Date of Award
9-2020
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Department of Systems Engineering and Management
First Advisor
David R. Jacques, PhD
Abstract
There is an ongoing demand for organizations to become more agile in order to prosper amongst their competitors. Many organizations, including the United States Department of Defense (DoD), have declared a renewed focus towards organizational agility. This research begins by providing a suitable and formal definition of organizational agility (OA) by exploring and analyzing relevant scholarly literature on the subject. Existing methods to measure OA are examined and summarized, and their current limitations are highlighted. Previous studies to find characteristics associated with organizational agility are examined and the Q-sort method was employed to discover, analyze and eliminate redundant items from the data set, ultimately resulting in 64 unique characteristics. Exploratory factor analysis (EFA) and was applied to a preliminary study with over 250 respondents representing 13 organizations to establish the structure of a latent construct to measure OA along with the individual characteristics necessary to calculate its factors. A second study, this time representing 40 organizations and with over 1,100 respondents, used confirmatory factor analysis (CFA) to confirm and validate the latent construct, its factors, and the fundamental questions necessary to measure OA. Lastly, the principles of convergent and discriminant validity were applied to test the validity of the OA model. Overall, this research contributes a model to proactively measure OA utilizing a 20-question questionnaire, allowing leaders the insight necessary to improve their organizations and to be prepared to capitalize on innovative opportunities.
AFIT Designator
AFIT-ENV-DS-20-S-061
DTIC Accession Number
AD1114538
Recommended Citation
Geiger, Jeremy R., "Agility Measurement for Large Organizations" (2020). Theses and Dissertations. 4340.
https://scholar.afit.edu/etd/4340