Exploratory Content Analysis Of Direct-To-Consumer Pet Genomics: What Is Being Marketed And What Are Consumers Saying?, Nikki E. Bennett, Silvio Ernesto Mirabal Torres, Peter B. Gray

Anthropology Faculty Research

Mars Petcare introduced the first direct-to-consumer domestic dog genetic test in 2009 and Basepaws introduced the first direct-to-consumer cat genetic test in 2016. Social science research has evaluated numerous aspects of the human direct-to-consumer market, yet no such exploration has evaluated the occurrence of pet owners pursuing pet genetic tests. Using a mixed methods approach, we conducted an exploratory content analysis of direct-to-consumer pet genetic company webpages and consumer reviews shared on Amazon. Initial data reviews indicated some companies may be key industry players, relative to others. Our results present content frequency for each group (key industry players, all other …

2021-2022 Morehead State University Audit Report, Morehead State University. Accounting And Financial Services Office.

Morehead State University Audit Reports

2021-2022 Audit Report for Morehead State University.

Spent Hemp As An Animal Feed And Vertical Price Transmission In Us Hemp Value-Added Supply Chain, Solomon E. Odiase

Theses and Dissertations--Agricultural Economics

This thesis comprises of two articles covering spent hemp's prospects as an animal feed and the price interaction across the hemp commodity value-added supply chain. The first article uses a comparative analysis tool to analyze the potential of spent hemp as an animal feed or feed ingredient based on its yield, nutritional composition and market price. This comparative advantage analysis revealed that spent hemp is competitive based on its rich essential nutritional content, comparatively high yield per acre, and low market price. Furthermore, with the increasing drought conditions, production cost and market price of alfalfa hay, spent hemp may fill …

Impact Of Behavioral Biases On Investment Decisions Of Fund Managers: Mediating Role Of Investor's Risk Perception During Covid-19, Bushra F. Malik, Anousha Iftikhar, Huma Ayub, Abida Ellahi

Accounting, Business Analytics, Economics, and Finance Department Faculty Articles

This study examined the relationship of one of the important factors observed during the COVID situation where different behavioral biases impact the risk perceptions and investment decisions of fund managers of Pakistan. Data has been gathered from fund managers of various organizations located in Rawalpindi and Islamabad through a structured questionnaire. The snowball sampling technique has been utilized. SPSS has been utilized for the data analysis. To test hypotheses, regression analysis has been done. The mediation and moderation results have been determined through Preacher and Hayes PROCESS macro. Model 7 of PROCESS macro has been utilized as it is best …

9253y: Investigation Of A Ce Labelling Strategy For Mri Electromagnetic Field Probes, Erica Ai Li, Sherjeel Anwar, Shoubhik Pandit, Sinthuja Thiruchelvam, Tristan Hilker

Community Engaged Learning Final Projects

Executive Summary

As a business grows, there is pressure to expand into new markets, which led to this review. This report is connection with a company that aims to meet the MRI testing needs of its clients. The purposes of this review are (1) to assess the requirements for CE labeling certification and (2) to evaluate the European and the international markets.

Purpose 1: Requirements for CE certification

To obtain CE labeling, there is a need to follow the procedures outlined in the Measuring Instruments Directive. This includes meeting the essential requirements of reproducibility, repeatability, discrimination and sensitivity, durability, reliability, …

Access To Credit And Social Capital: The Case Of Indonesia, Muhammad Syaiful, Bayu Kharisma

The Journal of Sociology & Social Welfare

This paper analyzes the relationship between social capital and individuals’ access to credit in Indonesia. We used the data from the fifth wave of the Indonesian Family Life Survey (IFLS5) and focused on the “flow” aspect of social capital, i.e., participation in various activities that can be regarded as an addition to the general “stock” of social capital. The results showed that two participation characteristics in social activities, namely “voluntary-type” and “economic-embedded” activities which affect creditmarket outcome. Using an extended probit model with correction for selection bias and endogenous regressor, we found that investment in the latter activity can improve …

The Economic Obstacles To Electric Vehicle Adoption In Montana, Lily B. Duray

Undergraduate Theses, Professional Papers, and Capstone Artifacts

Beginning in 2008, electric vehicles, otherwise referred to as EVs have increased in popularity. However, most rural areas like Montana still have not adopted these types of vehicles because of three major obstacles. By addressing EV driving range, availability of public EV charging stations, and the charging times of EVs, EVs can become a credible substitute for traditional vehicles in Montana.

Netflix Strategic Business Analysis, Kegan L. Morris

Undergraduate Theses, Professional Papers, and Capstone Artifacts

An external analysis done to identify opportunities and threats Netflix faces.

Modeling The Impact Of Adding Cryptocurrency In A Portfolio, Ashley Pineault

Honors Theses and Capstones

This study examines the backgrounds of Bitcoin and Ethereum. How they came about, where they differ from one another in functions, and what investors believe will be a better cryptocurrency stock as an investment to include in an optimized portfolio. It will also study the impact of adding two leading cryptocurrencies, Bitcoin and Ethereum, into a hypothetical, optimal investment portfolio. Data collection includes the adjusted closing price of 30 diversified stocks from 2016 to 2021. Those adjusted closing prices are the beginning of determining the optimal portfolio for three separate portfolios. One has the Ethereum cryptocurrencies, the other has Bitcoin …

Towards A Better Understanding Of The Development Of Collaborative Consumption Pricing, Funda Sarican

2022

With the rise of social platforms, consumers started creating value by sharing human and physical resources. As a result, there has been an increase in collaborative consumption. My papers focus on the peer-to-peer travel accommodation service Airbnb, a popular online market for short-term housing rentals.

In paper one, an integrated framework for collaborative consumption pricing is developed by adopting the hedonic demand theory and leveraging the multilevel modeling method that accounts for various factors from nested data. This paper contributes to the research literature by extending the usage of multilevel modeling across cities to consider city effects and broadening the …

Optimizing Pension Outcomes Using Target Volatility Investment Concept, Zefeng Bai

2022

The target volatility strategy is a very popular investment concept in financial marketplace. For my dissertation, I focus on studying the target volatility investment concept in application to pension accumulation as well as decumulation stages. Additionally, I extend a basic target volatility strategy by introducing trading boundaries to its asset allocation mechanism. My dissertation study follows a three-paper format.

In paper one, we propose a new pension strategy that aims at improving the protection of a long-term pension plan in volatile market conditions. Over a hypothetical twenty-year pension scheme, we show that our newly proposed strategy, which attaches a target …

Privacy Paradox: The Impact A Health Crisis Has On Individual Views Regarding Privacy And Data Collection, Jessica B. Walsh

Honors Theses and Capstones

No abstract provided.

Cloud-Based Machine Learning And Sentiment Analysis, Emmanuel C. Opara

College of Graduate Studies: Theses & Dissertations

The role of a Data Scientist is becoming increasingly ubiquitous as companies and institutions see the need to gain additional insights and information from data to make better decisions to improve the quality-of-service delivery to customers. This thesis document contains three aspects of data science projects aimed at improving tools and techniques used in analyzing and evaluating data. The first research study involved the use of a standard cybersecurity dataset and cloud-based auto-machine learning algorithms were applied to detect vulnerabilities in the network traffic data. The performance of the algorithms was measured and compared using standard evaluation metrics. The second …

Interlocking Directorates Among The S&P 500: Social Networks, Gender Diversity, And Corporate Governance, Eric P. Magistad

School of Business Student Theses and Dissertations

This multi-article investigation examines corporate board composition and the implications for regulatory penalties. Director diversity on key board committees and board interlocks influence board behaviors as they relate to regulatory risk. Directors bring experience and inter-industry ties to a board position and subsequently transfer and receive specific knowledge, practices, and contacts with other directors (Hillman & Haynes, 2010). Despite this exchange, firms may suffer regulatory oversight penalties because different directors perceive and respond to risk differently (Douglas & Wildavsky, 1983; Flynn et al., 1994). Leveraging the tenets of the cultural theory of risk perception (Douglas & Wildavsky, 1983) and of …

Co-Jumps, Co-Jump Tests, And Volatility Forecasting: Monte Carlo And Empirical Evidence, Weijia Peng, Chun Yao

WCBT Faculty Publications

This study classifies jumps into idiosyncratic jumps and co-jumps to quantitatively identify systematic risk and idiosyncratic risk by utilizing high-frequency data. We found that systematic risk occurs more frequently and has larger magnitudes than the idiosyncratic risk in an individual asset, which indicates that volatilities from one sector are largely derived from the contagious effect of other sectors. We further investigated the importance of idiosyncratic jumps and co-jumps to predict the sector-level S&P500 exchange-traded fund (ETF) volatility. It was found that the predictive content of co-jumps is higher than that of idiosyncratic jumps, suggesting that systematic risk is more informative …

Conflating Relevance With Practical Significance And Other Issues: Commentary On Sen, Smith, And Van Note’S “Statistical Significance Versus Practical Importance In Information Systems Research”, Kaveh Mohajeri, Mostafa Mesgari, Allen S. Lee

Information Systems and Business Analytics Faculty Works

Expanding on the current debate on the issues of statistical and practical significance in information systems research, where the article by Sen, Smith, and Van Note is a recent contribution, this commentary cautions against conflating relevance with practical significance. We emphasize that relevance is 1) about the real-world usefulness of research findings rather than their impressiveness for the researcher audience, 2) an essential quality of research spanning beyond its findings and not merely limited to statistical studies, and 3) determined by nonacademics rather than academics. We also comment on other aspects of the article by Sen et al., such as …

How A Supply Chain Stumble Changes A Company’S Policies And Progress 20 Years Later: A Case Study Of Gap Inc., Alexandra Futterman

CMC Senior Theses

Gap Inc. is the third-largest American retailer. Founded in 1969, Gap Inc. holds four brands, Gap, Banana Republic, Old Navy and Athleta. In the late 1990s and early 2000s Gap Inc. made headlines for child labor abuses along with many other large brands. After this negative attention, Gap Inc. began developing policies and practices to combat ethical supply chain issues. These policies included a Human Rights Policy, a Code of Vendor Conduct, working conditions standards, and even capacity building programs that boarded company reaches into communities they touch. In conjunction with the policies Gap Inc. has published several social responsibility …

Establishing A Management Performance Measurement System; Defining And Selecting Kpis, Dimitrios V. Siskos

Publications

Managers and constituents of industries are increasingly concerned about measuring and managing organizational performance. However, launching a new measurement system goes beyond defining new metrics or developing new displays of existing data. However, as Bourne and Neely (2003) point out, there is some evidence that many of these implementations are not successful. This paper initially examines the most difficult elements in establishing and launching a management performance measurement system. The next step after the establishing of a performance measurement system, is to specify the essential elements in defining and selecting KPIs. Unfortunately, different people have very clear and different definitions …

Estimating The Statistics Of Operational Loss Through The Analyzation Of A Time Series, Maurice L. Brown

Theses and Dissertations

In the world of finance, appropriately understanding risk is key to success or failure because it is a fundamental driver for institutional behavior. Here we focus on risk as it relates to the operations of financial institutions, namely operational risk. Quantifying operational risk begins with data in the form of a time series of realized losses, which can occur for a number of reasons, can vary over different time intervals, and can pose a challenge that is exacerbated by having to account for both frequency and severity of losses. We introduce a stochastic point process model for the frequency distribution …

Workplace Information Literacy: Current State Of Research Published From South-Asia, Haleema Saadia, Muhammad Asif Naveed

Library Philosophy and Practice (e-journal)

This paper intended to provide and critical and analytical review of research on workplace information literacy published form South-Asia with a view to inform policy and practice. Library, Information Science and Technological Abstracts (LISTA) was searched to identify the key studies published in the proposed research area using multiple keywords. The search process resulted in 384 citations which was screened for duplication and relevance. As a result, 375 citations were excluded due to duplication and non-relevance. Only nine citations remained to deal with for review. The reference lists of these citations were also examined to identify more related citations which …