Introducing the SWOT scorecard technique to analyse diversified ae collective schemes with a DEX model

Janja Rudolf (Author), Andrej Udovč (Author)

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.

Keywords

agri-environmental public goods;multi-criteria decision making;decision expert;agrienvironmental collective scheme;SWOT analysis;strategic planning;scorecard;qualitative data;performance;

Data

Language:	English
Year of publishing:	2022
Typology:	1.01 - Original Scientific Article
Organization:	UL BF - Biotechnical Faculty
UDC:	63
COBISS:	93295875
ISSN:	2071-1050
Views:	191
Downloads:	63
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	kmetijsko-okoljske javne dobrine;večkriterijsko odločanje;strokovnjak za odločanje;kmetijsko-okoljska kolektivna shema;SWOT analiza;strateško načrtovanje;kazalniki;kvalitativni podatki;izvedba;
Type (COBISS):	Article
Pages:	Str. 1-19
Volume:	ǂVol. ǂ14
Issue:	ǂNo. ǂ2 (785)
Chronology:	2022
DOI:	10.3390/su14020785
ID:	14271473