Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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    Nurturing partnerships to support data access for impact forecasts and warnings: Theoretical integration and synthesis
    (Elsevier B.V., 2024-04-15) Harrison SE; Potter SH; Prasanna R; Doyle EEH; Johnston D
    This paper presents a synthesis and theoretical integration of findings from a research project that explored the data needs and sources for implementing impact forecasts and warnings for hydrometeorological hazards. Impact forecasts and warnings (IFW) have received global attention in recent years as they offer a novel way of improving the communication of hazards and risks. The fundamental idea behind IFWs is to enable warning services to meaningfully communicate the anticipated outcomes, consequences, or impacts of the hazard interacting with society or the environment by incorporating knowledge about the underlying and dynamic exposure and vulnerability of people and assets. One key question for IFW implementation is about data needs and sources to inform IFWs.Using the Grounded Theory Methodology, we address the question “How can partnerships and collaboration better facilitate the collection, creation, and access to hazard, impact, vulnerability, and exposure data for IFWs?” Our findings point to partnerships and collaboration as a necessary strategy for implementing IFWs. Implementation requires accessing various types and sources of hazard, impact, vulnerability, and exposure data to assess and communicate the potential impacts of hydrometeorological hazards. Partnerships and collaboration facilitate the sharing of and access to required data and knowledge. Based on our findings, we provide recommendations to increase interagency communication and partnerships for IFWs and disaster risk reduction, such as making cohabitation arrangements between agencies, running joint training scenarios, and encouraging meteorological services and emergency responders to co-define tailored warning thresholds.
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    Micro-theory on knowledge transfer to foster disaster resilience: A grounded theory approach
    (Elsevier Ltd, 2021-11) Ahangama N; Prasanna R
    Although recent literature suggested that knowledge generation and dissemination in social networks influence resilience, research in knowledge transfer and social capital domains have shown a low tendency to integrate into theoretical frameworks. This paper discusses the process of building a micro-theory, which explains the dynamics of knowledge transfer in social networks of disaster responders in Sri Lanka. The proposed theory suggests the association among knowledge transfer, dimensions of social capital, and resilience in a disaster context. This study employs an interpretive case study research design, with an exploratory approach and uses grounded theory driven constant comparison method for data analysis. The transcriptions from 21 semi-structured interviews and participant observations of two disaster drill exercises used as the primary data source for the data analysis. The analysis of this study generates a coding pattern with six categories of concepts and proposes the theory of KTinSSC with the theoretical consensus from the two case studies. The proposed theory explains the knowledge transfer among responders who are focused mostly on the immediate survival and discusses the effect of knowledge transfer interactions on their normative beliefs. The study also suggests ways to attain higher levels of resilience among such survival-focused social groups.