Date of Conferral
2017
Date of Award
2018
Degree
Doctor of Business Administration (D.B.A.)
School
Management
Advisor
Douglas Campbell
Abstract
The United States Congress mandated the Secretary of Defense develop a strategy to streamline the joint capabilities integrated development system (JCIDS). The purpose of this qualitative single case study was to explore strategies that senior U.S. Army Commanders might use to reduce the approval time for an acquisition category (ACAT) III need document in the JCIDS. Data came from historical documents and semistructured interviews of 30 ACAT III requirement writers and senior U.S. Army commanders with expertise in JCIDS. The conceptual framework was Goldratt's theory of constraints. Miles, Huberman, and Saldana's data analysis method was used to identify themes. Six themes emerged that yielded 6 possible strategies to reduce approval time: (a) define and implement an objective goal, (b) simplify the process and decrease redundancy by reducing or eliminating irrelevant levels of review, (c) determine the optimum number of reviews necessary for the desired outcome, (d) determine if the Chief of Staff of the Army should be the approving authority for an ACAT III need document, (e) determine the appropriate offices and individuals that should be consulted about the need document during the world wide review process, and (f) enhance training for JCIDS personnel participating in the ACAT III need approval process. The study findings may contribute to positive organizational and social change by potentially saving U.S. taxpayer funding and by enhancing the combat efficiency of the U.S. Army, thereby increasing the safety and security of the United States and its citizens.
Recommended Citation
Schlomer, Donald E., "Strategies for Exploring: ACAT III Requirement Approval Process" (2017). Walden Dissertations and Doctoral Studies. 3576.
https://scholarworks.waldenu.edu/dissertations/3576
Included in
Business Administration, Management, and Operations Commons, Management Sciences and Quantitative Methods Commons