ABSTRACT:
Out of 644 recorded earthquake and tsunami related disasters in the world
during the period (1973-2003) of thirty years, the Asian region experienced 356
events contributing to over 55% of the world disaster happenings.
.Key words: Earthquake risk,
Disaster, Knowledge management, Global networks.
Introduction
“The most precious knowledge can neither be
taught nor passed on” - (Nonaka and
Takeuchi, 1995; pp.9)
Systematic recording of knowledge concerning human safety is found way back
in 2000 B.C. during the rule of King Hamurabi in
Profiling Disaster
Disaster, in a quantified definition, is that unfortunate event in which reports of at least 10 persons have died or 100 people affected; a declaration of a state of emergency by the relevant government or the request by the national government for international assistance (ISDR, 2006). It is an event “which results in substantial loss of life or human suffering or damage to, and destruction of property and environment” (The Gazette of India 2005, pp.2). Advancement, transfer and sharing of knowledge are basic tenets for disaster risk management. “Knowledge management and education can help communities in hazard-prone areas to gain a better grasp of the ways to cope with risks” (Rouhban, 2007, pp.142).
There are around 30 identified natural disasters world wide. The most important disasters in
Identifying Earthquake Risk
Earthquake risk is a potential seismic threat to people and their belongings
and is inversely proportional to their capacity to resist it. Referring
to societal learning about risk May (1994) opines that the more that is known,
the less reason there is to fear the worrisome object and the weaker the
rationale for preventive measures. Knowledge and its appropriate dissemination
resulting in increased safety to life is the present day need. Earthquake
Risk Management (EQRM) is a process of DM measures that are expedient for
prevention of danger or threat of an earthquake; mitigation or reduction of
risk of an earthquake or its severity or consequences. It also includes
capacity building, preparedness in dealing with disaster, prompt response to a
threatening situation arising out of it and assessing the severity or magnitude
of the effects of such a disaster. Further, it comprises evacuation, rescue,
relief, rehabilitation and reconstruction.
The Pre-disaster Earthquake Risk Management (EQRM) measures are given in Fig. 2. These include:
¨ Preparedness: A state of readiness that requires consistent work in drawing long- and short-term strategy.
¨ Human Measures: Include empowering individuals and community through training and capacity building.
¨ Non-structural measures: is a matter of preventive strategy related to arrangement of furniture, its design and building add-ons as potential threat to occupants in case of a disaster.
¨ Risk Analysis: is related to the hazard, vulnerability and risk assessment.
¨
Structural Measures: are about the way buildings and spaces around
them are designed.
The post-disaster EQRM measures (Fig. 3) include:
¨ Efficacy: is effectiveness in all aspects of response to disaster.
¨ Human Resource Response: relates to reaction of people – instantaneous and planned related to search & rescue and humanitarian assistance.
¨
Planning: refers to a pre-determined arrangement activated or put
to test immediately following a disaster and, how the response-tasks are allotted
and scheduled.
¨ Risk Factor: Is embedded in every aspect of post-EQRM action.
¨ Built Environment: Is about buildings, their placement, the quality of community living, environment, and socio-cultural aspects. Prudence and quality design acumen are required to handle this aspect, taking care of its substantive dimensions and effectively rehabilitating those affected.
Knowledge Management (KM) Concept
Knowledge is “the fact or condition of knowing something with a considerable degree of familiarity through experience, association or contact” (MHA, 2006, pp.1). Knowledge Management (KM) is a process by which knowledge is created, shared and utilized.
There are three categories of knowledge – explicit, tacit and implicit. Explicit knowledge is formal knowledge that can be accessed by anyone, for example, books, pictures, recording clips, etc. This also is termed as codified knowledge. Tacit knowledge is passed on from an expert or guru to a knowledge seeker through personal explanation, gestures and giving imaginative examples. At different times to the same or different students, the ingredients of knowledge transfer process vary with the same knowledge being transferred. The tacit knowledge is lost with the person who possesses it. There is a continuous effort of converting tacit into explicit knowledge. This is through video-graphic output, audio recording of voice, and style and quality of speech delivery or documentation. Implicit knowledge is that body of knowledge which exists without being stated. It is informal and experiential, thus cannot be shared. It is to be individually experienced. It cannot be expressed. It remains within mind or in social relationships. A person may intuitively reach out to another person in distress for help. But he may not be able to step-by-step explain, how he did it and what prompted him to act that way. In the same situation, it could as well be another person to come forward for help, but the explanation and intention may be different. KM is not just capturing knowledge and storing it in a database with a hope to use it at an appropriate future occasion. KM is all about getting the right knowledge, in the right place, at the right time (MHA, 2006).
KM Frameworks
As per the library, internet and research document searches, “there are more than ten frame works for the KM” (Rodrigues, 2005, pp.85). They depict various KM phenomena. Typically most of these models are related to processes or systems, aspects related to people or human resource development and management, or information technology, digital media and technological advances. Following are some of the KM models:
¨ Vander spek and spijkervet Mode (1997): It is a four stage model of KM. It considers KM as a problem-solving tool and is divided into four steps, viz., conceptualize, reflect, act and retrospect. This model fits well with various issues in disaster management.
¨ Dr. Kai-Hin Chai Model (1998): This model consists of five stages in a knowledge cycle emphasizing on creation, capturing, stirring, dissemination and obsolescence. It is an on-going cycle, having continuous creation of and continuous outmoding of knowledge. DM and EQRM can be enriched with new and innovating ideas and can delete outmoded concepts that are no longer valid and useful.
¨
Arthur and
¨ Wiig’s mode (1993): It is called the ‘three management pillars’, consisting of creation, manifestation and, use & transfer. Knowledge creation process starts with survey and categorization, knowledge analysis, codification and finally knowledge organization. There needs to be a system that integrates formulation, codification, and implementation, and follow up of regulatory mechanism on the one hand and creation, verification, distribution, stacking and updating of knowledge in the Earthquake Risk Management (EQRM) on the other for its beneficial effect on people and property.
Finally, Bryant’s model (Fig. 4) refers to people,
process and technology being central to the knowledge management concept.
Figure - 4 : Knowledge Framework Conceptual Model (Bryant, 2007)
KM Application in
Earthquake Risk Management
Figure 5:
Knowledge Communication Networks in Disaster Management
The role
of KM is important in making an organization effective by superior thinking process.
To achieve this adopting certain tactics becomes imperative. It starts with
spontaneous assessment of the information handling mechanism in place what
Conclusion
The
application of KM in disaster management in general and in managing earthquake
risk in particular cannot be underestimated. To make it effective the following
suggestions can be considered:
¨ Various
organizational systems should be integrated and effectively manned to achieve
instant reach of information. For this, a specific policy should be ready for
effective defense against an imminent disaster risk. Haggie
(2003) had proposed a framework of scanning, problem-solving, abstraction,
diffusion, absorption and impacting as a KM potential policy.
¨ Technological
requirement in replacing inadequate and outdated equipment and system with the
latest ones should have priority.
¨ For
use of latest technology, personnel should be trained, retrained and if
necessary new, effective and efficient ones recruited and retained. It is also
critical to internalize effective habits that encompass knowledge, skills and
desire (Covey, 1994) and are valuable to inculcate appropriate patterns of
behavior.
¨ Collaboration
and coordination within and with related organizations should be made effective
and useful. The performance system based on Focus, Capability and Will proposed
by Smith and Sharma (2002) for achieving high performance, is worth emulating.
¨ Finally,
as Nonaka and Takeuchi (1995) have recommended there
needs to be a switch to a hyper text organization and construction of a
knowledge network with the outside world. The Indian Disaster Resource network
(IDRN, 2007) refers its web-resource as a powerful tool for effective emergency
response; however, the present site structure is far from what is needed.
To sum-up, it is necessary to have
in place an agile and transparent system that is reliable, having improved
security and aiming at focused and cost effective responses. Referring to
climate change and multiple crisis situation on the Earth that would lead to
catastrophes, Mr. Al Gore, Vice President of the United States of America
alerts not to be in a dream world thinking that “the threat was not real
or imminent; that it would affect others but not ourselves; that ordinary life
might be lived even in the presence of extraordinary threat; that Providence
could be trusted to do for us what we would not do for ourselves” (Gore,
2007).. We need to gear up ourselves to counter the negative consequences of
major earthquake events with effective and robust KM system.
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Meet the Authors
Ravindra Deshmukh is
professor of architecture and coordinator of the National Program for Capacity
Building of Architects in Earthquake Risk Management (Government of India). He
has published 35 papers and taught in
Dr. Lewlyn L. R. Rodrigues
is a Professor of Mechanical
and Manufacturing Engineering in the Department of Mechanical & Manufacturing
Engineering at Manipal Institute of Technology. He
has accrued 24 years of teaching experience and has over 70 publications in
Conferences and Journals and is guiding seven Ph. Ds. in the
areas of KM, System Dynamics, Risk Management, Manufacturing and Educational
Research. He may be contacted at:
Tel: +91-0820-2571061-70 Ext. 24042; Cell:
+919900710677; Email: rodrigusr@gmail.com
Dr. G. R. Krishnamurthy is distinguished professor of business management and director of Transformational Institute of Managerial Excellence; He has 150 research publications to his credit; Tel: +91 824 2455340; 2455710; Email: timemba@rediffmail.com