A social identity perspective on interoperability in the emergency services: Emergency responders' experiences of multiagency working during the COVID‐19 response in the UK

Davidson, Louise; Carter, Holly; Amlôt, Richard; Drury, John; Haslam, S. Alexander; Radburn, Matthew; Stott, Clifford

doi:10.1111/1468-5973.12443

Cited by 6 publications

(3 citation statements)

References 52 publications

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“…Social identity theory (SIT) explains how people's group affiliations impact their attitudes, activities, and interactions [32]. In crisis scenarios, SIT suggests that people's group identification can influence their responses, including increased in-group cooperation and potential intergroup conflicts [48]. Understanding social identities allows for the identification and addressing of specific needs, challenges, and disparities faced by different social groups, ensuring more targeted and equitable crisis response efforts [34,35].…”

Section: Social Identity Perspectives In Collective Capabilities Duri...mentioning

confidence: 99%

“…Though not examined in the energy context, collective actions in crisis scenarios have been investigated in a) small-scale crisis scenarios, which pertain to local or regional events [35,48], and b) large-scale environmental crises [50]. In small-scale crisis scenarios, Davidson et al [48] explore the concept of shared social identity among local-level responders during the COVID-19 pandemic in the UK. He highlights the role of preexisting relations and a sense of shared common fate in facilitating collective activities.…”

Section: Social Identity Perspectives In Collective Capabilities Duri...mentioning

confidence: 99%

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A socially intelligent approach to consumers’ collective capabilities in smart grids

Bagheri-Moghaddam,

Oliveira,

Atkins

et al. 2023

2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

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There is a pressing need to investigate consumers' social relations within energy systems particularly in the context of socially smart grids at the domestic level. However, no studies to date have categorised or explained how such social relations manifest and what role different consumers play in managing home energy demand. This work provides for the first time, a categorisation of household archetypes through the social relations that govern them. This study draws on mixed data including a large-scale ethno-visual survey and interviews conducted with energy consumers in Glasgow and Bristol, UK. The analysis forms part of a wider study which integrates social identity theory (SIT), practice theory and rhythm-analysis. We primarily focus on insights derived from SIT as an approach to identifying consumers' capabilities in smart energy systems and Home Energy Management (HEM) through a study of social relations. The findings reveal novel perspectives on how social identities shape HEM patterns and how the consequent sociospatial and technical implications play a role in future demand reduction and the development of socially smart grids. The contribution of this study is two-fold; firstly, to demonstrate how prioritising social practices, identities, and rhythm-analysis can lead to novel interventions in smart grids and redefine the roles of the community, and neighbourhoods, and secondly to discuss the policy implications for planning future automated demand management via the acquisition of new socio-spatial insights into how diverse social identities and practices can foster just transitions and equitable energy futures in the UK and beyond.

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Section: Social Identity Perspectives In Collective Capabilities Duri...mentioning

confidence: 99%

Section: Social Identity Perspectives In Collective Capabilities Duri...mentioning

confidence: 99%

A socially intelligent approach to consumers’ collective capabilities in smart grids

Bagheri-Moghaddam,

Oliveira,

Atkins

et al. 2023

2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

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“…When characterizing interorganizational networks, prior studies have consistently identified numerous challenges in cross‐sector collaboration due to institutional disparities and differences in information systems (Lee et al, 2023; Nick et al, 2023; Wang et al, 2022). This ‘wall’ hampers information flow and diminishes the efficiency of interorganizational collaboration networks in emergency response (Davidson, 2023; Esteve et al, 2013). Building upon this understanding, scholars have investigated the antecedents of emergency management networks and examined the drivers behind their formation (McGuire & Silvia, 2010; Ramírez de la Cruz et al, 2020; Sapat et al, 2019; Zhang, Zou, et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

What factors contribute to the formation of interorganizational collaboration networks: A longitudinal study in response to COVID‐19 emergency

Wang,

Hou,

Feng

2024

Contingencies & Crisis Mgmt

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In the realm of addressing large‐scale emergencies, interorganizational collaboration emerges as a crucial strategy for effectively mitigating crises. However, the existence of institutional and procedural disparities poses significant challenges in establishing collaborative networks among diverse organizations. Moreover, the determinants influencing cooperative formations exhibit heterogeneity across distinct network structures. This research employs proximity theory and the Exponential Random Graph Model (ERGM) to comprehensively examine the dynamic evolution of interorganizational collaboration networks. Our primary objective is to investigate the effects of institutional proximity, organizational proximity, geographical proximity and social proximity on the formation of interorganizational collaboration networks. Textual data was meticulously collected from the Wisers database and official websites. The findings underscore the pivotal roles of institutional and organizational proximity in fostering interorganizational collaboration networks, while the impact of geographical proximity is relatively insignificant. Additionally, we delve into the driving factors that influence the formation of diverse structural networks. Social proximity emerges as a significant catalyst for horizontal collaborative networks but impedes the establishment of vertical collaborative relationships. Furthermore, we partition the entire emergency response process into six stages to explore the dynamic evolution characteristics of these networks. The results reveal an overall decentralized structure with a tendency toward clustering in the collaborative network. These findings hold substantial significance as they elucidate the influential factors driving the formation of diverse collaborative networks in a dynamic context. Therefore, this research bears implications for policymakers and practitioners aiming to enhance their emergency response capabilities with optimal efficiency.

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Exploring community level multi-agency communication and collaboration during the emergency response to the covid-19 pandemic

Wilkinson,

Richmond

2023

Public Health in Practice

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A social identity perspective on interoperability in the emergency services: Emergency responders' experiences of multiagency working during the COVID‐19 response in the UK

Abstract: Clifford (2022) A social identity perspective on interoperability in the emergency services: emergency responders' experiences of multi-agency working during the COVID-19 response in the UK. Journal of Contingencies and Crisis Management.

Cited by 6 publications

References 52 publications

A socially intelligent approach to consumers’ collective capabilities in smart grids

A socially intelligent approach to consumers’ collective capabilities in smart grids

What factors contribute to the formation of interorganizational collaboration networks: A longitudinal study in response to COVID‐19 emergency

Exploring community level multi-agency communication and collaboration during the emergency response to the covid-19 pandemic

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