Rina Suryani Oktari, Bokiraiya Latuamury, Rinaldi Idroes, Hizir Sofyan, Khairul Munadi
Knowledge has an important role in reducing disaster risk. However, at the level of policy and practice, this issue is rarely dealt with in a systematic and in-depth manner. Therefore, using an approach based on the Dynamic Theory of Organisational Knowledge Creation of Nonaka (1994), this research intends to develop and analyse the structure of a new Knowledge Creation model to increase community resilience. This study used a cross-sectional design survey of 537 respondents who live in coastal cities in Indonesia. Data analysis was conducted using the Structural Equation Modelling (SEM) method. The results of the model feasibility test show that the hypothesised pathway among the variables under study has a strong statistical significance. The variables are: i) knowledge assets; ii) ba; iii) Socialisation, Externalisation, Combination, and Internalisation (SECI); iv) enablers; v) disaster preparedness; and vi) community resilience. Therefore, this study concludes that the proposed Knowledge Creation for Community Resilience (KCCR) model provides a fairly good fit for empirical data. It is hoped that the KCCR model that has been developed in this study will be of use to education authorities and disaster management agencies, at both local and national levels, and particularly in influencing the planning and implementation of community preparedness in facing disasters. This research is expected to enrich studies in the field of knowledge management, especially in the public knowledge domain, in dealing with disasters and providing recommendations, for policymakers and practitioners to incorporate aspects of knowledge management into efforts to increase community resilience. © 2022
Graduate School of Mathematics and Applied Science, Universitas Syiah Kuala, Jl. Tgk. Syech Abdul Rauf, Darussalam, Banda Aceh, 23111, Indonesia; Tsunami & Disaster Mitigation Research Centre (TDMRC), Jl. Prof. Dr. Ibrahim Hasan, Ulee Lheue, Meuraxa, Banda Aceh, 23232, Indonesia; Graduate Program in Disaster Science, Universitas Syiah Kuala, Jl. Hamzah Fansuri No. 4 Hyogo Prefecture Building, Darussalam, Banda Aceh, 23111, Indonesia; Faculty of Medicine, Universitas Syiah Kuala, Jl. Tgk. Syech Abdul Rauf, Darussalam, Banda Aceh, 23111, Indonesia; Department of Forestry, Faculty of Agriculture, University of Pattimura, Jl. Ir.M. Putuhena, Kampus UNPATTI Poka-Ambon, 97233, Indonesia; Department of Chemistry, Faculty of Mathematics and Natural Science, Universitas Syiah Kuala, Jl. Tgk. Syech Abdul Rauf, Darussalam, Banda Aceh, 23111, Indonesia; Department of Statistics, Faculty of Mathematics and Natural Science, Universitas Syiah Kuala, Jl. Tgk. Syech Abdul Rauf, Darussalam, Banda Aceh, 23111, Indonesia; Department of Electrical and Computer Engineering, Faculty of Engineering, Universitas Syiah Kuala, Jl. Tgk. Syech Abdul Rauf, Darussalam, Banda Aceh, 23111, Indonesia
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