Business Intelligence Commons^™

Determinantes Del Análisis De La Conducta En El Diseño De Educación Financiera En Colombia, Angie Daniela Lozano Rico

Finanzas y Comercio Internacional

Este estudio se realizó para determinar la importancia de incluir factores conductuales en la estructura de los programas de educación financiera propuestos por el Gobierno y entidades bancarias en Colombia. Se desarrolló por medio de una aproximación experimental, diseñada a partir de algunos conceptos y teorías de las finanzas comportamentales a dos grupos diferentes. El primer grupo se llevó a cabo con estudiantes de can-era a fin con el sector financiero y el segundo se conformó por una muestra aleatoria. Los hallazgos de esta investigación permitieron identificar cómo las personas varían el destino de sus ingresos dependiendo de la disponibilidad …

Cloud-Based Machine Learning And Sentiment Analysis, Emmanuel C. Opara

Electronic Theses and Dissertations

The role of a Data Scientist is becoming increasingly ubiquitous as companies and institutions see the need to gain additional insights and information from data to make better decisions to improve the quality-of-service delivery to customers. This thesis document contains three aspects of data science projects aimed at improving tools and techniques used in analyzing and evaluating data. The first research study involved the use of a standard cybersecurity dataset and cloud-based auto-machine learning algorithms were applied to detect vulnerabilities in the network traffic data. The performance of the algorithms was measured and compared using standard evaluation metrics. The second …

Social Word Of Mouth Valence And Role Of Moderators: An Integrated Model Of Consumer Decision Making, Angshuman Ghosh Dr, Sanjeev Varshney Dr, Shabbirhusain R.V. Dr

Journal of International Technology and Information Management

The study aimed at coming up with an integrated model of consumer decision making that captures the impact of social media word of mouth (SWOM) on consumers’ decision influencing variables including perceived risk, its impact on attitude towards the brand, and eventually on intention to purchase. The integrated model incorporates the impact of SWOM message valence along with moderating role played by various source and receiver level characteristics on the variables mentioned above. Two experiments with between-subject factorial designs were conducted for testing the hypotheses. The first study had 128 participants divided into eight groups and their responses were collected …

Jitim Front Cover Vol 31 1 2022

Journal of International Technology and Information Management

Table of Content JITIM Vol 31. issue 1, 2022

Establishing A Management Performance Measurement System; Defining And Selecting Kpis, Dimitrios V. Siskos

Publications

Managers and constituents of industries are increasingly concerned about measuring and managing organizational performance. However, launching a new measurement system goes beyond defining new metrics or developing new displays of existing data. However, as Bourne and Neely (2003) point out, there is some evidence that many of these implementations are not successful. This paper initially examines the most difficult elements in establishing and launching a management performance measurement system. The next step after the establishing of a performance measurement system, is to specify the essential elements in defining and selecting KPIs. Unfortunately, different people have very clear and different definitions …

Centro De Emprendimiento E Innovación Casa Social De La Mujer De Zipaquirá Como Experiencia De Desarrollo De Capacidades En Las Mujeres, Elena Marcela Vanegas Calderon

Maestría en Estudios y Gestión del Desarrollo – MEGD

Los impactos de las experiencias que desarrollan capacidades humanas son escasos, la sistematización y evaluación de estas se hacen necesarias para mejorar nuestra comprensión sobre cómo funcionan estas experiencias y cuál es su relación con el desarrollo humano. En este trabajo se analiza la experiencia Centro de Emprendimiento e Innovación Casa Social de la Mujer de Zipaquirá (CEICSMZ) como un espacio que continúa el desarrollo de capacidades en Mujeres. Esta investigación se despliega con un estudio cualitativo centrado en la sistematización de las experiencias de las mujeres, que se basa en la deducción de datos obtenidos y la construcción de …

Collecting Samples From Online Services: How To Use Screeners To Improve Data Quality, Aaron D. Arndt, John B. Ford, Barry J. Babin, Vinh Luong

Marketing Faculty Publications

Increasingly, marketing and consumer researchers rely on online data collection services. While actively-managed data collection services directly assist with the sampling process, minimally-managed data collection services, such as Amazon’s Mechanical Turk (MTurk), leave researchers solely responsible for recruiting, screening, cleaning, and evaluating responses. The research reported here proposes a 2 × 2 framework based on sampling goal and methodology for screening and evaluating the quality of online samples. By sampling goals, screeners can be categorized as selection, which involves matching the sample with the targeted population; or as accuracy, which involves ensuring that participants are appropriately attentive. By …

Application Of Competitive Intelligence For Insular Territories: Automatic Analysis Of Scientific And Technology Trends To Fight The Negative Effects Of Climate Change, Henri Dou, Pierre Fournie

International Journal of Islands Research

Islands are fragile territories because of their geographical position. As a result, climate impacts can have serious consequences, of which some are irreversible. Therefore, it is necessary to allow insular territories to benefit from the latest scientific and technological advances in combating climate effects. The current article shows how to deal with automatic analysis of scientific information on the one hand, but also its applications via patents. We will analyse the latest scientific results as well as their possible applications using patent analysis. We will also focus on experts, laboratories, and leading companies, that are active on the field. The …

Aspect-Based Sentiment Analysis Of Movie Reviews, Samuel Onalaja, Eric Romero, Bosang Yun

SMU Data Science Review

This study investigates a comparison of classification models used to determine aspect based separated text sentiment and predict binary sentiments of movie reviews with genre and aspect specific driving factors. To gain a broader classification analysis, five machine and deep learning algorithms were compared: Logistic Regression (LR), Naive Bayes (NB), Support Vector Machine (SVM), and Recurrent Neural Network Long-Short-Term Memory (RNN LSTM). The various movie aspects that are utilized to separate the sentences are determined through aggregating aspect words from lexicon-base, supervised and unsupervised learning. The driving factors are randomly assigned to various movie aspects and their impact tied to …

Librarians Don’T Use Google!: Breaking Stereotypes And Myths About Smart Searching, Nora B. Wood, Dhy Edwardsberry

Urban Library Journal

Students often assume that librarians sit with their noses stuck in dusty volumes all day. These same students are typically surprised to learn that many librarians actually work extensively with online resources and are adept at navigating websites and databases to uncover the best information. What comes as even more of a surprise? Learning that librarians rely heavily on Google to conduct thorough and credible research.

In this article, the authors will discuss how they helped break this librarian stereotype and turned the tables on preconceived notions of how to conduct smart research using Google for a group of undergraduate …

Prediction Of Iraqi Stock Exchange Using Optimized Based-Neural Network, Ameer Al-Haq Al-Shamery, Prof. Dr. Eman Salih Al-Shamery

Karbala International Journal of Modern Science

Stock market prediction is an interesting financial topic that has attracted the attention of researchers for the last years. This paper aims at improving the prediction of the Iraq-Stock-Exchange (ISX) using a developed method of feedforward Neural-Networks based on the Quasi-Newton optimization approach. The proposed method reduces the error factor depending on the Jacobian vector and Lagrange multiplier. This improvement has led to accelerating convergence during the learning process. A sample of companies listed on ISX was selected. This includes twenty-six banks for the years from 2010 to 2020. To evaluate the proposed model, the research findings are compared with …

Integration Of Blockchain Technology Into Automobiles To Prevent And Study The Causes Of Accidents, John Kim

Electronic Theses, Projects, and Dissertations

Automobile collisions occur daily. We now live in an information-driven world, one where technology is quickly evolving. Blockchain technology can change the automotive industry, the safety of the motoring public and its surrounding environment by incorporating this vast array of information. It can place safety and efficiency at the forefront to pedestrians, public establishments, and provide public agencies with pertinent information securely and efficiently. Other industries where Blockchain technology has been effective in are as follows: supply chain management, logistics, and banking. This paper reviews some statistical information regarding automobile collisions, Blockchain technology, Smart Contracts, Smart Cities; assesses the feasibility …

Machine Learning Models Predicting The Prices Of Houses In Boston, Sheikh-Sedat Touray

Senior Honors Projects

No abstract provided.

Integration Of Internet Of Things And Health Recommender Systems, Moonkyung Yang

Electronic Theses, Projects, and Dissertations

The Internet of Things (IoT) has become a part of our lives and has provided many enhancements to day-to-day living. In this project, IoT in healthcare is reviewed. IoT-based healthcare is utilized in remote health monitoring, observing chronic diseases, individual fitness programs, helping the elderly, and many other healthcare fields. There are three main architectures of smart IoT healthcare: Three-Layer Architecture, Service-Oriented Based Architecture (SoA), and The Middleware-Based IoT Architecture. Depending on the required services, different IoT architecture are being used. In addition, IoT healthcare services, IoT healthcare service enablers, IoT healthcare applications, and IoT healthcare services focusing on Smartwatch …

Human Resource Information Systems: Implementing Data Analytics Techniques In Human Resource Functions, Prachi Tembhekar

Electronic Theses, Projects, and Dissertations

This project investigated analytical techniques used by organizations across many industries for HR functions, and how data analytical techniques can help HR departments work efficiently. The goal was to look into the obstacles and opportunities that companies have when using HR analytics as a tool in their businesses. This project used secondary data acquired from earlier research articles, journals from the years 2016 to 2019, blogs, and websites to investigate theories and applications of HR analytics. It also examined the need of analytics to assist HR leaders in thinking about the implications of these technologies in future work and how …

A Comprehensive Framework For Sustainable Closed-Loop Supply Chain Network Design, Madjid Tavana, Hadi Kian, Arash Khslili Nasr, Kannan Govindan, Hassan Mina

Business Systems and Analytics Faculty Work

Many companies face challenges in reducing their supply chain costs while increasing sustainability and customer service levels. A comprehensive framework for a sustainable closed-loop supply chain (CLSC) network is a practical solution to these challenges. Hence, for the first time, this study considers an integrated multio-bjective mixed-integer linear programming (MOMILP) model to design sustainable CLSC networks with cross-docking, location-inventory-routing, time window, supplier selection, order allocation, transportation modes with simultaneous pickup, and delivery under uncertainty. An intelligent simulation algorithm is proposed to produce CLSC network data with probabilistic distribution functions and feasible solution space. In addition, a fuzzy goal programming approach …

Enhancing Academic Advising In Credit Hours System Using Dss, Alaa Salah Eldin Ghoneim

Future Computing and Informatics Journal

Academic advising plays a vital role in achieving higher educational institution’s purposes. Academic advising is a process where an academic advisor decides to select a certain number of courses for a student to register in each semester to fulfil the graduation requirements. This paper presents an Academic Advising Decision Support System (AADSS) to enhance advisors make better decisions regarding their students’ cases. AADSS framework divided into four layers, data preparation layer, data layer, processing layer and decision layer. The testing results from those participating academic advisors and students considered are that AADSS beneficial in enhancing their decision for selecting courses.

An Integrated Fuzzy Goal Programming—Theory Of Constraints Model For Production Planning And Optimization, Habib Zare, Mahyar Kamali Saraji, Madjid Tavana, Dalia Streimikiene, Fausto Cavallaro

Business Systems and Analytics Faculty Work

Manufacturing companies are under constant pressure to optimize the economic sustain-ability of their production systems. Production planning and optimization is a well-established strategy for considering resource constraints and improving economic productivity. This study proposes an integrated fuzzy goal planning and the theory of constraints for production planning and optimization. To this end, a hybrid Delphi–Buckley method was used to identify the relevant goals and a paired matrix questionnaire was used to determine the fuzzy weights of the goals. Furthermore, a fuzzy bottleneck detection algorithm was used to deal with the bottlenecks. A case study in the cable industry is presented …

The Maritime Domain Awareness Center– A Human-Centered Design Approach, Gary Gomez

Political Science & Geography Faculty Publications

This paper contends that Maritime Domain Awareness Center (MDAC) design should be a holistic approach integrating established knowledge about human factors, decision making, cognitive tasks, complexity science, and human information interaction. The design effort should not be primarily a technology effort that focuses on computer screens, information feeds, display technologies, or user interfaces. The existence of a room with access to vast amounts of information and wall-to-wall video screens of ships, aircraft, weather data, and other regional information does not necessarily correlate to possessing situation awareness. Fundamental principles of human-centered information design should guide MDAC design and technology selection, and …

Simulation-Based Scenario Mapping Model To Investigate Post-Brexit Implications On The Irish Beef Export Sector: A Case Study, Amr Mahfouz, Rishi Choudhary

Conference papers

Purpose Brexit introduced a range of new tariffs and non-tariff barriers that will significantly disrupt Irish beef exports, particularly to the UK market. Firms should be able to accurately anticipate the adverse effects of Brexit trade barriers on the flow of their products and change their practices accordingly. This research introduces a scenario planning solution based on a process simulation technology to investigate the implication of Brexit risks on Irish beef export performance. Scenarios implications on the transportation time and shelf-life of Irish meat exports to the UK market are investigated.

Research Approach An agent-based and discrete event simulation model …