Management Sciences and Quantitative Methods Commons^™

Shift-Share Analysis: Alabama, 2005 - 2018, Randall Jackson, Peter Jarosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …

Shift-Share Analysis: Pennsylvania, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …

Shift-Share Analysis: North Carolina, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …

Shift-Share Analysis: Georgia, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …

Shift-Share Analysis: Mississippi, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …

Shift-Share Analysis: Kentucky, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five p arts o f An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of …

Shift-Share Analysis: Maryland, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five p arts o f An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of …

Shift-Share Analysis: New York, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …

A Proposal Digital Marketing Strategy For Marcheluzzo Srl: Training And Evaluating A Prediction Model For The Number Of Adv. Impressions, Charles Alves De Castro

Articles

This research aims to describe a digital marketing strategy elaborated to be deployed in the MarcheluzzoSrl Company located in Italy. In addition, it intends to give a wide range of information to the company about its customers, target, competitors, market, digital marketing strategy, and potential recommendations. It is also important to highlight that this strategy is focused on the Brazilian market. Most of the information collected for the situational analysis and many other components for this research were gathered through the author`s perception during his internship in the company. The methodology includes secondary data collected through field observation in the …

Qlime-A Quadratic Local Interpretable Model-Agnostic Explanation Approach, Steven Bramhall, Hayley Horn, Michael Tieu, Nibhrat Lohia

SMU Data Science Review

In this paper, we introduce a proof of concept that addresses the assumption and limitation of linear local boundaries by Local Interpretable Model-Agnostic Explanations (LIME), a popular technique used to add interpretability and explainability to black box models. LIME is a versatile explainer capable of handling different types of data and models. At the local level, LIME creates a linear relationship for a given prediction through generated sample points to present feature importance. We redefine the linear relationships presented by LIME as quadratic relationships and expand its flexibility in non-linear cases and improve the accuracy of feature interpretations. We coin …

Shift-Share Analysis: Appalachian Region Micropolitan And Metropolitan Areas, 2005 – 2018 Part I. Regions 1 - 60, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five p a rts o f A n E c onomic A n alysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those …

Shift-Share Analysis: Appalachian Region Micropolitan And Metropolitan Areas, 2005 – 2018 Part Ii. Regions 61 - 120, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five p arts o f A n Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk …

Analyzing Local Alcohol Vendor Inventory Management Strategy, Angelo J. Amore

Senior Theses

This paper attempts to analyze how local alcohol vendors maintain their inventory throughout the year in Columbia, attempting to manage factors such as the season, sporting events, and other public gatherings and events. The research question resulted in contacting over 30 local alcohol vendors in Columbia, to ask them questions regarding their strategy in alcohol inventory management. The responses to these questions were then used to organize the vendors into groups by whether or not they utilize a reorder point to purchase/brew alcohol, or if they utilize periodic ordering. The vendors were also asked to rank the seasons from most …

Under Pressure: Decision Making In Aircraft Maintenance And The Role Of Gender, Stephanie Douglas Ph.D., Bettina M. Mrusek Ph.D.

National Training Aircraft Symposium (NTAS)

In aircraft maintenance, leaders are under near-constant pressure to maintain airworthiness. Every minute an aircraft cannot fly due to maintenance represents financial waste. Decisions are therefore made in a relatively quick fashion. A leader evaluates the situation, identifies a course of action and then communicates this message to a team of technicians. However, gender influences regarding leaders’ decisions can influence team members’ perceptions of those decisions.

The study will measure decision making methods of leaders in aircraft maintenance and the perceptions of the technicians. It informs how gender influences decision making from both the leader and follower perspective. The expected …

Shift-Share Analysis, Appalachian Counties, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five p a rts o f A n E c onomic A n alysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia. These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those …

The Tragedy And Reliability Of Zambian Trade Data, Dale Mudenda, Maio Bulawayo, Manenga Ndulo

Zambia Social Science Journal

Trade is an essential engine of growth and poverty reduction. Yet trade data suffers from poor quality and inconsistencies. There are several reasons for this: trade data is collected with little coordination between the reporting agencies and the central statistical offices, inadequate resources located to the data gathering agencies undermines archival process of good data, normal statistical errors of measurement and observation, and various complexities associated with international trade such as trade misinvoicing. This study explored the poor quality and inconsistencies in Zambian trade data which might render efforts at policy formulation to boost intra-regional trade and resolve issues of …

To Close The Skills Gap, Technology And Higher-Order Thinking Skills Must Go Hand In Hand, Manying Qiu, Yaquan Xu, Emmanuel O. Omojokun

Journal of International Technology and Information Management

Technology is rapidly changing the business landscape. Workforce skills gap is widening in the digital business environment. Universities and employers call for developing students’ higher-order thinking skills along with integrating technology into academic curricula. We conducted a survey to assess learning outcomes from two groups of undergraduate students: business majors and information technology (IT) majors. SAP ERP hands-on case studies were used for this comparative experiment. The student survey results showed that the students of both majors believed that learning SAP software can lead to more rewarding jobs and they felt confident about their competitiveness in the job market. Although …

An Exploration In Accountable Care Organization Structure, Contingency And Performance, 2015-2017, Siriporn P. Satjapot

Theses and Dissertations

The Patient Protection and Affordable Care Act of 2010 enacted one of the most significant reforms seen in the United States healthcare landscape. The Center for Medicare and Medicaid (CMS) led transformation efforts in regulatory reform and coverage expansion across the U.S. population. Since 2010, care delivery systems have been shifting from episodic, decentralized and fee-for-service models to value-based population health models, like accountable care organizations (ACO). ACOs have been specifically primed for local response to improve the health of their communities. ACO research has traditionally focused on performance measures like mortality, readmissions, quality outcomes and savings. ACO organizational characteristics …

Financial Development And Unemployment In Malaysia, Puong Hung Hii

Student Works (2020-2029)

In the past decades, the topic financial development and economic growth has been popularly discussed by scholars. From the past literature, financial development is an important component in promoting economic growth. However, there has been less study about the relationship of financial development and unemployment rate. Therefore, this study aims to investigate the relationship between the financial development and unemployment rate in the case of Malaysia from year 1981 until 2018. This study analyses the relationship by using two model equations to test separately the effect of each financial development indicators (Domestic Credit to Private Sector and Stock Market Capitalization) …

Government Debt And Economic Growth, Cai Xin Ng

Student Works (2020-2029)

The level of Malaysia government debt have been hiking in recent years which leads to controversies regarding the sustainability of the debt level. The question that borrowings will stimulate or inhibit the economy remains as an important issue to be addressed. This paper examines the impact of government debt on economic growth in Malaysia. Utilizing the macroeconomic data between 1970 and 2018, we first apply an autoregressive distributed lag (ARDL) framework to examine the relationship between government debt and economic growth. The short term and long term relationship as well as cointegrating relationship between government debt and economic growth were …

Behavioral Agent-Based Framework For Interacting Financial Markets, Heba M. Ezzat Dr.

Business Administration

Purpose – This paper aims at developing a behavioral agent-based model for interacting financial markets. Additionally, the effect of imposing Tobin taxes on market dynamics is explored. Design/methodology/approach – The agent-based approach is followed to capture the highly complex, dynamic nature of financial markets. The model represents the interaction between two different financial markets located in two countries. The artificial markets are populated with heterogeneous, boundedly rational agents. There are two types of agents populating the markets; market makers and traders. Each time step, traders decide on which market to participate in and which trading strategy to follow. Traders can …

How Your I-O Psychology Training Has Prepared You Handle The Big, Complex, And Scary World Of Data Analytics, Shawn M. Bergman

River Cities Industrial and Organizational Psychology Conference

Organizations, looking for new ways to collect and harness big data, are scouring the Internet in search of untapped outlets of information about job applicants and are using analytics on their internal big data generated by internal HRIS and processes. Despite being experts in organizational systems, quantitative and research methodologies, human behavior, and organizational change, human resource professionals are often intimidated by big data and analytics and are left out of critical analytic business planning, implementation, and evaluation conversations. While it is undeniable that technology has the capability to enhance human resource decision-making, the strong emphasis on technology also highlights …

A Data Mining Approach To Building A Predictive Model Of Low-Cost Carriers' Presence In The U.S. Domestic Routes, Canh Nguyen, John E. Deaton, Nurettin Dinler

International Journal of Aviation, Aeronautics, and Aerospace

The purpose of the study was to build the predictive model of the presence of U.S. low-cost carriers (LCCs) in the domestic network structure. SEMMA (Sample, Explore, Modify, Model, and Assess) schematic in data mining was followed and employed as the primary methodological procedure. Data in the period of 1Q2016-1Q2018 were extracted from the Bureau of Transportation Statistics (DB1B database) and reconstructed to form predictors. Stepwise logistic regression showed a significant predictive performance compared to decision tree technique in terms of fitting measures, which was then used as the concluding model. Significant predictors included: (1) Market concentration positively related with …

Big-Data Talent Analytics In The Public Sector: A Promotion And Firing Model Of Employees At Federal Agencies, Rabih Neouchi

Operations Research and Engineering Management Theses and Dissertations

Talent analytics is a relatively new area of focus to researchers working in analytics and data science. Talent Analytics has the potential to help companies make many informed critical decisions around talent acquisition, promotion and retention. This work investigates data science to predict “shiny star” employees in the U.S. public sector, defined as top-notch performers over the years of a given time span. Its scope falls within talent analytics, also called people analytics, a relatively new research area.

We clean a data set made available by the U.S. Office of Personnel Management (OPM) and present two models to predict the …

Graphicacy For Numeracy: Review Of Fundamentals Of Data Visualization: A Primer On Making Informative And Compelling Figures By Claus O. Wilke (2019), Christy M. Bebeau

Numeracy

Wilke, Claus O. 2019. Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures. (Sebastopol, CA: O’Reilly Media, Inc.). 390 pp. ISBN 978-1-492-03108-6. First edition. First release: 03-15-2019.

Claus O. Wilke has authored an excellent reference about producing and understanding static figures, figures used online, in print, and for presentations. His book is neither a statistics nor programming text, but familiarity with basic statistical concepts is helpful. Written in three parts, the book presents both the math and artistic design aspects of telling a story through figures. Wilke makes extensive use of examples, labels them good, bad, …

Sample Syllabus For Teaching Online Database Modeling And Management, Joshua Moritz

Open Educational Resources

Students learn the basics of database modeling and managements as well as the analytical techniques and tools used to assess, enhance, and profit from customer-relationship management. The course reviews database technology, organization and planning including technology needs and outsourcing considerations; sampling techniques such as nth selects and frozen files; creating powerful predictor variables such as univariate and cross tabulations, ratios, time series variables, and other measures. The course also covers predicting customer actions by using multiple linear regression and correlation to model response, payment, attrition, churn, and other factors that assist in segmentation. Students also learn how to combine prospect …

Determinants Of Cloud Computing Intentions To Use: Role Of Firm’S Size, Managerial Structure And Industrial Sector, Shailja Tripathi

Journal of International Technology and Information Management

Currently many companies are adopting cloud computing to accomplish their diverse purposes and to create an elastic and responsive environment that can rapidly respond to new business requirements. This paper attempts to investigate the factors influencing cloud computing adoption from the managerial perspective with inclusion of size of firm, organizational structure and type of industry as control variables. The model is developed with various technological, economic and cognitive factors that affect the behavioral intention to use cloud computing using technology acceptance model (TAM).Questionnaires were randomly distributed to around 1000 senior managers of various firms in India. Hierarchical multiple regression (HMR) …

Executive Leadership Challenges In Today’S Environment, Herbert J. Degraffe Jr.

Walden Faculty and Staff Publications

Abstract

Individuals in top management positions often have conflicting interpretations concerning the authoritative qualities that align with the intrinsic and external relations of an organization. Although, researchers may still debate about the extent to which athletic development personality factors are important internal components of an individual. The purpose of this correlational study was to determine if athletic development personality factors correlate with decision making at the executive leadership level. The research questions focused on determining if there was a relationship between athletic development personality factors and decision making. Social exchange theory, social representations theory, and leadership theories comprised the theoretical …

Improving Vix Futures Forecasts Using Machine Learning Methods, James Hosker, Slobodan Djurdjevic, Hieu Nguyen, Robert Slater

SMU Data Science Review

The problem of forecasting market volatility is a difficult task for most fund managers. Volatility forecasts are used for risk management, alpha (risk) trading, and the reduction of trading friction. Improving the forecasts of future market volatility assists fund managers in adding or reducing risk in their portfolios as well as in increasing hedges to protect their portfolios in anticipation of a market sell-off event. Our analysis compares three existing financial models that forecast future market volatility using the Chicago Board Options Exchange Volatility Index (VIX) to six machine/deep learning supervised regression methods. This analysis determines which models provide best …

A Model For Better Social Project Management, Brenda Massetti

Journal of Vincentian Social Action

With environmental degradation and other social ills on the rise, demand for businesses to perform social action is growing (Robertson, 2014). Yet, most Commercial enterprises take a diminutive view of social projects, and many Social enterprises flounder in the harsh realities of commerce (Austin, Stevenson, and Wei-Killern, 2012). To improve all enterprises’ social performance, the paper introduces the Social Project Grid, a dual-factor assessment tool which prioritizes social projects for better managerial oversight. In specific, it compares social projects on their Resource Use and Outcome Clarity to highlight which projects are successful and which are in trouble. Not only is …