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. Speci¿cally, this book showcases the utilization of DM, DEA, and SEM for the following purposes:Identi¿cation of the relevant context-speci¿c constructs (inductive application)Identi¿cation 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

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