Education Commons^™

Students Today Into Entrepreneurs Tomorrow: The Impact Of Major Choice On Grit And Risk Aversion, Keith D. Larkin

Business and Economics Honors Papers

The Bureau of Labor Statistics reports that more than half of all start-ups in the US fail before their fifth year in operation (BLS, 2010). As a result, since the mid-1980s, colleges and universities nationwide have continued to increase opportunities and funding to improve entrepreneurial education. Yet, little is known about how the choices students make during their time in college, like major choice, impact personality traits that are beneficial to entrepreneurship. Specifically, these traits are grit and risk aversion. The theoretically successful entrepreneurs are able to be committed to goals and remain motivated despite setbacks. Simultaneously they must maintain …

It Centralization And The Innovation Value Chain In Higher Education: A Study For Promoting Key Innovations Through Innovation Management And Organizational Design, Edmund Udaya Clark

All Graduate Theses, Dissertations, and Other Capstone Projects

The purpose of the present study was to investigate the impact of organizational centralization in higher education technology support units on institutional innovativeness. The centralization tools used for the present study included measures developed by Hage & Aiken (1971), Kaluzny, et al. (1974), and Ferrell & Skinner (1988). The innovativeness measures were established by Hansen & Birkinshaw's (2007) tool for evaluating innovation value chain activities in organizations. Data were gathered from a nation-wide sample (n = 303) of IT workers at 38 research one institutions in the United States. The results indicated that innovation value chain activities (idea generation, conversion, …

Proposal Of A New Method To Classify Higher Education Institutions Instead Of Rankings, Kate D. Elam

Undergraduate Distinction Papers

Purpose – The objective of this paper is to propose a new method for classifying higher education institutions that differs from traditional rankings. The proposed model segments colleges and universities based on like attributes and describes the groups according to their differentiating features.

Research Method – Data from several rankings publications was collected and simplified for analysis. Several observations (i.e. schools) were eliminated because they did not fit the sampling frame and/or did not include a sufficient amount of information. Duplicate variables (i.e. attributes) were also eliminated. First, exploratory factor analysis was applied to reduce the number of variables being …