Business Analytics Commons^™

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 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 …

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 …

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 …

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 …

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 …

Wearable Technology For Depression Assessment: A Scoping Review Of Datasets, Ml Tlachac, Hayley K. Elsbree, Michael V. Heinz

Information Systems and Analytics Department Faculty Journal Articles

As wearable technology continues to develop, wearable devices are becoming more common and being increasingly used to collect datasets for depression assessment. Documenting the collection procedures, recruitment strategies, and demographics of these datasets is important to allow for synthesis across the datasets and uncover common limitations. As such, in this scoping review, we identify 80 observational datasets collected by wearable devices through the start of 2025 that can be used for depression assessment. Of the 80 datasets, 50% used an actigraph and 47.5% used other wristbands. These wearable devices were used to collect activity, sleep, and heart rate for 87.5%, …

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.

Does Green Pay Less? Global Corporate Bond Evidence On Primary And Secondary Yields, Youssef El Kenawy

Theses and Dissertations

The greenium, or green premium, refers to the lower yield that arises from a bond’s green label, conditional on otherwise identical contractual features and credit risk. In our study, we estimate the greenium by combining causal matching techniques with a neural network–based propensity score approach to construct a closely comparable set of green and conventional bonds. Our empirical framework incorporates issuer fixed effects and currency × issuance-year fixed effects, ensuring that our estimates reflect the impact of the green label itself rather than differences in macro-financial conditions or issuer composition.

Our findings indicate that, once currency-specific issuance-year conditions are absorbed, …

The Role Of Project Managers And Pmp Principles In Improving Operational Efficiency In Healthcare Organizations, Karan Thakkar

Harrisburg University Dissertations and Theses

Healthcare organizations operate in increasingly complex, regulated, and resource-constrained environments while managing a growing volume of projects tied to digital transformation, process improvement, regulatory compliance, and infrastructure development. Despite the project-intensive nature of healthcare operations, many organizations do not formally employ trained project managers or consistently apply Project Management Professional (PMP) principles; project responsibilities are frequently absorbed by clinical or administrative leaders whose primary expertise lies outside formal project management. This qualitative study examined how the project manager role and PMP principles contribute to operational efficiency in healthcare organizations. The study was conducted as a qualitative document analysis and thematic …

Controversy Associated With Red-Light Traffic Cameras, Alan D. Smith, Anna Abdulmanova

Atlantic Marketing Association Proceedings

No abstract provided.

Holistic Strategies For Optimizing Municipal It Operations And Cost Efficiency, Joseph Yazdanpanahi

Certified Public Manager® Applied Research

Municipalities work to deliver secure and impactful IT (information technology) services while often working within tight budget constraints. To address this problem, this article offers an experience-based and comprehensive framework to optimize municipal IT operations. It emphasizes leveraging automation, streamlining hardware and software management, and forging strategic partnerships to drive cost savings and efficiency gains. Designed to equip municipal IT leaders with practical tools and insights, this article aims to help modernize IT processes.

Decoding Stock Market Movements: The Role Of Unemployment And Volatility, Bipllab Roy, Suparna Bhattacharjee

Northeast Journal of Complex Systems (NEJCS)

This study investigates how unemployment and market volatility interact with stock prices in the Indian context, framing the stock–labour–volatility nexus as a complex adaptive system (CAS) rather than a set of linear, time-invariant relationships. Using verified secondary data on unemployment, India VIX, and NSE stock indices for 2013–2023, we first apply simple and multiple regression as a descriptive baseline. Results show a strong negative association between unemployment and stock prices (R ≈ 0.824, R² ≈ 0.68, p < 0.05), consistent with Keynesian demand-side channels, while the linear VIX–stock relationship is weak and statistically insignificant (R² ≈ 0.07, p > 0.05), consistent with the expectation that volatility operates through non-linear, regime-dependent mechanisms not captured by OLS.

Importantly, we document and transparently disclose critical …

Investment Decision Making, Muhammad Yaseen, Di Wu

Open Educational Resources

A newly established commercial bank, founded in 2021, has accumulated excess capital reserves. The bank is evaluating long-term investment options to deploy this capital in a way that balances growth and risk. The investment committee is considering two primary strategies: investing in a diversified technology-focused ETF, QQQ, or investing directly in selected individual technology stocks.

The bank's senior management wants capital growth, but it also needs to manage risk exposure. A bank cannot treat an investment decision only as a search for the highest return. It must also consider volatility, concentration risk, liquidity, downside periods, and whether the strategy fits …

German Energy Crisis, Liomar Jimenez, Malachy Mclaughlin, Muhdee Nawab, Mouhamed Sarr, Di Wu

Open Educational Resources

For most of the twentieth century, nuclear energy was the quiet backbone of Germany's electricity system. At its peak in 1997, nuclear power supplied over 31 percent of all electricity generated in the country. It was a reliable, low-cost source that kept German industries competitive across Europe. The country's industrial base, including automakers, chemical producers, and heavy manufacturers, depended on affordable, stable power. Nuclear delivered exactly that.

The political climate changed in the late 1990s. After years of advocacy based on concerns about nuclear waste and reactor safety, the Green Party joined the Social Democrats to form the Red-Green Coalition …

Credit Card Analysis, Di Wu

Open Educational Resources

A credit card business unit at a bank is facing a retention problem. More customers are leaving the bank's credit card services, and the retention manager wants to identify which customers are most likely to churn so the bank can intervene before the account is lost.

The bank has customer demographic, relationship, and transaction data for more than 10,000 credit card customers. The data includes age, gender, education, income category, card category, months on book, customer inactivity, contact frequency, credit limit, revolving balance, transaction amount, transaction count, and whether the customer attrited.

You are a business analyst on the bank's …

Smartphone Usage, Charles Howard, Josiah Nkele, Berner Hernandez, Di Wu

Open Educational Resources

A major smartphone company is studying how smartphone usage affects users' stress, productivity, and sleep habits. As part of the product development team, you have been assigned to analyze user behavior data to help create digital wellness features that improve the overall user experience.

The company has collected behavior data from over 50,000 users to better understand how smartphone habits may influence focus, stress, and performance. By exploring this data, the team hopes to discover patterns that can guide healthier digital usage and create a better balance between daily life and technology use.

Senior product managers are considering several possible …

Airbnb Studies, Fatoumata Diabate, Maria Estevez, Jaliah Fabre, Di Wu

Open Educational Resources

In the high-stakes world of short-term rentals, Homeland Sellers serves as an advisory firm for property buyers navigating the global Airbnb market. Historically, investors in the sector have often been led by intuition and gut feeling. That is a dangerous strategy in an increasingly regulated environment. To protect capital, Homeland Sellers is transitioning to a more rigorous, data-driven investment model.

Aspiring hosts face a minefield of financial and legal hurdles. Ignoring local HOA restrictions, fluctuating property tax structures, or strict licensing requirements can create serious risk for net operating income. Beyond regulatory compliance, investors must also account for guest appeal …