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Enterprise Risk Management (2nd Edition)

Über Enterprise Risk Management (2nd Edition)

Risk is inherent in business. Without risk, there would be no motivation to conduct business. But a key principle is that organizations should accept risks that they are competent enough to deal with, and "outsource" other risks to those who are more competent to deal with them (such as insurance companies). Enterprise Risk Management (2nd Edition) approaches enterprise risk management from the perspectives of accounting, supply chains, and disaster management, in addition to the core perspective of finance. While the first edition included the perspective of information systems, the second edition views this as part of supply chain management or else focused on technological specifics. It discusses analytical tools available to assess risk, such as balanced scorecards, risk matrices, multiple criteria analysis, simulation, data envelopment analysis, and financial risk measures.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9789814632768
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 244
  • Veröffentlicht:
  • 26. März 2015
  • Ausgabe:
  • 2
  • Abmessungen:
  • 160x237x23 mm.
  • Gewicht:
  • 560 g.
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Beschreibung von Enterprise Risk Management (2nd Edition)

Risk is inherent in business. Without risk, there would be no motivation to conduct business. But a key principle is that organizations should accept risks that they are competent enough to deal with, and "outsource" other risks to those who are more competent to deal with them (such as insurance companies). Enterprise Risk Management (2nd Edition) approaches enterprise risk management from the perspectives of accounting, supply chains, and disaster management, in addition to the core perspective of finance. While the first edition included the perspective of information systems, the second edition views this as part of supply chain management or else focused on technological specifics. It discusses analytical tools available to assess risk, such as balanced scorecards, risk matrices, multiple criteria analysis, simulation, data envelopment analysis, and financial risk measures.

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