Military Workforce Analytics-Reference-Cited by-同舟云学术

Military Workforce Analytics

Published:2021 Issue: Volume: Page:1-20
ISSN:
Container-title:Handbook of Military Sciences
language:
Short-container-title:

Author:

Straver Michelle C.

Abstract

AbstractAs a consequence of the closed, hierarchical nature of military organizations, good planning is key to ensuring that a military workforce will be well-situated to meet future demands. This chapter explores the role of data-driven decision support (referred to as analytics) in military workforce planning. As an applied research field, analytics aims to provide actionable insights and practical solutions to questions posed by decision-makers. Since data underlie all analytics, this chapter touches on the challenges of data-related issues such as accessibility, integration, and completeness, highlighting the importance of understanding the data and the context around it. Next, several areas where analytics are used to solve military workforce planning problems are discussed. This will give the reader a sense of the breadth of the domain, as well as the various approaches that can be employed by a practitioner.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-02866-4_84-1

Reference66 articles.

1. Armenia, S., Centra, A., Cesarotti, V., De Angelis, A., & Retrosi, C. (2012). Military workforce dynamics and planning in the Italian air force. In Proceedings of the 30th international conference of the system dynamics society (pp. 22–26). St. Gallen: System Dynamics Society.

2. Australian Human Rights Commission. (2012, August 8). Review into the treatment of women in the Australian Defence Force: Phase 2 report. Retrieved February 11, 2020, from https://defence.humanrights.gov.au/sites/default/files/adf-complete.pdf

3. Australian National Audit Office. (2017, March 27). Army’s workforce management (ANAO Report No. 44 2016–17). Retrieved February 10, 2020, from https://www.anao.gov.au/sites/default/files/ANAO_Report_2016-2017_44_0.pdf

4. operational research division project report 2002/08;PRS Bender,2002

5. director general military personnel research and analysis scientific report DRDC-RDDC-2020-R017;M Boileau,2020