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Transforming Sensemaking and Perceptions on Meteorological Data to Inform Emergency Decision-Making
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2023 | Group Decision and Negotiation | Citations: 0
Authors: Lobosco, Dacy Câmara; de Carvalho, Paulo Victor Rodrigues

Abstract: After the catastrophe that occurred in the mountainous region of Rio de Janeiro, ... Expand

Abstract: After the catastrophe that occurred in the mountainous region of Rio de Janeiro, especially in the city of Nova Friburgo in January of 2011, caused by heavy rains, the population's perception of the risks associated with heavy rains was greatly affected. In the other hand, the civil defense agencies have great difficulties to predict the impacts of rainfall due to the limitations of the existing monitoring systems and due to the existing vulnerable communities. This paper describes how sharing sensemaking between the involved parties can transform the population's perceptions about rainfall impact to meteorological data for civil defense by filling gaps in the existing monitoring system and enable civil defense teams to inform and to guide the expectations of population for a more efficient response in emergency situations. Based on the Design Science Research methodology that seeks to develop and design solutions to solve a specific class of problem, a mobile phone application to share information between members of communities and the civil defense team was developed and tested. The test to verify the sensemaking transformation was done through a case study involving volunteers from the community and the civil defense team of Nova Friburgo during a real rainfall situation. The results showed that the continuous and iterative flow of information enables the sharing of sensemaking, indicating the importance of this process for decision-making during emergency response actions. Collapse

Semantic filters: defence industry higher education institution

Topics: sensemaking decision making emergency management mobile application smartphone

Methods: survey qualitative interview design science case study literature study

Theories: cognitive dissonance theory
A Model-Driven Method for the Systematic Literature Review of Qualitative Empirical Research

2012 | International Conference on Information Systems | Citations: 0
Authors: Oates, Briony June; Edwards, Helen; Wainwright, David William

Abstract: This paper explores a model-driven method for systematic literature reviews (SLR ... Expand

Abstract: This paper explores a model-driven method for systematic literature reviews (SLRs), for use where the empirical studies found in the literature search are based on qualitative research. SLRs are an important component of the evidence-based practice (EBP) paradigm, which is receiving increasing attention in information systems (IS) but has not yet been widely-adopted. We illustrate the model-driven approach to SLRs via an example focused on the use of BPMN (Business Process Modelling Notation) in organizations. We discuss in detail the process followed in using the model-driven SLR method, and show how it is based on a hermeneutic cycle of reading and interpreting, in order to develop and refine a model which synthesizes the research findings of previous qualitative studies. This study can serve as an exemplar for other researchers wishing to carry out model-driven SLRs. We conclude with our reflections on the method and some suggestions for further research. Collapse

Semantic filters: defence industry higher education institution

Topics: database system business process management decision making organizational context virtual teamwork

Methods: modeling language business process model and notation synthesis design science conceptual modelling

Theories: soft systems theory

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Transforming Sensemaking and Perceptions on Meteorological Data to Inform Emergency Decision-Making

A Model-Driven Method for the Systematic Literature Review of Qualitative Empirical Research