Zárate, Milena Santiago Escobar, Diego Hernán Valbuena Montoya

Ciencias Administrativas, Económicas y Contables

Competitividad empresarial. Factores y variables para su gestión en el sector turístico es un texto derivado de la investigación Análisis de los factores que inciden en la competitividad de las Mipymes del sector turístico de la provincia del Gualivá. En el libro se hace una descripción del mercado del turismo —abarcando la actividad económica y una recopilación del sector en Colombia—, en referencia a los factores que intervienen en la competitividad empresarial. Se plantea cómo funciona la gestión empresarial, cómo las organizaciones y las herramientas se utilizan en pro de la competitividad, se da a conocer la gestión del servicio …

Ai For Regression Analysis And More, Eli Snir

Generative AI Teaching Activities

Students use Copilot and NotebookLM to create a dataset and develop statistical analyses including regression.

Large Language Models As Qualitative Instruments: A Review Of Ai For Qualitative Research, Luis Miguel Dos Santos

The Qualitative Report

This review examines AI for Qualitative Research: A Hands-On Guide for Management Scholars (Quevedo & Kuri, 2026), an open-access Palgrave Pivot volume published by Palgrave Macmillan (Cham). The book examines the methodological inflection in management and social science research, particularly with the normalization of large language models (LLMs) in writing, teaching, and qualitative data analysis. Rather than treating AI as either a substitute for interpretation or a threat to interpretivism, the authors argue that LLMs are computational tools that can be employed and audited responsibly. This book review summarizes two important parts. Part One introduces AI, natural language processing …

Innovation Hubs In Mountain West Cities, 2025, Cason Noll, Sean Curry, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents data on 20 innovation-dense Mountain West cities across Arizona, Colorado, Nevada, New Mexico, and Utah. The CommercialCafe report, “Santa Clara, Berkeley & Tempe Lead Among Western Innovation Hubs,”  uses 15 indicators to rank 63 western cities for innovation hub activity across three categories: employment and talent, education, and business activity.