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Predicting Insider Espionage A Five-Factor Model New edition [Kietas viršelis]

  • Formatas: Hardback, 376 pages, aukštis x plotis: 210x148 mm, weight: 554 g, 20 Illustrations
  • Serija: Studies in History, Memory and Politics 51
  • Išleidimo metai: 29-Nov-2024
  • Leidėjas: Peter Lang AG
  • ISBN-10: 3631911300
  • ISBN-13: 9783631911303
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 376 pages, aukštis x plotis: 210x148 mm, weight: 554 g, 20 Illustrations
  • Serija: Studies in History, Memory and Politics 51
  • Išleidimo metai: 29-Nov-2024
  • Leidėjas: Peter Lang AG
  • ISBN-10: 3631911300
  • ISBN-13: 9783631911303
Kitos knygos pagal šią temą:

Insider espionage has destabilized governments, jeopardized national security and critical infrastructures, diminished the economic strength of nations, and cost lives. Deterrence and detection — the two methods most used to combat this threat — often prove ineffective. The author, therefore, suggests placing more emphasis on prediction. This book is based on a four-year research project in which the author studied hundreds of cases of insider espionage in the government and private sectors across various countries. The project led to the development of the author's Five-Factor Model of Insider Espionage, which he validated through multiple case analyses and a cross-case synthesis. This model aims to provide a framework to predict and thus mitigate the risks associated with insider espionage. The book will familiarize readers with the model and the underlying concepts.



Based on a four-year research project in which the author studied the antecedents of numerous cases of insider espionage, this book introduces the Five-Factor Model of Insider Espionage — a model with which these threats can be predicted and mitigated. The book will acquaint readers with the model and its underlying concepts.

PART 1 TOWARD A MODEL OF INSIDER ESPIONAGE

PART 2: EXPLORATION OF THE FIVE FACTORS OF INSIDER ESPIONAGE

PART 3: CASE STUDIES - APPLYING THE FIVE-FACTOR MODEL

PART 4: FINDINGS, RECOMMENDATIONS AND CONCLUSIONS

Frank C. Danesy has over 30 years of experience in space, defense, and academia. Formerly a Head of HR at ESA, he is now a strategic advisor spearheading Intelsource and an adjunct faculty member at the University of Mannheim. He holds doctorates in business administration and criminal justice and masters degrees in business, intelligence, and space studies.