Konferenzbeitrag

An Approach to Modelling Information System Availability by Using Bayesian Belief Network

In today's era of the ubiquitous use of information technology (IT), it is expected that the information systems provide services to end-users on continuous basis, regardless of time and location. This is especially true in organizations where information systems (IS) support real-time critical operations, particularly, in the industries in which these systems must continuously operate 24x7x365. This paper presents a modified Bayesian Belief Network model for predicting IS availability. Based on a thorough review of all IS availability dimensions, we proposed a modified set of determinants. The model is parametrized using probability elicitation process with the participation of experts from the BiH financial sector. The results showed that most influential determinants of the IS availability are a timely and precise definition of the availability requirements, quality of IT operations, management and network.

Language
Englisch

Bibliographic citation
In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Kotor, Montengero, 10-11 September 2015 ; Year: 2015 ; Pages: 242-250 ; Zagreb: IRENET - Society for Advancing Innovation and Research in Economy

Classification
Wirtschaft
IT Management
Subject
Information Systems
Business Continuity
Availability
Bayesian Belief Network
Monte-Carlo Simulation

Event
Geistige Schöpfung
(who)
Ibrahimović, Semir
Bajgorić, Nijaz
Event
Veröffentlichung
(who)
IRENET - Society for Advancing Innovation and Research in Economy
(where)
Zagreb
(when)
2015

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Konferenzbeitrag

Associated

  • Ibrahimović, Semir
  • Bajgorić, Nijaz
  • IRENET - Society for Advancing Innovation and Research in Economy

Time of origin

  • 2015

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