• DocumentCode
    2568424
  • Title

    Cross-Cultural Risk Assessment Model

  • Author

    Wattanapokasin, Watcharee ; Rivepiboon, Wanchai

  • Author_Institution
    Center of Excellence for Software Eng., Chulalongkorn Univ., Bangkok, Thailand
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    536
  • Lastpage
    540
  • Abstract
    Due to the increasing of cooperation with global, cultural differences are specified as work factors in distributed projects. This paper aims at identifying quantitatively the cross cultural risk assessment. The cultural differences; language, communication style, time, and development method are examined as critical risk factors that affect the software development project. The mathematical model has been designed to quantify the effect of cultural differences of team members. Begin with the fundamental formula of the risk assessment, "Risk = Probability of the event x Losses associated with that event", the probability is estimated from the average number of conflicts in software development team, by means of the Poisson \´s process; the losses of each factor was estimated in term of their levels. The output from the model can be used in the risk management to increase achievements of the project.
  • Keywords
    probability; project management; risk management; software development management; stochastic processes; team working; Poisson process; communication style; cross-cultural risk assessment model; cultural differences; distributed project; language; mathematical model; risk management; software development project; Cultural differences; Global communication; Information technology; Mathematical model; Programming; Project management; Risk management; Signal processing; Software engineering; Uncertainty; Risk assessment; cross-cultural; cultural differences; model; software project;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    2009 International Conference on Signal Processing Systems
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3654-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2009.155
  • Filename
    5166844