Business Analytics Commons^™

Justifying The Cost Of Implementing Contactless Travel In Non-Primary Airports: A European Perspective, Sumeet Hassan Anwar Mr., Humna Asad Miss

International Journal of Aviation, Aeronautics, and Aerospace

In the wake of the COVID-19 pandemic, the aviation industry faces an unprecedented push towards digital transformation. This paper delves into the economic, operational, and safety imperatives of implementing contactless travel solutions in Europe's non-primary airports. By juxtaposing the substantial upfront costs against the long-term operational savings and improved passenger experience, the study presents a compelling financial justification for such investments. Drawing on case studies and current trends, the research demonstrates that, despite initial expenditures, the adoption of contactless technology is a prudent strategy that aligns with evolving consumer preferences and the heightened need for efficiency and safety. The paper …

Tracking Social Media Conversations On Extreme Weather Discussion: A Longitudinal Analysis, James Chen, Suhong Li

Information Systems and Analytics Department Faculty Journal Articles

With the increasing number of extreme weather events and various disasters, people are paying more attention to environmental issues than ever, particularly global warming. Public debate on it has grown on various platforms, including newspapers and social media. This study examines emotions of the general public on global warming in the context of extreme weather events, how emotions differ by location and the change of emotion on those topics over the time. Topic modeling is used to reveal dominant topics for each type of extreme weather. The results show that discussions on Twitter predominantly focus on floods and drought/heatwaves. There …

Artificial Intelligence In Stock Analysis And Portfolio Building, Sean M. Lynch

Honors Theses and Capstones

The emergence of artificial intelligence (AI) investment analysts, often referred to as “robo-advisors”, has the potential to change traditional portfolio management. These systems access vast amounts of data and make portfolio management decisions and stock market predictions. In this study, I compared AI-generated portfolios with portfolios that were created manually. Surprisingly, the human-generated portfolios outperformed the AI portfolios. However, the prompt used in the AI application affects these results. The subset of AI portfolios that were created with specific objectives specified in the prompts outperformed those that were created with more generic prompts. Overall, this research sheds light on the …

The Future Of Building: The Potential Impacts Of 3d Printing Within The Construction Industry, Alyssa Morrison

Honors Theses and Capstones

This research investigates the expanding practice of 3D printing in construction, focusing on its potential impacts and challenges it will face within the industry. Emphasizing both its sustainability and cost-saving benefits, this paper examines how 3D printing could potentially revolutionize traditional building methods. The ability to decrease greenhouse gas emissions, address the global housing shortage, and reduce material waste are addressed. Through interviews with industry professionals, as well as a thorough literature review, the research explores the factors driving interest and investment in 3D printing technology. Additionally, it analyzes common misconceptions regarding 3D printed structures and pinpoints areas for further …

From Technical Resolution To Agile Evolution: A Blended Role At Humane Interface Design Enterprise (Hide), Ketansingh Anil Patil

Dissertations, Master's Theses and Master's Reports

This report provides a comprehensive overview of my journey through two distinct roles at the Humane Interface Design Enterprise (HIDE) - as a Technical Consultant in Spring 2023 and an Agile Process Analyst in Fall 2023. My tenure as a Technical Consultant was marked by the application of academic knowledge and technical skills to tackle real-world challenges at HIDE, leveraging experiences from my capstone projects and my roles in the industry as an IT Analyst Intern at Milwaukee Tool and a Data Engineer at UST. This role at HIDE enhanced my problem-solving skills and contributed to the progress of the …

University Student Worker Productivity: A Qualitative Analysis, Amanda S. Mansfield

Murray State Theses and Dissertations

Student worker productivity is an important aspect of higher education, since many functional units rely on student employees to operate. Student workers communicate with all stakeholders of universities, including incoming and current students and their families, alumni, faculty, staff, and community members. Universities facing issues related to budgeting, enrollment, retention, and employability of their graduates can combat those issues by strengthening the largest labor pool on campus, student workers. The study explored what it means to be a productive university student worker within the framework of Social Exchange Theory and Grounded Theory. The study sought to provide recommendations to universities …

Trust In E-Commerce And Its Impact On Digital Marketing Strategies, Akshay Tailor

Theses and Dissertations

Background: The rise of e-commerce has transformed consumer behavior, with trust playing a critical role in determining the success of online platforms. Prior research suggests that privacy and security concerns, as well as transparency and social proof, significantly affect consumer trust in e-commerce. This study aimed to investigate how strong security measures, privacy safeguards, and social media marketing initiatives influence consumer trust and purchasing decisions in e-commerce environments.

Methods: A survey was conducted with 232 students from Illinois State University, focusing on key factors such as privacy protection, security, transparency, and social proof. The survey used a Likert scale to …

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 …

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 …

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.

Investing In The Future: A Holistic Examination Of Personal And Behavioral Influences On Cryptocurrency Investment, With A Focus On Social Influence And Crypto Expert Guidance, Zainab Safdar, Bushra F. Malik, Huma Ayub, Abida Ellahi

Accounting, Business Analytics, Economics, and Finance Department Faculty Articles

The research aimed to investigate the influence of personal and behavioral factors on cryptocurrency investment, with the introduction of social influence and crypto expert recommendations as moderators to augment the impact of these factors. Utilizing the snowball sampling technique, a survey was conducted with a sample of 349 cryptocurrency investors in Pakistan. The study employed Smart PLS 3.3M3 for moderated mediation analysis of the survey data. Results indicate that personal and behavioral factors significantly and positively impact cryptocurrency investment. Profit expectation serves as a positive mediator in the relationship between personal and behavioral factors and cryptocurrency investment. Additionally, social influence …

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 …

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 …

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 …

Experience Levels Forcing A Change In Aviation Planning, Jason A. Powell, Elizabeth Crockett

Journal of Aviation/Aerospace Education & Research

This theoretical article evaluates the changing dynamics caused by high turnover in aviation and how the lower level of experience impacts aeronautical companies' organizational planning and partnerships. The aviation organization must adapt managerial practices and alter training capability and procedures to ensure appropriate skill levels. Without proper planning, the company will have an imbalance of skills and accept more risk to operations. The aviation organization may be unable to adapt current scheduling practices to properly prepare the aircrew for challenging situations or sufficiently train maintenance personnel. The result is a need to leverage strategic partnerships, alter management practices toward personnel …

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, …