Vol.10, No.2, May 2021.                                                                                                                                                                                    ISSN: 2217-8309

                                                                                                                                                                                                                         eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Multi-Hazard Risk Assessment Policies in the Agrarian Sector using Business Continuity Data


Athanasios Podaras, Dana Nejedlová, Pavla Vrabcová


© 2021 Athanasios Podaras, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 10, Issue 2, Pages 627-638, ISSN 2217-8309, DOI: 10.18421/TEM102-18, May 2021.


Received: 11 April 2021.

Revised:   02 May 2021.
Accepted:  12 May 2021.
Published: 27 May 2021.




Inspired by the negative consequences of the COVID-19 pandemic on agriculture, the primary objective of the current paper is the utilization of real business continuity template data to, firstly, construct a business intelligence multidimensional and multihazard risk assessment data model and, secondly, conduct an aggregate pivot descriptive analysis regarding the influence of the pandemics and other hazards on selected agrarian industries. The second part includes an additional predictive regression analysis model regarding the influence of multiple hazards on the recovery time of interrupted due to these hazards key agricultural operations. The pilot multidimensional model can inspire agribusiness practitioners to assess efficiently the risks posed by multiple hazards to key agricultural activities. Data from specific agrarian sectors have been collected for the present study.


Keywords –agricultural operations, COVID-19, hazards, multidimensional data, pivot analysis, regression, risk assessment.



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