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This book develops and examines the concepts and strategies for
rural empowerment through the formation of a community-driven
social knowledge management (SKM) framework aided by social
technology. The framework is aimed at mobilizing knowledge
resources to bridge the rural-urban knowledge divide while securing
rural empowerment using digital connections and social
collaborations built on strategies of self-sustenance and
self-development. With key empirical findings supplemented by
relevant theoretical structures, case studies, illustrative figures
and a lucid style, the book combines social technologies and social
development to derive a social knowledge management platform. It
shows how the proposed SKM framework can enhance knowledge
capabilities of rural actors by facilitating connection among
rural-urban entities through formation of purposive virtual
communities, which allow social agents to create, modify and share
content collaboratively. The volume brings forward diverse issues
such as conceptual foundations; bridging the rural-urban knowledge
and information divide; issues of information and knowledge
asymmetry; a knowledge-theoretic perspective of rural empowerment;
knowledge capability, freedom of choice and wellbeing, to provide a
comprehensive outlook on building a knowledge society through
digital empowerment. This book will be useful to scholars and
researchers of development studies, rural sociology, management
studies, IT/IS, knowledge management and ICT for development,
public policy, sociology, political economy and development
economics. It will benefit professionals and policymakers,
government and nongovernment bodies and international agencies
involved with policy decisions related to application of
technologies for rural development, social workers and those in the
development sector.
This book develops and examines the concepts and strategies for
rural empowerment through the formation of a community-driven
social knowledge management (SKM) framework aided by social
technology. The framework is aimed at mobilizing knowledge
resources to bridge the rural-urban knowledge divide while securing
rural empowerment using digital connections and social
collaborations built on strategies of self-sustenance and
self-development. With key empirical findings supplemented by
relevant theoretical structures, case studies, illustrative figures
and a lucid style, the book combines social technologies and social
development to derive a social knowledge management platform. It
shows how the proposed SKM framework can enhance knowledge
capabilities of rural actors by facilitating connection among
rural-urban entities through formation of purposive virtual
communities, which allow social agents to create, modify and share
content collaboratively. The volume brings forward diverse issues
such as conceptual foundations; bridging the rural-urban knowledge
and information divide; issues of information and knowledge
asymmetry; a knowledge-theoretic perspective of rural empowerment;
knowledge capability, freedom of choice and wellbeing, to provide a
comprehensive outlook on building a knowledge society through
digital empowerment. This book will be useful to scholars and
researchers of development studies, rural sociology, management
studies, IT/IS, knowledge management and ICT for development,
public policy, sociology, political economy and development
economics. It will benefit professionals and policymakers,
government and nongovernment bodies and international agencies
involved with policy decisions related to application of
technologies for rural development, social workers and those in the
development sector.
An agro-climatic study was conducted to assess the vulnerability of
winter rice (boro) production in Bangladesh to potential climate
change. Effect of climate change on yield of two varieties of boro
rice has been assessed using the DSSAT (v4) modeling system. The
yield of BR3 and BR14 boro varieties for the years 2008, 2030, 2050
and 2070 have been simulated for 12 locations of Bangladesh, which
were selected from among the major rice growing areas in different
regions of Bangladesh. Available data on soil and hydrologic
characteristics of these locations, and typical crop management
practice for boro rice were used in the simulations. The weather
data required for the model (daily maximum and minimum
temperatures, daily solar radiation and daily precipitation) were
generated for the selected years and for the selected locations
using the regional climate model PRECIS. The model predicted
significant reduction in yield of both varieties of boro rice due
to climate change; yield reductions of over 20% and 50% have been
predicted for both rice varieties for the years 2050 and 2070,
respectively.
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