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Industry Spotlight: Medical Devices, Evan D. Poff 2019 Brigham Young University

Industry Spotlight: Medical Devices, Evan D. Poff

Marriott Student Review

Medical devices restore and even redefine health. This Industry Spotlight examines pre-market barriers, medtech business model quirks, current and future developments in the field, and the present-day move to value-based care in the medical device industry.


Improving Vix Futures Forecasts Using Machine Learning Methods, James Hosker, Slobodan Djurdjevic, Hieu Nguyen, Robert Slater 2019 Southern Methodist University

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 ...


An Examination Of The Stock Market's Effect On Economic Inequality, Nicholas Golina 2019 The University of Akron

An Examination Of The Stock Market's Effect On Economic Inequality, Nicholas Golina

Honors Research Projects

The economic literature on economic inequality has shown that it can negatively impact aggregate demand because it indicates a higher concentration of wealth in the hands of the top 10% as opposed to the poor and middle class, who are more likely to consume. The literature has identified many factors that can lead to increasing inequality. The stock market could be one of those factors since it can either create an upward redistributive effect towards the top 10% or redistributive effect towards the middle class. This paper tested the effect of the stock market on inequality. This study contributes to ...


Automated Trading Systems Statistical And Machine Learning Methods And Hardware Implementation: A Survey, Boming Huang, Yuziang Huan, Li Da Xu, Lirong Zheng, Zhuo Zou 2019 Old Dominion University

Automated Trading Systems Statistical And Machine Learning Methods And Hardware Implementation: A Survey, Boming Huang, Yuziang Huan, Li Da Xu, Lirong Zheng, Zhuo Zou

Information Technology & Decision Sciences Faculty Publications

Automated trading, which is also known as algorithmic trading, is a method of using a predesigned computer program to submit a large number of trading orders to an exchange. It is substantially a real-time decision-making system which is under the scope of Enterprise Information System (EIS). With the rapid development of telecommunication and computer technology, the mechanisms underlying automated trading systems have become increasingly diversified. Considerable effort has been exerted by both academia and trading firms towards mining potential factors that may generate significantly higher profits. In this paper, we review studies on trading systems built using various methods and ...


The Knowledge Application And Utilization Framework Applied To Defense Cots: A Research Synthesis For Outsourced Innovation, Michael Gravier, Timothy Hawkins 2019 Bryant University

The Knowledge Application And Utilization Framework Applied To Defense Cots: A Research Synthesis For Outsourced Innovation, Michael Gravier, Timothy Hawkins

Marketing Department Journal Articles

Purpose -- Militaries of developing nations face increasing budget pressures, high operations tempo, a blitzing pace of technology, and adversaries that often meet or beat government capabilities using commercial off-the-shelf (COTS) technologies. The adoption of COTS products into defense acquisitions has been offered to help meet these challenges by essentially outsourcing new product development and innovation. This research summarizes extant research to develop a framework for managing the innovative and knowledge flows. Design/Methodology/Approach – A literature review of 62 sources was conducted with the objectives of identifying antecedents (barriers and facilitators) and consequences of COTS adoption. Findings – The DoD COTS ...


Trends In Fashion Law: Striking The Proper Balance Between Protecting The Art Form And Sustaining A Thriving Online Market, Elisabeth Johnson 2018 Pepperdine University

Trends In Fashion Law: Striking The Proper Balance Between Protecting The Art Form And Sustaining A Thriving Online Market, Elisabeth Johnson

The Journal of Business, Entrepreneurship & the Law

No abstract provided.


Integrating Machine Learning In Law: A Precis Of Best Practices For Initial Law Firm Adoption, J. Mark Phillips 2018 Pepperdine University

Integrating Machine Learning In Law: A Precis Of Best Practices For Initial Law Firm Adoption, J. Mark Phillips

The Journal of Business, Entrepreneurship & the Law

Much of the mystery surrounding machine learning lays not just in how it functions, but in how it is applied. This is especially true in the field of law, where the implementation of artificial intelligence has lagged other fields. This précis distills best practices of machine learning implementation and applies them succinctly to the unique environment of law. Guiding principles and considerations are provided for the technology team, the nature of law firm data, and the commitment level of the adopting law firm.


The Infinite Legal Acumen Of An Artificial Mind: How Machine Learning Can Permanently Capture Legal Expertise And Optimize The Law Firm Pyramid, J. Mark Phillips 2018 Pepperdine University

The Infinite Legal Acumen Of An Artificial Mind: How Machine Learning Can Permanently Capture Legal Expertise And Optimize The Law Firm Pyramid, J. Mark Phillips

The Journal of Business, Entrepreneurship & the Law

As the legal industry gradually integrates artificial intelligence (AI) into its practice, the underlying technology continues to advance at a fever pitch. Machine learning platforms arguably represent the pinnacle of AI development, and this technology currently augments and replicates intelligent human tasks in ways never before conceived. The business applications of machine learning are bearing fruit across a spectrum of industries and professions. Yet despite machine learning’s demonstrated promise, its forays into the legal industry have been uneven. In fact, the most advanced forms of machine learning have been relegated primarily to lower-level attorney tasks such as e-discovery, due-diligence ...


Curb Your Enthusiasm: The Real Implications Of Blockchain In The Legal Industry, Justin Evans 2018 Pepperdine University

Curb Your Enthusiasm: The Real Implications Of Blockchain In The Legal Industry, Justin Evans

The Journal of Business, Entrepreneurship & the Law

No abstract provided.


Discussion Of The Potential Of Blockchain In Finance, Andrew Kincaid 2018 University of Arkansas, Fayetteville

Discussion Of The Potential Of Blockchain In Finance, Andrew Kincaid

Finance Undergraduate Honors Theses

This paper analyzes the current application of blockchain technology to demonstrate its disruptive potential has across different financial industries. This paper analyzes the potential difficulties that blockchain technology must face and overcome to realize this potential. Blockchain is currently in a stage in its development where there has not been enough research done to provide empirical answers to its benefits or added costs; however, there have been many early innovations that have helped propel blockchain forward. Blockchain in corporate finance is primarily used in corporate governance where blockchain has the ability to increase transparency and reduce possible corruption. Blockchain has ...


Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He 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 ...


The Relationship Between Organizational Resources And Green It/S Adoption: A Rbv Approach, Lutfus Sayeed, Alberto Onetti 2018 San Francisco State University

The Relationship Between Organizational Resources And Green It/S Adoption: A Rbv Approach, Lutfus Sayeed, Alberto Onetti

Journal of International Technology and Information Management

ABSTRACT

The objective of the present study was to empirically explore the impact of the implementation of Green IT/S measures on organizational resources in the US and European firms. The study examined the influence of reconfiguration of resources within a firm while adopting various Green IT/S practices and technologies. Green IT/S implementation requires resource commitment from organizations (Bose and Luo, 2011). What are these resources and how do they affect the extent of Green IT/S measures adopted by businesses? Resource Based View (RBV) of the firm was used as the theoretical framework of the study. The ...


Using Sas™ Software To Enhance Pedagogy For Text Mining And Sentiment Analysis Using Social Media (Twitter™) Data, Ramesh Subramanian, Danielle Cote 2018 Quinnipiac University

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.


Cost Benefit Analysis Of Led Vs Florescent Lighting, Kurtis Clark, Phillip Humphrey 2018 Southwestern Oklahoma State University

Cost Benefit Analysis Of Led Vs Florescent Lighting, Kurtis Clark, Phillip Humphrey

Student Research

Over the last few years, the state of Oklahoma has been looking at ways to reduce expenses to address concerns about a budget deficit. There have been efforts made to reduce expenses due to the use of energy. It has been said, when the lights are on, work is getting done. Running lights is therefore the cost of doing business. Our research examines the question, “is there a way to provide better lighting while operating at a lower cost.” This research examines the current lighting at Southwestern State University, primarily fluorescent lighting (FL), and a cost benefit analysis of switching ...


Thailand Vts: An Analysis Of Its Capabilities To Enhance The Safety And Efficiency Of Navigation, Theeratch Amphanthongpaphakul 2018 World Maritime University

Thailand Vts: An Analysis Of Its Capabilities To Enhance The Safety And Efficiency Of Navigation, Theeratch Amphanthongpaphakul

World Maritime University Dissertations

No abstract provided.


Enhancing Safety Of Navigation By Incorporation Of Additional Data By Automatic Identification System, Rishi Mondal 2018 World Maritime University

Enhancing Safety Of Navigation By Incorporation Of Additional Data By Automatic Identification System, Rishi Mondal

World Maritime University Dissertations

No abstract provided.


Impact Of Maritime Autonomous Surface Ships (Mass) On Vts Operations, Jia Chyuan Chong 2018 World Maritime University

Impact Of Maritime Autonomous Surface Ships (Mass) On Vts Operations, Jia Chyuan Chong

World Maritime University Dissertations

No abstract provided.


Integrate Use Of Drones And Qr Codes As Complementary Components For Monitoring, Control And Surveillance Systems For Artisanal Fishing Vessels In Peru, Eduardo Israel Zamora Chung 2018 World Maritime University

Integrate Use Of Drones And Qr Codes As Complementary Components For Monitoring, Control And Surveillance Systems For Artisanal Fishing Vessels In Peru, Eduardo Israel Zamora Chung

World Maritime University Dissertations

No abstract provided.


Cultural Transformation In The Digital World, Singapore Management University 2018 Singapore Management University

Cultural Transformation In The Digital World, Singapore Management University

Executive Education

The context of businesses across the world is fast changing – more specifically, Digitalisation has had a growing and increasingly disruptive impact across industry sectors and regions. Companies in the APAC region, like many others across the world, are grappling with the digital wave and its implications for their own structures, strategies and people. It appears that many are struggling to cope with the phenomenon, only a few have been able to embrace it fully, and almost none have been able to get ahead of it, proactively. Although much has been written and said about Digitalisation in the Asian context, our ...


Many Hands: The Effect Of The Prior Inventor-Intermediaries Relationship On Academic Licensing, Young-Choon KIM, Mooweon RHEE, Reddi KOTHA 2018 Ulsan National Institute of Science and Technology (UNIST)

Many Hands: The Effect Of The Prior Inventor-Intermediaries Relationship On Academic Licensing, Young-Choon Kim, Mooweon Rhee, Reddi Kotha

Research Collection Lee Kong Chian School Of Business

We study the role of the relationship among inventors and intermediaries in the licensing of university inventions. We suggest that a prior inventor-intermediaries relationship positively influences licensing rates through selective retention of higher quality relationships and mutual learning in the relationship, enabling intermediaries to reduce both information asymmetry and search costs between inventors and potential licensees. We argue that the influence of a prior inventor-intermediaries relationship on licensing is especially important before intellectual property protection is attained and can be substituted by the buyer-side contacts of inventors and intermediaries. We test these predictions using 919 inventions from the technology transfer ...


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