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 …

Guinness Is The "Pumpkin Spice Latte" Of St. Patrick's Day, Jin-A Choi, Yi Luo, Bond Benton

School of Communication and Media Scholarship and Creative Works

This study by a team of faculty from the Joetta Di Bella and Fred C. Sautter III Center for Strategic Communication in the School of Communication and Media at Montclair State University shows that Guinness was the most-discussed brand on social media leading up to St. Patrick’s Day, and not just in the traditional ways people share how they drink the popular beer brand. The volume of social media conversations related to Guinness beer and St. Patrick’s Day saw a 25% increase. Most social chats exhibited a happy mood as evidenced by a 62% joyful sentiment.

While the Shamrock Shake …

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 …

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 …

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 …

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 …

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, …

Phantom Shootings, Allan Ambris

Dissertations, Theses, and Capstone Projects

This capstone is a website designed to critique NYC Open Data reporting with respect to shootings through a series of visualizations and discoveries. The NYPD Shooting Incidents datasets (Historic and Year to Date) introduce themselves to the user by claiming to be a “list of every shooting incident that occurred in NYC.” The supplied documentation reveals that this is not the case.

After understanding the supporting materials, there are still undisclosed truths. My exploration of the data revealed that a single victim may be represented across multiple entries. Additionally, multiple victims may be represented by a single entry. It is …

"Church On My Couch": Predicting The Future Impact Of Online Ministry Based On The Impact During Covid-19, Samukeliso Mabarani, Sikhumbuzo Dube

Adventist Human-Subject Researchers Association

With “everything from home” as the new norm, “how does the use of digital platforms impact Adventist education, community engagement, and spiritual outreach?” Using a quantitative approach, we draw insights from online ministry during Covid-19 and use the insights to predict the future impact of online ministry statistically.

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 …

Accounting And Financial Statements Auto Analysis System, Zhen Jia

Electronic Theses, Projects, and Dissertations

This project was motivated by the need to revolutionize the generation of financial statements and financial analysis process thus speeding up business decision making. The research questions were: 1) How can machine learning increase the speed of financial statement preparation and automate financial statements analysis? 2) How can businesses balance the benefits of automating financial analysis with potential concerns around privacy, data security, and bias? 3) Can the Java J2EE framework provide a reliable running environment for machine learning?

The findings were: 1) Machine learning can significantly increase the accuracy and speed of financial analysis. Using machine learning algorithms, financial …

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 …

Opportunity And Challenges In Educational Tourism For Smes In India, Anup Kumar, Dr Santosh Srivastava

Journal of Emerging Technologies and Business Management

Opinion paper

Effect Of Environmental Factors On Daily New Cases Of Covid-19 Pandemic In Delhi, India, Santosh Shrivastava

Journal of Emerging Technologies and Business Management

This research study investigates the effect of environmental factors such as Maximum Temperature (TMAX), Minimum Temperature (TMIN), Average Temperature (TA), Rainfall mm per inch (RF), Air Quality Index AQI, Precipitation (PP), Humidity (HM) and Wind Speed (WD) on the daily new cases and deceased cases of COVID-19 pandemic in New Delhi, India. The secondary data of COVID-19 is taken from the Department of Health & Family Welfare Government of Delhi, India, while AQI data is extracted from the Meteorological Department of the government of India. The correlation approach is used to test the effect of AQI and temperature on the …

Is The World Heading Towards De-Globalization Due To Uncertain Conditions, Malay Kumar Ghosh

Journal of Emerging Technologies and Business Management

ABSTRACT

Globalization, Glocalization, Regionalization, Localization with Global approach, Hyper Localization and De-globalization are the buzz word for the present Global Economics . The world is going through metamorphic challenges due to international conflicting interest and national sovereignty changes in geo economic, military, political, diplomatic spectrum and demographic variations. Changes which not only transforming the world dynamics but have also affected the fate of countries relying on Globalization or Localization approach.

Thomas Friedman once stated “The world is flat”. Localization, Colonization, Regionalization, or Globalisation are the international phenomena which cannot be stopped at will or desisted. Globalisation has gone through …

Flexible Work Arrangements And Its Impact On Work-Life Balance, Anurag Shanker

Journal of Emerging Technologies and Business Management

“Flexible work arrangements” is a strategic part of the ecosystem of progressive organizations. There has been exponential increase in organizations that offer flexible work arrangements to their employees. Flexible work arrangements encompass various components which individually and collectively help in improving the overall wellbeing of the employees. The relaxations provided under flexible work arrangements improve the work-life balance of the employees significantly.

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 …

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 …

The Effects Of Different Personalized Services On Consumer Cognition, Emotion, And Intention To Share Information, Thomas John Stimson Ii, Jing Wang

Honors Theses and Capstones

No abstract provided.

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 …

Aplicación De Machine Learning A Un Modelo Tradicional De Prevención Y Detección De Fraude En Entidad Financiera Proyectado A Periodos Trimestrales, Lady Katherine Quintero Acuña

Maestría en Analítica e Inteligencia de Negocios

El fraude contra el sistema financiero ocasiona diversos riesgos económicos, perjuicios a la reputación, costos adicionales, impacto en la economía e implicaciones legales tanto para las entidades bancarias como para sus clientes. Por lo tanto, resulta crucial que las entidades financieras implementen medidas sólidas de seguridad y cumplan con las regulaciones pertinentes a fin de prevenir y detectar el fraude, protegiendo así a sus clientes y preservando su propia integridad financiera. Por este motivo, el enfoque principal del presente proyecto es investigar cómo el aprendizaje automático (Machine Learning) puede complementar el método tradicional de detección de fraudes basado en reglas, …

Análisis De La Influencia De Los Grupos De Eventos Sociales Significativos En Las Donaciones Del Banco De Alimentos De Bogotá En El Periodo 2018 Al 2021, Lina Fernanda Barrantes Velandia

Maestría en Analítica e Inteligencia de Negocios

El Banco de Alimentos de Bogotá es una organización sin ánimo de lucro, adscrita a la Arquidiócesis de Bogotá que lleva más de 20 años de labores de gestión social, impactando a población vulnerable en la ciudad y alrededores desde la atención, la alimentación y la reducción de desperdicios, al no poseer actividades comerciales, su solvencia financiera depende de las donaciones que recibe por diferentes medios, dichos ingresos se ven afectados por diferentes factores exógenos, noticias, eventos y acontecimientos que curren de forma nacional como internacional, esto conmueve de forma positiva o negativa la intención de donar de las personas …

El Fraude En El Soat: Desarrollo De Un Análisis Predictivo Basado En Aprendizaje Automático Para La Detección Efectiva De Fraude, Jennifer Amanda Martínez Rivera, Diana Carolina Rodríguez Camacho

Maestría en Analítica e Inteligencia de Negocios

El seguro obligatorio de accidentes de tránsito (SOAT) es un seguro en Colombia que busca brindar protección a las víctimas que resulten afectadas en un accidente de tránsito, en este seguro se ha identificado un aumento preocupante en los casos de fraude que han generado pérdidas económicas y afectaciones en la sostenibilidad del ramo. El fraude consiste en actividades ilícitas realizadas por una o varias personas que buscan la manera obtener algún provecho perjudicando los intereses de otros. En el caso del SOAT, estas actividades ilícitas se clasifican en los diferentes tipos de fraude como son: la venta del SOAT …

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 …

Modelo De Variable Instrumental: Una Estimación De Los Efectos De La Competencia Política En La Provisión De Servicios Públicos Municipales En Colombia, Cristina Navarro Pérez

Maestría en Analítica e Inteligencia de Negocios

En este documento se plantean las bases para la estimación de los efectos de la competencia política en la provisión de servicios públicos domiciliarios locales, con información de corte transversal referente a las elecciones municipales de Colombia efectuadas en los años 2011, 2015 y 2019. Para tal fin y teniendo en cuenta la posible presencia de endogeneidad se implementa la metodología de mínimos cuadrados en dos etapas con datos de corte trasversal para las elecciones de los años 2011, 2015 y 2019, en 958, 880 y 838 municipios de Colombia, respectivamente. La hipótesis cardinal propone que una fuerte competencia política …

El Impacto Del Chatbot En La Caja De Compensación Familiar Compensar A Partir De La Experiencia De Cliente En El Ciclo De Servicio De Vivienda Durante El Año 2021 - 2022, Oscar Hernando Almonacid Zambrano

Maestría en Analítica e Inteligencia de Negocios

La presente investigación tuvo como objetivo general determinar el impacto del chatbot en la Caja de Compensación Familiar Compensar, a partir de la experiencia de los clientes durante el ciclo de servicio de vivienda durante el periodo comprendido entre los años 2021 y 2022. Para ello, se empleó una metodología de corte transversal, con un enfoque cuantitativo y un diseño no experimental. La técnica de encuesta fue aplicada, obteniendo resultados de una muestra específica de 360 individuos, seleccionados de una población total de 5683 personas, que interactuaron con el chatbot de la Caja de Compensación Familiar Compensar en el ciclo …

Análisis Relacional Entre Las Peticiones, Quejas Y Reclamos (Pqrs) Y La Portabilidad Numérica En Las Operadoras Móviles En Colombia Durante El Período Comprendido Entre Enero De 2020 A Diciembre De 2022, Lina María González Ortiz, Nohora Beatriz Corredor Castellanos

Maestría en Analítica e Inteligencia de Negocios

El sector de las comunicaciones es uno de los más importantes del país teniendo en cuenta la forma en la que ha crecido el número de suscriptores, así como la cobertura y las características de sus servicios. De acuerdo con las cifras que se consolidaron en el marco de la presente investigación, a medida que los suscriptores crecen, crecen también las reclamaciones realizadas por los mismos y las motivaciones de las reclamaciones se hacen más diversas en la medida en la que los entes de regulación establecen reglas de protección para los usuarios. La presente investigación tiene como propósito principal …

Mayor Índice De Accidentalidad En Bogotá A Través De Un Modelo De Machine Learning, Paola Andrea Triana Niño

Maestría en Analítica e Inteligencia de Negocios

En los últimos años, la Organización Mundial de la Salud ha manifestado que los accidentes de tránsito, podría considerarse como un problema de salud pública con el pasar del tiempo, dado los altos índices de accidentalidad y su tendencia creciente (Alarcón D. et al. 2018). Aun cuando a nivel mundial se ha trabajado con entereza para lograr la reducción de la accidentalidad en las calles, se evidencia que factores como el nivel educativo de peatones y conductores, el género, los estilos de conducción y el desconocimiento o mal interpretación de las señales de tránsito tienen alta influencia o tienden a …