Measuring Change Risk for Organisational Decision Making through a Hierarchical Model Process Approach - Service Science and Knowledge Innovation (ICISO 2014) Access content directly
Conference Papers Year : 2014

Measuring Change Risk for Organisational Decision Making through a Hierarchical Model Process Approach

Charalampos Apostolopoulos
  • Function : Author
  • PersonId : 987210
George Halikias
  • Function : Author
  • PersonId : 987211
Krikor Maroukian
  • Function : Author
  • PersonId : 982979
Georgios Tsaramirsis
  • Function : Author
  • PersonId : 987212

Abstract

Project Management has long established the need for risk management techniques to be utilised in the succinct identification and mitigation of associated risks in projects. Such techniques aim at the reconciliation of countervailing project activities to reduce scope creep, increase the probability of on-time and within-budget delivery. Uncontrolled changes, regardless of size and complexity, can develop risks to projects and affect project success or even an organisation’s project delivery coherence. Ideally, a change or consequence based upon a decision should have a fairly high level of predictability and thus a low level of a potential risk materializing, which would significantly undo the decision taken. This paper proposes a novel modeling process approach; CRAM (Change Risk Assessment Model), which could significantly contribute to the missing formality of business models especially in the change risk assessment area.
Fichier principal
Vignette du fichier
978-3-642-55355-4_46_Chapter.pdf (4 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01350954 , version 1 (02-08-2016)

Licence

Attribution

Identifiers

Cite

Charalampos Apostolopoulos, George Halikias, Krikor Maroukian, Georgios Tsaramirsis. Measuring Change Risk for Organisational Decision Making through a Hierarchical Model Process Approach. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. pp.439-448, ⟨10.1007/978-3-642-55355-4_46⟩. ⟨hal-01350954⟩
75 View
176 Download

Altmetric

Share

Gmail Facebook X LinkedIn More