Quantitative Methodologies using Multi-Methods : Models for Social Science and Information Technology Research (Paperback)

Section I: Development of the Methodological Modules. 1. Pre Requisite General Questions. 2. Components of Multi-Method Methodologies. 3. Framework for Methodological Modules. Section II: Description of the Methodological Modules. 4. A1: Homogeneous Sample - DEA and DTI. 5. A2: Homogeneous Sample - DEA and ARM. 6. B1: Heterogeneous Sample (Groupings Are Given) DTI and ARM. 7. B2: Heterogeneous Sample (Groupings Are Given) - DTI and MR. 8. B3: Heterogeneous Sample (Groupings Are Given) - DTI, DEA, and ARM. 9. B4: Heterogeneous Sample (Groupings Are Given) - DTI, DEA, and NN. 10. C1: Heterogeneous Sample (Groupings Are Not Known) CA and DTI. 11. C2: Heterogeneous Sample (Groupings Are Not Known) - CA and ARM. C3: Heterogeneous Sample (Groupings Are Not Known) - CA, DTI, and MR. 13: C4: Heterogeneous Sample (Groupngs Are Not Known) - CA, DTI, and ARM. 14. C5: Heterogeneous Sample (Groupings Are Not Known) - CA and DEA. 15. C6: Heterogeneous Sample (Groupings Are Not Known) - CA, DEA, and ARM. 16. C7: Heterogeneous Sample (Groupings Are Not Known) - CEA, DTI, and DEA. 17. C8: Heterogeneous Sample: Groupings Are Not Known) - CA, DTI, DEA, and NN. Section III: Methodological Modules - Examples of their Application. 18. A Hybrid DEA/DM-based DSS for Productivity-Driven Environments. 19. Determining Sources of Relative Inefficiency in Heterogeneous Samples. 20.Exploring Context Specific Micro-Economic Impacts of ITC Capabilities. 21. A Methodology for Identifying Sources of  Disparities in the Socio-econimic Outcomes of ITC Capabilities in SSA's. 22. Discovering Common Casual Structures that Describe Context-Diverse Heterogeneous Groups. 23. An Empirical Investigation of ITC Capabilities and the Cost of Business Start-up Procedures in Sub-Saharan African Economies. 24.  Exploring the Socio-Economic Impacts of ITC-Enabled Public Value in Sub-Saharan Africa. 25. Contributing Factors to Information Technology Investment Utilization in Transition Economies. 26. Increasing the Discriminatory Power of DEA in the Presence of the Sample Heterogeneity with Cluster Analysis and Decision Trees. 27. An Exploration of the Intrinsic Negative Socio-economic Implications of ICT Interventions. Section IV: Appendix X. Appendix X1: Modls of Economic Growth. Appendix X2: A Model of the Socio-economic Impact of ICT.