Modeling Social Resilience in Communities

Santos, Eunice E.; Santos, Eugene; Korah, John; Thompson, Jeremy E.; Zhao, Yan; Murugappan, Vairavan; Russell, Jacob A.

doi:10.1109/tcss.2017.2780125

Cited by 13 publications

(8 citation statements)

References 53 publications

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“…La necesidad de abordar el estudio de la resiliencia social desde una perspectiva dinámica, multidisciplinar y multinivel, señalan un futuro donde la investigación apenas ha comenzado. No es sencillo establecer las relaciones precisas entre los niveles que permitan conocer la interdependencia que pueda darse entre ellos en términos de resiliencia (Santos et al, 2018), ni las relaciones causa-efecto que pueden darse en este tipo de fenómenos (Biesbroek et al, 2017). Además, la multiplicidad de interacciones posibles en esta aproximación multinivel multiplica el número de estrategias posibles de resiliencia, dificultando su estudio.…”

Section: Camino De La Resiliencia Socialunclassified

Variables implicadas en la resiliencia social

Velasco

Domínguez

2022

revVISUAL

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El objetivo de este artículo es objetivar varias variables involucradas en el crecimiento de la resiliencia social. Para ello, se ha realizado una aproximación conceptual del término que incluye la capacidad de una comunidad para, a partir de las dificultades, adaptarse y transformarse. Tras analizar los estudios más relevantes y señalar las dificultades existentes para la realización de modelos, se realizan agrupaciones de relaciones potencialmente desarrolladoras de la resiliencia social. Concluimos con que, mediante un proceso de inteligencia social, es posible guiar el desarrollo de las economías hacia espacios de innovación y transformabilidad que aumenten la resiliencia social.

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Section: Camino De La Resiliencia Socialunclassified

Variables implicadas en la resiliencia social

Velasco

Domínguez

2022

revVISUAL

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“…The literature reveals a lack of research regarding how the participants interact during a disaster and how socially cohesive communities suffering from the disaster are. Consequently, social cohesion can help strengthen the resilience and, in turn, the aid provided to communities in need (Cimellaro, Renschler, Reinhorn, & Arendt, 2016; Kimhi, 2016; Rachunok, Bennett, & Nateghi, 2019; Reuter & Spielhofer, 2017; Roy, Cebrian, & Hasan, 2019; Santos et al., 2018; Trakas, Panteli, Hatziargyriou, & Mancarella, 2019; Wilkin, Biggs, & Tatem, 2019). Thus, it becomes relevant to examine online communities and how socially cohesive they are.…”

Section: Introductionmentioning

confidence: 99%

Social Cohesion: Mitigating Societal Risk in Case Studies of Digital Media in Hurricanes Harvey, Irma, and Maria

Gongora-Svartzman

Ramírez-Márquez

2021

Risk Analysis

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Natural disasters affect thousands of communities every year, leaving behind human losses, billions of dollars in rebuilding efforts, and psychological affectation in survivors. How fast a community recovers from a disaster or even how well a community can mitigate risk from disasters depends on how resilient that community is. One main factor that influences communities' resilience is how a community comes together in times of need. Social cohesion is considered to be"the glue that holds society together, which can be better examined in a critical situation. There is no consensus on measuring social cohesion, but recent literature indicates that social media communications and communities play an essential role in today's disaster mitigation strategies.This research explores how to quantify social cohesion through social media outlets during disasters. The approach involves combining and implementing text processing techniques and graph network analysis to understand the relationships between nine different types of participants during hurricanes Harvey, Irma, and Maria. Visualizations are employed to illustrate these connections, their evolution before, during, and after disasters, and the degree of social cohesion throughout their timeline. The proposed measurement of social cohesion through social media networks presented in this work can provide future risk management and disaster mitigation policies. This social cohesion measure identifies the types of actors in a social network and how this network varies daily. Therefore, decisionmakers could use this measure to release strategic communication before, during, and after a disaster strikes, thus providing relevant information to people in need.

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“…Recently, some novel modes have been introduced by academic researchers. For example, the social resilience of communities and its model have been introduced by Santos et al [32]. (3) Similar applications can be used in more crossorganizational improvement projects.…”

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confidence: 99%

A Kind of Change Management Method for Global Value Chain Optimization and Its Case Study

Guang-yu

Helo

et al. 2022

IEEE Trans. Comput. Soc. Syst.

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Any successful change in an organization requires an appropriate change management method and a process for involved staff and department to accept the change and become engaged in order to achieve its success. It is even more important and difficult to adopt a novel change management method to bring multiple organizations across the business value chain into the change implementation. This research does not focused on change management within a single organization, but rather emphasizes a change management method including an appropriate change framework, well-defined Critical Success Factors (CSFs) and related tools for implementing change in multiple organizations. The paper introduces one kind of change management method to support a process change through Global Value Chain (GVC) in multiple organizations, and the method is used in a case study to achieve a successful change. In order to succeed in optimizing GVC performance, this research applies the proposed change management method to the case GVC, to support technical change by obtaining the staff's full commitment and engagement. The achieved results from the case study prove that successful change comes not only through technical solutions implemented in the problem process throughout the GVC, but also through strong support and engagement from all organizations and involved staff. The proposed change management method not only helped the case GVC to implement change successfully, but also can help the relevant multiple organizations to improve GVC performance and add value by optimizing their problem process.

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Modeling Social Resilience in Communities

Cited by 13 publications

References 53 publications

Variables implicadas en la resiliencia social

Variables implicadas en la resiliencia social

Social Cohesion: Mitigating Societal Risk in Case Studies of Digital Media in Hurricanes Harvey, Irma, and Maria

A Kind of Change Management Method for Global Value Chain Optimization and Its Case Study

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