Pregled bibliografske jedinice broj: 1092111
The significance of risk identification and quantification during the preparation, contracting and implementation of smart cities projects
The significance of risk identification and quantification during the preparation, contracting and implementation of smart cities projects // Smart Governmensts, Regions and Cities / Drezgić, Saša ; Žiković, Saša ; Tomljanović, Marko (ur.).
Rijeka: Sveučilište u Rijeci Ekononski fakultet, 2020. str. 317-328 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1092111 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The significance of risk identification and
quantification during the preparation,
contracting and implementation of smart cities
projects
Autori
Vašiček, Davor ; Juričić, Damir ; Marenjak, Saša
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Smart Governmensts, Regions and Cities
/ Drezgić, Saša ; Žiković, Saša ; Tomljanović, Marko - Rijeka : Sveučilište u Rijeci Ekononski fakultet, 2020, 317-328
ISBN
978-953-7813-22-0
Skup
The second scientific conference entitled Economics of digital transformation ''Smart governments, regions and cities“
Mjesto i datum
Rijeka, Hrvatska; Opatija, Hrvatska, 02.06.2019. - 04.06.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
smart cities, risks, contracting, financial modelling
Sažetak
Smart cities projects, as with any investment, carry a series of risks stemming from internal and external factors. Risk materialization throughout the lifecycle of a project determines the efficiency of a project, i.e., the degree to which goals are achieved as defined at the beginning of the project. Accordingly, procedures for identifying (defining individual risks) and quantifying (determining the financial value of the risk) are particularly important for proper preparation of a smart city project. These projects, unlike other public projects in the area of social and economic infrastructure, where historical data exists and which can be used to determine the likelihood of risk distribution, are characterized by a lack of data and a relatively “wider” distribution of probability. This article defines the role and significance in the process of risk quantification using practical examples, and proposes a method for deriving the cost (income) and risk from probability distribution risks when contracting smart city projects, and when the project is procured by a traditional or alternative procurement model such as public- private partnership.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
POVEZANOST RADA
Ustanove:
Ekonomski fakultet, Rijeka,
Građevinski i arhitektonski fakultet Osijek
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Social Sciences & Humanities (CPCI-SSH)