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Wyświetlanie 1-2 z 2
Tytuł:
Innowacje i ich ryzyko - czy warto próbować?
Innovatives and their risk - is it worth a try?
Autorzy:
Deptuła, A. M.
Knosala, R.
Powiązania:
https://bibliotekanauki.pl/articles/339929.pdf
Data publikacji:
2017
Wydawca:
Polskie Towarzystwo Zarządzania Produkcją
Tematy:
ryzyko innowacyjne
ocena ryzyka
innowacje
kryteria
innovative risk
risk assessment
innovations
criteria
Opis:
The issue of innovation is very popular in business world and science. The implementation of innovations is connected with the decisionmaking process which always has a strictly defined purpose. The innovation risk assessment difficulty makes it necessary to use a multicriteria analysis. This procedure based on 5 general criteria (characterising the company) and 14 detailed criteria characterising the innovation) of innovation risk assessment. Implementation of innovations is connected with a high degree of risk. The publication is an essential source of information on the risk assessment of technical innovation. The article explains definitions of the innovation risk and innovation. What is more paper presents a risk assessment procedure in the company. This article shows how to choose the experts and criteria to assessment of risk innovation.
Źródło:
Zarządzanie Przedsiębiorstwem; 2017, 20, 4; 10-17
1643-4773
Pojawia się w:
Zarządzanie Przedsiębiorstwem
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wykorzystanie sieci bayesowskich w szacowaniu ryzyka innowacyjnego
Using bayesian networks to estimate the innovative risk
Autorzy:
Knosala, R.
Landwójtowicz, A
Powiązania:
https://bibliotekanauki.pl/articles/340109.pdf
Data publikacji:
2013
Wydawca:
Polskie Towarzystwo Zarządzania Produkcją
Tematy:
innowacje
ryzyko innowacyjne
szacowanie ryzyka
innovations
innovative risk
risk estimation
Bayesian networks
Opis:
Today, the advantage of enterprises is built by the process of innovations implementation. A decision concerning the innovations implementation is always difficult and risky because innovations are specific kinds of investments and are a potential source of many threats. This is why before taking a decision about an implementation of a given solution, it is extremely important to make an analysis of its consequences. A risk analysis becomes more and more important in this aspect because it makes it possible to estimate the level of dangers which can be caused by a new investment solution. This is why the process of estimating innovation risk with the use of Bayesian networks has been presented in this work. Data from projects carried out under the Operational Programme Innovative Economy for the years 2007-2013 in Opole Province and the NETICA programme have been used in order to work out an exemplary method. It has been shown how to determine the innovative risk level with taking into consideration the adopted assumptions. Exemplary factors of the analysed risk concerning both the enterprise and the sheer undertaking have been characterised. In the first step, the most important factors of innovation risk and their measuring indicators have been specified. Assuming that the risk is a probability of an undesirable state occurrence (according to a negative concept), the authors have chosen the following indicators to estimate the danger of an innovation failure: W 1. Period of using technology in the world. W 2. Time of carrying out the project expressed in months. W 3. Value of the whole project. W 4. Size of the enterprise. W 5. Own financial resources designed for making innovation. W 6. Financial risk. W 7. Decision about granting a subsidy. The chosen factors (sources) of risk are only an exemplary set and were chosen on purpose from the point of view of an area of the analysed risk. It is necessary to remember that each potential source of danger can become the basis of a subsequent risk connected with the project being carried out. In this context, an aspect of choosing appropriate and the most important risk sources, from the point of view of the innovation efficacy, appears. It is an extremely important stage because as we know it is impossible to take into consideration all factors because the assessment of accuracy of the estimated risk shall depend on it. In this case authors also highlight the role of an expert who mainly directs the risk estimation process. This step is a little subjective but in reality, the subjectivity is present in almost every step of risk analysis. The next step included the specification of dependencies between the enumerated factors and the probability of the analysed states occurrence. Thanks to that, the elaboration of a simple Bayesian network has become possible. It has been shown, on its basis, how the level of innovation risk an be estimated if the specific information and assumptions are available.
Źródło:
Zarządzanie Przedsiębiorstwem; 2013, 16, 1; 28-34
1643-4773
Pojawia się w:
Zarządzanie Przedsiębiorstwem
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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