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

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A Relative Comparison Of Leading Supply Chain Management Software Packages, Zhongxian Wang, Ruiliang Yan, Kimberly Hollister, Ruben Xing Jan 2009

A Relative Comparison Of Leading Supply Chain Management Software Packages, Zhongxian Wang, Ruiliang Yan, Kimberly Hollister, Ruben Xing

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

Supply Chain Management (SCM) has proven to be an effective tool that aids companies in the development of competitive advantages. SCM Systems are relied on to manage warehouses, transportation, trade logistics and various other issues concerning the coordinated movement of products and services from suppliers to customers. Although in today’s fast paced business environment, numerous supply chain solution tools are readily available to companies, choosing the right SCM software is not an easy task. The complexity of SCM systems creates a multifaceted issue when selecting the right software, particularly in light of the speed at which technology evolves. In this …


Using Van Valens Procedure In Business Research To Assess Consistent Differences In Multidimensional Variability In Two Or More Groups, Mark L. Berenson, Kimberly Killmer Hollister Jun 2008

Using Van Valens Procedure In Business Research To Assess Consistent Differences In Multidimensional Variability In Two Or More Groups, Mark L. Berenson, Kimberly Killmer Hollister

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

Much business research involves comparisons in two or more groups on many dimensions. This paper primarily focuses on demonstrating and providing guidance as to how researchers should approach a multivariate analysis in the comparison of sets of corresponding characteristics in two or more independent groups. In particular, this paper demonstrates the utility of a simple but not widely known procedure developed by Van Valen (1978) that should be employed to test for the significance of differences in overall variability in the sets of corresponding characteristics in two or more groups, a test that enjoys much statistical power in detecting significant …


Chapter Xii: A Comparison And Scenario Analysis Of Leading Data Mining Software, John Wang, Xiaohua Hu, Kimberly Hollister, Dan Zhu Apr 2008

Chapter Xii: A Comparison And Scenario Analysis Of Leading Data Mining Software, John Wang, Xiaohua Hu, Kimberly Hollister, Dan Zhu

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

Finding the right software is often hindered by different criteria as well as by technology changes. We performed an analytic hierarchy process (AHP) analysis using Expert Choice to determine which data mining package was best suitable for us. Deliberating a dozen alternatives and objectives led us to a series of pair-wise comparisons. When further synthesizing the results, Expert Choice helped us provide a clear rationale for the decision. The issue is that data mining technology is changing very rapidly. Our article focused only on the major suppliers typically available in the market place. The method and the process that we …


Proctored Vs. Un-Proctored Exams In A Hybrid Course: A Brief Comparison Of Student Results, Kimberly Hollister Jul 2007

Proctored Vs. Un-Proctored Exams In A Hybrid Course: A Brief Comparison Of Student Results, Kimberly Hollister

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

The research aims to examine whether there is a difference in undergraduate student performance on skill-based exams in an introductory computer literacy course at a state comprehensive university when exams are administered in-class vs. online. Two samples, each consisting of approximately 107 students, are considered for this study. A comparison of exam scores will be used to identify differences in exam performance between the two groups.


A Risk/Cost Framework For Logistics Policy Evaluation: Hazardous Waste Management, Kimberly Hollister Apr 2002

A Risk/Cost Framework For Logistics Policy Evaluation: Hazardous Waste Management, Kimberly Hollister

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

The management of hazardous waste disposal operations is extremely complex involving a multitude of environmental, engineering, economic, social and political concerns. This article proposes a framework to assist policy makers in the evaluation of logistic policies. A spatial general equilibrium based policy evaluation model is developed to calculate risk, cost, and risk equity tradeoff curves. This framework provides policy makers a tool with which they can relate resulting logistics patterns and their associated risk, cost, and equity attributes to original policy goals.