Digital Experience: How to Find a Tool for Evaluating Business Economic Risk
Risk evaluation includes not only quantitative or qualitative assessment but the choice of action that depends on the risk event. The paper highlights key research in the field of risk assessment from 1921 to the present day. The suggested concept of business eco-nomic risk evaluation is substan...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Universitas Indonesia
2020-12-01
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Series: | International Journal of Technology |
Subjects: | |
Online Access: | https://ijtech.eng.ui.ac.id/article/view/4466 |
Summary: | Risk
evaluation includes not only quantitative or qualitative assessment but the
choice of action that depends on the risk event. The paper highlights key
research in the field of risk assessment from 1921 to the present day. The
suggested concept of business eco-nomic risk evaluation is substantiated using
the criterion of information accessibility. One group of assessment techniques
is based on statistical analysis, namely insolvency risk assessment models
combined with a group of probabilistic ones. The alternative group includes all
techniques that differ from the accumulated data analysis (STAR - Strategic
Technology Assessment Review, HAZOP
Hazard and Operability Study, and FMEA
Fail-ure Mode and Effects Analysis qualitative assessments). Scenario,
list, and analogies techniques (SWIFT
Structured What If Technique, HACCP
Hazard Analysis and Critical Control Points, RCA Root Cause Analysis, BOWTIE, WCS
Worst Case Scenario) are more accurately characterized as an evaluation
of conditions and consequences of eco-nomic risks. Based on the advantages and
disadvantages of risk assessment techniques, this study proposed a
classification of the tools for evaluating business economic risk and an
algorithm for choosing a tool appropriate for the situation based on the
available information. The possibility and directions of practical
implementation, as well as the ex-isting digital assessment tool products, are
shown. |
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ISSN: | 2086-9614 2087-2100 |