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Creating Theoretical Research Frameworks using Multiple Methods - Insight from ICT4D Investigations (Hardcover)
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Creating Theoretical Research Frameworks using Multiple Methods - Insight from ICT4D Investigations (Hardcover)
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By now, it is commonly accepted that investments in information and
communication technologies (ICTs) can facilitate macroeconomic
growth in developed countries. Research standards in ICT for
development (ICT4D) are high, and it is a basic expectation that a
theoretically sound conceptual investigation should yield
actionable results. An additional expectation is that an
on-the-ground study conducted in each setting should add to the
common body of knowledge based on theory. In other words, one is
expected to make a connection between the world of concepts and the
world of reality. Middle-range theories and frameworks could help
connect the case studies with grand theories, by helping to create
a theoretically sound and practically applicable research
architecture of ICT4D. This book demonstrates how creative use of
various data analysis methods (e.g., data mining [DM], data
envelopment analysis [DEA], and structural equation modeling [SEM])
and conceptual frameworks (e.g., neoclassical growth accounting,
chaos and complexity theories) may be utilized for inductive and
deductive purposes to develop and to test, in step-by-step fashion,
theoretically sound frameworks for a large subset of ICT4D research
questions. Specifically, this book showcases the utilization of DM,
DEA, and SEM for the following purposes: Identification of the
relevant context-specific constructs (inductive application)
Identification of the relationships between the constructs
(inductive application) Development of a framework incorporating
the constructs and relationships discovered (inductive application)
Testing of the constructed framework (deductive application) The
book takes a multi-theoretical perspective to economic development
research. It starts with an overview of ICT4D. Next it covers such
frameworks and theories as neoclassical growth accounting and the
theory of complementarity, complex systems and chaos theories, and
the product life cycle (PLC) theory. There are also nontechnical
overviews of the DM and data analytic methods that can be used in
this research. Also presented is evidence that human capital and
investment capital are complementary and are reliable sources of
economic growth. The book concludes with methodological frameworks
to guide investment decisions and the formulation of strategic
policy.
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