Business Intelligence Commons^™

Experts-Driven Design: A Framework For Measuring Social Influence In Online Social Networks, Shyamala N. Chalakudi, Dildar Hussain Dr., Gnana Bharathy Dr, Dakshinamurthy Kolluru Dr

Association of Marketing Theory and Practice Proceedings 2024

In our interconnected and ever-changing social landscape, influence is pivotal in molding individuals’ decisions, perspectives, and behaviors. Measuring Social Influence (SI) in Online Social Networks (OSNs) faces significant gaps, notably needing more integration with human behaviors. Our literature review has unveiled twelve psychological theories rooted in human behavior that are fundamental for assessing SI in OSNs. We have further elucidated how human behaviors interact in shaping the influence potential of social media users through exploratory interviews with experts from consulting, industry, and academia. Our study culminated in developing a novel framework designed to encompass the intricacies that not only nurture …

Ai-Assisted Stakeholder Management And Organizational Learning: Evidence From The U.S. Intelligent Service Community, Jiyoon An

Association of Marketing Theory and Practice Proceedings 2024

Artificial intelligence (AI) has changed business practices, including stakeholder management and organizational learning. Scant research attention has been dedicated to examining methodology to implement for workflow-aware and skillset-savvy, AI-assisted stakeholder management. This paper has conducted natural language processing (bigram) and network analysis to understand AI-assisted stakeholder management practices in the U.S. intelligent service community. Theoretical and managerial implications are discussed.

The Impact Of Social Media On Charitable Giving For Nonprofit Organization, Namchul Shin

Journal of International Technology and Information Management

Research has extensively studied nonprofit organizations’ use of social media for communications and interactions with supporters. However, there has been limited research examining the impact of social media on charitable giving. This research attempts to address the gap by empirically examining the relationship between the use of social media and charitable giving for nonprofit organizations. We employ a data set of the Nonprofit Times’ top 100 nonprofits ranked by total revenue for the empirical analysis. As measures for social media traction, i.e., how extensively nonprofits draw supporters on their social media sites, we use Facebook Likes, Twitter Followers, and Instagram …

Key Issues Of Predictive Analytics Implementation: A Sociotechnical Perspective, Leida Chen, Ravi Nath, Nevina Rocco

Journal of International Technology and Information Management

Developing an effective business analytics function within a company has become a crucial component to an organization’s competitive advantage today. Predictive analytics enables an organization to make proactive, data-driven decisions. While companies are increasing their investments in data and analytics technologies, little research effort has been devoted to understanding how to best convert analytics assets into positive business performance. This issue can be best studied from the socio-technical perspective to gain a holistic understanding of the key factors relevant to implementing predictive analytics. Based upon information from structured interviews with information technology and analytics executives of 11 organizations across the …

Outsourcing Voting To Ai: Can Chatgpt Advise Index Funds On Proxy Voting Decisions?, Chen Wang

Fordham Journal of Corporate & Financial Law

Released in November 2022, Chat Generative Pre-training Transformer (“ChatGPT”), has risen rapidly to prominence, and its versatile capabilities have already been shown in a variety of fields. Due to ChatGPT’s advanced features, such as extensive pre-training on diverse data, strong generalization ability, fine-tuning capabilities, and improved reasoning, the use of AI in the legal industry could experience a significant transformation. Since small passive funds with low-cost business models generally lack the financial resources to make informed proxy voting decisions that align with their shareholders’ interests, this Article considers the use of ChatGPT to assist small investment funds, particularly small passive …

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 …

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 …

Editor's Note, Havovi Joshi

Asian Management Insights

Charting directions and steadying the ship amidst the storms, waves and currents

Aclp - Comments To Ntia Re Digital Equity Act Grants Programs - May 2023, New York Law School

Reports and Resources

No abstract provided.

Discovering Data-Driven Solutions: A Practical Guide For Small Businesses Implementing Data Analytics, Katherine Richoux

Information Systems Undergraduate Honors Theses

In today’s highly competitive business environment, small businesses are under growing pressure to fight for market share. To do this, a competitive advantage must be established to outperform other business competitors both big and small. One way that small businesses can create a competitive advantage is by utilizing their data and applying basic data analytics. Data analytics is the process of collecting and analyzing large sets of raw data using statistical tests to identify patterns and insights to make conclusions that inform business decisions. The use of data analytics is not exclusive to large corporations and can be greatly beneficial …

Tourism, Mapping, Retail And Recreational Trails: A Case Study Of Connectivity Between Trails And Adjacent Downtowns In Anniston, Alabama, Usa, Jennifer Green

Theses

This study examines the estimated increase in economic impact on a geography’s local economy by creating cross-marketing efforts between expanding an established outdoor recreation trail to a closely located city downtown commerce district. This research will analyze the resulting potential rise in sales/lodging tax revenues for that city by mapping the trail and downtown district, and cross-marketing the other to users of both or either venue. Potential increase in economic impact will be estimated utilizing IMPLAN methodology by assessing the economic impact on the local economy that a percentage range of increased spending resulting from this cross-marketing effort could generate.

Analysis Of First-Time Completion In The Field Service Environment, Gavin Rick, Scott Englerth, Marc Carter, Hayley Horn

SMU Data Science Review

First-time completion is an important measure of service quality and efficiency in the field service industry. Customers call upon field service providers to repair their equipment in a timely manner so it can be put back into service for their business demands. Responsiveness can be measured through first-time completion and is defined as completing the repair on the first visit of a service call. This research is exploring the first-time completion in the forklift service industry. This research found the primary factors that impact first-time completion percentage in this industry include parts on hand, parts backorder process, technician experience, and …

U.S. Energy Information Administration Information Resources, Bert Chapman

Libraries Faculty and Staff Presentations

Provides information about the resources produced by U.S. Department of Energy's Energy Information Administration. These resources cover energy statistics for U.S., states, the United States, and foreign countries. They also cover energy products as varied as coal, natural gas, nuclear energy, petroleum, and renewable energy.

Revisiting Cybersecurity Awareness In The Midst Of Disruptions, Avideh Sadaghiani-Tabrizi

International Journal for Business Education

The awareness of cybersecurity and knowledge about risks from a variety of threats, which present harm or steal private information in internetworking could help in mitigation of vulnerabilities to risks of threats in safeguarding information from malware and bots. Revisiting cybersecurity awareness of every member and evaluation of organization’s posture might help to protect sensitive or private information from a network of computers, working together and forming into botnets. The purpose of the qualitative case study narrative was to explore prospects for integrating cybersecurity education into elementary school children’s curriculum through interviews of elementary schoolteachers, IT experts, and parents to …

Short-Term Prediction Of Icu Admission For Covid-19 Inpatients, Yoon Sang Lee, Riyaz T. Sikora

Journal of International Technology and Information Management

Since the COVID-19 outbreak, many hospitals suffered from a surge of some high-risk inpatients needing to be admitted to the ICU. In this study, we propose a method

predicting the likelihood of COVID-19 inpatients’ admission to the ICU within a time frame of 12 hours. Four steps, the Bayesian Ridge Regression-based missing value imputation, the synthesis of training samples by the combination of two rows (the first and another row) of each patient, customized oversampling, and XGBoost classifier, are used for the proposed method. In the experiment, the AUC-ROC and F-score of our method is compared with those of other …

Determinants Of Continuance Intention To Use Mobile Wallets Technology In The Post Pandemic Era: Moderating Role Of Perceived Trust, Shailja Tripathi

Journal of International Technology and Information Management

The Covid-19 pandemic amplified the volume and importance of mobile payments using digital wallets and placed a basis for their continued adoption. The objective of the study is to formulate and test a comprehensive model by integration of the technology acceptance model (TAM) and expectation confirmation model (ECM) with the addition of three constructs, namely perceived trust, perceived risk, and subjective norm, to identify the determinants of continuance intention to use mobile wallets. Questionnaire-based survey method was used to gather the data from 550 users having experience using mobile wallets for more than six months. The data were analyzed using …

Analysis Of The Impact Of Vaccinations On Pandemic Metrics In The New York Metropolitan Area, Oredola A. Soluade, Heechang Shin, Robert Richardson

Journal of International Technology and Information Management

This study evaluates the relationship between pandemic cases and vaccination usage, ICU bed utilization, hospitalizations, and deaths in the New York City metropolitan area. The study includes variables for the lockdown period and confirmed infections. The evaluation addresses three periods: (1) before vaccinations, (2) after vaccinations, and (3) the lockdown period. In addition, the number of vaccines per day for the manufacturers (Pfizer, Moderna, and Johnson & Johnson) are included in the study. Comparisons with New Jersey and Connecticut are used to validate that New York statistics are consistent with other states. The results provide a general model of the …

Acceptance Of Interoperable Electronic Health Record (Ehrs) Systems: A Tanzanian E-Health Perspective, Emmanuel Mbwambo, Herman Mandari

Journal of International Technology and Information Management

The study assessed factors that influence the acceptance of interoperable electronic Health Records (EHRs) Systems in Tanzania Public Hospitals. The study applied a hybrid model that combined the Technology Acceptance Model (TAM) and Technology-Organization-Environment (TOE). Snowball sampling technique was applied and a total of 340 questionnaires were distributed to selected clinics, polyclinics and hospitals, of which 261 (77%) received questionnaires were considered to be valid and reliable for subsequent data analysis. IBM SPSS software version 27.0 was employed for data analysis. Findings indicated that relative advantage, compatibility, management support, organizational competency, training and education, perceived ease of use, perceived usefulness, …

Learning Outcomes And Learner Satisfaction: The Mediating Roles Of Self-Regulated Learning And Dialogues, Sean Eom, Nicholas Jeremy Ashill

Journal of International Technology and Information Management

The interdependent learning process is regarded as a crucial part of e-learning success, but it has been largely ignored in e-learning empirical research. Grounded in constructivist and social constructivist theory, we present and test an e-learning success model consisting of eight e-learning critical success factors (CSF) derived from constructivist and social constructivist models. Three hundred seventy-two on-line students from a Midwestern university in the United States participated in the survey. The data collected from the survey was used to examine the partial least squares structural equation model. The results highlight the importance of self-regulated learning and dialogical processes to explain …

The Need For International Ai Activities Monitoring, Parviz Partow-Navid, Ludwig Slusky

Journal of International Technology and Information Management

This paper focuses primarily on the need to monitor the risks arising from the dual-use of Artificial Intelligence (AI). Dual-use AI technology capability makes it applicable for defense systems and consequently may pose significant security risks, both intentional and unintentional, with the national and international scope of effects. While domestic use of AI remains the prerogative of individual countries, the unregulated and nonmonitored use of AI with international implications presents a specific concern. An international organization tasked with monitoring potential threats of AI activities could help defuse AI-associated risks and promote global cooperation in developing and deploying AI technology. The …

Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun

Electronic Theses and Dissertations

Data science plays a crucial role in enabling organizations to optimize data-driven opportunities within financial risk management. It involves identifying, assessing, and mitigating risks, ultimately safeguarding investments, reducing uncertainty, ensuring regulatory compliance, enhancing decision-making, and fostering long-term sustainability. This thesis explores three facets of Data Science projects: enhancing customer understanding, fraud prevention, and predictive analysis, with the goal of improving existing tools and enabling more informed decision-making. The first project examined leveraged big data technologies, such as Hadoop and Spark, to enhance financial risk management by accurately predicting loan defaulters and their repayment likelihood. In the second project, we investigated …

A Study Of Heart Disease Diagnosis Using Machine Learning And Data Mining, Intisar Ahmed

Electronic Theses, Projects, and Dissertations

Heart disease is the leading cause of death for people around the world today. Diagnosis for various forms of heart disease can be detected with numerous medical tests, however, predicting heart disease without such tests is very difficult. Machine learning can help process medical big data and provide hidden knowledge which otherwise would not be possible with the naked eye. The aim of this project is to explore how machine learning algorithms can be used in predicting heart disease by building an optimized model. The research questions are; 1) What Machine learning algorithms are used in the diagnosis of heart …

Indonesian Accounting Students’ Self-Confidence To Adopt Artificial Intelligence (Ai), Gina Andani, Lindrianasari Lindrianasari, Reni Oktavia, Ratna Septiyanti

Jurnal Akuntansi dan Keuangan Indonesia

The development of artificial intelligence (AI) in accounting as the impact of industrial revolution 4.0 has raised various concerns regarding the future of accountants and the possibility that accountants will be replaced by AI. Businesses are continuously adopting AI globally and particularly in Indonesia, AI adoption raises concerns that accountants will be replaced with AI due to the lack of competence to work with AI. A descriptive study with a quantitative approach was conducted in January 2021 by distributing questionnaires that collected a convenience sample of 476 respondents from universities across Indonesia. The required criteria of respondents are the active …

Studying The Executive Perception Of Investment In Intelligent Systems And The Effect On Firm Performance, Noel Romesh Wijesinha

FIU Electronic Theses and Dissertations

This research was conducted to examine the relationship between investment in intelligent systems resources and capabilities (based on artificial intelligence and machine learning algorithms) and the effect on company performance. Despite existing research on the benefits of adopting intelligent systems, companies have been slow to adopt as there is lack of research on intelligent systems use cases that will increase firm performance. This research study used resource-based view (RBV) and dynamic capabilities (DCF) theory to investigate firms’ investment in intelligent systems resources that build intelligent systems capabilities and the association to organization performance dimensions, revenue and profits. To answer this …

The Significance Of Sonic Branding To Strategically Stimulate Consumer Behavior: Content Analysis Of Four Interviews From Jeanna Isham’S “Sound In Marketing” Podcast, Ina Beilina

Student Theses and Dissertations

Purpose:
Sonic branding is not just about composing jingles like McDonald’s “I’m Lovin’ It.” Sonic branding is an industry that strategically designs a cohesive auditory component of a brand’s corporate identity. This paper examines the psychological impact of music and sound on consumer behavior reviewing studies from the past 40 years and investigates the significance of stimulating auditory perception by infusing sound in consumer experience in the modern 2020s.

Design/methodology/approach:
Qualitative content analysis of audio media was used to test two hypotheses. Four archival oral interview recordings from Jeanna Isham’s podcast “Sound in Marketing” featuring the sonic branding experts …

Active Learning With Cybersecurity, Carole Shook

TFSC Publications and Presentations

A global campus grant was obtained in Spring 2020 to develop modules for Cybersecurity. This presentation encompasses the use of Cyberciege and case studies that require active learning of students.

The Importance Of Agile Reporting Methods In A Retail Sales Environment, Katie Haefner

Information Systems Undergraduate Honors Theses

The primary objective of this project is to understand the importance of agile reporting methodologies for a retail sales team. Data has proven to be very vital for businesses to use and understand. In software systems that serve as data warehouses, it is expected that value be provided at each iteration within the system. This includes all the measurements, metrics, and reports. Agile reporting effects the way that data is utilized within a company. This paper looks at some of ways that value can be added when companies focus on ways to consolidate and standardize data as well as make …

Challenges Of The Industrial Revolution Era 1.0 To 5.0 : University Digital Library In Indoensia, Merlin Apriliyanti, Ilham M

Library Philosophy and Practice (e-journal)

This study explains the development of the world of libraries to establish a very close relationship with the world of information technology. For this reason, facilities and infrastructure are needed to facilitate data and information retrieval quickly and accurately. Facing the challenges of the Industrial Revolution 5.0 era by utilizing information technology, libraries must also adapt to the times. Because the library has an important role, among others, as a source of information and the development of knowledge. Used libraries are still conventional to be converted into digital libraries. In essence, this development represents the desire of library users for …

The Application Of The Right To Be Forgotten In The Machine Learning Context: From The Perspective Of European Laws, Zeyu Zhao

Catholic University Journal of Law and Technology

The right to be forgotten has been evolving for decades along with the progress of different statutes and cases and, finally, independently enacted by the General Data Protection Regulation, making it widely applied across Europe. However, the related provisions in the regulation fail to enable machine learning systems to realistically forget the personal information which is stored and processed therein.

This failure is not only because existing European rules do not stipulate standard codes of conduct and corresponding responsibilities for the parties involved, but they also cannot accommodate themselves to the new environment of machine learning, where specific information can …