Titlebook: Virtual Reality and Mixed Reality; 19th EuroXR Internat Gabriel Zachmann,Mariano Alcañiz Raya,Xubo Yang Conference proceedings 2022 The Edi

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Günter Alce,Philip Alm,Rikard Tyllström,Anthony Smoker,Diederick C. Niehorster Escalation Maturity Model (EMM) and a tool were developed to measure the maturity of an organization to escalate IT-related security incidents. An IT tool for self-assessment was used by a representative from three organizations in the Swedish health sector to measure the organization’s ability to

HAVOC

Es), since it provides computer services witch fits with demand and charged according to their use. Now the evolution towards the cloud is promoting that orchestration business process to be run as a service (Orchestration as a Service (OaaS)). OaaS represents a solution especially for (SMEs) which

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Valentin Bauer,Tifanie Bouchara,Olivier Duris,Charlotte Labossière,Marie-Noëlle Clément,Patrick Boure network (VN). In a VN setting, IT is regarded as a major facilitator of actors’ collaboration to realize their joint objectives, i.e. to deliver seamless customer experience through providing mass-customized integrated solutions. To effectively use IT, a sufficient degree of BITA for key capabilit

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Rodent

arket and the resulting demand for a combination of up-to-date technical knowledge, organization-centred mindset, and adaptive skills. However, advances in pedagogical methods, changes in the skills of high-school graduates, and widening online options in the wake of the COVID-19 pandemic brought on

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Chengyuan Lin,Voicu Popescusts, they need to be able to retrieve it. We concentrate on the latter task. The same problem occurs also within an organization but there at least the skilled users can use powerful tools like SQL to find any content within the database. Web interfaces to databases are relatively simple and restric

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Tina Katika,Spyridon Nektarios Bolierakis,Emmanuel Vasilopoulos,Markos Antonopoulos,Georgios Tsimikl and VaR during the period extending from March 01, 2016 to February 28, 2019. EWMA, GARCH (1, 1), GARCH (p, q) and EGARCH (1, 1) were used to forecast volatilities. EWMA model outperformed the rest of the models for all of the selected fiat and cryptocurrencies during the in-sample period and for E

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