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E-raamat: Creating Theoretical Research Frameworks using Multiple Methods: Insight from ICT4D Investigations

(Virginia Commonwealth University, Richmond, USA), (Averett University, Danville, Virginia, USA)
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  • Ilmumisaeg: 30-Oct-2017
  • Kirjastus: Auerbach Publishers Inc.
  • Keel: eng
  • ISBN-13: 9781498779968
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Creating Theoretical Research Frameworks using Multiple Methods: Insight from ICT4D InvestigationsSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 30-Oct-2017
  • Kirjastus: Auerbach Publishers Inc.
  • Keel: eng
  • ISBN-13: 9781498779968
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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. Specically, this book showcases the utilization of DM, DEA, and SEM for the following purposes:





Identication of the relevant context-specic constructs (inductive application) Identication 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 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.
Preface xiii
Authors xix
1 Overview of Research on Information and Communication Technologies for Development
1(10)
Introduction
1(1)
Some Options for Configuring an ICT4D Research Project
2(2)
ICT Issues and Focus Areas
2(1)
Context-Countries and Communities
3(1)
Research Methodologies
3(1)
Theoretical Frameworks
3(1)
Data Analysis Methods
4(1)
Conclusion
4(1)
References
5(6)
2 Overview on Framework of Neoclassical Growth Accounting
11(8)
Exogenous and Endogenous Growth Models
12(1)
Formulation of the Neoclassical Production Function
13(2)
Transcendental Logarithmic (Translog) Production Function
15(2)
Weaknesses and Criticisms of the Framework of Neoclassical Growth Accounting
17(1)
References
18(1)
3 Overview on Complex Systems Theory and Chaos Theory
19(10)
Complex Systems Theory: An Overview
19(1)
Complex Systems: Structural Perspective
20(4)
Complex Systems: Functional Perspective
24(1)
Chaos Theory: An Overview
25(2)
References
27(2)
4 An Overview on Product Cycle Theory and the Product Life Cycle Model
29(10)
Product Cycle Theory: An Overview
29(4)
Product Life Cycle Model: An Overview of the Stages and Common Criticisms
33(4)
Stage 1-Introduction
34(1)
Stage 2-Growth
34(1)
Stage 3-Maturity
35(1)
Stage 4-Decline
35(1)
Criticisms and Applications of Product Life Cycle Model
36(1)
References
37(2)
5 Overview on Decision Tree Induction
39(16)
Introduction
39(4)
Classification Tree
41(1)
Regression Tree
41(2)
DT Generation Process
43(10)
Recursive Splitting
45(1)
Selection of the Splitting Method
46(1)
Prepruning and Postpruning
46(1)
Prepruning
46(1)
Postpruning
46(4)
Recursive Splitting Example
50(1)
Software Implementation of the DT Generation Process
51(2)
References
53(2)
6 Overview on Cluster Analysis
55(16)
Introduction
55(2)
Understanding the Output of Clustering
57(3)
Clustering Algorithms
60(1)
Similarity Metrics
61(1)
Evaluating the Output of Clustering Algorithms
61(4)
The Issue of Quality: Assessing Cluster Validity
62(1)
The Issue of Usefulness: Goals for Clustering
62(1)
Overview of a Process Model for Clustering
63(2)
Software Implementation of the Clustering Process
65(3)
Cluster Node: Some Important Parameter Settings
67(1)
References
68(3)
7 Overview on Data Envelopment Analysis
71(10)
Introduction
71(1)
DEA Model: Common Guidelines and Assumptions
72(1)
DEA: General Approach and Types of Efficiency
73(1)
DEA Models: Common Orientations
74(2)
DEA: Types of Models
76(1)
DEA: Malmquist Index
77(2)
References
79(2)
8 Overview on Structural Equation Modeling
81(10)
SEM: Reflective and Formative Measurement Models
83(1)
SEM: Model Specification
84(1)
SEM: Two Common Approaches
85(1)
SEM: Preliminary Data Analysis and Factor Analysis
86(2)
SEM: Assessment of the Measurement Model
88(1)
SEM: Assessment of the Structural Model
89(2)
9 Overview on Artificial Neural Networks
91(16)
Introduction
91(2)
NN Induction Process for Directed Learning
93(4)
Computing the Inputs to the Nodes of the Hidden and Output Layers
94(1)
Computing Outputs of the Nodes of the Hidden and Output Layers
95(1)
Network Architectures
95(1)
Weight Adjustment for the Backpropagation Algorithm for Multilayer Perceptron
95(2)
Error Functions
97(1)
Software Implementation of the NN Induction Process
97(7)
References
104(3)
10 Information Systems Fitness and Risk in IS Development: Insights and Implications from Chaos and Complex Systems Theories
107(22)
Introduction
107(2)
Conceptual Foundations
109(4)
CT and ISD
113(1)
Insights and Implications for ISD
114(4)
IS and ISD from the Perspective of CST
118(2)
Self-Organization of the CSs
118(1)
Fitness Landscapes
118(2)
Fitness Landscapes and ISD
120(3)
Scenario One: Fitness Landscapes and ISD Process
121(1)
Scenario Two: Fitness Landscapes and ISD Product
122(1)
Scenario Three: Fitness Landscapes and the Process and Product of ISD
122(1)
Conclusion
123(2)
Acknowledgement
125(1)
References
125(4)
11 Design of the Research Workbench for Investigations Relying on Multitheoretical Support
129(14)
Performance Analysis for Complex Systems
130(3)
Cybernetics-Based Analytic Support System
133(1)
Cybernetics: An Overview
134(1)
Implications of the General Principles of Cybernetic Systems for Designing the PAS
135(1)
Structural Components of PAS
135(5)
Conclusion
140(1)
References
140(3)
12 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
143(26)
Introduction
143(3)
Description of the Data
146(1)
Research Methodology
146(6)
Phase 1
146(2)
Phase 2
148(2)
Phase 3
150(1)
Phase 4
151(1)
Null Hypotheses of the Study
152(2)
Phase 1
152(1)
Phase 2
152(1)
Phase 3
153(1)
Phase 4
154(1)
Results and Discussion
154(10)
Conclusion
164(2)
Acknowledgement
166(1)
References
166(3)
13 Human Development and Macroeconomic Returns within the Context of Investments in Telecoms: An Exploration of Transition Economies
169(18)
Introduction
169(3)
Background
172(4)
Theoretical Framework and Research Questions of the Study
176(1)
Overview of the Data
177(1)
Results of the Data Analysis
178(1)
Discussion and Conclusion
178(4)
Acknowledgement
182(1)
References
182(5)
14 The Spillover Effects of Investments in Telecoms: Insights from Transition Economies
187(28)
Introduction
187(4)
Research Problem of the Study
191(4)
Overview of the Data
195(4)
Results of Data Analysis
199(4)
Preliminary Data Analysis
199(1)
PLS Analysis: Steps, Procedures, and Results
199(30)
Assessment of the Measurement Model
199(4)
PLS Analysis: Assessment of the Structural Model
203(1)
Discussion of the Results
203(6)
Limitations of the Study
209(1)
Conclusion
210(1)
Acknowledgement
211(1)
References
211(3)
Appendix
214(1)
15 Investigating Factors Associated with the Spillover Effect of Investments in Telecoms: Do Some Transition Economies Pay Too Much for Too Little?
215(32)
Introduction
215(3)
Background of the Study
218(2)
Theoretical Foundation and Research Questions of the Study
220(3)
Overview of the Data
223(1)
Research Methodology
224(5)
Results of the Data Analysis
229(6)
RQ1: Steps 1, 2, and 3
229(2)
RQ2: Steps 4 and 5
231(1)
RQ3: Steps 6 and 7
231(4)
Discussion of the Results
235(4)
Limitations of the Study and Future Research
239(1)
Conclusion
240(1)
Acknowledgement
241(1)
References
241(4)
Appendix
245(2)
16 Understanding the Human Capital Dimension of Information and Communication Technology and Economic Growth in Transition Economies
247(18)
Introduction
247(2)
Background
249(1)
The Research Problem
250(1)
Determining Appropriate Policy Options
251(2)
Proposed Approach to Policy Analysis
253(3)
Step 1: Using MR to Determine the Presence of Complementarity
253(1)
Step 2: Using DEA to Determine the Sources of Relative Inefficiency
253(3)
The Sample and Panel Data
256(1)
Data Analysis
257(3)
Analysis Procedure
257(12)
Step 1: Analysis of H01
257(1)
Step 2: Analysis of H02
258(2)
Discussion and Conclusion
260(1)
Acknowledgement
261(1)
References
262(3)
17 An Exploration of the Effects of the Interaction between Information and Communication Technology and Labor Force on Economic Growth in Transition Economies
265(22)
Introduction
265(2)
Overview of the Data and Background of this Study
267(2)
Theoretical Framework
269(5)
Theory of Complementarity and Translog Production Function
270(2)
Formal Definition of the Research Problem
272(2)
Results of the Data Analysis
274(6)
Summary and Conclusion
280(1)
Acknowledgement
281(1)
References
281(3)
Appendix
284(3)
18 Contributing Factors to Information Technology Investment Utilization in Transition Economies: An Empirical Investigation
287(28)
Introduction
287(3)
Theoretical Framework
290(1)
Growth Accounting
290(1)
Overview of the Data
291(1)
Methodology: Searching for the Determinants of the Efficiency of Utilization of Investments in Telecoms
292(4)
Phase 1: DEA
292(1)
Data Used to Perform DEA
293(1)
Phase 2: CA
294(1)
Data Used to Perform CA
295(1)
Phase 3: DT
295(1)
Data Used to Perform DT
295(1)
Results
296(7)
Results: DEA
296(2)
Results: CA
298(1)
Results: DT
299(4)
Contribution of the Study
303(3)
Summary and Conclusion
306(2)
Acknowledgement
308(1)
References
308(3)
Appendix
311(4)
19 Socioeconomic Impact of Information and Communication Technology Capabilities in Sub-Saharan Economies: Using Association Rules to Describe the Structure of Complex Systems
315(20)
Overview
315(1)
Introduction
316(2)
Research Framework
318(1)
Data
318(2)
Methodology
320(2)
Phase 1: DEA
320(1)
Phase 2: Data Transformation for ARM
321(1)
Phase 3: Market Basket Analysis via ARM
322(1)
Research Questions and Null Hypotheses of the Study
322(1)
Results of the Data Analysis
323(1)
Phase: 1 DEA
323(1)
Phase 2 and Phase 3: Data Transformation and MBA
324(1)
Discussion of the Results
324(8)
Conclusion
332(1)
Acknowledgement
333(1)
References
333(2)
20 Improving the Relative Efficiency of Revenue Generation from ICT in Transition Economies: A Product Life Cycle Approach
335(38)
Introduction
335(3)
Theoretical Framework
338(1)
PLC Model
338(1)
Description of the Data and the Background of the Study
339(2)
Overview of the Methods and Techniques Used in the Study
341(2)
Methodological Approach
343(4)
Phase 1: CA
343(2)
Phase 2: Output-Oriented DEA
345(1)
Phase 3: Input-Oriented DEA
346(1)
Phase 4: NN Simulation
346(1)
Phase 5: Output-Oriented DEA of the Simulated Data
347(1)
Discussion of Results of the Data Analysis
347(10)
Results of Phase 1
347(2)
Results of Phase 2
349(2)
Results of Phase 3
351(1)
Results of Phases 4 and 5
352(5)
Conclusions
357(2)
Summary of Results
357(1)
Contribution
358(1)
Limitations
358(1)
Future Research
359(1)
Acknowledgement
359(1)
References
359(4)
Appendix
363(10)
21 Determining Strategies for Telecoms to Improve Efficiency in the Production of Revenues
373(20)
Introduction
373(4)
Overview of the Data
377(1)
Previous Findings
378(2)
Methodology
380(3)
Phase 1: DT Induction
381(1)
Phase 2: NN Simulation
382(1)
Phase 3: DEA
382(1)
Results of the Data Analysis
383(1)
Decision Tree Analysis
383(1)
NN Simulation
384(1)
Results of DEA
384(1)
Interpretation of the Results
384(2)
Discussion and Conclusion
386(2)
Acknowledgement
388(1)
References
388(4)
Appendix
392(1)
Index 393
Sergey Samoilenko is an associate professor and the Chair of the Department of Computer Science and Computer Information Systems at Averett University, in Danville, Virginia. Sergeys current research interests include IT and productivity, data mining, and IS development. He holds his PhD and MS in information systems from Virginia Commonwealth University. He has published in the European Journal of Operational Research, Journal of Global Information Technology Management, International Journal of Production Economics, Expert Systems with Applications, and Information Systems Frontiers, among other journals, as well as in numerous conference proceedings.

Kweku-Muata Osei-Bryson is professor of Information Systems at Virginia Commonwealth University. Previously he was professor of information systems and decision analysis in the School of Business at Howard University, Washington, DC, USA. He has also worked as an information systems practitioner in both industry and government. His research areas include: Data Mining, Decision Support Systems, Knowledge Management, IS Security, e-Commerce, IT for Development, Database Management, IS Outsourcing, Multi-Criteria Decision Making. He has published in various leading journals including: Decision Support Systems, Information Systems Journal, Expert Systems with Applications, European Journal of Information Systems, Information Systems Frontiers, Knowledge Management Research & Practice, Information Sciences, Information & Management, Journal of the Association for Information Systems, Journal of Information Technology for Development, Journal of Database Management, Computers & Operations Research, Journal of the Operational Research Society, & the European Journal of Operational Research.
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