Business Administration, Management, and Operations Commons^™

Graph Enabled Cross-Domain Knowledge Transfer, Shibo Yao

Dissertations

The world has never been more connected, led by the information technology revolution in the past decades that has fundamentally changed the way people interact with each other using social networks. Consequently, enormous human activity data are collected from the business world and machine learning techniques are widely adopted to aid our decision processes. Despite of the success of machine learning in various application scenarios, there are still many questions that need to be well answered, such as optimizing machine learning outcomes when desired knowledge cannot be extracted from the available data. This naturally drives us to ponder if one …

Mind Maps And Machine Learning: An Automation Framework For Qualitative Research In Entrepreneurship Education, Yasser Farha

Dissertations

Entrepreneurship Education researchers often measure entrepreneurial motivation of college students. It is important for stakeholders, such as policymakers and educators, to assert if entrepreneurship education can encourage students to become entrepreneurs, as well as to understand factors that influence entrepreneurial motivation. For that purpose, researchers have used different methods and instruments to measure students' entrepreneurial motivation. Most of these methods are quantitative, e.g., closed-ended surveys, whereas qualitative methods, e.g., open-ended surveys, are rarely used.

Mind maps are an attractive qualitative survey tool because they capture the individual's reflections, thoughts, and experiences. For Entrepreneurship Education, mind maps can be utilized to …

Understanding Millennial, Generation X, And Baby Boomer Preferred Leadership Characteristics: Informing Today’S Leaders And Followers, Lee-Volker Cox

Dissertations

Purpose. This quantitative study’s purpose was to describe and determine the degree of difference and importance of leadership characteristics as perceived by Baby Boom, Generation X, and Millennial generational cohort followers in STEM-related U.S.-based or headquartered aerospace and computer organizations as measured by the Multigenerational Leadership Characteristics Questionnaire (MLCQ).

Methodology. This was a cross-sectional, nonexperimental, comparative and correlational quantitative, ex post facto study. A web-based MLCQ was developed after conducting an academic literature review. Participants used a 6-point Likert scale identifying the importance of 30 characteristics with 2 aggregation questions identifying the most and least important characteristics; 408 members of …