TY - JOUR
T1 - Research Approach towards Formulating Research and Innovation Capacity Development Framework for Disaster Resilience in Higher Education Institutions
AU - Hayat, Ezri
AU - Thakore, Renuka
AU - Liyanage, Champika
AU - Haigh, Richard
AU - Amaratunga, Dilanthi
PY - 2018/2
Y1 - 2018/2
N2 - The developing countries have experienced a large number of disaster events with extensive loss of life and goods.
Effective mitigation and preparedness can greatly reduce the threat posed by hazards of all type. The potential of networked models
to enhance the impact and efficiency of investments in disaster resilience (DR) research capacity-building in Asia; the importance of
ensuring stronger local ownership of initiatives; and, the importance of building sustainable research institutions have been identified
by global funders and policymakers as the priority towards strengthening the capacity of developing countries to do and use research,
which is widely viewed as vital for meeting long-term innovation in creating DR societies. To fill the gap in the literature with regards
to research and innovation capacity development of Higher Education Institutions (HEIs) in the disaster resilience related areas, this
study formulated a capacity development framework (CDF) to help the HEIs play their roles as incubators of knowledge and ideas,
and as the centre for innovation and generation of ideas. The key performance indicators and measures to assess research and
innovation capacity were identified through qualitative systematic literature review and a three-round focus group discussions.
Additional data was collected from 213 semi-structured interviews and 530 online survey questionnaires. The proposed capacity
development framework consists of six lenses - policy, skills and training, staff, funding, infrastructure, and cross-cutting. Each lens
highlights key category for current and future environment to strengthen research and innovation (R&I) capacity for the
development of societal resilience to disasters in HEIs.
AB - The developing countries have experienced a large number of disaster events with extensive loss of life and goods.
Effective mitigation and preparedness can greatly reduce the threat posed by hazards of all type. The potential of networked models
to enhance the impact and efficiency of investments in disaster resilience (DR) research capacity-building in Asia; the importance of
ensuring stronger local ownership of initiatives; and, the importance of building sustainable research institutions have been identified
by global funders and policymakers as the priority towards strengthening the capacity of developing countries to do and use research,
which is widely viewed as vital for meeting long-term innovation in creating DR societies. To fill the gap in the literature with regards
to research and innovation capacity development of Higher Education Institutions (HEIs) in the disaster resilience related areas, this
study formulated a capacity development framework (CDF) to help the HEIs play their roles as incubators of knowledge and ideas,
and as the centre for innovation and generation of ideas. The key performance indicators and measures to assess research and
innovation capacity were identified through qualitative systematic literature review and a three-round focus group discussions.
Additional data was collected from 213 semi-structured interviews and 530 online survey questionnaires. The proposed capacity
development framework consists of six lenses - policy, skills and training, staff, funding, infrastructure, and cross-cutting. Each lens
highlights key category for current and future environment to strengthen research and innovation (R&I) capacity for the
development of societal resilience to disasters in HEIs.
KW - capacity development
KW - disaster resilience
KW - higher education
KW - research and innovation
KW - Research and innovation
KW - Higher education
KW - Capacity development
KW - Disaster resilience
UR - http://www.scopus.com/inward/record.url?scp=85042700889&partnerID=8YFLogxK
U2 - 10.18517/ijaseit.8.1.4206
DO - 10.18517/ijaseit.8.1.4206
M3 - Article
VL - 8
SP - 264
EP - 271
JO - International Journal on Advanced Science, Engineering and Information Technology
JF - International Journal on Advanced Science, Engineering and Information Technology
SN - 2088-5334
IS - 1
ER -