• DocumentCode
    120248
  • Title

    A Real Options Pricing Framework for Valuation of Security Professionals

  • Author

    Jun Wang ; Hongyu Guo

  • Author_Institution
    Sch. of Economist & Bus., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
  • fYear
    2014
  • fDate
    4-6 July 2014
  • Firstpage
    514
  • Lastpage
    518
  • Abstract
    Many organizations have to invest necessarily security technologies and facilities to defense malicious attacks. However, those security technology facilities will not be effective to mitigate damages without the security professionals to operate them correctly. Demonstrating security professional´ value in these areas will, therefore, be crucial. In this paper, we analyze professionals of security as human resources investments using the real options approach, and develop a framework for determining the financial value of information security professionals to prospective protecting organizations assets. The pricing framework gains an understanding of how information security professionals to create value and reveal the optimal investments critical point. The pricing of security professionals is based on a fraction of diminished future malicious attacks to prospective protecting organizations assets. It can help organization decide the timing of the investment, i.e., Decide to purchase or develop security technology facilities and to recruit security professionals now or later.
  • Keywords
    security; share prices; financial value; human resources investments; information security professionals; malicious attacks; optimal investments critical point; organizations assets; real options pricing framework; security professionals valuation; security technology facilities; value creation; Information security; Investment; Mathematical model; Organizations; Standards organizations; information security investment; option pricing; security professionals´s business value;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-5371-4
  • Type

    conf

  • DOI
    10.1109/CSO.2014.101
  • Filename
    6923737