Quantitative methodologies using multi-methods : models for social science and information technology research / Sergey V. Samoilenko and Kweku-Muata Osei-Bryson.

Format:

Book

Author/Creator:

Samoilenko, Sergey, 1966- author.

Osei-Bryson, Kweku-Muata, author.

Contributor:

ProQuest ebook central.

Language:

English

Subjects (All):

Quantitative research.

Data mining.

Physical Description:

1 online resource : illustrations (black and white)

polychrome

Edition:

First edition.

Place of Publication:

Boca Raton, FL : Routledge, 2022.

System Details:

text file

Contents:

<P>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. </P><P> </P>

Notes:

Electronic reproduction. Ann Arbor, MI Available via World Wide Web.

Description based on online resource; title from digital title page (viewed on August 23, 2021).

Other Format:

Print version :

ISBN:

9781000431131

1000431134

9781000431124

1000431126

9781003024149

1003024149

Publisher Number:

40030669282

Access Restriction:

Restricted for use by site license.