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Introducing the SWOT scorecard technique to analyse diversified AE collective schemes with a DEX model
ID
Rudolf, Janja
(
Avtor
),
ID
Udovč, Andrej
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(7,21 MB)
MD5: 822E0D41790138D29D2E2DE94583A1D9
URL - Izvorni URL, za dostop obiščite
https://www.mdpi.com/2071-1050/14/2/785
Galerija slik
Izvleček
Comparing diversified agri-environmental (AE) collective schemes in their capability to provide AE public goods faces great challenges, mostly because of their diversified nature and relatively new way to approach the provision of AE public goods. The state of the art is that there are not yet any common quantitative indicators or data to build a multi-criteria decision-making (MCDM) model to compare it with other practices and to set the strategic plan for the scheme’s improvement. Nevertheless, some qualitative common data of SWOT analyses are available, but the question remains how to simultaneously compare several SWOT analyses in an MCDM model. This study introduces a new way of transforming the qualitative results of SWOT analyses to fit in the MCDM Decision Expert (DEX) model using a special transformation technique SWOT scorecard. The SWOT scorecard evaluates the importance of qualitative results of several SWOT analyses simultaneously in a quantitative way, describing with points how supportive the environment is to each criterion in the DEX model. The SWOT scorecard keeps track of the original results from SWOT analysis and considers the diversity of AE schemes, which results in an appearance of the convergence points. This gives a key for comparing the AE collective schemes in providing AE public goods. Furthermore, it gives a solution for discussing the synergy between aspects that affect AE public goods provision for every AE scheme investigated. The technique is tested via five AE collective schemes in the DEXi program and gives deeper insight into factors that affect each scheme’s performance.
Jezik:
Angleški jezik
Ključne besede:
agri-environmental public goods
,
multi-criteria decision making
,
decision expert
,
agri-environmental collective scheme
,
SWOT analysis
,
strategic planning
,
scorecard
,
qualitative data
,
performance
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
BF - Biotehniška fakulteta
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2022
Št. strani:
19 str.
Številčenje:
Vol. 14, iss. 2, art. 785
PID:
20.500.12556/RUL-134406
UDK:
63
ISSN pri članku:
2071-1050
DOI:
10.3390/su14020785
COBISS.SI-ID:
93295875
Datum objave v RUL:
13.01.2022
Število ogledov:
1010
Število prenosov:
162
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Objavi na:
Gradivo je del revije
Naslov:
Sustainability
Skrajšan naslov:
Sustainability
Založnik:
MDPI
ISSN:
2071-1050
COBISS.SI-ID:
5324897
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:
11.01.2022
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
kmetijsko-okoljske javne dobrine
,
večkriterijsko odločanje
,
strokovnjak za odločanje
,
kmetijsko-okoljska kolektivna shema
,
SWOT analiza
,
strateško načrtovanje
,
kazalniki
,
kvalitativni podatki
,
izvedba
Projekti
Financer:
EC - European Commission
Program financ.:
H2020
Številka projekta:
818190
Naslov:
Co-design of novel contract models for innovative agri-environmental-climate measures and for valorisation of environmental public goods
Akronim:
Contracts2.0
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