che-chandler.de
IT Security Risk Management
Perceived IT Security Risks in the Context of Cloud Computing
Paperback
Print on Demand | Lieferzeit: Print on Demand - Lieferbar innerhalb von 3-5 Werktagen I
Alle Preise inkl. MwSt. | Versandkostenfrei
Nicht verfügbar
Zum Merkzettel
Gewicht:
286 g
Format:
210x148x12 mm
Beschreibung:
Dr. Tobias Ackermann received his doctorate at the chair of Information SystemsSoftware Business & Information Management at the Technische Universität Darmstadt, Germany. His areas of interest are IT risk management and the perceptions of IT security risks in the context of Cloud Computing.
Tobias Ackermann provides a comprehensive conceptualization of perceived IT security risk in the Cloud Computing context that is based on six distinct risk dimensions grounded on a structured literature review, Q-sorting, expert interviews, and analysis of data collected from 356 organizations. Additionally, the effects of security risks on negative and positive attitudinal evaluations in IT executives' Cloud Computing adoption decisions are examined. The author presents a mathematical risk quantification framework that can be used to support the IT risk management process of Cloud Computing users. The results support the risk management processes of (potential) adopters, and enable providers to develop targeted strategies to mitigate risks perceived as crucial.
Cloud Computing.- IT risk management.- Perceived IT security risks.- Scale development.- Analysis of adoption decisions.- Risk quantification framework.
This book provides a comprehensive conceptualization of perceived IT security risk in the Cloud Computing context that is based on six distinct risk dimensions grounded on a structured literature review, Q-sorting, expert interviews, and analysis of data collected from 356 organizations. Additionally, the effects of security risks on negative and positive attitudinal evaluations in IT executives' Cloud Computing adoption decisions are examined. The book's second part presents a mathematical risk quantification framework that can be used to support the IT risk management process of Cloud Computing users. The results support the risk management processes of (potential) adopters, and enable providers to develop targeted strategies to mitigate risks perceived as crucial.