Original Research

Relationship between knowledge-based risk and risk identification

Amine Nehari Talet, Louay Karadsheh, Samer Alhawari, Hana Hunaiti
South African Journal of Business Management | Vol 49, No 1 | a234 | DOI: https://doi.org/10.4102/sajbm.v49i1.234 | © 2018 Amine N. Talet, Louay Karadsheh, Hana Hunaiti, Samer Alhawari | This work is licensed under CC Attribution 4.0
Submitted: 11 May 2018 | Published: 16 October 2018

About the author(s)

Amine Nehari Talet, Department of Accounting and Management Information Systems, King Fahd University of Petroleum and Minerals, Saudi Arabia
Louay Karadsheh, Computer Information Science, Higher Colleges of Technology, United Arab Emirates
Samer Alhawari, The World Islamic Sciences and Education University, Jordan
Hana Hunaiti, The World Islamic Sciences and Education University, Jordan


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.


IT project risk; knowledge; risk repository; risk identification


Total abstract views: 2466
Total article views: 3216

Crossref Citations

No related citations found.