risk intelligence
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2021 ◽  
Author(s):  
Chris Middleton ◽  
Harsha Kalutarage ◽  
Omar Al-kadri ◽  
Hatem Ahriz

How could we better prepare industry and governments against holistic, hybrid, or second-order attacks? <div>In this article we discuss the importance of addressing systemic and systematic risk management problems to provide holistic risk management and direct advances in technical security, utilising machine learning and artificial intelligence.</div>


2021 ◽  
Author(s):  
Chris Middleton ◽  
Harsha Kalutarage ◽  
Omar Al-kadri ◽  
Hatem Ahriz

How could we better prepare industry and governments against holistic, hybrid, or second-order attacks? <div>In this article we discuss the importance of addressing systemic and systematic risk management problems to provide holistic risk management and direct advances in technical security, utilising machine learning and artificial intelligence.</div>


2021 ◽  
Vol 11 (3) ◽  
pp. 1030-1043
Author(s):  
Ernesto Lodi ◽  
Andrea Zammitti ◽  
Paola Magnano

(1) Background: University transition is a critical step in career construction due to the uncertainty and unpredictability of socioeconomic conditions; these conditions compel people to manage a greater quantity of perceived risks associated with their career projects than in the past, and to face unexpected situations that could compromise their quality of life in educational and work contexts. After all, experiencing well-being during the university path can undoubtedly affect the visions of one’s future work, especially when a transition period is nearby. The present study aimed to explore the role of subjective risk intelligence in expectations about future work, analyzing the potential mediational role of academic satisfaction in this relationship. (2) Methods: A longitudinal study was carried out on 352 Italian university students at the end of the degree course. We used the following measures: in T1, Subjective risk intelligence scale, College Satisfaction scale; in T2, three items assessing the expectations about future work. (3) Results: The main findings showed that subjective risk intelligence has both direct and indirect effects (through the mediation of college satisfaction) on the expectations about future work. (4) Conclusions: The ability to manage risks, also through the contribution of domain-specific satisfaction, can lead to positive expectations toward one’s future work. This could increase the likelihood to perform career-related behaviors in a more proactive way if people have high risk management skills and high levels of academic satisfaction with their university path during transition.


2021 ◽  
Vol 11 (8) ◽  
pp. 109
Author(s):  
Andrea Zammitti ◽  
Angela Russo ◽  
Giuseppe Santisi ◽  
Paola Magnano

In a risk society, personal values can be important resources, useful for managing uncertainty and guiding people in the perception of risk. The goal of this article is to explore the relationship between risk intelligence and personal values. The participants were 731 Italian adults aged between 18 and 65 years (M = 30.25; DS = 10.71). The survey was composed of the following measures: Subjective Risk Intelligence Scale and Portrait Values Questionnaire. Data analyses have found significant relationships between some types of personal values and risk intelligence: subjective risk intelligence is negatively related to conservation and positively related to openness to change and self-transcendence, but it was not related to self-enhancement. Furthermore, values of openness to change and self-transcendence mediate the relationship between age and subjective risk intelligence, while conservation values and self-enhancement values did not mediate the same relationship. Implication for practice and future research will be discussed.


2021 ◽  
Author(s):  
Junho Song

<p>To ensure and maintain reliability of civil infrastructures against rapid urbanization, globalization, population growth, and climate change, the concept of risk intelligence is needed. Four elements – identification, integration, inference, and implementation – are proposed and discussed from the viewpoint of data-information-knowledge flow. Recent research developments are presented to provide examples and identify topics of further research toward risk intelligence.</p>


2020 ◽  
Author(s):  
Maximilian Heimstädt ◽  
Leonhard Dobusch

Social media play a paradoxical role for matters of interest representation in global value-creation networks. On the one hand, social media platforms offer workers and trade unions the possibility to mobilize across geographical and institutional distances. On the other hand, these platforms also allow third parties to extract and process the digital traces of this communication about interest representation (e.g. Tweets). The aim of this paper is to introduce a specific form of processing – “Predictive Risk Intelligence” – as a new research object. Predictive Risk Intelligence providers use social media data to make predictions about events such as strikes and protests. They make these predictions available to other actors – for example, companies – as a service. In this paper, we introduce the phenomenon of Predictive Risk Intelligence through a case study of a provider of these services. Based on the case study, we develop a set of research questions related to established and new actors in the field of interest representation in value-creation networks. Finally, we discuss possible solutions for methodological challenges of the new research topic.


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