Browsing by Author "Podaras, Athanasios"
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- ItemEffective dissemination of emergency information(Technická Univerzita v Liberci, 2014) Žižka, Tomáš; Podaras, Athanasios; Ekonomická fakultaThe aim of this work is to design procedures that can be useful in cases that threaten our lives, economy, social security, etc these so-called emergency situations include natural disasters, traffic accidents, criminal activities and other threatening situations the article offers our view on how to improve the efficiency of transmission of information in the case that such emergency situation occurs and it is based on two model scenarios which may commonly occur in our daily lives.
- ItemInformation management tools for implementing an effective enterprise business continuity strategy(Technická Univerzita v Liberci, ) Podaras, Athanasios; Antlová, Klára; Motejlek, Jiří; Ekonomická fakultaThe current work aims to the development of the Business Continuity Testing Points method which can help both IT as well as business managers define an efficient business continuity strategy. The BCTP method stems from the UML Use Case Points theory which is a practically tested and accepted approach to SW complexity estimation. The Use Case Points methodology was selected as the theory behind the construction of the BCTP model, due to the fact that firstly, both theories share the requirement analysis task and secondly because complexity of information systems is strongly related to their recovery in cases of their unexpected failovers. In the Use Case Points theory IT analysts perform software requirement analysis by executing various business scenarios. The BCTP theory, on the other hand, is constructed to support the analysis of IT system recovery requirements, by executing multiple efficient recovery scenarios. The method is a new approach to the objective determination of the Recovery Time Effort of a business function in comparison to the Rational Time Objective and the Maximum Acceptable Outage, which are defined with regard to the Impact Value Level of the function. The most critical functions of the enterprise should be included in the Minimum Business Continuity Objective (MBCO) concept. MBCO refers to vital business functions without which the enterprise is not able to perform its basic operations. The Recovery Time Effort of a given business function is affected by multiple Technical, Environmental and Unexpected factors with precise weights and assessment values. Recovery exercises should be based on scenarios which include the unexpected factors that may delay the recovery process. The derived exercise results are proposed as drivers for the reassessment of the criticality of a business function.
- ItemRisk based control of the negative effect of discontinued automated processes – a case from the agricultural domain(Technical university of Liberec, Czech Republic, 2017-12-20) Podaras, Athanasios; Ekonomická fakultaThe current paper delineates a modern algorithmic procedure for estimating the risk and calculating a realistic duration of interrupted critical computerized business activities, in order to mitigate or prevent their corresponding negative consequences. The contribution is formulated via merging risk management and business continuity concepts. The formulation of an integrated business continuity management policy includes the proactive determination of approximate recovery timeframes for critical business functions. Practically, this estimation is based on recovery tests which are executed under ideal conditions, and unexpected factors which may emerge during a real process interruption and significantly delay its recovery are ignored. Agriculture is a domain where the incorporation of an integrated business continuity management system is a crucial issue. The interruption of agricultural computerized activities can be triggered by and can result to various undesirable environmental phenomena. Thus, especially for agriculture, the consideration of unexpected factors when executing recovery tests is highly demanded. The currently presented algorithm accepts as initial input the estimated recovery time which is based on recovery exercises executed under ideal conditions. Then, a precise number of potential unpredictable hazards (factors) are taken into consideration and the risk magnitude of each threat is semi-quantitatively estimated. The total risk magnitude is utilized to estimate the time deviation from the initially defined recovery time. After the risk analysis process is terminated, a new recovery timeframe is proposed. The time deviation from the initially defined recovery time is calculated in its absolute value. The algorithm is finally validated by applying the calculated extended timeframe to the system availability formula which measures the achieved system availability levels for any information system. The validation of the approach is demonstrated via a practical case study from the agricultural domain, namely the greenhouse irrigation scheduling system interruption scenario.