Business Analytics Commons^™

The Moment Of Beijing, Zhang Yue

MA Projects

After a complete COVID-19 lockdown of three years, most Chinese people crave opportunities to replenish their already waned and suffocated needs in the cultural and artistic realm (21st Century Economy, 2023). Seeking this invaluable time to enhance city influence and cultural image, major metropolises, especially Beijing, actively appeal to various exhibitions, shows, and cultural tourism resorts. The scope is almost unprecedented: cultural tourism, music, art, fine art, creative art, and traditional produce harmoniously integrate and captivate thousands of people. People’s need for art and culture is here, and Beijing is ready to make full strides. It is at this critical …

Una Aproximación A La Causalidad Entre El Consumo De Energía Renovable Y No Renovable, Frente Al Crecimiento Económico: Un Estudio En Países De América Latina Para El Periodo 1990 – 2020, Carlos Andres Gómez Sanguino, Arnaldo José Salgado Ruiz

Maestría en Analítica e Inteligencia de Negocios

Esta investigación analizó el nexo de causalidad entre el consumo de energía renovable, no renovable y el crecimiento económico en cinco países de Latinoamérica durante el periodo de 1990-2020. Con el objetivo de lograr este propósito, se llevaron a cabo una serie de pruebas. En primer lugar, se determinó la naturaleza del panel de datos mediante la prueba de Hausman, que permitió identificar si los efectos eran fijos o aleatorios. Los resultados indicaron que, para los datos analizados, el modelo de efectos fijos era el más apropiado. Una vez establecida la naturaleza del panel, se procedió a la validación de …

Regional Price Index 2023, Department Of Primary Industries And Regional Development, Western Australia

Statistics

The 2023 Regional Price Index (RPI) is the eleventh State Government Index contrasting the cost of a common basket of goods and services at a number of regional locations to the Perth metropolitan region. The RPI is used as the basis for the construction of the public sector district allowance, and by the private sector when considering remuneration packages for remotely located staff.

The RPI provides an insight into differences in regional consumer costs. The 2023 RPI basket of 185 goods and services was priced in 39 regional centres around Western Australia.

The 2023 RPI results show that, overall, prices …

Risk Management Practices In The Aviation Industry: Lessons Learned And Effective Tools… A Mixed Method Approach, Jim W. Marion Jr. Phd, Tracey M. Richardson, Valerie Denney, Carlos Chaves

International Journal of Aviation, Aeronautics, and Aerospace

This paper provides a data-driven approach to apply lessons learned from Project Risk Management in the aviation industry. This is accomplished by performing a qualitative analysis to inform a second-pass quantitative analysis using tools like surveys, word clods and analysis through NVivo and Singular Value Decomposition (SVD). The results of this analysis show that the most important lessons are elements of early identification, rigorous risk identification and analysis and a focus on reducing risks inherent within the aviation history. Furthermore, the analysis yielded the following top tools for risks management within their phases of the project life-cycle: document review, checklists …

An Examination Of The Relationship Between Cheating In Online Classes And Technostress: Perceptions Of Business Faculty, Stacy Boyer-Davis, Kevin Berry, Amy Cooper

International Journal for Business Education

This research study investigated the relationship between technostress creators (techno-complexity, techno-insecurity, techno-invasion, techno-overload, and techno-uncertainty) and faculty perceptions of student cheating in online classes. Data were collected from faculty members of the Management and Organizational Behavior Teaching Society (MOBTS), a member of the AACSB Business Education Alliance, the American Society of Business and Behavioral Sciences (ASBBS), an interdisciplinary professional organization comprised of faculty teaching in accounting, finance, management, marketing, organizational behavior, and computer information systems, and other research panels during 2021 (N = 94). Findings from regression analysis indicated that the techno-complexity subconstruct is positively related to a faculty’s perception …

The Clarity Of Business Models In Integrated Accounting Reports, Gabriel Donleavy

Jurnal Akuntansi dan Keuangan Indonesia

In this study, 664 students enrolled in accounting theory courses at both the undergraduate and postgraduate levels at the University of New England were tasked with the assignment of critically assessing the decision usefulness and understandability of 2 to 4 integrated accounting reports. A key aspect of their analysis involved a critical examination of how the accounting reports conveyed the business models employed by the respective companies. In the case of consolidated reports, students were expected to observe distinct business models for each segment of the group or identify a robust rationale if only one model was presented. A team …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

The Coming Transformative Impact Of Large Language Models And Artificial Intelligence On Global Business And Education, Eva K. Jermakowicz

Journal of Global Awareness

Rapid advances in the capabilities of Large Language Models (LLM) as a basis for Artificial Intelligence (AI) applications, and their sudden wide accessibility, have garnered significant attention recently. These technologies (e.g., ChatGPT, BARD), which have the ability to predict and generate human language, have led to excitement and concerns regarding their use in various industries. This paper explores the history of LLM, examines their applications in business and education, and delves into the critical ethical concerns and challenges of these emerging technologies to ensure that their uses are not only effective, but also responsible and equitable.

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 …

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 …

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 …

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 …

Data Analytics And Compliance With Aacsb Accounting Technology Standards: A Critically Appraised Topic, Gregory J. Tanzola

Engaged Management ReView

As technology accelerates and gains importance in the accounting industry, the inclusion of technology in accounting curricula also becomes more important. Indeed, this inclusion is a requirement of the academic accounting accrediting body, The American Association to Advance Collegiate Schools of Business (AACSB). However, neither minimal guidance nor standards for meeting the technology requirements currently exist. This topic paper examines how academic accounting departments may address data analytics as a component of the AACSB’s technology requirement. The analysis synthesizes peer-reviewed articles exploring how data analytics are being integrated into accounting curricula and identifies three main concerns: (1) the need for …

Analysis Of Us Airline Stocks Performance Using Latent Dirichlet Allocation (Lda), Amina Issoufou Anaroua

Beyond: Undergraduate Research Journal

Various events, such as changes in the interest rate or the hijacking of a commercial aircraft, can lead to significant shifts in airline stock performance. This study aimed to measure the impact of aviation-related news announcements on the stock performance of US airlines, focusing on different topics. The dataset included aviation news covering airlines, airports, regulations, safety, accidents, manufacturers, MRO, incidents, aviation training, general aviation, and others obtained from Aviation Voice. To uncover patterns that could explain the movements of US airline stocks, a natural language processing technique called Latent Dirichlet Allocation (LDA) was employed. The process involved text mining …

Manipulation In The Agricultural Commodities Futures Market: Application Of Benford's Law, Frank Tenkorang, Greg Nies

Mountain Plains Journal of Business and Technology

This paper proposes that Benford’s Law is an effective tool for determining futures market irregularities and therefore should be adopted and used in efforts to detect and prevent manipulation in the agriculture commodities futures market. Market manipulation, while hard to define and even harder to detect and prevent, has long been a concern for traders and regulators alike. Market power manipulation – the intentional use of monopolistic power to cause market prices to diverge from their competitive level – harms the market by eroding its efficiency and impairing market integrity thereby driving away potential traders and ultimately undermining financial markets, …

Depaul Digest

DePaul Magazine

College of Education Professor Jason Goulah fosters hope, happiness and global citizenship through DePaul’s Institute for Daisaku Ikeda Studies in Education. Associate Journalism Professor Jill Hopke shares how to talk about climate change. News briefs from DePaul’s 10 colleges and schools: Occupational Therapy Standardized Patient Program, Financial Planning Certificate program, Business Education in Technology and Analytics Hub, Racial Justice Initiative, Teacher Quality Partnership grant, Intimate Partner Violence and Brain Injury collaboration, School of Music Career Closet, Sports Photojournalism course, DePaul Migration Collaborative’s Solutions Lab, Inclusive Screenwriting courses. New appointments: School of Music Dean John Milbauer, College of Education Dean Jennifer …

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, …

The Dilemma Of Empty Halls, Joanna Lauer

Musical Offerings

Today, live classical concert attendance is low, a fact which threatens the careers of professional musicians. This paper examines recent statistics of classical concert attendance, theories as to why attendance rates are low, marketing methods for target audiences, and finally, recommendations to solve the dilemma of empty concert halls. To encourage concert attendance, classical music must be tastefully marketed to present-day audiences through the experience of technically excellent, musical, and interesting live performances. Ultimately, the relationship between art and its audience (the consumer) reveals that the key to the dilemma is the audience.

Harrisburg Workforce Study, Coumba Seck

Harrisburg University Research Symposium: Highlighting Research, Innovation, & Creativity

Harrisburg University proposes an exploratory case study to examine workforce participation and patterns in the downtown Harrisburg Area as part of its mission to support business creation and economic development. This research interest has resulted from uncertainty regarding the number of local employees returning to work in a face-to-face environment in the post-pandemic era compared to other metropolitan areas in the United States.

This preliminary research seeks to provide empirical evidence of the current and predictive state of workforce participation in Harrisburg for the purposes of informing urban planners, downtown business owners and other decision makers concerned with many aspects …

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 …