Methodology of monitoring key risk indicators
Bibliographic Data
| ID | 15066951 |
|---|---|
| Authors | Bojan Pecek (University of Ljubljana, Faculty of Administration, Ljubljana, Slovenia, corresponding author), Andrej Kovacic (0000-0001-8609-3559, University of Ljubljana, Faculty of Economics, Ljubljana, Slovenia) |
| Year | 2019 |
| Volume | 32 |
| Issue | 1 |
| Pages | 3485-3501 |
| Publication date | 2019-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Economic Research-Ekonomska Istraživanja (JOURNAL) |
| Journal identifiers | ISSN: 1331-677X • E-ISSN: 1848-9664 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1331677x.2019.1658529 |
| OpenAlex | W2975214947 |
| Language | EN |
| Citations received | 2 |
| References cited | 26 |
Like in many preventive activities, the effectiveness of a risk policy is hard to measure. The objective of this article is to represent the methodology of monitoring a risk management policy. We use the Markov chain methodology for the calculation of the key risk indicators (K.R.I.s) of the process. Observing them through time, it is possible to conclude the positive attitude of the risk-preventing measures undertaken on the observed process. The methodology is represented in the case of archaeological excavations
Business · Computer security · Data mining · Process management · Risk management · Computer Science · Insurance and Financial Risk Management · Marine and environmental studies · Finance
| Citations per year | 0.4 |
|---|---|
| Citation span | 2021 - 2023 (3) |
| Highly cited | No |