Business Commons^™

Is The Declining Birthrate Really An Issue For The Economy?, Harsh Ramesh Pednekar, Theodore Lee, Darrion Chin

Introduction to Research Methods RSCH 202

This study aims to explore the complex implications of declining birth rates on the economy, focusing on GDP per capita as a crucial metric, and aims to uncover both potential opportunities and challenges stemming from this demographic transformation using regression analysis. Using a quantitative methodology and secondary data from OECD.stat, World Population Review, and World Bank, the study explores the relationship between declining birth rates and economic impacts. GDP per capita serves as an essential dependent variable, and it accounts for control variables such as labour force participation, literacy, and education levels, child dependence ratio, and physical capital. Past studies …

Halloween 2023: It’S A Barbie World!, Jin-A Choi, Yi Luo, Bond Benton

School of Communication and Media Scholarship and Creative Works

Encapsulated in pink, Barbie epitomizes a dreamland that stimulates feelings of nostalgia, joy, and imagination, fulfilling individuals’ desire to escape. Mattel, the parent company of Barbie, and Warner Bros. through 100 or more brand collaborations (del Barco, 2023), has relentlessly swept the world with a blitz of Barbie-themed merchandises, such as Barbie dreamhouse rentals, Barbie gaming consoles, Barbie pasta, Barbie pink suitcases, Barbie apparels, bright fuchsia Xbox, Barbie boat cruise, pink burger, etc. Staggering surge for online sales of Barbie-themed products affirms the impressive upswing of online consumers’ interest in Barbie.

With the significance of Halloween, the popularity of Barbie, …

Comment Letter On Sec’S Proposed Rule On Conflicts Of Interest Associated With The Use Of Predictive Data Analytics By Broker-Dealers And Investment Advisers, File Number S7-12-23, Sergio Alberto Gramitto Ricci, Christina M. Sautter

Faculty Works

This comment letter responds to the Securities and Exchange Commission’s proposed rule Release Nos. 34-97990; IA-6353; File Number S7-12-23 - Conflicts of Interest Associated with the Use of Predictive Data Analytics by Broker-Dealers and Investment Advisers. Our comments draw on our scholarship relating to laypersons’ participation in securities markets and the corporate sector as well as on the role of technology in corporate governance.

We express concerns that the SEC’s proposed regulation undermines individuals’ ability to access capital markets in an efficient and cost-effective manner. In the era of excessive concentration of equities ownership and power, often with negative societal …

Smart Growth Strategies: Mountain West Metros, Issac Hernandez-Alcaraz, Caitlin J. Saladino, William E. Brown Jr.

Economic Development & Workforce

This fact sheet examines data on smart growth strategies provided by the Brookings Institution’s Smart Growth Tool and includes data on the economic and industry overview of Metropolitan Statistical Areas (MSAs) in five Mountain West states (Arizona, Colorado, Nevada, New Mexico, and Utah). The Smart Growth Tool identifies high-impact economic and workforce development strategies that may help states and MSAs achieve inclusive and sustainable growth.

An Illustration Of Using Adaptive Data Mining To Develop Strategic Knowledge Bases For Student Retention, Pi-Sheng Deng, Abhijit Chaudhury

Information Systems and Analytics Department Faculty Journal Articles

Technological development has engaged educational institutions in fierce global competition. To be competitive in meeting the changing needs of today’s student population, educational institutions find it imperative to prioritize student retention efforts and to develop strategies that interact with students to effectively provide additional value and service. In this study we developed a two-module system: a decision tree for predicting a student’s decision to stay until graduation and an affinity analysis algorithm for identifying the relationship between student attributes and student decisions. We followed a three-phase-six-stage adaptive data mining cycle in developing a knowledge base for student retention strategies. The …

Low-Cost Pm2.5 Sensors Can Help Identify Driving Factors Of Poor Air Quality And Benefit Communities, Tim Keyes, Rea Domingo, Samantha Dynowski, Royal Graves, Martha Klein, Melissa Leonard, John Pilgrim, Alison Sanchirico, Kate Trinkaus

WCBT Faculty Publications

Air quality is critical for public health. Residents rely chiefly on government agencies such as the Environmental Protection Agency (EPA) in the United States to establish standards for the measurement of harmful contaminants including ozone, sulfur dioxide, carbon monoxide, volatile organic chemicals (VOCs), and fine particulate matter at or below 2.5 μm. According to the California Air Resources Board [1], “short-term PM2.5 exposure (up to 24-h duration) has been associated with premature mortality, increased hospital admissions for heart or lung causes, acute and chronic bronchitis, asthma attacks, emergency room visits, respiratory symptoms, and restricted activity days”. While public agency resources …

Generating Variance Analysis Models Based On Responsibility Centers, Craig M. Sorochuk

Department of Computing and Decision Sciences Faculty Publications

No abstract provided.

Revitalizing The Healthcare Market: An Analysis Of Hospital Pricing Transparency Compliance, Ellie Bruggeman

Business and Economics Summer Fellows

The healthcare industry is one of the most praised industries in the US due to its lifesaving capabilities and immersive care. Consumers regularly report that are satisfied with the care they receive from their physicians. Conversely, they also report frustrations and confusions associated with the costs of such care. In extreme cases, this frustration can turn to financial ruin as medical debt is the leading cause of bankruptcy in the US. The healthcare industry does not operate in congruence with other markets, largely due to the presence of insurance and other third-party payers. The undisclosed interactions between third party payers …

Evidence-Based Managerial Decision-Making With Machine Learning: The Case Of Bayesian Inference In Aviation Incidents, Aaron Glassman, Burak Cankaya, Kazim Topuz, Dursun Delen

Publications

Understanding the factors behind aviation incidents is essential, not only because of the lethality of the accidents but also the incidents’ direct and indirect economic impact. Even minor incidents trigger significant economic damage and create disruptions to aviation operations. It is crucial to investigate these incidents to understand the underlying reasons and hence, reduce the risk associated with physical and financial safety in a precarious industry like aviation. The findings may provide decision-makers with a causally accurate means of investigating the topic while untangling the difficulties concerning the statistical associations and causal effects. This research aims to identify the significant …

Marriott International: A Managerial Strategic Audit, Brooke Eschenbrenner, Alex Zlatic, Madison Bechtel, Brandon Collins, Charlotte Straley, Grant Gubbels

Honors Theses

A strategic management audit of the public firm, Marriott International, was conducted to identify various factors and managerial strategies that affect Marriott and the global hotels and tourism industry. At the industry level, we conducted a PESTEL and Five Forces analysis, researched the competitive landscape, and assessed the total value potential. We found that the industry experienced a major decline during the COVID-19 pandemic but saw recovery as international travel opened up again. On the company level, we conducted an internal analysis, identified Marriott’s management structure, and identified the firm’s structure and strategies through a SWOT analysis and other relevant …

Estimating The Economic And Health Benefits Of Bicycling In Northwest Arkansas, Mervin Jebaraj

Publications and Presentations

Over the past year, the Center for Business and Economic Research in the Sam M. Walton College of Business at the University of Arkansas conducted an analysis of the economic and health benefits of bicycling in Northwest Arkansas. The study was commissioned by the Walton Family Foundation and built on a previous study completed in 2018. The data and analysis presented in this study will inform regional and state policymakers, funders, and other community stakeholders about the overall return-on-investment from the significant investments in the bicycling ecosystem in Northwest Arkansas.

Kate Spade Strategic Analysis, Cydne Munson

Honors Theses

Kate Spade is an American luxury handbag and accessory company. The company is best known for its fun yet timeless and functional designs and has been a highly regarded and recognized brand since its inception nearly thirty years ago. This report explores the history of the Kate Spade brand and its resources that contribute to competitive advantages in the industry. A Porter’s Five Forces analysis and a PESTEL analysis are used to examine Kate Spade’s external environment and the luxury handbag industry as a whole. Finally, potential future threats and strategies to counteract them are examined.

Tesla Energy Division Strategic Audit, Kaleb Strawhecker

Honors Theses

Tesla’s electric vehicle manufacturing operation is the major revenue source for the company. Tesla has established itself as a significant player amongst other automotive manufacturers, specifically in the electric vehicle sector. Many trends are favoring Tesla’s expansion. This audit takes a look at trends and changes through a PESTEL analysis along with Porter’s Five Forces. Both provide an in-depth look into what the environment around Tesla is like. Then, these are used to evaluate Tesla’s major strategies, competitive advantages, and resources it has at its disposal. Finally, the audit will address how the factors allow Tesla to take advantage of …

Just Following Up: My Experience As A Summer Student Administrator For Osler, Hoskin & Harcourt Llp, Bridget Leslie

SASAH 4th Year Capstone and Other Projects: Publications

In this paper, I reflect on my experience as a Summer Student Administrator for Osler, Hoskin & Harcourt LLP where I acquired skills such as proficiency in various software and data analysis as well as professional communication, confidence, and organization. I applied these skills daily to produce quality work, and I am still applying these skills to my academic and personal life almost a year later. The culminating experience of the summer was presenting my own data analysis to a group of executives, which helped me improve my presentation skills and foster confidence in my own abilities. In addition to …

Times Are Changing: The Case Of Movado Group, Phuong Anh Nguyen, Wenting Pan

School of Economics and Business Administration Faculty Works

No abstract provided.

Student Satisfaction With Learning Experience And Its Impact On Likelihood Recommending University: Net Promoter Score Approach, Musa Pinar, Coleen Wilder, Matthew Luth, Tulay Girard

Association of Marketing Theory and Practice Proceedings 2023

Universities, just like any business, realized the importance and relevance of student satisfaction as well as getting recommended by their students for their long-term success, survival, and growth. This study intends to examine university students’ satisfaction with various aspects of their college learning experience, recommending a university as measured by Net Promoter Score (NPS), and the influence of factors related to student satisfaction on the likelihood of recommending the university. The results of the survey based on 220 responses from current students identify students’ satisfaction with the factors included in the study, where students had the highest satisfaction with feeling …

How Observed Customer Mistreatment Of Supervisors Affects Employees’ Service Sabotage: A Cross-Cultural Examination From The Deontic Justice Theory, Wen Jiang, Cass Shum, Hyounae (Kelly) Min, Ye Ding

Hospitality Faculty Research

Research on customer mistreatment has focused on victims’ perspectives with scant research on third-party observers’ reactions, especially their reactions to customer mistreatment of supervisors. Drawing on the deontic justice theory, this research investigates how and when customer mistreatment of supervisors impacts frontline employees. Using a mixed-method of three studies (experiment, time-lagged survey, field survey) from two countries (the U.S. and China), this research demonstrates the spillover effects of customer mistreatment of supervisors on employee’s service sabotage via moral anger. Study 1 showed that hospitality employees’ moral anger mediated the relationship between customer mistreatment of their supervisors on employees’ service sabotage. …

Technology Within Cultures: Segmenting The Wired Consumers In Canada, France, And The Usa, Maria Petrescu, Aidin Namin, Marie-Odile Richard

Publications

This paper uses a state-of-the-art quantitative modeling approach to latent class analysis to analyze American, Canadian, and French consumers’ perception of technology-based products and their cultural values. It identifies hidden segments of consumers based on technology adoption propensity, cosmopolitan characteristics, and identification with the global consumer culture. The study emphasizes the diversity and variability between and among countries regarding localism, globalism, cosmopolitanism, and the global consumer culture. The framework provides a new way to evaluate modern consumers and reflects the combination of national/regional cultural characteristics and global culture elements while highlighting the relevance of modern technologies and communication methods in …

Learning-By-Doing In Non-Homogeneous Tasks: An Empirical Study Of Content Creator Performance On A Music Streaming Platform, Yang Li, Yanni Ping, Yuyun Zhong, Ram Misra

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

With the development of high-speed internet and better mobile connections, online streaming platforms with user-generated videos are becoming popular. The success of these platforms relies on content creators who can effectively enhance user engagement (e.g., subscribing to a content creator’s channel). As opposed to homogeneous production scenarios (e.g., assembling automobiles in a factory), creating user-generated videos is a more complex task in which learning might happen. In this study, we empirically test the effect of prior experience on content creators’ performance. Furthermore, we examine the role of specialization in learning. We use a dataset from NetEase Cloud Music, one of …

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 …

Integrating Big Data Analytics With U.S. Sec Financial Statement Datasets And The Critical Examination Of The Altman Z’-Score Model, Shiva Krishna Sadula

Masters

The main aim of this thesis is to document the process of developing Big Data analytical applications and their integration with financial statement datasets. These datasets are publicly available on the U.S. SEC (Security and Exchange Commission) website which contains the annual and quarterly reports of approximately 8000 companies. Through its Electronic Data Gathering, Analysis and Retrieval (EDGAR) system, the SEC receives several terabytes of data in the mandatory filings from its registrants. This vast amount of data can potentially provide a valuable resource for those parties (such as investors, analysts, regulators and researchers) who are interested in assessing the …

An Integrated Framework On Human-In-The-Loop Risk Analytics, Peng Liu

Research Collection Lee Kong Chian School Of Business

Risk analytics is an integral component in the overall assessment of the risk profile for potential and existing obligors. For example, credit worthiness is often assessed via the use of scorecards, which are regulatory credit risk models developed based on historical data and domain expertise in banks and financial institutions. A pure statistical model, however, often fails to entertain regulatory requirements on both predictiveness and interpretability at the same time. Instead, practical risk models are developed by incorporating expert opinions within the development process, such as forcing the direction of travel for certain financial factors. In this article, the author …

Thinking Local With Original Data In Ai And Machine Learning Research, David G. Taylor, Robert Mccloud

WCBT Working Papers

Sacred Heart University spent significant funds to establish an AI lab. Initially there is no ongoing research and no real plan for a research agenda. This paper details how the Jack Welch College of Business and Technology created and implemented an active meaningful research plan. It involves two key elements: thinking local and using business connections to foster active, impactful research. Surrounding communities, business connections, area environment, and other Sacred Heart University departments all played a part. The research plan also identifies a specific issue in working with local and business contact sources: the AI researcher almost never gets data …