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Articles 1 - 5 of 5
Full-Text Articles in Business
How To Strike The Wealth Balance, Shaomin Li, Seung Ho Park
How To Strike The Wealth Balance, Shaomin Li, Seung Ho Park
Management Faculty Publications
The underlying attitude towards wealth within a country can have a big impact on a company's decision to invest there. Shaomin Li and Seung Ho Park look at ways in which 'wealth tolerance' can be measured.
Impact Of Transformational Leadership On Job Satisfaction And Organizational Commitment And The Re-Enlistment Intention Of Virginia Army National Guard Soldiers, Kervin Gregory Sider
Impact Of Transformational Leadership On Job Satisfaction And Organizational Commitment And The Re-Enlistment Intention Of Virginia Army National Guard Soldiers, Kervin Gregory Sider
STEMPS Theses & Dissertations
A key component to the success of the Army National Guard (ARNG) is the retention of its soldiers. The ARNG must maintain enough soldiers to accomplish their mission of supporting the active duty Army. Leadership is one of the important factors that influence soldiers' level of job satisfaction and organizational commitment and ultimately their intention to remain or leave the ARNG. This research study sought to determine the impact of transformational leadership on job satisfaction, organizational commitment, and re-enlistment intention. The research questions guiding this study included: (1) Does transformational leadership impact the re-enlistment intention of first term soldiers, mid-term …
Evaluating Spatial Model Accuracy In Mass Real Estate Appraisal: A Comparison Of Geographically Weighted Regression And The Spatial Lag Model, Paul E. Bidanset, John R. Lombard
Evaluating Spatial Model Accuracy In Mass Real Estate Appraisal: A Comparison Of Geographically Weighted Regression And The Spatial Lag Model, Paul E. Bidanset, John R. Lombard
School of Public Service Faculty Publications
Geographically weighted regression (GWR) has been shown to greatly increase the performance of ordinary least squares-based appraisal models, specifically regarding industry standard measurements of equity, namely the price-related differential and the coefficient of dispersion (COD; Borst and McCluskey, 2008; Lockwood and Rossini, 2011; McCluskey et al., 2013; Moore, 2009; Moore and Myers, 2010). Additional spatial regression models, such as spatial lag models (SLMs), have shown to improve multiple regression real estate models that suffer from spatial heterogeneity (Wilhelmsson, 2002). This research is performed using arms-length residential sales from 2010 to 2012 in Norfolk, Virginia, and compares the performance of GWR …
International Trade With Increasing Returns In The Transportation Sector, Haiwen Zhou
International Trade With Increasing Returns In The Transportation Sector, Haiwen Zhou
Economics Faculty Publications
In this general equilibrium framework, the transportation sector is modeled as a distinct sector with increasing returns. A more advanced technology has a higher fixed cost but a lower marginal cost of production. Even with both manufacturing firms and transportation firms engaged in oligopolistic competition and optimally choosing their technologies, the model is tractable and results are derived analytically. Technology adoptions in the manufacturing sector and transportation sector are reinforcing, and multiple equilibria may exist. Firms choose more advanced technologies and the prices decrease when the size of the population is larger.
The Effect Of Kernel And Bandwidth Specification In Geographically Weighted Regression Models On The Accuracy And Uniformity Of Mass Real Estate Appraisal, Paul E. Bidanset, John R. Lombard
The Effect Of Kernel And Bandwidth Specification In Geographically Weighted Regression Models On The Accuracy And Uniformity Of Mass Real Estate Appraisal, Paul E. Bidanset, John R. Lombard
School of Public Service Faculty Publications
The article presents a study which examines the performance of kernel and bandwidth specification in geographically weighted regression (GWR) models in mass real estate appraisal. The kernels employed in the study are the bi-square kernel and the Gaussian kernel. Data from the sales of single-family homes in Norfolk, Virginia from 2010 to 2012 are highlighted.