Relationship between knowledge-based risk and risk identification
| Autor: | Samer Alhawari, Hana Hunaiti, Amine Nehari Talet, Louay Karadsheh |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
knowledge
lcsh:Management. Industrial management Computer science business.industry risk repository Strategy and Management 05 social sciences Risk identification Information technology 02 engineering and technology lcsh:Business risk identification IT project risk Risk analysis (engineering) lcsh:HD28-70 020204 information systems 0502 economics and business ddc:650 0202 electrical engineering electronic engineering information engineering Partial least squares analysis Limit (mathematics) Business and International Management business lcsh:HF5001-6182 050203 business & management |
| Zdroj: | South African Journal of Business Management, Vol 49, Iss 1, Pp e1-e12 (2018) |
| ISSN: | 2078-5976 2078-5585 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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