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agroBRIDGES Multi-Actor Framework Engagement Data Analysis

Authors: Portaz, María Jiménez; Chavrier, Nathalie; Álvarez, Paula Rosa; Efthymiadou, Eirini; Malliopoulos, George; Attard, Jennifer; Vehmas, Kaisa; +14 Authors

agroBRIDGES Multi-Actor Framework Engagement Data Analysis

Abstract

The multi-actor framework employed in agroBRIDGES foresees the creation of a regional Multi-Actor Platform (MAP) in the 12 focal European regions and countries of the project (Beacon Regions) as well as a Stakeholder Reference Group (SRG) at European level with a view to engaging stakeholders in the project’s activities. In this way, this dataset contains the engagement analysis of the MAP and the SRG members that have been selected as active participants in the activities carried out in the frame of the agroBRIDGES H2020 project, focused on building bridges between producers and consumers, thanks to the agroBRIDGES Toolbox developed and other supporting activities organized throughout the project. To achieve project objectives, results from MAPs and SRG management have been tracked during the first half of the project, and will continue to be monitored until the end of the project, in collaboration with all Beacon Region Leaders and the SRG Manager. In this first round of monitoring, with respect to the SRG, 20 stakeholders have been engaged, of which approximately 50% have had a high engagement, 30% a medium engagement, and 20% a low-to-none engagement. As part of the planned engagement analysis and based on the data provided by each of the Beacon Region Leaders, the initial and long-term number of MAP members, as well as the evolution in their level of engagement, have been monitored., getting a total of 179 MAP members currently engaged in the project. In a first evaluation, high engagement was generally achieved in approximately 80% of cases, with less engagement from some educational bodies and consumers. In the second round of monitoring, the MAPs were expanded to a total of 199 stakeholders in 12 countries, while the SRG synthesis remained unchanged. The activities of the project supported higher engagement of the MAPs, while collaboration with the SRG continued in an ad hoc basis, as pan-European activities were less frequently organised than regional ones. The countries involved are: Denmark Finland France Greece Ireland Italy Latvia Lithuania Netherlands Poland Spain Turkey The dataset contains: agroBRIDGES_StakeholderEngagement_2022.12.27_v1: Spreadsheet in .xlsx format, containing a table with all MAP members, classified by type of organization, country, and including the level of engagement of each of them. agroBRIDGES_StakeholderEngagement_2022.12.27_v1: Spreadsheet in .xlsx format, containing a table with all MAP members, classified by type of organization, country, and including the level of engagement of each of them. agroBRIDGES_StakeholderEngagement_2023.12.19_v2: Spreadsheet in .xlsx format, containing a table with all MAP members, classified by type of organization, country, and including the level of engagement of each of them. The data is updated up to December 2023. agroBRIDGES_MAP-Engagement_2023.12.19_v2: Spreadsheet in .xlsx format, where all MAP Engagement data are collected, classified by country. This file also includes a tab with indicators of how the level of engagement has been assigned. The data is updated up to December 2023. agroBRIDGES_SRG-Engagement_2022.12.27_v1: Spreadsheet in .xlsx format, where all data concerning SRG Engagement is collected. This file also includes a tab with indicators of how the level of engagement has been assigned.

Country
Netherlands
Keywords

multi-actor approach, agri-food, SFSC, multi-actor platforms, Multi-actor approach, stakeholder engagement, multi-country study, agro-food, Short Food Supply Chain (SFSC), agroBRIDGES

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visibility
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
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11
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