Creating theoretical research frameworks using multiple methods

Includes bibliographical references and index.

Introduction -- Overview on ICT4D research -- Overview on framework of neoclassical growth accounting -- Overview on complex systems theory and chaos theory -- An overview on product cycle theory and product lifecycle model -- Overview on decision tree induction -- Overview on cluster analysis -- Overview on data envelopment analysis -- Overview on structural equation modeling (SEM) -- Overview on artificial neural networks (ANN) -- Information systems fitness and risk in is development : insights and implications from chaos and complex systems theories -- Design of the research workbench for investigations relying on multi-theoretical support -- Investigation of determinants of total factor productivity: an analysis of the impact of investments in telecoms on economic growth in productivity in the context of transition economies -- Human development and macro-economic returns within the context of investments in telecoms : an exploration of transition economies -- The spillover effects of investments in telecoms : insights from transition economies -- Investigating factors associated with the spillover effect of investments in telecoms : do some transition economies pay too much for too little? -- Understanding the human capital dimension of ict and economic growth in transition economies -- An exploration of the effects of interaction between ict and labor force on economic growth in transition economies -- Contributing factors to information technology investment utilization in transition economies : an empirical investigation -- Socio-economic impact of ict capabilities in sub-saharan economies : using association rules to describe the structure of complex systems -- Improving the relative efficiency of revenue generation from ict in transition economies : a product life cycle approach -- Determing strategies for telecoms to improve efficiency in the production of revenues : an empirical investigation in the context of transition economies using dea, decision trees, and neural nets.