Artikel

Relationship between knowledge-based risk and risk identification

Background: Knowledge-based risk processes are turning into a major aspect inside establishments because they can limit the likelihood and effect of information technology (IT) project threats and catch opportunities amid the life cycle of an IT project.Objectives: The objective of the article is to propose a model that describes the amalgamation of knowledge-based risk processes (knowledge-based risk capture and knowledge-based risk discovery) and knowledge-based risk repositories to support risk identification.Method: This article adopts a quantitative research approach using surveys, with questionnaires composed from 135 employees in 10 IT companies in Jordan. The researchers employed smart partial least squares analysis to examine all of the hypotheses.Results: The results propose that the adoption of knowledge-based risk capture and knowledge-based risk discovery has a positive impact on risk identification, which is mediated by knowledge-based risk repositories.Conclusion: Knowledge-based risk processes and knowledge-based risk repositories are generally utilised as a part of IT projects to effectively and successfully support risk identification.

Sprache
Englisch

Erschienen in
Journal: South African Journal of Business Management ; ISSN: 2078-5976 ; Volume: 49 ; Year: 2018 ; Issue: 1 ; Pages: 1-12 ; Cape Town: African Online Scientific Information Systems (AOSIS)

Klassifikation
Management

Ereignis
Geistige Schöpfung
(wer)
Nehari Talet, Amine
Karadsheh, Louay
Alhawari, Samer
Hunaiti, Hana
Ereignis
Veröffentlichung
(wer)
African Online Scientific Information Systems (AOSIS)
(wo)
Cape Town
(wann)
2018

DOI
doi:10.4102/sajbm.v49i1.234
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Nehari Talet, Amine
  • Karadsheh, Louay
  • Alhawari, Samer
  • Hunaiti, Hana
  • African Online Scientific Information Systems (AOSIS)

Entstanden

  • 2018

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