Intelligent Risk Mapping and Assessment System

Lee, Sang Young

doi:10.14257/ijsia.2014.8.3.13

Cited by 3 publications

(2 citation statements)

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“…In addition to classifying possible risks, the rules contained in this module will determine the intensities of risks (Lee 2014). Project risk identification includes the review of project data from any source of information that allows for the recognition of a potential risk problem (Mousavi, Hashemi & Mojtahedi 2014).…”

Section: Relationship Between Knowledge-based Risk and Risk Identificationmentioning

confidence: 99%

“…Consequently, to accomplish a task or process effectively, it appears important to have reasonable and correct knowledge to make the proper choices and reactions amid the execution. Risk management is the identification, assessment and prioritisation of risks followed by the coordinated and economical application of resources to reduce, monitor and control the possible impact of unfortunate events or to maximise the realisation of opportunities (Lee 2014). In another study, RM could be employed to increase the success level of new product development projects because of their highly complex nature (Porananond & Thawesaengskulthai 2014).…”

Section: Introductionmentioning

confidence: 99%

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Relationship between knowledge-based risk and risk identification

Talet

Karadsheh

Alhawari

et al. 2018

South African Journal of Business Management

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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.

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Section: Relationship Between Knowledge-based Risk and Risk Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Relationship between knowledge-based risk and risk identification

Talet

Karadsheh

Alhawari

et al. 2018

South African Journal of Business Management

View full text Add to dashboard Cite

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Implementing Risk Management Processes Into a Cloud Computing Environment

Alhawari

Jarrah

Hadi

Global Business Expansion

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With the significant advances in Information and Communications Technology (ICT) over the last half a century, the Cloud computing paradigm is one of the most discussed topics in the field of ICT today. Additionally, Cloud computing has a critical role in today's business world. Without risk management processes embedded into innovative technology that supports Cloud computing, businesses are setting themselves up for a fall. Hence, in this paper, the authors propose a conceptual model of implementing risk management processes into a Cloud computing environment. It highlights the different processes of risk management (risk identification, risk analysis, risk planning, risk execution, and risk monitoring) and how their existence can affect the Cloud environment to ensure proper protection of data and information in order to ensure Cloud networks and connections are secure.

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