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:
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.
Introduction. Overview on ICT4D Research. Overview on Neo-Classical Growth Accounting. Overview on Chaos & Complex Systems Theory. Product Life Cycle Theory. Overview on Decision Tree Induction. Overview on Cluster Analysis. Overview on Data Envelopment Analysis (DEA). Overview on Structural Equation Modeling (SEM). Overview of Neural Networks (NN). Inquiry into heterogeneity of the competitive environment (by using CA). Investigation of the sources of heterogeneity of the competitive environment (by using DT). Assessment of the relative efficiency of competitors in heterogeneous environment(by using DEA and DT). Finding sources of relative inefficiencies in heterogeneous environment (by using DEA with MI and DT). Study of the role of a human capital in growth in productivity (by using DEA with SEM). Formulation of investment strategies driven by relative efficiency and growth in productivity (by using DEA with MI). Allocation of investments to optimize economic performance of the product (by using DEA applied to Product Life Cycle theory). Assessing the role of resources vs. utilization of resources in efficient production of economic outputs (by using NN).