Technology and Innovation Commons^™

Contingency Planning Amidst A Pandemic, Natalie C. Belford

KSU Proceedings on Cybersecurity Education, Research and Practice

Proper prior planning prevents pitifully poor performance: The purpose of this research is to address mitigation approaches - disaster recovery, contingency planning, and continuity planning - and their benefits as they relate to university operations during a worldwide pandemic predicated by the Novel Coronavirus (COVID-19). The most relevant approach pertaining to the University’s needs and its response to the Coronavirus pandemic will be determined and evaluated in detail.

Tree-Based Algorithm For Stable And Efficient Data Clustering, Hasan Aljabbouli, Abdullah Albizri, Antoine Harfouche

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

The K-means algorithm is a well-known and widely used clustering algorithm due to its simplicity and convergence properties. However, one of the drawbacks of the algorithm is its instability. This paper presents improvements to the K-means algorithm using a K-dimensional tree (Kd-tree) data structure. The proposed Kd-tree is utilized as a data structure to enhance the choice of initial centers of the clusters and to reduce the number of the nearest neighbor searches required by the algorithm. The developed framework also includes an efficient center insertion technique leading to an incremental operation that overcomes the instability problem of the K-means …

Tech Policy And Legal Theory Syllabus, Yafit Lev-Aretz, Nizan Packin

Open Educational Resources

Technology has changed dramatically over the last couple of decades. Currently, virtually all business industries are powered by large quantities of data. The potential as well as actual uses of business data, which oftentimes includes personal user data, raise complex issues of informed consent and data protection. This course will explore many of these complex issues, with the goal of guiding students into thinking about tech policy from a broad ethical perspective as well as preparing students to responsibly conduct themselves in different areas and industries in a world growingly dominated by technology.

Outcomes Of Platform Openness In Complementary Markets, Franck Loic Soh Noume

Graduate Theses and Dissertations

Mobile platform ecosystems are hyper-competitive environments. They provide important entrepreneurial opportunities for businesses that develop mobile apps. Platform openness is foundational in mobile platform ecosystems as it enables interactions between complements and platform. Although there are several studies on the impact of platform openness, our understanding of the outcomes of platform openness remains limited. In this dissertation, we examine thoroughly underexplored facets of platform openness as well as understudied outcomes. In the first essay, we investigate the impact of platform openness on incumbent complements’ performance outcomes. We unravel important causal mechanisms related to competition dynamics between new entrants and incumbent …

Family Ownership And Corporate Environmental Responsibility: The Contingent Effect Of Venture Capital And Institutional Environment, Zhu Zhu, Feifei Lu

Department of Management Faculty Scholarship and Creative Works

As scholars and policy makers pay more attention to the environmental impact of economic activities, more focus has been placed on the corporate environmental responsibility (CER) of family firms, which accounts for the majority of businesses in both developed and developing countries. Using a sample of 4714 private enterprises across 23 provinces in China, the current study examines the effect of family ownership on CER investment, as well as the moderating effects of venture capital investment and local institutional development. Results show that concentrated family ownership leads to lower CER spending, however, when venture capital investment comes from developed markets, …

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 …

2020 Ijbe Front Matter

International Journal for Business Education

1. Editorial Board
2. Letter from International President
3. SIEC-ISBE International

Implementing The Malcolm Baldrige Process For A Financial Institution: An Insiders Perspective, Scott Murray

Electronic Theses, Projects, and Dissertations

The Malcolm Baldrige Framework for Performance Excellence outlines best practices for strategic and operational processes. Enterprises that achieve the award do so not for the award itself – but for the transformation that takes place along the way. Although the fifty-page summaries of Malcolm Baldrige award winning organizations are posted on the National Institute of Science and Technology (NIST) (https://www.nist.gov/baldrige/award-recipients), the process and effort used to create such applications has not been documented. This project documents and provides an internal perspective and lessons learned from the early stages of the Malcolm Baldrige journey for a medium size financial institution. The …

Machine Learning Stock Market Prediction Studies: Review And Research Directions, Troy J. Strader, John J. Rozycki, Thomas H. Root, Yu-Hsiang John Huang

Journal of International Technology and Information Management

Stock market investment strategies are complex and rely on an evaluation of vast amounts of data. In recent years, machine learning techniques have increasingly been examined to assess whether they can improve market forecasting when compared with traditional approaches. The objective for this study is to identify directions for future machine learning stock market prediction research based upon a review of current literature. A systematic literature review methodology is used to identify relevant peer-reviewed journal articles from the past twenty years and categorize studies that have similar methods and contexts. Four categories emerge: artificial neural network studies, support vector machine …

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 …

Investigating The Influence Of A Web Based Logistics Tool On The Effectiveness Of Operations For The Center Of Innovation For Logistics Of Georgia, David Vaughn

Honors College Theses

Research suggests a correlation between advancements in logistics infrastructure and the development rate of regional economies. Some states have identified this correlation and have taken steps to create specialized entities aimed at catalyzing the growth of logistics within their state. In the state of Georgia, the Center of Innovation for Logistics is the entity responsible for coordinating logistic development activities. As part of their responsibilities, they are tasked with fulfilling information requests regarding logistics infrastructure availability throughout the state. However, the system is used to process these requests is antiquated and extremely inefficient. In an attempt to ameliorate this process, …

Price And Performance Trends For Cellular Trail Cameras Explained With A Time Trend, Google Keyword Trends, And A Use Case Of Suburban Deer Management, G. Webb

Faculty Research, Scholarly, and Creative Activity

Price and performance improvements for trail cameras, remote cameras designed for wildlife observation, havegiven wildlife researchers a widely accepted new tool. After their introduction in 2010, cellular trail cameras havebecome popular, saving travel time and reducing disturbance to wildlife. A use case of trail cameras for suburbandeer management illustrates desirable product features and risks of using citizen science for research. A time trendof camera prices identifies a common product price pattern for technology products, a decline following a logisticor inverted s-curve. Data from Google Keyword Trends captures the changing level of market interest correlatedwith high statistical significance compared to price …

A Little Birdy Told Me: Analysis Of The Impact Of Public Tweet Sentiment On Stock Prices, Alexander Novitsky

CMC Senior Theses

The combination of the advent of the internet in 1983 with the Securities and Exchange Commission’s ruling allowing firms the use of social media for public disclosures merged to create a wealth of user data that traders could quickly capitalize on to improve their own predictive stock return models. This thesis analyzes some of the impact that this new data may have on stock return models by comparing a model that uses the Index Price and Yesterday’s Stock Return to one that includes those two factors as well as average tweet Polarity and Subjectivity. This analysis is done with ten …