Social Justice, Numeracy, And Teaching Statistics At A Community College, 2019 Queensborough Community College/CUNY
Social Justice, Numeracy, And Teaching Statistics At A Community College, Edward Volchok
The author of this article reflects on the issues of justice, democracy, and numeracy. As one who has taught statistics in a community college for over 12 years, spent 28 years as a Marketing Consultant, and holds a PhD in political science, the author’s thesis is that while an advanced, democratic society can only be just with a numerate citizenry, fostering numeracy is not easy. In this article the author describes the daunting tasks of trying to define what justice is and reviews activities from his statistics class that help students develop their numeracy.
Exploring Critical Success Factors For Data Integration And Decision-Making In Law Enforcement, 2019 Capitol Technology University
Exploring Critical Success Factors For Data Integration And Decision-Making In Law Enforcement, Marquay Edmondson, Walter R. Mccollum, Mary-Margaret Chantre, Gregory Campbell
International Journal of Applied Management and Technology
Agencies from various disciplines supporting law enforcement functions and processes have integrated, shared, and communicated data through ad hoc methods to address crime, terrorism, and many other threats in the United States. Data integration in law enforcement plays a critical role in the technical, business, and intelligence processes created by users to combine data from various sources and domains to transform them into valuable information. The purpose of this qualitative phenomenological study was to explore the current conditions of data integration frameworks through user and system interactions among law enforcement organizational processes. Further exploration of critical success factors used to ...
Machine Learning The Harness Track: A Temporal Investigation Of Race History On Prediction, 2018 University of Texas at Tyler
Machine Learning The Harness Track: A Temporal Investigation Of Race History On Prediction, Robert P. Schumaker
Journal of International Technology and Information Management
Machine learning techniques have shown their usefulness in accurately predicting greyhound races. Many of the studies within this domain focus on two things; win-only wagers and using a very particular combination of race history. Our study investigates altering these properties and studying the results. In particular we found a race history combination that optimizes our S&C Racing system’s predictions on seven different wager types. From this, S&C Racing posted an impressive 50.44% accuracy in selecting winning wagers with a payout of $609.34 and a betting return of $10.06 per dollar wagered.
Crude Oil Prices Forecasting: Time Series Vs. Svr Models, 2018 Fairfield University
Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He
Journal of International Technology and Information Management
This research explores the weekly crude oil price data from U.S. Energy Information Administration over the time period 2009 - 2017 to test the forecasting accuracy by comparing time series models such as simple exponential smoothing (SES), moving average (MA), and autoregressive integrated moving average (ARIMA) against machine learning support vector regression (SVR) models. The main purpose of this research is to determine which model provides the best forecasting results for crude oil prices in light of the importance of crude oil price forecasting and its implications to the economy. While SVR is often considered the best forecasting model in ...
Using Sas™ Software To Enhance Pedagogy For Text Mining And Sentiment Analysis Using Social Media (Twitter™) Data, Ramesh Subramanian, Danielle Cote
Journal of International Technology and Information Management
This pedagogical paper describes how a graduate course in Text Mining was developed and taught in a fully online format at Quinnipiac University. The software used was SAS™ Enterprise Miner. This paper discusses the design, software used and the methodology followed in the course. A critical component of the course required the students to delve deep into social media data by completing a detailed project on analyzing sentiment analysis using large files of social media data. A sample report of this project, which was a key deliverable for the course, is described at length in this paper.
The State Of The Video Game Industry And Potential Implications Of Current Business Practices, 2018 South Georgia State College
The State Of The Video Game Industry And Potential Implications Of Current Business Practices, Stephen Friend
Georgia Undergraduate Research Conference (GURC)
The State of the Video Game Industry and Potential Implications of Current Business Practices
Stephen J. Friend - Stephenfri89@gmail.com
Student at South Georgia State University
This study aims to highlight the state of the video game industry by examining “AAA” (triple A) development studios and publishing companies and their business structure along with their implementation of microtransactions and other monetary schemes. The fiscal returnings and statistic quarterly updates provided by GameIndustry.biz, GameRant, and Newzoo show companies such as Ubisoft and Electronic Arts(EA) are making more than 51% of their annual income from microtransactions. In conjunction, the ...
Analysis Of Stock Price Movement Following Financial News Article Release, 2018 University of Texas at Tyler
Analysis Of Stock Price Movement Following Financial News Article Release, Robert P. Schumaker, Nick Maida
Communications of the IIMA
What effect does a financial news article have on stock price? To answer this question we investigate stock price movements within the minutes following financial news releases, broken down by media outlet, time of release and article sentiment. Our data shown a Sharpe ratio (a measure for calculating risk-adjusted return) of 1.18 versus a random dataset of ‑0.06, indicating significant price movement immediately following article release. Second, we found that articles released through WSJ, Reuters – UK Focus, NYT and FT all experienced significant positive returns, whereas articles in Barrons, MarketWatch, Forbes and Bloomberg experienced significant negative returns. Third ...
Optimizing Strategic Sourcing In The Healthcare Supply Chain With Consideration Of Physician Preference And Vendor Scorecards, 2018 University of Missouri, St. Louis
Optimizing Strategic Sourcing In The Healthcare Supply Chain With Consideration Of Physician Preference And Vendor Scorecards, Parimal Kulkarni
This research focuses on the design of a procurement model for expensive medical supplies in a healthcare supply chain. A deterministic optimization model generates recommendations for optimal purchases of products in a given planning period. The model combines common concepts of supply chain procurement such as leveraging tiered pricing, ensuring supply base diversity with phenomena unique to healthcare supply chain such as consideration of physician preference for products. The deterministic optimization model minimizes total spend over a chosen planning period with consideration of four key decision parameters:
- Physician preference requirements (which are imposed as rules on product substitutability),
- Upper limits ...
Statistical Analysis, Data Visualization, And Business Intelligence Tools For Electronic Resources In Academic Libraries, Cheng Cheng, Tracy J. Gilmore, Colleen Lougen, Connie Stovall
Charleston Library Conference
Analytics, business intelligence, and data visualization have an increasingly important space in the changing assessment landscape of academic libraries. Today, most academic libraries are spending a significant amount of their total expenditure budget on electronic resources. While they are high-value assets for modern libraries, the expensive annual subscription cost and continuing price increases of e-resources also make them a substantial budgeting burden. It is therefore essential to have a clear statistical view of the trends and patterns in price changes for e-resources and vendors. This paper focuses on three major topics vital for developing such a view: first, the e-resources ...
Yelp’S Review Filtering Algorithm, 2018 Southern Methodist University
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
SMU Data Science Review
In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that ...
Information Seeking Behavior Of Research Scholars At Muet Library & Online Information Center, Jamshoro: A Study, Liaquat Ali Rahoo Mr, Muhammad Ali Khan Nagar, Maryam Kalhoro, Qurat-Ul-Ain Abro, Shadab Kalhoro
Library Philosophy and Practice (e-journal)
The aim of this paper was to study the behavior of the information seeking by the researcher scholars of the at Mehran University of Engineering & Technology, Jamshoro, Sindh Pakistan. The overall purpose of the research study was to find out the awareness and information requirements by the researcher for the research purposes which were provided by the Higher education commission digital library. The data was collected from 230 researchers with the help of questionnaire through the Google online form. Data was analyzed in SPSS software. Research findings were majority of researchers were use electronics resources, text books and reference books ...
Consumer Welfare And Price Discrimination: A Fine Line, 2018 Southern Methodist University
Consumer Welfare And Price Discrimination: A Fine Line, Marie Wallmark, Eyal Greenberg, Dan Engels
SMU Data Science Review
Traditionally, it was not feasible for businesses to determine the maximum price the buyer was willing to pay, but with the availability of big data and the deployment of sophisticated algorithms, with a great degree of precision businesses can ascertain the maximum willingness price. Some forms of price discrimination are prohibited under the Robinson-Patman Act of Antitrust (1890), provided demographic characteristics such as race and gender are the determining factors. The problem with this interpretation is that sellers are not transparent about what factors are taken into consideration when determining price. Current laws are either limited in their interpretation or ...
How Has The Food Industry Manipulated The Way Consumers Perceive Food And Health?, 2018 Honors College, Pace University
How Has The Food Industry Manipulated The Way Consumers Perceive Food And Health?, Angelina Garavente
Honors College Theses
Food is the most advertised commodity in the United States and food corporations spend on average over $36 billion a year on marketing and advertising (Albritton 172). Seventy percent of total advertising goes to market convenience foods, candy, snacks, soft drinks, desserts and alcohol (Albritton 172). As a result of the wide range of marketing on an even wider range of products, consumers have been taught to feel they have a considerable amount of choice. Ironically despite the array of brand-name commodities that give off this impression, only a few giant corporations control much of what is being offered.
Improving Shewhart Control Chart Performance In The Presence Of Measurement Error Using Multiple Measurements And Two-Stage Sampling, 2018 Auburn University Montgomery
Improving Shewhart Control Chart Performance In The Presence Of Measurement Error Using Multiple Measurements And Two-Stage Sampling, Kenneth W. Linna
Journal of International & Interdisciplinary Business Research
The usual Shewhart control chart efficiently detects large shifts in the mean of a quality characteristic and has been extensively studied in the literature. Most proposed alternatives to the Shewhart chart aim to improve either the signal performance for smaller mean shifts or reduce the sampling effort required to detect a larger shift. Measurement error has been shown in the literature to result in reduced power to detect process shifts. The combination of multiple measurements and two-stage sampling is considered here as a strategy for both regaining power lost due to measurement error and specifically tuning the charts for shifts ...
Delegation Application, 2018 California Polytechnic State University, San Luis Obispo
Delegation Application, Erik Matthew Phillips
Delegation is a cross-platform application to provide smart task distribution to users. In a team environment, the assignment of tasks can be tedious and difficult for management or for users needing to discover a starting place for where to begin with accomplishing tasks. Within a specific team, members possess individual skills within different areas of the team’s responsibilities and specialties, and certain members will be better suited to tackle specific tasks. This project provides a solution, consisting of a smart cross-platform application that allows for teams and individuals to quickly coordinate and delegate tasks assigned to them.
Innovation, Culture And The Path To Postmodernism: Finland Vs. Denmark, 2018 College of Saint Benedict and Saint John's University
Innovation, Culture And The Path To Postmodernism: Finland Vs. Denmark, Jayme Harlander
All College Thesis Program, 2016-present
The purpose of this study is to explore the concept of postmodernism as it applies to the innovative process as carried out in the 21st century. In doing so, this study compares and contrasts two countries within a region of the world with differing innovative capacities and then link these differences to their different engagements with the forces that characterize what scholars have terms “postmodernism”. From this study we find that countries that are more closely engaged with these postmodernist forces thrive as 21st century innovators; those that are less engaged –i.e., have trouble transitioning from the old “modernist ...
2018 May Parkview Signature Care Thought Leader Forum, 2018 Parkview Health
2018 May Parkview Signature Care Thought Leader Forum, Jeanne Wickens, Sue Ehinger Phd, Jolynn Suko
Presentations and Events
No abstract provided.
The Influence Of Emotional Intelligence And Personality Traits On Effective Leadership, 2018 University of Texas at Tyler
The Influence Of Emotional Intelligence And Personality Traits On Effective Leadership, Joy N. Cooper
Human Resource Development Theses and Dissertations
Ineffective leadership contributes to the majority of organizational problems and business failures. The negative effects of poor leadership in the health services arena is a prominent issue in today’s health services workforce, and is exacerbated by the challenges posed by the Affordable Healthcare Act of 2012. This study investigates the effects of emotional intelligence (EI) and personality traits (the Big Five), two variables commonly linked to effective leadership, within the context of healthcare.
This study examined the influence of EI and the Big Five personality traits on leadership effectiveness within a healthcare institution. The study assumed EI and the ...
Cultural Disparity And The Impact On Work Life Balance, 2018 University of South Carolina - Columbia
Cultural Disparity And The Impact On Work Life Balance, Bryan Campbell
This research examines the differences in work life balances between varying countries around the world. In order to do so, a proxy index was created by investigating a portion of questions from respondents of the World Values Survey. Comparing this to Hofstede's Insights on National Culture allowed for a unique perspective as to whether the country individualism ratings could then be used to assert a relationship between these metrics.
Pricing Policies For A Dual-Channel Retailer With Cross-Channel Returns, 2018 University of Windsor
Pricing Policies For A Dual-Channel Retailer With Cross-Channel Returns, Mohannad Hassan Radhi, Guoqing Zhang
Mechanical, Automotive & Materials Engineering Publications
Many retailers are adopting a dual-channel retailing strategy (DCRS) in which products are offered through two channels: physical stores and online stores. Due to regulations or competitive measures, such a strategy allows customers who find a purchase unsatisfactory to obtain a full refund through a same-channel return or a cross-channel return. No papers have collectively studied the aforementioned types of customer returns in a dual-channel context. This paper studies optimal pricing policies for a centralized and decentralized dual-channel retailer (DCR) with same- and cross-channel returns. How dual-channel pricing behavior is impacted by customer preference and rates of customer returns is ...