Building a conceptual architecture and stakeholder map of a system-of-systems for disaster monitoring and early-warning

Horita, Flávio E. A.; Rhodes, Donna H.; Inocêncio, Thiago J.; Gonzales, Gustavo R.

doi:10.1145/3330204.3330215

Cited by 5 publications

(4 citation statements)

References 23 publications

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“…Previous research shows that warning systems are, generally, a system of systems [52,53] operated in a multi-stakeholder environment, with the active involvement of authorised warning senders and receivers. Such warning systems are also backed by numerous tools and technologies to improve the efficiencies of the entire process [54].…”

Section: Discussionmentioning

confidence: 99%

Critical Failure Factors of Flood Early Warning and Response Systems (FEWRS): A Structured Literature Review and Interpretive Structural Modelling (ISM) Analysis

2023

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Flood warning and response systems are essential components of risk reduction strategies with the potential to reduce loss of life and impact on personal assets. However, recent flood incidents have caused significant loss of human lives due to failures in current flood warning and response mechanisms. These failures are broadly related to policies concerning, and governance aspects within, warning generation, the behaviour of communities in responding to early warnings, and weaknesses in associated tools and technologies used in communicating early warnings and responding. Capturing critical failure factors affecting flood warning and response systems can provide opportunities for making corrective measures and for developing a more advanced and futuristic system for early flood warnings. This paper reports the findings of a structured review that was conducted to identify critical failure factors in flood early warning and response systems. This study found twenty-four critical failure factors (CFFs). The interpretive structural modelling (ISM) approach conducted in this study resulted in identifying four different types of failure factors (autonomous, dependent, linkage, and independent) with varying dependence and driving powers. Analysis shows that governance, leadership, finance, standard operating procedures (SoP), and community engagement are the most dominating factors with the highest driving factor, which can overcome other dependent factors. The outcome of this review could be helpful for policymakers and practitioners in overcoming failure factors and implementing effective early warning and response systems.

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Section: Discussionmentioning

confidence: 99%

Critical Failure Factors of Flood Early Warning and Response Systems (FEWRS): A Structured Literature Review and Interpretive Structural Modelling (ISM) Analysis

2023

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“…Nos últimos anos, a pesquisa e o desenvolvimento de sistemas convergiu de sistemas isolados (monolíticos) para sistemas complexos compostos de múltiplos outros sistemas heterogêneos e independentes, os Sistemas-de-Sistemas (SoS). Embora ainda não exista uma definição clara de SoS, esses sistemas podem ser entendidos como uma classe de sistemas que é capaz de combinar sistemas constituintes, que são heterogêneos e independentes, e trabalham em consonância para atingir um objetivo [10,12,15] Com base nas características dos SoS apresentadas anteriormente, percebe-se que essa classe de sistemas está também inserida na classe de sistemas críticos de larga escala, pois eles são frequentemente aplicados em diversos contextos críticos tais como militar [4,7,12,14], saúde [2,19] e gestão de desastres [1,6,8,9,[15][16][17], possuem corportamentos emergentes que podem ou não ser desejados e são distribuídos em larga escala (Distribuição Geográfica).…”

Section: Referencial Teóricounclassified

PASoS: Processo para definição da arquitetura de Sistemas-de-Sistemas

Inocêncio

Gonzales

Horita

2019

Anais Do I Brazilian Workshop on Large-Scale Critical Systems (BWare 2019)

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Um Sistema-de-Sistemas (SoS) é uma classe de sistema caracterizada pela união de sistemas constituintes que são independentes no modo operacional e gerencial e que juntos desempenham novas funcionalidades. Devido as suas características de evolução e interopelabilidade, os SoS são amplamente usados em diversos contextos críticos como gestão de desastres, sistemas de cuidados com a saúde, sistemas militares e cidades inteligentes. Um processo arquitetural de SoS visa definir os stakeholders, sistemas constituintes e como eles interagem entre si e os comportamentos emergentes produzidos por essas interações. Todos esses elementos são definidos a partir de um entendimento do contexto por meio da engenharia de requisitos, descrição da arquitetura e da modelagem das visões arquiteturais do sistema. Pesquisas recentes mostraram poucos avanços no estudo de processos arquiteturais nessa classe de sistema e nesse sentido pesquisas são necessárias para atender às demandas encontradas na literatura para o projeto, análise, avaliação e evolução de arquiteturas em SoS. Com base nisso, esta pesquisa apresenta o PASoS (Processo para definição da Arquitetura de Sistemas-de-Sistemas), um processo criado para ser uma instância do meta-processo SOAR ("Meta-process for SoS Software Architectures") que visa definir por quais elementos um processo arquitetural em SoS deve ser composto. Para isso, em trabalhos futuros os elementos essenciais do SOAR (Alpha e espaços de atividades) serão generalizados em três fases do PASoS, onde em cada uma delas serão elencados sequencialmente os espaços de atividades definidos pelo SOAR que no PASoS são responsáveis por produzir os artefatos arquiteturais (Alphas do SOAR). Espera-se que essa instância de processo oriente os arquitetos de SoS na sequencia de etapas necessárias para construção da arquitetura do SoS para contextos críticos.

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“…There are several methods and techniques for undertaking stakeholder analysis, such as standard stakeholder map, stakeholder triage, sociogram (Clayton, 2014; De Vita et al, 2016; Horita et al, 2019; Martikainen et al, 2015; Paletto et al, 2015), and multicriteria decision‐making techniques such as fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) (Ekmekcioğlu et al, 2021; Nilsson et al, 2016; Ozturkoglu & Turker, 2013). Proposed by Hwang and Yoon (1981), the TOPSIS is one of the most widely used Multi‐Criteria Decision Aid (MCDA) or Multi‐Criteria Decision Making (MCDM) methods for solving real‐world decision problems (Behzadian et al, 2012; Tzeng & Huang, 2011).…”

Section: Introductionmentioning

confidence: 99%

Actors in conflict of interest in Iran's health system: Ranking and policy recommendations for conflict of interest management

Takian

Gooshki

Mohammadi

et al. 2023

World Med & Health Policy

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We conducted this study to rank conflict of interest (COI) actors in Iran's health system. Based on a review of relevant literature, we extracted a list of 27 actors within seven categories who play roles in the COI in the health system. We considered three criteria for ranking the actors: the actor's interest, power, and authority concerning COI. Each actor scored one to five on the Likert scale in every criteria. Using descriptive statistics, each actor's mean and standard deviation of its scores were calculated in these three indicators. The actors were ranked using the fuzzy TOPSIS method. The results showed the leading players in abusing the COI in the health system of Iran are the “Food and Drug Organization” and the “Parliament.” The role and capacity of civil society and nongovernmental organizations as essential arms of oversight and transparency should not be overlooked. The government needs to enhance its efforts, we envisage, to utilize the capability of these actors by opening a dialog with them and providing the necessary training for COI.

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Building a conceptual architecture and stakeholder map of a system-of-systems for disaster monitoring and early-warning

Cited by 5 publications

References 23 publications

Critical Failure Factors of Flood Early Warning and Response Systems (FEWRS): A Structured Literature Review and Interpretive Structural Modelling (ISM) Analysis

Critical Failure Factors of Flood Early Warning and Response Systems (FEWRS): A Structured Literature Review and Interpretive Structural Modelling (ISM) Analysis

PASoS: Processo para definição da arquitetura de Sistemas-de-Sistemas

Actors in conflict of interest in Iran's health system: Ranking and policy recommendations for conflict of interest management

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