single-dr.php

JDR Vol.16 No.7 pp. 1097-1106
(2021)
doi: 10.20965/jdr.2021.p1097

Paper:

Knowledge Creation for Community Resilience (KCCR): A Conceptual Model

Rina Suryani Oktari*1,*2,*3,†, Khairul Munadi*2,*4, Rinaldi Idroes*5, and Hizir Sofyan*6

*1Department of Family Medicine, Faculty of Medicine, Universitas Syiah Kuala
Jl. Tgk. Syech Abdul Rauf, Darussalam, Banda Aceh 23111, Indonesia

Corresponding author

*2Tsunami & Disaster Mitigation Research Center (TDMRC), Universitas Syiah Kuala, Banda Aceh, Indonesia

*3Graduate School of Mathematics and Applied Science, Universitas Syiah Kuala, Banda Aceh, Indonesia

*4Department of Electrical and Computer Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia

*5Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh, Indonesia

*6Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh, Indonesia

Received:
September 21, 2020
Accepted:
June 30, 2021
Published:
October 1, 2021
Keywords:
knowledge management, SECI, disaster, climate change
Abstract

The lack of adequate knowledge sharing and knowledge creation about disasters and climate change has been identified as a reason behind the unsatisfactory performance of climate-adaptation and disaster-management practices. This study aimed to identify the critical factors in knowledge creation in order to improve community resilience and propose a conceptual model. The main objectives of this study were to i) identify the key factors supporting the creation of knowledge, ii) identify the key factors promoting community resilience, and iii) develop a conceptual model to improve community resilience based on knowledge creation. This study used both quantitative and qualitative methods. A cross-sectional analysis was conducted in four coastal subdistricts in Banda Aceh, Indonesia. A total of 300 samples were obtained from among respondents living in the coastal area using a purposive random sampling technique. The paper presents a literature review exploring theories and concepts concerning the factors supporting knowledge creation as a way to increase community resilience. A conceptual framework is then generated based on the results of field surveys and prior studies. The knowledge-level survey results indicate a need to develop a community resilience framework based on Knowledge Creation Theory as the foundation for decision making and ensure the transmission of knowledge across generations. This study proposes a conceptual model of Knowledge Creation for Community Resilience (KCCR).

Cite this article as:
R. Oktari, K. Munadi, R. Idroes, and H. Sofyan, “Knowledge Creation for Community Resilience (KCCR): A Conceptual Model,” J. Disaster Res., Vol.16 No.7, pp. 1097-1106, 2021.
Data files:
References
  1. [1] United Nations Environment Programme (UNEP), “UN Annual Report 2018: Putting the Environment at the heart of people’s lives,” https://wedocs.unep.org/bitstream/handle/20.500.11822/27689/AR2018_EN.pdf [accessed July 19, 2020]
  2. [2] S. Blackburn, M. Pelling, and C. Marques, “Megacities and the coast: global context and scope for transformation,” E. Wolanski, J. Day, M. Elliot, and R. Ramachandran (Eds.), “Coasts and Estuaries: the Future,” pp. 661-669, Elsevier, doi: 10.1016/B978-0-12-814003-1.00038-1, 2019.
  3. [3] J. Stepheson, K. Newman, and S. Mayhew, “Population dynamics and climate change: what are the links?,” J. Public Health, Vol.32, No.2, pp. 150-156, doi: 10.1093/pubmed/fdq038, 2010.
  4. [4] B. Neumann, A. T. Vafeidis, J. Zimmermann, and R. J. Nicholls, “Future coastal population growth and exposure to sea-level rise and coastal flooding – A global assessment,” PloS One, Vol.10, No.6, e0118571, doi: 10.1371/journal.pone.0118571, 2015.
  5. [5] A. Gracia, N. Rangel-Buitrago, J. A. Oakley, and A. T. Williams, “Use of ecosystems in coastal erosion management,” Ocean Coast. Manag., Vol.156, pp. 277-289, doi: 10.1016/j.ocecoaman.2017.07.009, 2018.
  6. [6] M. Howes, “Disaster risk management and climate change adaptation revisited,” J. P. Palutikof, S. L. Boulter, J. Bernett, and D. Rissik (Eds.), “Applied studies in climate adaptation,” pp. 407-414, John Wiley & Sons, doi: 10.1002/9781118845028.ch45, 2015.
  7. [7] I. Nonaka and H. Takeuchi, “The knowledge-creating company: How Japanese companies create the dynamics of innovation,” Oxford University Press, 1995.
  8. [8] A. Fujieda and H. Kobayashi, “The Potential of Fijian Traditional Housing to Cope with Natural Disasters in Rural Fiji,” J. Disaster Res., Vol.8, No.1, pp. 18-27, doi: 10.20965/jdr.2013.p0018, 2013.
  9. [9] R. S. Oktari, K. Shiwaku, K. Munadi, Syamsidik, and R. Shaw, “A conceptual model of a school–community collaborative network in enhancing coastal community resilience in Banda Aceh, Indonesia,” Int. J. of Disaster Risk Reduction, Vol.12, pp. 300-310, doi: 10.1016/j.ijdrr.2015.02.006, 2015.
  10. [10] R. S. Oktari, K. Shiwaku, K. Munadi, Syamsidik, and R. Shaw, “Enhancing community resilience towards disaster: The contributing factors of school-community collaborative network in the tsunami affected area in Aceh,” Int. J. of Disaster Risk Reduction, Vol.29, pp. 3-12, doi: 10.1016/j.ijdrr.2017.07.009, 2018.
  11. [11] A. Rahman, A. Sakurai, and K. Munadi, “The analysis of the development of the Smong story on the 1907 and 2004 Indian Ocean tsunamis in strengthening the Simeulue island community’s resilience,” Int. J. of Disaster Risk Reduction, Vol.29, pp. 13-23, doi: 10.1016/j.ijdrr.2017.07.015, 2018.
  12. [12] S. Haruyama and Y. Taresawa, “Local community activities for disaster reduction in regard to the 2011 Tsunami,” Geographia Polonica, Vol.87, No.3, pp. 299-306, doi: 10.7163/GPol.2014.27, 2014.
  13. [13] A. Opdyke, A. Javernick-Will, and M. Koschmann, “Household construction knowledge acquisition in post-disaster shelter training,” Int. J. of Disaster Risk Reduction, Vol.28, pp. 131-139, doi: 10.1016/j.ijdrr.2018.02.038, 2018.
  14. [14] C. Pathirage, K. Seneviratne, D. Amaratunga, and R. Haigh, “Managing disaster knowledge: identification of knowledge factors and challenges,” Int. J. of Disaster Resilience in the Built Environment, Vol.3, No.3, pp. 237-252, doi: 10.1108/17595901211263620, 2012.
  15. [15] W. R. Borg and M. D. Gall, “Educational Research,” Longman, 1989.
  16. [16] R. S. Oktari, L. K. Comfort, Syamsidik, and P. Dwitama, “Measuring coastal cities’ resilience toward coastal hazards: Instrument development and validation,” Progress in Disaster Science, Vol.5, 100057, doi: 10.1016/j.pdisas.2019.100057, 2020.
  17. [17] T. Kato, “Sharing experience by residents of past disaster sites: Effects of time from disasters and types of experience,” Int. J. of Disaster Risk Reduction, Vol.61, 102390, doi: 10.1016/j.ijdrr.2021.102390, 2021.
  18. [18] N. Ikeda, C. Narama, and S. Gyalson, “Knowledge sharing for disaster risk reduction: Insights from a glacier lake workshop in the Ladakh region, Indian Himalayas,” Mountain Research and Development, Vol.36, No.1, pp. 31-40, doi: 10.1659/MRD-JOURNAL-D-15-00035.1, 2016.
  19. [19] R. S. Oktari, K. Munadi, R. Idroes, and H. Sofyan, “Knowledge management practices in disaster management: Systematic review,” Int. J. of Disaster Risk Reduction, Vol.51, 101881, doi: 10.1016/j.ijdrr.2020.101881, 2020
  20. [20] C. Folke, S. Carpenter, B. Walker, M. Scheffer, T. Chapin, and J. Rockström, “Resilience thinking: integrating resilience, adaptability and transformability,” Ecology and Society, Vol.15, No.4, Article 20, 2010.
  21. [21] A. Pike, S. Dawley, and J. Tomaney, “Resilience, adaptation and adaptability,” Cambridge J. of Regions, Economy and Society, Vol.3, No.1, pp. 59-70, doi: 10.1093/cjres/rsq001, 2010.
  22. [22] S. Skerratt, “Enhancing the analysis of rural community resilience: evidence from community land ownership,” J. of Rural Studies, Vol.31, pp. 36-46, doi: 10.1016/j.jrurstud.2013.02.003, 2013.
  23. [23] D. P. Aldrich and M. A. Meyer, “Social capital and community resilience,” American Behavioral Scientist, Vol.59, No.2, pp. 254-269, doi: 10.1177/0002764214550299, 2015.
  24. [24] Syamsidik, R. S. Oktari, A. Nugroho, M. Fahmi, A. Suppasri, K. Munadi, and R. Amra, “Fifteen years of the 2004 Indian Ocean Tsunami in Aceh-Indonesia: Mitigation, preparedness and challenges for a long-term disaster recovery process,” Int. J. of Disaster Risk Reduction, Vol.54, 102052. doi: 10.1016/j.ijdrr.2021.102052, 2021.
  25. [25] R. S. Oktari, Syamsidik, R. Idroes, H. Sofyan, and K. Munadi, “City Resilience towards Coastal Hazards: An Integrated Bottom-Up and Top-Down Assessment,” Water, Vol.12, No.10, Article No.2823, 2020.
  26. [26] K. Magis, “Community resilience: An indicator of social sustainability,” Society & Natural Resources, Vol.23, No.5, pp. 401-416, doi: 10.1080/08941920903305674, 2010.
  27. [27] D. R. Velázquez, “Social Resilience, Disaster Prevention, and Climate Change: Challenges from Mexico,” J. Disaster Res., Vol.5, No.2, pp. 155-163, doi: 10.20965/jdr.2010.p0155, 2010.
  28. [28] F. H. Norris, S. P. Stevens, B. Pfefferbaum, K. F. Wyche, and R. L. Pfefferbaum, “Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness,” American J. of Community Psychology, Vol.41, No.1-2, pp. 127-150, doi: 10.1007/s10464-007-9156-6, 2008.
  29. [29] S. L. Cutter, L. Barnes, M. Berry, C. Burton, E. Evans, E. Tate, and J. Webb, “A place-based model for understanding community resilience to natural disasters,” Global Environmental Change, Vol.18, No.4, pp. 598-606, doi: 10.1016/j.gloenvcha.2008.07.013, 2008.
  30. [30] D. Leonard-Barton, “Wellspring of knowledge: Building and Sustaining the Sources of Innovation,” Harvard Business School Press, 1995.
  31. [31] G. Von Krogh, K. Ichijo, and I. Nonaka, “Enabling knowledge creation: How to unlock the mystery of tacit knowledge and release the power of innovation,” Oxford University Press on Demand, 2000.
  32. [32] I. Nonaka, “A dynamic theory of organizational knowledge creation,” Organization Science, Vol.5, No.1, pp. 14-37, 1994.
  33. [33] I. Nonaka, R. Toyama, and N. Konno, “SECI, Ba and Leadership: a Unified Model of Dynamic Knowledge Creation,” Long Range Planning, Vol.33, No.1, pp. 5-34, 2000.
  34. [34] G. Martín-de-Castro, P. López-Sáez, and J. E. Navas-López, “Processes of knowledge creation in knowledge-intensive firms: Empirical evidence from Boston’s Route 128 and Spain,” Technovation, Vol.28, No.4, pp. 222-230, doi: 10.1016/j.technovation.2007.10.002, 2008.
  35. [35] I. Nonaka and R. Toyama, “The knowledge-creating theory revisited: knowledge creation as a synthesizing process,” Knowledge Management Research & Practice, Vol.1, No.1, pp. 2-10, 2003.
  36. [36] I. Nonaka and N. Konno, “The concept of “Ba”: Building a foundation for knowledge creation,” California Management Review, Vol.40, No.3, pp. 40-54, 1998.
  37. [37] I. Nonaka, N. Konno, and R. Toyama, “Emergence of “Ba”: A Conceptual Framework for the Continuous and Self-Transcending Process of Knowledge Creation,” I. Nonaka and T. Nishiguchi (Eds.), “Knowledge Emergence: Social, Technical, and Evolutionary Dimensions of Knowledge Creation,” pp. 13-29, 2001.
  38. [38] J. F. Hair, C. M. Ringle, and M. Sarstedt, “Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance,” Long Range Planning, Vol.46, No.1-2, pp. 1-12, doi: 10.1016/j.lrp.2013.01.001, 2013.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Oct. 01, 2024