Business Intelligence Commons^™

Análisis Del Comportamiento De Fraude Transaccional En Una Entidad Financiera A Nivel Nacional Frente Al Marco De La Pandemia Covid-19, Laura Marcela Torres Gallón

Finanzas y Comercio Internacional

La innovación de nuevos canales transaccionales para realizar pagos y compras a través de internet, sumado con el contexto externo que se acabó de vivir a nivel global con la pandemia COVID-19, ha desencadenado y obligado a que las personas que antes no hacían uso de canales digitales migren a estos para poder realizar el pago de sus obligaciones, esto teniendo en cuenta que cualquier persona con acceso a internet puede realizar transacciones monetarias y no monetarias desde cualquier parte del mundo por medio de los portales transaccionales y nuevas aplicaciones digitales que están a disposición de los usuarios por …

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 …

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 …

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

Senior Honors Projects

No abstract provided.

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 …

Big Data And Business Intelligence In Hospitality And Tourism, Gozde Turktarhan, Ram Gopalan, Emrah Ozkul

University of South Florida (USF) M3 Publishing

The developments in technology in the last 25 years have brought many changes in the tourism and hospitality sector as well as in many other fields. Big data and business intelligence, which are the leading ones among these developments, have caused some changes in the way of doing business in the tourism industry. Explaining the relationship between big data and business intelligence is important for understanding how these changes are reflected in the tourism industry. Business intelligence and big data, which enable many processes to be completed in a shorter time, also bring some ethical problems. In this book chapter, …

Organizational Decision-Making In The Age Of Big Data And Artificial Intelligence, Anh Luong

Dissertations, Theses, and Capstone Projects

This dissertation examines organizational decision-making in the context of big data and artificial intelligence (machine learning) technologies. There are three studies. All three focus on collaborative decision-making in organizations, with study 1 examining it in the context of big data, while study 2 and 3 in the context of artificial intelligence.

Study 1: This study examines the impact of different manners of presenting information on collaborative decision-making performance. Using controlled economic experiments, I assign participants with a resource allocation decision-making task (adapted from the game theoretic public goods provision problem) and examine the collaborative outcomes of groups when exposed to …

A Unique Case Study On Ppp Termination By The Concessionaire - Png Tollway, Raja Sekhar Mamillapalli, P Hanumatha Raao

Journal of Emerging Technologies and Business Management

PNG Tollways, a special purpose vehicle of L&T Infrastructure Development Project Ltd, Ashoka Buildcon and SBI Macquarie, has served a project termination notice on the Maharashtra government due to operational problem caused by locals and politicians. Further, it is dissatisfied with the compensation offered by the State for the losses incurred by the developer due to non-collection of toll at the Nashik plaza. The failure of the projects raised many concerns about the fate of future road projects based on toll collections. It also expressed its unwillingness take back the termination notice, said sources. The developer has sought the termination …

Coding Ivey Publishing: Building Sustainable Values For Tomorrow's Business Leaders, B. Pick

Undergraduate Student Research Internships Conference

A reflection on the future of sustainability in business as it pertains to Ivey Publishing's case collection and the coding system developed through the USRI program.

Advances In Global Services And Retail Management: Volume 2, Cihan Cobanoglu, Valentina Della Corte

University of South Florida (USF) M3 Publishing

This is the second volume of the Advances in Global Services and Retail Management Book Series. This volume has the following parts:

• Part 1: Hospitality and Tourism
• Part 2: Marketing, E-marketing, and Consumer Behavior
• Part 3: Management
• Part 4: Human Resources Management
• Part 5: Retail Management
• Part 6: Economics
• Part 7: Accounting and Finance
• Part 8: Sustainability and Environmental Issues
• Part 9: Information Technology

ISBN: 978-1-955833-03-5

Hospitality and Tourism

• Significance of VR in the spa: A spatial analysis
  • Irini Lai Fun Tang, Schultz Zhi Bin Xu, and Eric Chan
• Social media marketing in rural hospitality and tourism destination research
  • Samuel …

Artificial Intelligence In Retailing, Ibrahim Kircova, Munise Hayrun Saglam, Sirin Gizem Kose

University of South Florida (USF) M3 Publishing

Advances in Artificial Intelligence and Machine Learning technologies have brought a completely new level of data processing that provides deeper business insights. Purchasing advice, dynamic pricing, personal content and advice have become widely used in the retail industry thanks to artificial intelligence. Almost real-time results can be achieved by expanding the scope of data obtained from existing customers and algorithms that mimic human-like behavior. In addition, interactions with machines are more widely accepted than before, allowing consumers to accept innovations faster and thus increase brand loyalty. On the other hand, the success of artificial intelligence, which will change the future …