Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/2544
Title: Toward an Operational Proxy for Acquisition Workforce Quality: Measuring Dynamic Knowledge and Performance at the Tactical Edges of Organizations
Authors: Mark E. Nissen
Keywords: Acquisition Workforce Quality
Leadership Interventions
Knowledge Flow Theory
End Customer Performance
Revolutionary Dynamic Knowledge
and Performance Measures
Issue Date: 13-Oct-2012
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Acquisition Workforce
NPS-AM-12-206
Abstract: The efficacy of defense acquisition is highly dependent upon acquisition workforce (AWF) quality, but assessing such quality remains a major challenge, particularly given the knowledge-intensive and dynamic nature of acquisition organizations and processes. Hence, it is difficult to gauge much less predict the impact of leadership interventions in terms of policy, process, regulation, organization, education, training, or like approaches. Building upon the development and application of Knowledge Flow Theory over the past couple of decades, we have developed a state-of-the-art approach that enables us analyze, visualize, and measure dynamic knowledge and performance. The main idea is to apply this approach inwardly to measure the dynamic knowledge and performance of acquisition processes (e.g., within contracting and project management organizations), but we also look outwardly (e.g., at warfare processes at the tactical edges of military combat organizations) to conceptualize an operational proxy for acquisition workforce quality: end customer performance. This proxy offers its best potential to complement, not replace, other metrics in use, development, and conceptualization today, but it arguably concentrates on one of the most important AWF quality determinants: how acquired systems affect operational performance.
Description: Acquisition Management / NPS Faculty Research
URI: https://dair.nps.edu/handle/123456789/2544
Appears in Collections:Sponsored Acquisition Research & Technical Reports

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