Management Sciences and Quantitative Methods Commons^™

Made In The Usa: Technological Corporatism, Infrastructure Regulation, And Dupont 1902-1917, Roman Y. Shemakov

Swarthmore Undergraduate History Journal

The turn of the twentieth century radically renewed industrial organization across the United States. Early American corporations -- centralized manufacturing hubs with journeymen and apprentices laboring under one roof -- were seldom prepared for the transformations that scientific management and structural reorganization would bring to social relations. At the helm of World War 1, DuPont became the epitome of broader national restructuring. Through a close relationship with American military industries and legislatures, the DuPont brothers came to represent Business as an inseparable component of the State. While labor historiography has primarily focused on organizers’ relationship with regulators, important segments of …

A Predictive Analytics Model For Differentiating Between Transient Ischemic Attacks (Tia) And Its Mimics, Alia C. Stanciu, Mihai Banciu, Alireza Sadighi, Kyle A. Marshall, Neil Holland, Vida Abedi, Ramin Zand

Faculty Journal Articles

Transient ischemic attack (TIA) is a brief episode of neurological dysfunction resulting from cerebral ischemia not associated with permanent cerebral infarction. TIA is associated with high diagnostic errors because of the subjective nature of findings and the lack of clinical and imaging biomarkers. The goal of this study was to design and evaluate a novel multinomial classification model, based on a combination of feature selection mechanisms coupled with logistic regression, to predict the likelihood of TIA, TIA mimics, and minor stroke.

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

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of 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 of further impact. …

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

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts 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 further …

Shift-Share Analysis: West Virginia, 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: 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. …

Shopping Activity At Warehouse Club Stores And Its Competitive And Network-Density Implications, Stanley Frederick W.T. Lim, Elliot Rabinovich, Sungho Park, Minha Hwang

School of Business: Faculty Scholarship

Warehouse club (WC) retailers have typically expanded to new markets using stand‐alone stores, rather than pursuing dense store networks as other (non‐WC) retailers have in the past. While this strategy generates operating efficiencies, it also imposes high travel costs on households to shop, which calls into question WC stores’ resilience to spatial competition from stores operating other formats. We examine this phenomenon by using data on households’ shopping activity across markets served by Costco Wholesale stores. Specifically, we evaluate these stores’ resilience to spatial competition by estimating the share of households’ expenditures relative to travel costs to shop at the …

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 …

Understanding Effective Supervision And The Relationship Between Supervision Effectiveness And Education, Rachel S. Bernini

Social Work Doctoral Dissertations

Supervision is a function at the core of the social work profession. The goal of social work supervision is to provide practitioners with the needed support, oversight, and education so that practitioners can ultimately render efficient and effective services. Despite positive outcomes, little is empirically known about effective supervision and its relationship with educational background. Recognizing the lack of empirical evidence regarding effective supervision practices within the social work profession, this study examined the delivery of supervision within a large Pennsylvania human service organization delivering fee for service case management. Using the MCSS-26©, supervisees rated their experiences of supervision; then …

Does Extrinsic Motivation Affect Creativity Within Diverse Teams?, Gitanjali K. Viswanathan

Honors Theses

This study analyzes the relationship between extrinsic motivation and creativity in teams. The moderation effect of functionality, openness to experience, agreeableness, conscientiousness, and diversity within a team is also considered. A survey was constructed and distributed to students within Sections 1 and 6 of the course Principles of Management at The University of Mississippi. Survey data were collected from 77 respondents and used for hierarchical regression and moderation analysis. The results of this study do not support extrinsic motivation as a significant predictor of creativity. Functionality, agreeableness, and conscientiousness each demonstrate a separate, significant interaction effect with extrinsic motivation. However, …

College Credit Plus Influence On Bgsu College Of Business Students, Amanda Sahloff

Honors Projects

Bowling Green State University College of Business students who have taken over 30 credits of College Credit Plus in high school consistently take longer than the expected four years to graduate with a bachelors’ degree, and experience negative consequences in part due to their missing out on the important aspects and transformations of freshman year.

There are a lot of benefits to College Credit Plus (CCP). It is a standardized, growing program in Ohio schools that allows students to dual enroll in high school and college at the same time. However, due to past research opportunities and personal experiences, research …