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 …

Profitabilitas Unit Usaha Syariah : Menuju Perbankan Syariah Yang Berkualitas, Myrna Anggarani

Journal of Middle East and Islamic Studies

Abstract

This study examines and analyzes the effect of financing on the profitability of the Sharia Business Unit. The purpose of this study is to find out how the influence of financing by the Sharia Business Unit to the profitability of Islamic banking is proxied by the ratio Return on Assets (ROA), and Return On Equity (ROE). In addition, this study also analyzes the effect of financing to Non-Performing Financing (NPF).This study uses data in Sharia Banking Statistics from 2015 to 2019. There are 20 banks of Sharia Business Units. The data used in this study are secondary data which …

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 …

Stock Prediction Using Natural Language Processing Sentiment Analysis On News Headlines During Covid-19, Mina Ibrahim

Theses and Dissertations

Stock prediction based on NLP sentiment analysis is one of the most researched topics due to the revenues they generate for investors. Researchers have used various tools to achieve this, especially fundamental and technical analysis based on historical data helped to achieve this target. Due to the technological advancement and abundance of data, the introduction of machine learning tools accelerated that approach. However, as the public mood affects the stock market, the need for another analysis emerged. Natural language processing sentiment analysis on data from various sources was able to capture public events and moods. NLP is one of the …

Stock Markets Performance During A Pandemic: How Contagious Is Covid-19?, Yara Abushahba

Theses and Dissertations

Background and Motivation: The coronavirus (“COVID-19”) pandemic, the subsequent policies and lockdowns have unarguably led to an unprecedented fluid circumstance worldwide. The panic and fluctuations in the stock markets were unparalleled. It is inarguable that real-time availability of news and social media platforms like Twitter played a vital role in driving the investors’ sentiment during such global shock.

Purpose:The purpose of this thesis is to study how the investor sentiment in relation to COVID-19 pandemic influenced stock markets globally and how stock markets globally are integrated and contagious. We analyze COVID-19 sentiment through the Twitter posts and investigate its …

Impact Of Pandemic And Digital Transformation On Global Accounting Profession, Kamala Raghavan

Journal of Global Awareness

The COVID-19 pandemic made 2020 the most difficult and challenging year in ways that no one could have predicted, causing major disruptions with unprecedented changes affecting worldwide economies. Its impact has been multidimensional at the personal, organizational, and societal levels. Organizations in all sectors have been focusing on their immediate survival only. World economic output had the most significant drop in over 75 years and affected people's daily routines in almost every country. However, the same disruptive forces of the pandemic accelerated the digital transformation and innovation, causing business practices in the accounting profession to leapfrog decades ahead. This paper …

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. …

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 …

It Usage In Auditing And The Impact Of Covid-19, Olivia Beechem

Undergraduate Theses

The COVID-19 pandemic has drastically changed the world as we know it, and the audit field is no exception. The transition for a majority of public accounting firms and their clients to remote work amidst a global pandemic sparked my interest in the already rapidly evolving field of audit IT usage, which continually affects audit quality and efficiency. My research expands on existing studies completed on this topic prior to COVID-19 and includes three main research objectives. First, my research examines the usage and perceived importance of common types of IT audit applications, such as CAATs and data analytics, as …

Accounting Implications Derived From Consumer Big Data, Benjamin E. Boehrns

Honors Thesis

Consumer big data is changing the traditional framework of business by providing an unprecedented amount of information regarding consumer behaviors. Technological advances of the twenty-first century have enabled businesses to collect these behaviors within automated processes. The ease of data creation has led to companies creating, storing, and analyzing voluminous subsets of data in order to achieve a higher degree of competitive advantage. These datasets not only derive value from the physical information technology systems that provides the storage and the ability of analysis, but also contains an intrinsic value that is rarely captured within traditional accounting methods. The unique …

Bitcoin: The Pioneer Of Cryptocurrency With A Limited Dream, Anna M. Gellerman, Benjamin Zheng

Publications and Research

BitCoin is the most well known and adaptable cryptocurrency today. Due to the evolvement of the cryptocurrency market, many are thinking what this could mean for society; is the world ready for a new mainstream medium of exchange? This poster argues that although BitCoin is functional for small scale payments, it is inadaptable to become a payment tool comparable to cash and card.

Alumnus Leads Data Tech Firm That Helps Hospitals Curb Costs

Business Exchange

A profile of Dan Michelson (MBA ’94), who celebrates his ninth year as CEO of Chicago-based Strata Decision Technology, about his work, his career path, and his passion projects.

Price Elasticity Of Demand In The Market For Governance In Businesses Location Decisions In Oecd Nations From 2015-2019, Luke Kendall

Senior Honors Theses

This study proposes a framework of viewing the competition between governments to attract businesses into their jurisdiction as a competitive market. Literature is reviewed on the market forces and incentives of businesses and governments in location decisions. A possible gap in the literature of quantifying the price elasticity of competition between national governments for business activity is identified. OECD data is analyzed using equations supported by literature and results are evaluated to better understand the elasticity of international location decisions. The results of this study indicate that elasticity varies widely between countries, and countries with smaller economies may face more …

What Were The Factors That Led To The Gamestop Short Squeeze?, Riley Burnette

Information Systems Undergraduate Honors Theses

The world of finance is rapidly evolving - for better or for worse. The introduction of social media in sentimental stock market trading, and new brokerage apps, combined with the new resurgence of retail investors, has led to some interesting results. These new factors in the stock market have challenged the status quo of the stock market. A group of retail investors has led this change on a Reddit forum known as /r/WallStreetBets

In early January 2021, a group of retail investors collaborated a short squeeze on GameStop stock, creating an attack against the hedge funds on a popular Reddit …

Risk_Dash, A Python Framework To Model Portfolio Risk, Alexander Van Oene

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

While there are many Python packages that provide ways to do data analysis, in fact the package utilizes pandas, numpy, and scipy heavily, there are few that apply and handle common tasks that analysts face in quantifying market risk. pyfolio is one of those packages, however it forces you to utilize their infrastructure package Zipline where as risk_dash aims to provide a framework to formalize the data flow while being totally customizable for the analyst. risk_dash is comprised of classes and methods to handle the data flow and calculation of market risk metrics at the asset and portfolio level. In …

Wonderfully Made In The Making: A Strategic Recommendation For Growth Opportunities, Kayley Scott

Theses/Capstones/Creative Projects

I was partnered with a local non-profit organization, called Wonderfully Made, to identify and solve a strategic problem they are experiencing. Wonderfully Made is focused on serving girls of color with special needs. I analyzed internal resources and weaknesses and I researched external factors that affect them. I found that Wonderfully Made needed to explore growth opportunities through a strategic alliance with a college organization, ideally an NPHC sorority at UNO. This would create a mentorship opportunity for the participants in the organization. It would also create growth with minimal time and resources needed from Wonderfully Made’s busy board. If …

A Sweet Future For Sugar Makery: A Deeper Dive Into Small Business Consulting, Samuel Lauritsen

Theses/Capstones/Creative Projects

This case study investigates a local candy store in Glenwood and Council Bluffs Iowa. Processes, consistency and concise planning promoted the rapid growth of Sugar Makery into two locations in three short years. Results from the analyses indicate that the main problem facing Sugar Makery is sustaining its differentiated strategy from new industry entrants, key recommendations to sustain its success are presented. Every company has its own strengths, weaknesses, opportunities, and threats. The key is identifying each to be able to capitalize on competitive advantages, mitigate the damage done by weaknesses, take advantage of opportunities and create plans to avoid …

Equitable Distribution Of Covid-19 Vaccines: Can Data Visualization And Optimization Help?, Zhennan Wang

Honors College Theses

Coronavirus disease (Covid-19) is known as an infectious disease that has a bigger impact on urban areas with high-density populations. In New York City, however, there are huge differences in the impacts of Covid-19 at the neighborhood level. In addition, there is a negative correlation between the Covid Case Rate and the Vaccination Rate, and areas that are affected the most have poor socio-economic conditions. To better address the equitable distribution of Covid-19 vaccines, I collected social and economic data from Community Health Profiles as well as Covid-19 data from NYC Health. Using this data I created visualizations in Tableau …

Firm-Level Analysis Of The Tax Cuts And Jobs Act On Capital Expenditures, Mason Westphal

Accounting Undergraduate Honors Theses

This study investigates the firm-level consequences to capital expenditure levels from the passing of the Tax Cuts and Jobs Act of 2017 (TCJA). It theorized that favorable tax provisions in the TCJA would cause firms to increase their levels of capital expenditures. To test this hypothesis, the study analyzed the capital expenditure levels of public firms from 1986-2019 controlling for factors such as national gross domestic product (GDP) growth and used a dummy variable of reporting periods after 2018 to represent the effects of the TCJA. In contrast to the original hypothesis, the results demonstrate that the TCJA had a …

Overcoming The Challenges Of Big Data Analytics Adoption For Small And Medium Sized Enterprises In The Manufacturing Industry, Jolon Koppmann

Electronic Theses, Projects, and Dissertations

Advanced manufacturing technologies that enable big data analytics can boost productivity, increase efficiency, and enhance innovation. However, small and medium sized factories face unique challenges when implementing that technology. Plant managers of small and medium sized enterprises (SMEs) are often unsure of how to overcome those challenges in order to reap the benefits of big data analytics. This project examined the opportunities that have arisen due to the Fourth Industrial Revolution, also known as Industry 4.0; how small and medium sized manufacturers in the United States can move from traditional methods of manufacturing to advanced manufacturing, and how the additional …

Arbor Day Foundation Tree Programs Recommendations Report, Lane Knott, Mary Morton, Peyton Walker, Haley Faust, Kyler Caverzagie, Alex Sanchez

Honors Program: Senior Projects (Public)

Executive Summary

Project Description

We explored ways for the Arbor Day Foundation (ADF) to increase the value proposition for Tree Cities and Tree Campuses through application addendums and existing organizations.

Recommendation

We propose including an addition to the Tree City application for a grant awarded to Tree Cities that plant trees in underserved areas of the community.

We also recommend inviting Tree Campus to join the Alliance for Community Trees (ACT). Through membership, they will attend and participate in the Partners in Community Forestry Conference.

Rationale

The Tree City program is being under-utilized in connecting resources with communities. ADF can …

Uri And Its Students: A Contract For The Provision Of A Safe Environment, Danielle Joan Beatrice

Senior Honors Projects

DANIELLE BEATRICE (English; Philosophy; Business) URI and Its Students: A Contract for the Provision of a Safe Environment

Sponsor: Judith Swift (Communication Studies, Coastal Institute)

When students begin to attend college, they expect to be consumed with busy schedules, heavy workloads, and an exciting social life. Students do not anticipate being in dangerous situations. However, this does not mean that such situations do not occur. Therefore, it is essential to teach students to be active participants in educating themselves and their peers regarding prevention and response to emergency situations. My Honors Project aims to increase the awareness of safety-related issues …

Integrating Systems, Processes, And Human Judgment: Three Essays On Value Creation With Supply Chain Analytics, Rebekah Inez Brau

Graduate Theses and Dissertations

Big-data, analytics, automation, and machine learning are changing the role of managers in supply chain and operations functions. Extant research indicates that effective value creation by analytics is achieved through careful attention to three components: technology, people, and processes. As such, the purpose of my dissertation is to improve the integration of people in current supply chain and operations management systems with ever-changing technologies and processes. I focus on one critical function—demand planning—since it is increasingly influenced by predictive analytics yet can still require human judgment. My dissertation is comprised of three essays as follow.

In Essay 1, I implement …

The Impact Of Artificial Intelligence In The Customer Journey: A Case Study Of Bosch Usa And Defy South Africa, Tariro S. Munyengeterwa

Electronic Theses and Dissertations

Artificial intelligence (AI) continues to gain traction and is increasingly reshaping the media and marketing communications field. While significant research has been conducted on the impact of AI in other fields, there is little empirical evidence on how AI is affecting the customer journey. The present study explored both organizations’ current use of AI tools and how customer perceptions about AI affect AI usage and adoption through the lens of diffusion of innovation theory. The research was conducted using mixed-method qualitative research. In-depth interviews and a case study content analysis were conducted to collect and analyze the data. The results …

A Comprehensive Evaluation Of Accounting: A Series Of Case Studies, Emma Acheson

Honors Theses

The following thesis is a compilation of the evaluation and solutions derived from a variety of case studies provided regarding a variation of accounting topics related to financial accounting. Each case presented in this thesis is accompanied by an analysis describing the valuable knowledge that was extracted from each unique study. Through these case studies, real-world accounting concepts can be observed in accordance with the Generally Accepted Accounting Principles as set by the Financial Accounting Standards Board. In addition to the analyses of these case studies, the completion of this thesis involved participation in two accounting case competitions. These presentations …

Fundamental Principles Of Accounting: A Series Of Case Analyses, Bridget Mcmillan

Honors Theses

Over the past four years at the University of Mississippi, I acquired knowledge about the accounting profession and the application of accounting principles that have arisen throughout the evolution of modern professional accounting. For the thesis requirement in accordance with the standards set by the Patterson School of Accountancy and the Sally McDonnell Barksdale Honors College, I completed a series of case studies covering a variety of topics related to the study of accounting. Under the direction of Victoria Dickinson, I completed these cases over the 2019-2020 academic year. Each case introduces a unique topic and presents findings about various …

Exploring Customer Relationship Management In Two Private Hospitals In Kuwait, Yassmin Diab

BAU Journal - Health and Wellbeing

The private hospital industry in Kuwait is an important contributor in the economy of the country. There has been a major increase in the number of private hospitals and clinics in the past four years, and more hospitals are launching new services in the private healthcare sector. In order to succeed in this sector, it is important for an organization to focus on Customer Relationship Management (CRM) for thriving in the competitive market. A customer relationship management strategy is believed to give a competitive edge to hospitals, as customers nowadays make their decisions based on the type and strength of …

A Comparative Analysis Of Bohemian And Irish Immigration During The Antebellum Period, Emily Suchan

Honors Projects

Compare and Contrast the immigration experience of an Irish and Bohemian (Czech) immigrant. This essay describes the history of both regions and analyzes the political and economic stressors for immigration during the second half of the nineteenth century. This essay specifically follows the Irish Famine immigrants and the Czechs who settled in Cleveland, OH

A Site Suitability Analysis Of A Book Store/Coffee Shop In Seattle, Washington, Hannah Paul, Jennifer Hahn

ONU Student Research Colloquium

This research presents the utility of a Site Suitability Analysis to help determine the viability of a business venture in a particular location. Specifically, we present the results of a case study that focuses on the area immediately around Seattle, WA as providing a sufficient number of customers to warrant a new and sustainable used book store/ coffee shop. Site Suitability Analysis provides a variety of statistical and analytical methods of analysis, which is commonly used in market research. This research presents the results of some of these methods, as applied to commonly-used datasets, and concludes that Site Suitability Analysis …