Technology and Innovation Commons^™

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 …

Buffering The Negative Impacts Of Age Diversity On Company Performance And Innovation: The Roles Of Knowledge Transfer And Environmental Uncertainty, Tiecheng Xu

Dissertations and Theses Collection (Open Access)

The VUCA (Volatility, Uncertainty, Complexity, Ambiguity) era has resulted in significant uncertainty in the global economy, while deglobalization in international politics and economics, and the interweaving of old and new contradictions, have presented substantial challenges to businesses. On the other hand, aging is a crucial issue that China and the world at large are currently facing. It is essential to study the relationship between employee age structure and enterprise performance.

Different researchers have provided empirical analyses of the effects of age diversity on organizational performance and innovation, but the conclusions are not consistent. According to the research in this paper, …

Education As A Solution To Combat Rising Cybercrime Rates Against Children And Teenagers, Christian Javier Solis-Diaz

Electronic Theses, Projects, and Dissertations

Ninety seven percent (97%) of people between the ages of 3 and 18 are found to be users of technology and internet services daily. This number also correlates with rising cyber crime rates against people in this age bracket. It is found that people between 3 and 18 years old are found to be technologically savvy but often lack the knowledge of how to protect themselves in online environments. Researchers have suggested that cybersecurity awareness training is an effective method at combating common forms of cyberattack such as social engineering. Social engineering attacks are found to make up 98% of …

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 …

The Digital Engine Model: Generating Leads Through The Application Of Dcm And Inbound Marketing, Kyle A. Huggins, John D. Hansen

Journal of Applied Marketing Theory

Digital Content Marketing (DCM) has become a primary tool for marketers in driving lead generation in today’s digital marketing world. Leading brands are creating and curating content trying to build brand equity and trust, connecting content to consumer action through brand story. And while strong theoretical models of content marketing have been discussed in the marketing literature, like Hollebeek and Macky (2019), there is a dearth of understanding about the application and direct impact of organic digital content strategies on marketing directives. This paper investigates an applied model, called The Digital Engine, which provides instruction on proper inbound marketing techniques …

Technical Maturity And Network Effects Of Xf Artificial Intelligence Open Platform, Tao Jiang

Dissertations and Theses Collection (Open Access)

Studying the impact mechanism of the commercial value of artificial intelligence open technology platforms has theoretical and practical significance. This article aims to enrich and expand the theoretical research on technology maturity, value co creation, and network effects on open technology platforms at home and abroad through empirical research on artificial intelligence open technology platforms and ecology. This study takes XF's open technology platform case as the research object, and based on technology maturity theory, value co creation, and network effects theory, examines the network effect value creation mechanism of open technology platforms driven by technology maturity in three development …

An Exploratory Content And Sentiment Analysis Of The Guardian Metaverse Articles Using Leximancer And Natural Language Processing, Sezai Tunca, Bulent Sezen, Violetta Wilk

Research outputs 2022 to 2026

The metaverse has become one of the most popular concepts of recent times. Companies and entrepreneurs are fiercely competing to invest and take part in this virtual world. Millions of people globally are anticipated to spend much of their time in the metaverse, regardless of their age, gender, ethnicity, or culture. There are few comprehensive studies on the positive/negative sentiment and effect of the newly identified, but not well defined, metaverse concept that is already fast evolving the digital landscape. Thereby, this study aimed to better understand the metaverse concept, by, firstly, identifying the positive and negative sentiment characteristics and, …

The Economics Of Financial Scams: Evidence From Initial Coin Offerings, Kenny Phua, Bo Sang, Chi Shen Wei, Gloria Yang Yu

Research Collection Lee Kong Chian School Of Business

We examine the economics of financial scams by analyzing the market for initial coin offerings (ICOs). Using data snapshots of 5,873 ICOs, we find that irregularities in ICO characteristics across listing websites predict higher scam risk and are likely intentional. These patterns are consistent with a model where malicious issuers maximize profits by using irregularities to screen for naïve investors. Almost half of the ICOs in our sample may be scams, amounting to more than U.S. $6 billion in losses. Our results draw attention to the frequent use of screening mechanisms in financial scams.

Class Participation: Using Technology To Enhance Efficiency And Fairness, Benjamin Gan, Eng Lieh Ouh

Research Collection School Of Computing and Information Systems

Class participation can be considered as contribution to discussion, attendance, presentations, unsolicited responses, questions, comments, etc. What counts may vary across individual teachers. The more students participate, the less memorization they do, and the more they engage in higher levels of thinking, including interpretation, analysis, and synthesis. However, only a handful of students in many classrooms participate regularly, a phenomenon dubbed as "consolidation of responsibility". This study provides a literature review of inclass participation, as well as pedagogies and technologies that enhance participation. Pedagogies such as active learning, group learning, project-based learning and flipped classroom. Technologies to automate attendance taking, …

Preparing Uk Students For The Workplace: The Acceptability Of A Gamified Cybersecurity Training, Oliver J. Mason, Siobhan Collman, Stella Kazamia, Ioana Boureanu

Journal of Cybersecurity Education, Research and Practice

This pilot study aims to assess the acceptability of Open University’s training platform called Gamified Intelligent Cyber Aptitude and Skills Training course (GICAST), as a means of improving cybersecurity knowledge, attitudes, and behaviours in undergraduate students using both quantitative and qualitative methods. A mixed-methods, pre-post experimental design was employed. 43 self-selected participants were recruited via an online register and posters at the university (excluding IT related courses). Participants completed the Human Aspects of Information Security Questionnaire (HAIS-Q) and Fear of Missing Out (FoMO) Scale. They then completed all games and quizzes in the GICAST course before repeating the HAIS-Q and …

Integrity, Confidentiality, And Equity: Using Inquiry-Based Labs To Help Students Understand Ai And Cybersecurity, Richard C. Alexander, Liran Ma, Ze-Li Dou, Zhipeng Cai, Yan Huang

Journal of Cybersecurity Education, Research and Practice

Recent advances in Artificial Intelligence (AI) have brought society closer to the long-held dream of creating machines to help with both common and complex tasks and functions. From recommending movies to detecting disease in its earliest stages, AI has become an aspect of daily life many people accept without scrutiny. Despite its functionality and promise, AI has inherent security risks that users should understand and programmers must be trained to address. The ICE (integrity, confidentiality, and equity) cybersecurity labs developed by a team of cybersecurity researchers addresses these vulnerabilities to AI models through a series of hands-on, inquiry-based labs. Through …

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 …

Technological Adoption And Changing World Of Work: Case Study Of Services Sector Workforce In Pakistan, Umer Khalid

CBER Conference

This study seeks to investigate the impact of technological adoption and the changing world of work on employment dynamics, job quality and wage structure in the context of a developing economy – Pakistan.

The Relationship Between Labor Market Institutions And Innovation In 177 European Regions Over The Period 2000-2015, Gaetano Perone

CBER Conference

The main goal of this paper was to investigate the relationship between a set of labor market institutions (LMIs) and innovation (proxied by patent density) in 174 NUT-1 and NUT-2 European regions, over the period 2000-2015. Fixed effects with Driscoll and Kraay's (1998) standard errors (FE-DK), ordinary least squares (OLS), the generalized method of moments estimation of the fixed effects (FE-GMM), and a multilevel model (MLM) were employed.

Building A Diverse Cybersecurity Workforce: A Study On Attracting Learners With Varied Educational Backgrounds, Mubashrah Saddiqa, Kristian Helmer Kjær Larsen1 Helmer Kjær Larsen, Robert Nedergaard Nielsen, Jens Myrup Pedersen

Journal of Cybersecurity Education, Research and Practice

Cybersecurity has traditionally been perceived as a highly technical field, centered around hacking, programming, and network defense. However, this article contends that the scope of cybersecurity must transcend its technical confines to embrace a more inclusive approach. By incorporating various concepts such as privacy, data sharing, and ethics, cybersecurity can foster diversity among audiences with varying educational backgrounds, thereby cultivating a richer and more resilient security landscape. A more diverse cybersecurity workforce can provide a broader range of perspectives, experiences, and skills to address the complex and ever-evolving threats of the digital age. The research focuses on enhancing cybersecurity education …

Novus Ex Machina: Realise Your Organisation’S Creative Potential With Ai, Adam Tatarynowicz, Utz Claassen

Asian Management Insights

Innovation managers must learn how to harness AI’s transformative potential.

Deploying Business Ecosystems To Cope With Ecological Transformation, Arnoud De Meyer

Research Collection Lee Kong Chian School Of Business

At a time when businesses must innovate quickly and in support of sustainability, "going it alone" is no longer the most effective or efficient model. Business ecosystems – networks of companies, researchers and other stakeholders each involved in a given value chain – offer an effective route to companies seeking not only to find new advantages, but to drive wider systemic change. When innovation takes place through ecosystems, often, the results are faster to diffuse through an industry or value chain. To address needs of the ecological transformation like the transition to clean fuels, this is exactly what is needed; …

Web 2 Vs. Web 3 Paths To The Metaverse: Who Is Leading? Who Should Lead?, Le Kuai, Mary Lacity, Jeffrey K. Mullins

Information Systems Faculty Publications and Presentations

Our research investigates two questions: Who is leading the metaverse? Who should lead? The questions are important because metaverse will have significant consequences for individuals, businesses, and society. We examined the current leaders of metaverse on two evolutionary paths, namely Web 2 and Web 3. Based on regulatory reports, corporate press releases, and patents, we found that only a handful of Web 2 companies are “all-in” on metaverse, and at least one of these enterprises, Meta, is on track to end up as a dominant platform provider. Based on market capitalization, user activity, and patents, only a handful of Web …

The Rise Of Multi-Homing In Asia's Ride-Hailing Industry, Hai Wang

Asian Management Insights

Getting it right secures environmental and economic wins for the present and future.

Determinants Of Business Organization’S Adoption Of Complex Innovative Product: A Case Of The Intelligent Iot System For Hog-Raising, Jingguan Cao

Dissertations and Theses Collection (Open Access)

With the development of science and technology, various opportunities emerged for the application of complex innovative products. However, not all business organizations are willing to adopt complex innovative products although these products can improve efficiency and reduce costs of the organizations, because there are bound to be various problems in the early application of new technologies. Hence, it is important to find the key influencing factors for the acceptance of complex innovative products by business organizations. The Internet of Things (IoT) is a typical complex innovative product, and this dissertation takes the intelligent IoT system for hog-raising as a case …