Towards a Data-driven Military
A Multidisciplinary Perspective- Herausgeber:innen:
- | |
- Reihe:
- NL ARMS
- Verlag:
- 2023
Zusammenfassung
Towards a Data-Driven Military: A Multidisciplinary Perspective assesses the use of data and information on modern conflict from different scientific and methodological disciplines, aiming to generate valuable contributions to the ongoing discourse on data, the military and modern warfare. Part one, ‘Military Systems and Technology’, approaches the theme empirically by researching how data can enhance the utility of military materiel and subsequently accelerate the decision-making process. Part two, ‘War Studies’, takes a multidisciplinary approach to the evolution of warfare, while the third part, ‘Military Management Studies’, takes a holistic organizational and procedural approach. Based on their scientific protocols and research methods, the three domains put forward different research questions and perspectives, providing the unique character of this book.
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Bibliographische Angaben
- Auflage
- 1/2023
- Copyrightjahr
- 2023
- ISBN-Print
- 978-90-8728-408-4
- ISBN-Online
- 978-94-006-0453-7
- Verlag
- Leiden University Press, Leiden
- Reihe
- NL ARMS
- Sprache
- Englisch
- Seiten
- 365
- Produkttyp
- Sammelband
Inhaltsverzeichnis
- Table of Contents
- List of Figures
- List of Tables
- Foreword
- Towards a data-driven military – an introductionSeiten 15 - 22Autor:innen: | |Download Kapitel (PDF)
- CHAPTER 1. Digitalisation, organising and organisational choice: Exploring the challenges of digital transformation using five applied sociotechnical lensesSeiten 25 - 50Autor:innen: |Download Kapitel (PDF)
- CHAPTER 2. Data analytics in human resource management: Benefits and challengesSeiten 51 - 72Autor:innen:Download Kapitel (PDF)
- CHAPTER 3. Data-driven maintenance of military systems: Potential and challengesSeiten 73 - 96Autor:innen: | |Download Kapitel (PDF)
- CHAPTER 4. Federated learning for enabling cooperation between the Royal Netherlands Navy and external parties in developing predictive maintenanceSeiten 97 - 120Autor:innen: | |Download Kapitel (PDF)
- CHAPTER 5. Information- and data-driven organisations from promise to practice? Reflecting on maturity dynamics in a defence sustainment organisationSeiten 121 - 142Autor:innen: | | | |Download Kapitel (PDF)
- CHAPTER 6. The effect of big data and AI on forecasting in defence and military applicationsSeiten 145 - 160Autor:innen:Download Kapitel (PDF)
- CHAPTER 7. Military helicopter flight mission planning using data science and operations researchSeiten 161 - 182Autor:innen: | |Download Kapitel (PDF)
- CHAPTER 8. Applying GTSP-algorithms in maritime patrolling missions that require mutual supportSeiten 183 - 202Autor:innen: | |Download Kapitel (PDF)
- CHAPTER 9. From data to effective actions: Providing actionable information for detect and avoidSeiten 203 - 220Autor:innen:Download Kapitel (PDF)
- CHAPTER 10. Battling information overload in military intelligence & security organisationsSeiten 221 - 236Autor:innen: | |Download Kapitel (PDF)
- CHAPTER 11. A conceptual investigation of the trade-off between privacy and algorithmic performanceSeiten 239 - 260Autor:innen: |Download Kapitel (PDF)
- CHAPTER 12. Information manoeuvre and the Netherlands armed forces: Legal challenges aheadSeiten 261 - 282Autor:innen: | |Download Kapitel (PDF)
- CHAPTER 13. The use of biometrics in military operations abroad and the right to private lifeSeiten 283 - 302Autor:innen: |Download Kapitel (PDF)
- CHAPTER 14. 2020 Nagorno-Karabakh War: A case of triple D: Diplomacy, Drones and DeceptionSeiten 303 - 332Autor:innen: | |Download Kapitel (PDF)
- About the editorsSeiten 357 - 358 Download Kapitel (PDF)
- About the authorsSeiten 359 - 364 Download Kapitel (PDF)
