Business Intelligence Commons^™

Impact On Revenue Generation Of Olist Ecommerce Company On The Basis Of Various Product Parameters, Trupti Sanjay Niwate

Electronic Theses, Projects, and Dissertations

E-commerce business is the most trending business in the entire world. Due to the COVID-19 pandemic, the global market of e-commerce is much more active than the traditional in-store market. Over the period, people used the internet more, which has incentivized them to shop online because it saves time and effort.

Specifically, in Latin America, the E-Commerce business is expanding at a tremendous rate. In particular, Brazil is a major business hub when we consider an e-commerce business since it has given a major impact on the world‘s total e-commerce business. Olist, the main e-commerce company which helps other marketers …

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 …

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 …

Rise Of Facebook, Amazon, Apple, Netflix, Google During Covid-19 Pandemic, Shivraj Pisal

Electronic Theses, Projects, and Dissertations

FAANG is an acronym for Facebook, Apple, Amazon, Netflix, and Alphabet (which was previously known as Google), the five most important technology giants in the United States. The technology breakthroughs of these companies have had a significant impact on global economies, since they create jobs, link people, supply goods, and generate entertainment. As a result, a detailed analysis of FAANG stocks adds to the existing body of knowledge. Furthermore, because stock markets are very volatile and are influenced by a variety of known and unknown causes, it is vital to employ adequate tools for assessing their behavior (Jadhav et al., …

Multilevel Security Policy Implementation Using Owl Ontology, Ruting Bai

Electronic Theses, Projects, and Dissertations

This project is an experimental implementation of Multi-Level Security (MLS) lattice model by using semantic web technologies (OWL) to create and test Mandatory Access Control (MAC) with Bell-LaPadula (BLP) properties. Semantic web (web of data) is building on top of the World Wide Web (web of documents), aiming to make data machine-readable so that to improve data processing and management. OWL is a semantic web computational logic-base language which is designed to represent complex knowledge in semantic format. With the MLS ontology, we are able to define dominance relationship between variables within the lattice model and perform different queries to …

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 …

Contingency Planning Amidst A Pandemic, Natalie C. Belford

Journal of Cybersecurity Education, Research and Practice

Proper prior planning prevents pitifully poor performance: The purpose of this research is to address mitigation approaches - disaster recovery, contingency planning, and business continuity planning - and their benefits as they relate to university operations during a worldwide pandemic predicated by the novel coronavirus (COVID-19). The most relevant approach pertaining to the University’s needs and its response to the coronavirus pandemic will be determined and evaluated in detail.

Review Of Data Mining Techniques For Detecting Churners In The Telecommunication Industry, Mahmoud Ewieda, Mohamed Ismail Roushdy, Essam Shaaban

Future Computing and Informatics Journal

The telecommunication sector has been developed rapidly and with large amounts of data obtained as a result of increasing in the number of subscribers, modern techniques, data-based applications, and services. As well as better awareness of customer requirements and excellent quality that meets their satisfaction. This satisfaction raises rivalry between firms to maintain the quality of their services and upgrade them. These data can be helpfully extracted for analysis and used for predicting churners. Researchers around the world have conducted important research to understand the uses of Data mining (DM) that can be used to predict customers' churn. This …

College Of Business Dean's Report: 2020-2021, Ryan Butt

College of Business Dean’s Reports

No abstract provided.

Undoing Performance In Micro Finance Institutions: Reflections On Regulatory Framework In Kenya, Victor Mwendwa Muithya, Stephen Muathe Phd, Godfrey Kinyua Phd

The Journal of Entrepreneurial Finance

The performance of Micro Finance Institutions (MFIs) has been affected negatively by the current hypercompetitive economic environment which has been characterised by as unfair competition. Huge losses have been reported among MFIs in Kenya, this has forced MFIs to innovate differently; product, financial, organisational or market innovation. This has not yielded better results. The study sought to establish the moderating effect of the regulatory framework on the relationship between strategic innovation orientation and performance of MFIs using the case of Kenya. The indicators for the regulatory framework were; prudential guidelines, non-prudential guidelines, and government laws. A descriptive and explanatory research …

Lss4.0 - Creating Opportunities From Existing Limitations, Tanawadee Pongboonchai-Empl

International Conference on Lean Six Sigma

Abstract

Purpose: This research explores Lean Six Sigma (LSS) limitations identified in previous studies and underpins the need to integrate Lean Six Sigma with Industry 4.0. Furthermore, this paper presents a use case for an opportunity offered by data-driven tools.

Method/Approach: Expert Interviews were conducted with senior Lean Six Sigma practitioners and academics in Europe. The data were analysed using qualitative content analysis and NVivo software.

Findings: This paper reveals limitations experienced by practitioners and their causal relationships. Additionally, new limitations have emerged, reinforcing the urgency to inject data-driven technologies into the traditional LSS Framework. Associated with this is the …

Dynamics Of Physician Practice Management, Abass Ceesay

Masters Theses/Capstone Projects

This VoiceThread is a highlight of the major learning experiences of my practicum. The most talk about were the cancellations and no-show project, and mitigation strategies to combat canellation and no-shows.

Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification, Sarah Youssef

Theses and Dissertations

Stock market manipulation detection is important for both investors and regulators. Being able to detect stock manipulation and preventing it gives investors the confidence in the market fairness and integrity. It also helps maintaining liquidity of the stocks and market efficiency. Implementing data mining algorithms in manipulation detection is a relatively recent technique but in the past few years there has been an increasing interest in it's applications in this domain. The benefit of monitoring manipulative trade behavior is that it can be implemented on live feed of stock data, which saves a lot of time in detecting stock price …

A Method For Monitoring Operating Equipment Effectiveness With The Internet Of Things And Big Data, Carl D. Hays Iii

Master's Theses

The purpose of this paper was to use the Overall Equipment Effectiveness productivity formula in plant manufacturing and convert it to measuring productivity for forklifts. Productivity for a forklift was defined as being available and picking up and moving containers at port locations in Seattle and Alaska. This research uses performance measures in plant manufacturing and applies them to mobile equipment in order to establish the most effective means of analyzing reliability and productivity. Using the Internet of Things to collect data on fifteen forklift trucks in three different locations, this data was then analyzed over a six-month period to …

Inventory Locating With Quuppa: The Design And Development Of A Real-Time Process Monitoring Web Application Solution, Dylan C. Moreland, Trevor J. Howell, John W. Takiff, Patrick S. Dillon, Theo E. Fritz, William K. Mcintyre

Industrial and Manufacturing Engineering

Viasat, Inc. requires precise inventory tracking at their production facility in San Diego, CA. Viasat has installed the Quuppa indoor real-time locating system (RTLS), which it uses to track the real-time position of high-value work-in-process items. In its current state, the system only displays in-the-moment location information, with no available functionality for storing historical data for review, analysis, or visualization. In addition, the data displayed is noisy and prone to significant random error. This paper provides an overview of RTLS methods and technologies, assesses alternative solutions to Viasat’s issue, demonstrates our RTLS integrated web app solution, analyzes its impact, and …

Counterpoint: Laying The Groundwork For The First Geospatial Red Team, Rachel Parkin

Critical and Creative Thinking Capstones Collection

The goal of this synthesis has been to develop a set of principles or strategies to guide the establishment of a permanent red team within the National Geospatial-Intelligence Agency (NGA). Over the course of a decade spent working at NGA, I discovered a passion for analytic tradecraft and looking for ways I can push the agency toward a culture that allows critical and creative thinking to thrive. This paper combines my research about organizational culture and reflective narratives about events and observations that shaped my understanding of NGA’s current organizational culture. I identify significant blind spots in our organizational approach …

Enhanced Data Science Methods For Freight Optimization At Kelly-Moore Paints, Lance Dacy, Reannan Mcdaniel, Shawn Jung

SMU Data Science Review

Kelly-Moore Paints is a paint manufacturing company founded in San Carlos, California in 1946 by William Kelly and William Moore. It has stores located in California, Texas, Oklahoma, and Nevada. They currently own 11 42’ trailers, contract 4 distinct drivers, and service 44 stores Monday-Thursday from its Texas Distribution and Manufacturing Center in Hurst, TX. Given that transportation costs are typically the highest in the supply chain costs, this study will employ data science techniques to ensure the transportation routing, store ordering mechanism, and trailer utilization are at the best efficiency possible given the current ordering patters of the stores. …

Automated Analysis Of Rfps Using Natural Language Processing (Nlp) For The Technology Domain, Sterling Beason, William Hinton, Yousri A. Salamah, Jordan Salsman

SMU Data Science Review

Much progress has been made in text analysis, specifically within the statistical domain of Term Frequency (TF) and Inverse Document Frequency (IDF). However, there is much room for improvement especially within the area of discovering Emerging Trends. Emerging Trend Detection Systems (ETDS) depend on ingesting a collection of textual data and TF/IDF to identify new or up-trending topics within the Corpus. However, the tremendous rate of change and the amount of digital information presents a challenge that makes it almost impossible for a human expert to spot emerging trends without relying on an automated ETD system. Since the U.S. Government …

The Social Market Economy As A Formula For Peace, Prosperity, And Sustainability, Almuth D. Merkel

Doctor of International Conflict Management Dissertations

The social market economy was developed in Germany during the interwar period amidst political and economic turmoil. With clear demarcation lines differentiating it from socialism and laissez-faire capitalism, the social market economy became a formula for peace and prosperity for post WWII Germany. Since then, the success of the social market economy has inspired many other countries to adopt its principles. Drawing on evidence from economic history and the history of economic thought, this thesis first reviews the evolution of the fundamental principles that form the foundation of social-market economic thought. Blending the micro-economic utility maximization framework with traditional growth …

A Bibliometric Analysis Of Iso 9000 Research From 2015 To 2020 Using Vosviewer Application, Ilham I

Library Philosophy and Practice (e-journal)

This study aims to map scientific publications in the field of ISO 9000 visually at the global level indexed by scopus using bibliometric analysis. This study focused on articles of ISO 9000 at the international level. Research data were obtained from the Scopus database in Januari 2021 through the publish or perish software. All the discussions and analysis in this paper is based on the 46 papers consisting of 35 article, 4 conference papers, 3 reviews, 3 chapters and 1 book. Then the paper will be analyzed using the VOSviewer application for viewing and creating the desired bibliometric maps. In …