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Introducing the SWOT scorecard technique to analyse diversified AE collective schemes with a DEX model
ID
Rudolf, Janja
(
Author
),
ID
Udovč, Andrej
(
Author
)
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https://www.mdpi.com/2071-1050/14/2/785
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Abstract
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.
Language:
English
Keywords:
agri-environmental public goods
,
multi-criteria decision making
,
decision expert
,
agri-environmental collective scheme
,
SWOT analysis
,
strategic planning
,
scorecard
,
qualitative data
,
performance
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
BF - Biotechnical Faculty
Publication status:
Published
Publication version:
Version of Record
Year:
2022
Number of pages:
19 str.
Numbering:
Vol. 14, iss. 2, art. 785
PID:
20.500.12556/RUL-134406
UDC:
63
ISSN on article:
2071-1050
DOI:
10.3390/su14020785
COBISS.SI-ID:
93295875
Publication date in RUL:
13.01.2022
Views:
1159
Downloads:
170
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Record is a part of a journal
Title:
Sustainability
Shortened title:
Sustainability
Publisher:
MDPI
ISSN:
2071-1050
COBISS.SI-ID:
5324897
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
11.01.2022
Secondary language
Language:
Slovenian
Keywords:
kmetijsko-okoljske javne dobrine
,
večkriterijsko odločanje
,
strokovnjak za odločanje
,
kmetijsko-okoljska kolektivna shema
,
SWOT analiza
,
strateško načrtovanje
,
kazalniki
,
kvalitativni podatki
,
izvedba
Projects
Funder:
EC - European Commission
Funding programme:
H2020
Project number:
818190
Name:
Co-design of novel contract models for innovative agri-environmental-climate measures and for valorisation of environmental public goods
Acronym:
Contracts2.0
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