Networking the environment: social network analysis in environmental management and local ecological knowledge studies

Salpeteur, Matthieu; Calvet-Mir, Laura; Díaz-Reviriego, Isabel; Reyes‐García, Victoria

doi:10.5751/es-08790-220141

Cited by 47 publications

(35 citation statements)

References 32 publications

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“…Since the publication of the book "Who Shall Survive" by the Romanian-American psychiatrist, psychosociologist, and educator Jacob Levy Moreno in 1934, research and development in the field of social network analysis has been exponentially increasing in a wide range of different areas [43][44][45][46][47][48][49]. It spans social and behavioral sciences [50], agriculture [51] health care [52] environment [53], law, national safety, criminology and terrorism [54], political science [55], organizational science industry, management and leadership [56], communication, and learning and media [57], just to name a few. J. Clyde Mitchell defined social network analysis as, "A specific set of linkages among a defined set of persons, with the additional property that the characteristics of these linkages as a whole may be used to interpret the social behavior of the persons involved" [58].…”

Section: History and Evolution Of Social Network Analysismentioning

confidence: 99%

Applying Social Network Analysis to Identify Project Critical Success Factors

Nunes

Abreu

2020

Sustainability

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A key challenge in project management is to understand to which extent the dynamic interactions between the different project people-through formal and informal networks of collaboration that temporarily emerge across a project´s lifecycle-throughout all the phases of a project lifecycle, influence a project's outcome. This challenge has been a growing concern to organizations that deliver projects, due their huge impact in economic, environmental, and social sustainability. In this work, a heuristic two-part model, supported with three scientific fields-project management, risk management, and social network analysis-is proposed, to uncover and measure the extent to which the dynamic interactions of project people-as they work through networks of collaboration-across all the phases of a project lifecycle, influence a project's outcome, by first identifying critical success factors regarding five general project collaboration types ((1) communication and insight, (2) internal and cross collaboration, (3) know-how and power sharing, (4) clustering, and (5) teamwork efficiency) by analyzing delivered projects, and second, using those identified critical success factors to provide guidance in upcoming projects regarding the five project collaboration types.Sustainability 2020, 12, 1503 2 of 32 competency and training are important factors, it is almost always the network factor that is the big key predictor of high performance in organizations and are usually characterized by having broader and diverse problem-solving networks fueled with positive energy [20]. But a broader network does not necessarily mean larger in size. Furthermore, some authors argue that when it comes to effective networks of collaboration, bigger does not always means better, but rather, superior quality means better [7,8]. However, creating a broad and diverse problem-solving network usually requires an extra mile from the employees of an organization, essentially because they need to be more flexible, accountable, and empowered, and proactively search and maintain such networks. This also means that more work will be done through informal networks of relationships, removing to a certain extent, the role of the formal organizational structure in several ways [8,21]. In fact, building a broader and more diverse problem-solving network requires a proper organizational structure that enables people to strategically create the necessary connections in an energized way. Usually, due its rigid nature, a formal organizational structure [6] is not able to provide for the needs of building such problem-solving networks [8,22]. However, either under the pressure or when highly motivated to get the work done, employees of an organization naturally engage in informal networks of collaboration, in order to overcome the natural constraints of the formal organizational structure to get the work done [8,22,23]. Very often these emerging informal networks are not ruled by the rational-legal authority system that the formal organizational structure provides ba...

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Section: History and Evolution Of Social Network Analysismentioning

confidence: 99%

Applying Social Network Analysis to Identify Project Critical Success Factors

Nunes

Abreu

2020

Sustainability

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“…Also, existing networks can be assessed in order to derive strategic starting points towards the future developments of a network and of human-nature-relations (e.g. Bodin and Crona, 2009;Newig et al, 2010;Calvet-Mir et al, 2015;Salpeteur et al, 2017).…”

Section: Social Network Analysismentioning

confidence: 99%

Network analysis of workshop activities reveals increasing transdisciplinarity of German biodiversity research community

Geschke

Lutz

Vohland

2020

Preprint

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Boundary spanning activities in the biodiversity science-policy interface are urgently needed. Effective science communication and uptake of scientific findings by policymakers is crucial for a successful, cross-scale policy implementation. For this, national platforms promoting knowledge exchange between different stakeholder groups are key. Established in 2009, the Network-Forum on Biodiversity Research Germany (NeFo) until 2018 has organized more than 40 workshops bringing together actors from science, policy and society. In this paper, we present a network and cluster analysis of these NeFo workshops. Based on this, we discuss the importance of sciencepolicy interface projects and networks as knowledge brokers and boundary organizations, as well as challenges in using network analysis as a tool for evaluating workshop impacts. Based on the network analysis outcomes as well as experiences in the conduction of workshops, recommendations to strengthen the innovation impact of networking efforts are drawn.

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“…In addition, it is better to use an "egocentric" design to analyze a personal network in the immediate locality of a given actor (Marsden 2002). Ego-centric networks represent the respective relational communities of a set of actors that are not necessarily connected (Salpeteur et al 2017). Two ego-network features (ego-degree centrality and egocentric betweenness) were applied to aggregate stakeholders into homogeneous groups within the context of secondary spruce conversions in the Ukrainian Carpathians.…”

Section: Stakeholder Aggregationmentioning

confidence: 99%

Stakeholder Analysis to Support Secondary Norway Spruce (Picea abies (L.) Karst.) Forest Conversion in the Ukrainian Carpathians

Pelyukh

Paletto²

2019

Acta Silvatica Et Lignaria Hungarica

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Stakeholder analysis is a crucial step in the participatory process to involve all groups of interests in sustainable forest management. This paper aims to develop a method of stakeholder analysis to identify and classify stakeholders involved in secondary Norway spruce (Picea abies (L.) Karst.) stand conversions. The method is based on a questionnaire survey and structured into three stages: (1) stakeholder identification; (2) analytical characterization of stakeholders; and (3) stakeholder aggregation. Stakeholders are classified according to their interest level and importance while considering the relationships among them (social network analysis). Stakeholder analysis is applied in the Ukrainian Carpathians, which is characterized by cultural and economic dependence on forest resources. The results highlight seven "supporters" and six "opponents" as well as three key stakeholders and four primary stakeholders. We propose involving up to three stakeholders from each homogeneous group to balance stakeholder contributions and enhance the democratization of the forest conversion decision-making process.adaptive complexity / Norway spruce / forest management / questionnaire survey / social network analysis / public participation Kivonat -Az érdekelt felek elemzése az Ukrán Kárpátok mesterségesen létrehozott norvég lucfenyő (Picea abies (L.) Karst.) erdeinek átalakításához. Az érdekelt felek elemzése kulcsfontosságú lépés az összes érdekcsoport tartamos erdőgazdálkodásba való bevonásának folyamatában. A tanulmány célja a mesterségesen létrehozott norvég lucfenyő (Picea abies (L.) Karst.) állomány átalakításában részt vevő érintettek azonosítására és osztályozására kifejlesztett módszer bemutatása. A módszer kérdőíves felmérésen alapul, és három szakaszra tagolódik: (1) az érdekelt felek azonosítása; (2) az érdekelt felek analitikus jellemzése; és (3) az érdekelt felek összesítése. Az érdekelt feleket érdekeltségi szintjük és jelentőségük alapján osztályozzuk, miközben figyelembe vesszük a közöttük fennálló kapcsolatokat (közösségi hálózatok elemzése). Az érdekelt felek elemzését az Ukrán Kárpátokban alkalmazzák, amelyet az erdészeti erőforrásoktól való kulturális és gazdasági függőség jellemez. Az eredmények hét "támogatót" és hat "ellenzőt", valamint három kulcsfontosságú és négy elsődleges érdekelt felet emelnek ki. Javasoljuk, hogy mindegyik homogén csoportból legfeljebb három érdekelt felet vonjanak be az érdekeltek közreműködésének kiegyensúlyozása és az erdő átalakításáról szóló döntéshozatali folyamat demokratizálásának elősegítése érdekében. adaptív komplexitás / norvég lucfenyő / erdőgazdálkodás / kérdőíves felmérés / közösségi háló elemzés / a nyilvánosság részvétele

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Networking the environment: social network analysis in environmental management and local ecological knowledge studies

Cited by 47 publications

References 32 publications

Applying Social Network Analysis to Identify Project Critical Success Factors

Applying Social Network Analysis to Identify Project Critical Success Factors

Network analysis of workshop activities reveals increasing transdisciplinarity of German biodiversity research community

Stakeholder Analysis to Support Secondary Norway Spruce (Picea abies (L.) Karst.) Forest Conversion in the Ukrainian Carpathians

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