Date of Award

Spring 2014

Document Type


Degree Name

Master of Science (MS)


Engineering Management & Systems Engineering


Engineering Management

Committee Director

Pilar Pazos

Committee Member

Steven Cotter

Committee Member

Resit Unal

Call Number for Print

Special Collections LD4331.E555 M23 2014


This study proposes a model to diagnose organizations using the mathematical principles of data envelopment analysis (DEA) to the variables generated using competing values framework (CVF) in order to evaluate overall organizational effectiveness. The notion of organizational effectiveness is abstract and difficult to measure due to its complexity and multi-functional nature. Over the years, measurement of organizational effectiveness has remained a challenge due to the lack of agreement on the factors that should be assessed to determine effectiveness. This research is aimed at shedding some light into this topic by using data envelopment analysis as a tool to measure relative efficiency based on a predefined effectiveness model. The effectiveness model is prepared on basis of competing values framework.

The relative efficiency scores that are obtained though this integrated approach compare and suggest the best practices that may be employed by an organization. In this research, a measurement model integrating CVF and DEA is developed and tested in context of power and hand tool manufacturers. The results obtained tested the feasibility of the model to assess organizational effectiveness. The findings may provide useful information to company stakeholders and business analysts about the factors that influence critical outcomes and compare that information with that of major competitors.


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