Business Intelligence Commons^™

How Big Data Will Be An Added Value To Scm?, Rawad Issam Jaber-Chehayeb

BAU Journal - Creative Sustainable Development

It is the era of digital information technology where almost everything is going smart. Thus, organizations move towards digitalization that cause the emergent of Big Data. Analyzing big data is the big challenge today. Being smart puts the world under a big challenge to adapt, change, and upgrade systems to analyze the Big Data using the high technology. Challenges are growing with the market and appears in different forms. Many of these challenges can be hard or difficult to handle on your own if you are a small to medium size business without the help of supply chain management system. …

Apuntes Empresariales: Construyendo Región A Partir De La Investigación, Juan Manuel Andrade Navia, Dario Benavides Pava, Diego Edison Quiroga Rojas

Ciencias Administrativas, Económicas y Contables

El presente texto, resultado de investigación, forma parte de la operacionalización del plan estratégico del grupo de investigación Los Acacios, adscrito al programa de Administración de Empresas de la seccional Girardot de la Universidad de Cundinamarca, consignado en la plataforma GrupLac del Ministerio de Ciencia Tecnología e Innovación de la República de Colombia. Una de las líneas de investigación en las que trabajan los investigadores del grupo Los Acacios es precisamente el desarrollo organizacional y regional, cuyo propósito es la apertura de espacios para la discusión académica, política, gremial e institucional que permitan identificar las bases filosóficas, culturales y económicas …

The Distinction Of Logical Decision According To The Model Of The Analysis Of Brain Signals (Eeg), Akeel Abdulkareem Al-Sakaa, Zaid H. Nasralla, Mohsin Hasan Hussein, Saif A. Abd, Hazim Alsaqaa, Kesra Nermend, Anna Borawska

Karbala International Journal of Modern Science

Recently, brain signal patterns have been recruited by researchers in different life activities. Researchers have studied each life activity and how brain signal patterns appear. These patterns could then be generalised and used in different disciplines. In this paper, we study the brain state during decision making in a lottery experiment. An EEG device is used to capture brain signals during an experiment to extract the optimal state for logical decision making. After collecting data, extracting useful information and then processing it, the proposed method is able to identify rational decisions from irrational ones with a success rate of 67%.

Closing The Gender Gap In Entrepreneurship Education, Carolyn J. Rodeffer

Graduate Theses and Dissertations

Entrepreneurship education in higher education has been cited as a key strategy in filling the entrepreneurship talent pool, preparing students with the skills and confidence needed to start new ventures (Westhead & Solesvik, 2016). However, outcomes of entrepreneurship education for female students are less positive than for their male counterparts (Shinnar et al., 2012; Westhead & Solesvik, 2016; Wilson et al., 2007). Working within the frameworks of Bandura’s self-efficacy theory (1977), Azjen’s theory of planned behavior (1991), and Steele and Aronson’s stereotype threat theory (1995), this quantitative study utilized an experimental research design to assess the impact of role model …

Understanding Different Biases That Affect Theinvestor Decision Behaviour, Ashi Bansal, Kritika Arora, Manasi Mishra, Mohammad Haider, Shubham Sharma, Simran Gupta, Nidhi Singh

Management Dynamics

No abstract provided.

Role Of Financial Literacy And Self-Efficacy On Bias And Investment Decision Making, Ananya Tripathi, Niharika Agrawal, Kaushik Sharma, Gaurav Pandey, Shivam Verma, Smally ., Shrishti Mittal, Nidhi Singh

Management Dynamics

No abstract provided.

Behavioural Finance Effect On Stock Price Trends During Covid-19 Pandemic, Arpita Jain, Siddhi Agrawal, Simanta Goswami, Sidhant Banga, Suryakant Kumar, Nidhi Singh

Management Dynamics

No abstract provided.

Differentiated Banking In India: The Road Ahead, Akshay Kumar Mishra

Management Dynamics

No abstract provided.

Impact Of Orientation Program On Teacher's Performance, Akshay Kumar Mishra

Management Dynamics

No abstract provided.

A Machine Learning Approach To Revenue Generation Within The Professional Hair Care Industry, Alexander K. Sepenu, Linda Eliasen

SMU Data Science Review

The cosmetic and beauty industry continues to grow and evolve to satisfy its patrons. In the United States, the industry is heavily science-driven, innovative, and fast-paced, suggesting that to remain productive and profitable, companies must seek smart alternatives to their current modus operandi or risk losing out on this multi-billion-dollar industry to fierce competition. In this paper, the authors seek to utilize machine learning models such as clustering and regression to improve the efficiency of current sales and customer segmentation models to help HairCo (pseudonym for confidentiality), a professional hair products manufacturer, strategize their marketing and sales efforts for revenue …

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 …

How Blockchain Solutions Enable Better Decision Making Through Blockchain Analytics, Sammy Ter Haar

Information Systems Undergraduate Honors Theses

Since the founding of computers, data scientists have been able to engineer devices that increase individuals’ opportunities to communicate with each other. In the 1990s, the internet took over with many people not understanding its utility. Flash forward 30 years, and we cannot live without our connection to the internet. The internet of information is what we called early adopters with individuals posting blogs for others to read, this was known as Web 1.0. As we progress, platforms became social allowing individuals in different areas to communicate and engage with each other, this was known as Web 2.0. As Dr. …

Keurig Dr. Pepper Internship: Development Of A Tool In A Big Data Environment To Uncover Risks And Opportunities, Lindsey Ross

Marketing Undergraduate Honors Theses

Selling and sales management professions permeate job application websites. Sales is often associated with a pushy used-car dealership and cold calling. These practices are necessary, but selling, especially in our increasingly consumerist society, has long influenced and is a part of almost all business professions. You could argue that almost every employed individual operates in some sort of sales function due to the current job landscape. Whether this includes working directly with the sale of a product or even selling one’s self to a company or client. Selling in the retail space is understandably the heartbeat of the company, especially …

Aligning University Of Arkansas Curriculum With Employee Expectations Regarding Analytics Graduates, Ryan Norman

Economics Undergraduate Honors Theses

Institutions around the world need talented data analysts that can handle the influx of data being produced. This is driving an even higher need for well-prepared students that can bring value to the company immediately out of undergraduate or graduate programs. Because of this, what they are being taught needs to align directly with skills and knowledge that are required to be effective within organizations from the jump. This paper considers the alignment of higher education curriculum with employee expectations regarding analytics graduates.

This research paper is designed to determine whether programs, such as the Walton College of Business, need …

Ohio Energy Generation Optimization, Thomas Lynch

Honors Projects

This honors project explores the optimization of energy generation within the state of Ohio to better the energy generation efficiency both environmentally and economically. The proposed solution is a 30-year plan from 2020 to 2050 to reduce the environmental impact caused by electricity generation in Ohio. This project shows guidelines and goals to reach by the end of every decade spanning from 2030 to 2050. This was done using an optimizing program called Multiple Objective Linear Programming (MOLP) and while not perfect it lays a foundation for changes that should come to Ohio’s energy mix in the next 30 years.

System Dynamics Modeling To Understand The Impact Of Covid-19 On Indian Economy, Anuja Shukla, Neha Tomer, Preeti Singh

Management Dynamics

COVID-19 has led to a severe health crisis. This sudden and wide impact of corona virus has brought the global economy to its knees. The virus has spread across the world through the chain of transmission. In India, the first case of COVID-19 was reported in the month of February 2020 and has spread drastically within past four months. As a preventive measure, the government announced complete lockdown in the month of March 2020 to stop this pandemic situation in India (Suri, April 30, 2020). This invisible virus has compelled many business organizations to shutdown their respective activities and to …

Predicting And Composing A Top Ten Billboard Hot 100 Single With Descriptive Analytics And Classification, Matthew Deamon

Honors Projects

In late 20^th and early 21^st century Western popular music, there are cyclical structures, sounds, and themes that come and go with historical trends. Not only do the production techniques utilized reflect technological advancements (the Yamaha DX7, the Roland 808, etc.), the art form reflects contemporary cultural attitudes through lyrics and stylistic choice. Through this lens, pop songs can serve as historical artifacts for their unique ability to captivate listeners based on their generally acceptable and familiar elements, both upon release and with future audiences. It raises the questions: “Can a chronological analysis of artistic choices reveal trends …

Society Dilemma Of Computer Technology Management In Today's World, Iwasan D. Kejawa Ed.D

School of Computing: Faculty Publications

Abstract - Is it true that some of the inhabitants of the world’s today are still hesitant in using computers? Research has shown that today many people are still against the use of computers. Computer technology management can be said to be obliterated by security problems. Research shows that some people in society feel reluctant or afraid to use computers because of errors and exposure of their privacy and their sophistication, which sometimes are caused by computer hackers and malfunction of the computers. The dilemma of not utilizing computer technology at all or, to its utmost, by certain people in …

The New Frontier Or A Billionaire’S Joy Ride? Artificial Intelligence Driven Analysis Of Twitter Conversations Of The Spacex Company, Meghan Whittle, Miranda Butler

Senior Theses

In recent years, space travel has become less of a vision for select individuals in the field of research and is now on the cusp of becoming an experience available to paying customers. The purpose of this study is to determine Twitter users’ perceptions of SpaceX during the COVID-19 pandemic period from March 2020 to December 2021. We identified Twitter sentiment and emotions regarding such a new and abstract notion of a service that could be more widely available in the future. To achieve these goals, we collected tweets related to SpaceX using Brandwatch – a tool allowing the search …

An Empirical Study To Understand The Effectiveness And Scope Of Blockchain Technology In Indian Public Sector, Radhakrishnan Airy, Hritika Gajarlawar, Nilay Bajaria, Ganesh Joshi

Walden Faculty and Staff Publications

The Blockchain is a distributed database that is maintained as Blocks and contains all transactions or digital occurrences. These are the records of transactions that take place between parties.Blockchain blocks are kept as blocks and shared among participants. Each Block is examined, validated, and saved by the parties who are a part of the system/network, each brick is unique and contains the details of a single transaction as well as the transaction's hash key. The study offers insights to researchers about the opportunity threat and future use of blockchain in the public sector.

Session 5: Equipment Finance Credit Risk Modeling - A Case Study In Creative Model Development & Nimble Data Engineering, Edward Krueger, Landon Thompson, Josh Moore

SDSU Data Science Symposium

This presentation will focus first on providing an overview of Channel and the Risk Analytics team that performed this case study. Given that context, we’ll then dive into our approach for building the modeling development data set, techniques and tools used to develop and implement the model into a production environment, and some of the challenges faced upon launch. Then, the presentation will pivot to the data engineering pipeline. During this portion, we will explore the application process and what happens to the data we collect. This will include how we extract & store the data along with how it …

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

College of Graduate Studies: Theses & 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 …

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 …

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

Senior Honors Projects

No abstract provided.

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 …

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 …

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 …

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 …

Personal Data Privacy And Protective Federal Legislation: An Exploration Of Constituent Position On The Need For Legislation To Control Data Reliant Organizations Collecting And Monetizing Internet-Obtained Personal Data, Giovanni De Meo

Dissertations

In the past twenty years, the business of online personal data collection has grown at the same rapid pace as the internet itself, fostering a multibillion-dollar personal data collection and commercialization industry. Unlike many other large industries, there has been no major federal legislation enacted to monitor or control the activities of organizations dealing in this flourishing industry. The combination of these factors together with the lack of prior research encouraged this research designed to understand how much voters know about this topic and whether there is interest in seeing legislation enacted to protect individual personal data privacy.

To address …

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 …