Date of Award
Master of Science
Department of Operational Sciences
Joseph B Skipper, PhD.
This thesis employed a mixed methods approach to address the root causes of less than optimal use of the Medical/Surgical Prime Vendor program. Using techniques from qualitative research, interviews were conducted with subject matter experts to better understand the phenomena. A grounded theory approach was applied and content analysis performed to identify recurring themes within the transcript data. These data were used to select five constructs that appear to influence Medical/Surgical Prime Vendor contract use. Through the theoretical lenses of the Strategy, Structure, and Performance model as well as the Technology Acceptance Model, a theoretical model was developed. To measure the influence of these factors on contract use, a survey instrument was developed using existing, validated scales for each construct, and sent to all MTFs within the CONUS. Analysis of the data using regression disclosed that all hypotheses were supported. The amount of variance in contract use accounted for by the hypothesized model was XX%. The outcomes of this project maintain a direct positive relationship between top management support, interorganizational communication, employee training, perceived ease of use, and perceived usefulness on Medical/Surgical Prime Vendor use. Suggestions of the research are discussed as well as limitations and opportunities for further research.
DTIC Accession Number
El-Amin, Amber J., "Mixed Methods Approach to Identify Factors and the Extent to Which They Influence Medical/Surgical Prime Vendor Use" (2014). Theses and Dissertations. 669.