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E-Services Adoption : Processes by Firms in Developing Nations.

By: Contributor(s): Material type: TextTextSeries: Advances in Business Marketing and Purchasing SeriesPublisher: Bingley : Emerald Publishing Limited, 2015Copyright date: ©2015Edition: 1st edDescription: 1 online resource (463 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781785603242
Subject(s): Genre/Form: Additional physical formats: Print version:: E-Services AdoptionDDC classification:
  • 658.054678091724
LOC classification:
  • HF5001-6182
Online resources:
Contents:
Cover -- Title -- Copyright -- Contents -- List of Contributors -- E-Services Adoption Processes in Developing Nations: Introduction to ABM&amp -- P Volume 23A -- Abstract -- 1. Introduction -- 2. Diffusion and Adoption of New Information and Communications Technologies by Small and Medium Enterprises -- 3. Toward a Conceptualization of Digital Divide and Its Impact on e-Government System Success -- 4. Conclusion -- References -- Diffusion of ICT and SME Performance -- Abstract -- 1. Introduction -- 1.1. Overview -- 1.2. Research Questions -- 1.3. Objectives -- 1.4. Research Background -- 1.5. Definition of Terms -- 1.6. Research Significance -- 1.6.1. Contribution to Theory -- 1.6.2. Contribution to Practice -- 1.7. Organisation of the Chapter -- 1.8. Summary -- 2. Literature Review -- 2.1. Introduction -- 2.2. Diffusion Process -- 2.3. Theoretical Framework -- 2.3.1. DOI Theory (Rogers, 1983)9 -- 2.3.2. TRA (Fishbein &amp -- Ajzen, 1975) -- 2.3.3. TPB (Ajzen, 1985) -- 2.3.4. TAM (Davis, 1986) -- 2.3.5. TOE Framework (Tornatzky &amp -- Fleischer, 1990) -- 2.3.6. Institutional Theory (DiMaggio &amp -- Powell, 1983) -- 2.3.7. UTAUT (Venkatesh et al., 2003) -- 2.3.8. Resource-Based View (RBV) (Barney, 1991) -- 2.3.9. Review of the Existing Theories -- 2.4. Review of Empirical Studies -- 2.5. Antecedents of ICT Use -- 2.5.1. Cognitive Evaluation and Owner Innovativeness -- 2.5.2. BI and Behavioural Expectation -- 2.5.3. Facilitating Condition and Country Readiness -- 2.5.4. Culture and Environmental Pressure -- 2.6. Antecedents of Organisational Performance -- 2.6.1. ICT Use, Integration and Degree of Utilisation -- 2.6.2. Organisational Performance -- 2.6.3. Mediation of Integration and Utilisation -- 2.7. Preliminary Research Model -- 2.8. Summary -- 3. Research Methodology -- 3.1. Introduction -- 3.2. Research Paradigm -- 3.3. Research Method.
3.4. Research Process -- 3.4.1. Step 1: Literature Review -- 3.4.2. Step 2: Preliminary Research Model -- 3.4.3. Step 3: Qualitative Field Study -- 3.4.4. Step 4: Model Refinement -- 3.4.5. Step 5: Hypotheses Construction -- 3.4.6. Step 6: Questionnaire Design -- 3.4.7. Step 7: Pre-testing of the Questionnaire -- 3.4.8. Step 8: Questionnaire Refinement -- 3.4.9. Step 9: Data Collection -- 3.4.10. Step 10: Data Analysis -- 3.4.11. Step 11: Result Interpretation and Report Writing -- 3.5. Qualitative Field Study Method -- 3.5.1. Sample Selection -- 3.5.2. Data Collection -- 3.5.3. Analyses of Qualitative Data -- 3.6. Quantitative Study Method -- 3.6.1. Developing the Questionnaire -- 3.6.2. Questionnaire Translation -- 3.6.3. Pre-Testing of the Questionnaire and Pilot Test -- 3.6.4. Sample Selection -- 3.6.5. Quantitative Data Collection -- 3.6.6. Quantitative Data Analysis -- 3.6.7. PLS Procedures -- 3.6.8. Assessment of Measurement Model -- 3.6.9. Structural Model Estimation and Nomological Validity -- 3.7. Summary -- 4. Field Study Analysis and Comprehensive Research Model -- 4.1. Introduction -- 4.2. Operation of the Field Study -- 4.2.1. Sample -- 4.2.2. Demographic Profiles of Study Respondents -- 4.2.3. Data Collection -- 4.2.4. Data Analysis -- 4.3. Findings (1st Stage: Inductive Analysis) -- 4.3.1. Factors and Variables -- 4.3.2. Linkages among the Factors -- 4.3.3. Comparison between Field Study Findings and the Initial Model (2nd Stage: Deductive Model) -- 4.3.4. Justification of the Findings in the Literature Review -- 4.3.5. Justification of Combining BI and Expectation -- 4.3.6. The Comprehensive Research Model -- 4.4. Summary -- 5. Hypotheses and Questionnaire Development -- 5.1. Introduction -- 5.2. Hypotheses Development -- 5.2.1. Hypothesis Related to Cognitive Evaluation -- 5.2.2. Hypotheses Related to Owner Innovativeness.
5.2.3. Hypotheses Related to Environmental Pressure -- 5.2.4. Hypotheses Related to Facilitating Condition -- 5.2.5. Hypotheses Related to Country Readiness -- 5.2.6. Hypotheses Related to Culture -- 5.2.7. Hypothesis Related to Expectation -- 5.2.8. Hypotheses Related to ICT Use -- 5.2.9. Hypothesis Related to ICT Integration -- 5.2.10. Hypothesis Related to ICT Utilisation -- 5.2.11. Hypothesis Related to the Mediation Effects of Integration and Utilisation -- 5.3. Questionnaire Development -- 5.3.1. Overview of the Questionnaire -- 5.3.2. Measurement Instrument -- 5.4. Questionnaire Translation -- 5.4.1. Questionnaire Refinement and Pilot Test -- 5.5. Summary -- 6. Data Analysis -- 6.1. Introduction -- 6.2. Overview of Survey and Data Examination -- 6.2.1. Sample Profile -- 6.2.2. Data Examination -- 6.2.3. Justification of Reflective and Formative Measures -- 6.2.4. Examination of Possible Biases -- 6.3. Model Assessment -- 6.3.1. Assessment of the Measurement Model -- 6.3.2. Convergent Validity -- 6.3.3. Discriminant Validity -- 6.3.4. Indicator Weights for Formative Constructs -- 6.4. Validation of the Higher-Order Model -- 6.4.1. Validation of Second-Order Reflective Construct: Cognitive Evaluation (Reflective-Reflective) -- 6.4.2. Validation of Second-Order Formative Constructs -- 6.5. Structural Model -- 6.5.1. Nomological Validity -- 6.5.2. Tests of Hypotheses -- 6.5.3. Test for Mediating Role of Integration and Utilisation -- 6.6. Summary -- 7. Discussion and Interpretation -- 7.1. Introduction -- 7.2. Hypothesis Related to Cognitive Evaluation -- 7.2.1. Hypothesis H1 -- 7.3. Hypotheses Related to Owner Innovativeness -- 7.3.1. Hypothesis H2a -- 7.3.2. Hypothesis H2b -- 7.3.3. Hypothesis H2c -- 7.4. Hypotheses Related to Environmental Pressure -- 7.4.1. Hypothesis H3a -- 7.4.2. Hypothesis H3b.
7.5. Hypotheses Related to Facilitating Condition -- 7.5.1. Hypothesis H4a -- 7.5.2. Hypothesis H4b -- 7.6. Hypotheses Related to Country Readiness -- 7.6.1. Hypothesis H5a -- 7.6.2. Hypothesis H5b -- 7.7. Hypotheses Related to Culture -- 7.7.1. Hypothesis H6a -- 7.7.2. Hypothesis H6b -- 7.8. Hypothesis Related to Expectation -- 7.8.1. Hypothesis H7 -- 7.9. Hypotheses Related to ICT Use -- 7.9.1. Hypothesis H8a -- 7.9.2. Hypothesis H8b -- 7.9.3. Hypothesis H8c -- 7.10. Hypothesis Related to ICT Integration -- 7.10.1. Hypothesis H9 -- 7.11. Hypothesis Related to Degree of Utilisation -- 7.11.1. Hypothesis H10 -- 7.12. Hypothesis Related to Mediating Effects of ICT Integration and Degree of Utilisation -- 7.13. Summary -- 8. Conclusions and Future Research Directions -- 8.1. Introduction -- 8.2. Research Summary -- 8.3. Contributions of the Research -- 8.3.1. Theoretical Contribution -- 8.3.2. Practical Contribution -- 8.4. Limitations of the Study -- 8.5. Future Research Directions -- 8.6. Conclusion -- Notes -- Acknowledgement -- References -- Appendix A -- Sample Design(Stratified random sampling) -- Appendix B -- Graduate School of Business -- Interview Guide -- Appendix C -- Survey Questionnaire -- Questionnaire -- Appendix D -- Appendix E -- Acronyms -- Toward a Comprehensive Conceptualization of Digital Divide and its Impact on E-Government System Success -- Abstract -- 1. Introduction -- 1.1. Overview -- 1.2. Research Background -- 1.3. E-Government in Indonesia -- 1.4. Focus of the Research -- 1.5. Research Questions and Objectives -- 1.6. Significance of the Research -- 1.7. Organization of the Study -- 1.8. Summary -- 2. Literature Review -- 2.1. Introduction -- 2.2. Development Informatics, Community Informatics, and ICT4D -- 2.3. ICT Adoption -- 2.3.1. Theory of Reasoned Action -- 2.3.2. Technology Acceptance Model.
2.3.3. Theory of Planned Behavior -- 2.3.4. Diffusion of Innovation (DI) -- 2.3.5. Unified Theory of Acceptance and Use of Technology -- 2.4. Digital Divide -- 2.4.1. Definition of Digital Divide -- 2.4.2. Demographic Divide -- 2.4.3. Economic Divide -- 2.4.4. Access Divide -- 2.4.5. Capability Divide Based on Social Cognitive Theory -- 2.4.6. Innovativeness Divide Based on Personal Innovativeness -- 2.5. E-Government Systems -- 2.5.1. Reinventing Government Paradigm -- 2.5.2. Role of ICT in Reinventing Government -- 2.5.3. Benefits of E-Government -- 2.5.4. Stages of E-Government Development -- 2.5.5. Trust in E-Government -- 2.5.6. Challenges for E-Government Implementation -- 2.6. Information System Success -- 2.7. Initial Research Model -- 2.8. Summary -- 3. Research Design -- 3.1. Introduction -- 3.2. Research Paradigm -- 3.3. Research Methodology -- 3.4. Research Methods -- 3.4.1. Qualitative Field Study -- 3.4.2. Hypotheses and Questionnaire Development -- 3.4.3. Pilot Study -- 3.4.4. Quantitative Survey -- 3.5. Summary -- 4. Field Study and Comprehensive Research Model1 -- 4.1. Introduction -- 4.2. Interview Questionnaire Development -- 4.3. Sample Selection and Data Collection -- 4.4. Data Analysis -- 4.5. Inductive Analysis: Findings of Antecedents Factors -- 4.5.1. Influence of the Economic Divide on E-Government Use -- 4.5.2. Influence of the Access Divide on E-Government Use -- 4.6. Influence of the Capability Divide on E-Government Use -- 4.6.1. Influence of the Innovativeness Divide on E-Government Use -- 4.6.2. Influence of Trust in E-Government on E-Government Use -- 4.6.3. Relationships among the Variables in the Digital Divide -- 4.6.4. Influence of the Digital Divide on Trust in E-Government -- 4.6.5. E-Government System Success -- 4.6.6. Influence of Gender, Residential Place, and Age on E-Government Use.
4.6.7. Findings Regarding Other Relevant Factors.
Summary: This book recognizes the uniqueness of the moment; the number of new users of e-services will double during 2015-2018 (moving from 2 billion users mostly from developed nations to an additional 2 billion mostly from developing nations). This radical embrace of new e-service technologies will improve the quality of lives for residents globally.
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Cover -- Title -- Copyright -- Contents -- List of Contributors -- E-Services Adoption Processes in Developing Nations: Introduction to ABM&amp -- P Volume 23A -- Abstract -- 1. Introduction -- 2. Diffusion and Adoption of New Information and Communications Technologies by Small and Medium Enterprises -- 3. Toward a Conceptualization of Digital Divide and Its Impact on e-Government System Success -- 4. Conclusion -- References -- Diffusion of ICT and SME Performance -- Abstract -- 1. Introduction -- 1.1. Overview -- 1.2. Research Questions -- 1.3. Objectives -- 1.4. Research Background -- 1.5. Definition of Terms -- 1.6. Research Significance -- 1.6.1. Contribution to Theory -- 1.6.2. Contribution to Practice -- 1.7. Organisation of the Chapter -- 1.8. Summary -- 2. Literature Review -- 2.1. Introduction -- 2.2. Diffusion Process -- 2.3. Theoretical Framework -- 2.3.1. DOI Theory (Rogers, 1983)9 -- 2.3.2. TRA (Fishbein &amp -- Ajzen, 1975) -- 2.3.3. TPB (Ajzen, 1985) -- 2.3.4. TAM (Davis, 1986) -- 2.3.5. TOE Framework (Tornatzky &amp -- Fleischer, 1990) -- 2.3.6. Institutional Theory (DiMaggio &amp -- Powell, 1983) -- 2.3.7. UTAUT (Venkatesh et al., 2003) -- 2.3.8. Resource-Based View (RBV) (Barney, 1991) -- 2.3.9. Review of the Existing Theories -- 2.4. Review of Empirical Studies -- 2.5. Antecedents of ICT Use -- 2.5.1. Cognitive Evaluation and Owner Innovativeness -- 2.5.2. BI and Behavioural Expectation -- 2.5.3. Facilitating Condition and Country Readiness -- 2.5.4. Culture and Environmental Pressure -- 2.6. Antecedents of Organisational Performance -- 2.6.1. ICT Use, Integration and Degree of Utilisation -- 2.6.2. Organisational Performance -- 2.6.3. Mediation of Integration and Utilisation -- 2.7. Preliminary Research Model -- 2.8. Summary -- 3. Research Methodology -- 3.1. Introduction -- 3.2. Research Paradigm -- 3.3. Research Method.

3.4. Research Process -- 3.4.1. Step 1: Literature Review -- 3.4.2. Step 2: Preliminary Research Model -- 3.4.3. Step 3: Qualitative Field Study -- 3.4.4. Step 4: Model Refinement -- 3.4.5. Step 5: Hypotheses Construction -- 3.4.6. Step 6: Questionnaire Design -- 3.4.7. Step 7: Pre-testing of the Questionnaire -- 3.4.8. Step 8: Questionnaire Refinement -- 3.4.9. Step 9: Data Collection -- 3.4.10. Step 10: Data Analysis -- 3.4.11. Step 11: Result Interpretation and Report Writing -- 3.5. Qualitative Field Study Method -- 3.5.1. Sample Selection -- 3.5.2. Data Collection -- 3.5.3. Analyses of Qualitative Data -- 3.6. Quantitative Study Method -- 3.6.1. Developing the Questionnaire -- 3.6.2. Questionnaire Translation -- 3.6.3. Pre-Testing of the Questionnaire and Pilot Test -- 3.6.4. Sample Selection -- 3.6.5. Quantitative Data Collection -- 3.6.6. Quantitative Data Analysis -- 3.6.7. PLS Procedures -- 3.6.8. Assessment of Measurement Model -- 3.6.9. Structural Model Estimation and Nomological Validity -- 3.7. Summary -- 4. Field Study Analysis and Comprehensive Research Model -- 4.1. Introduction -- 4.2. Operation of the Field Study -- 4.2.1. Sample -- 4.2.2. Demographic Profiles of Study Respondents -- 4.2.3. Data Collection -- 4.2.4. Data Analysis -- 4.3. Findings (1st Stage: Inductive Analysis) -- 4.3.1. Factors and Variables -- 4.3.2. Linkages among the Factors -- 4.3.3. Comparison between Field Study Findings and the Initial Model (2nd Stage: Deductive Model) -- 4.3.4. Justification of the Findings in the Literature Review -- 4.3.5. Justification of Combining BI and Expectation -- 4.3.6. The Comprehensive Research Model -- 4.4. Summary -- 5. Hypotheses and Questionnaire Development -- 5.1. Introduction -- 5.2. Hypotheses Development -- 5.2.1. Hypothesis Related to Cognitive Evaluation -- 5.2.2. Hypotheses Related to Owner Innovativeness.

5.2.3. Hypotheses Related to Environmental Pressure -- 5.2.4. Hypotheses Related to Facilitating Condition -- 5.2.5. Hypotheses Related to Country Readiness -- 5.2.6. Hypotheses Related to Culture -- 5.2.7. Hypothesis Related to Expectation -- 5.2.8. Hypotheses Related to ICT Use -- 5.2.9. Hypothesis Related to ICT Integration -- 5.2.10. Hypothesis Related to ICT Utilisation -- 5.2.11. Hypothesis Related to the Mediation Effects of Integration and Utilisation -- 5.3. Questionnaire Development -- 5.3.1. Overview of the Questionnaire -- 5.3.2. Measurement Instrument -- 5.4. Questionnaire Translation -- 5.4.1. Questionnaire Refinement and Pilot Test -- 5.5. Summary -- 6. Data Analysis -- 6.1. Introduction -- 6.2. Overview of Survey and Data Examination -- 6.2.1. Sample Profile -- 6.2.2. Data Examination -- 6.2.3. Justification of Reflective and Formative Measures -- 6.2.4. Examination of Possible Biases -- 6.3. Model Assessment -- 6.3.1. Assessment of the Measurement Model -- 6.3.2. Convergent Validity -- 6.3.3. Discriminant Validity -- 6.3.4. Indicator Weights for Formative Constructs -- 6.4. Validation of the Higher-Order Model -- 6.4.1. Validation of Second-Order Reflective Construct: Cognitive Evaluation (Reflective-Reflective) -- 6.4.2. Validation of Second-Order Formative Constructs -- 6.5. Structural Model -- 6.5.1. Nomological Validity -- 6.5.2. Tests of Hypotheses -- 6.5.3. Test for Mediating Role of Integration and Utilisation -- 6.6. Summary -- 7. Discussion and Interpretation -- 7.1. Introduction -- 7.2. Hypothesis Related to Cognitive Evaluation -- 7.2.1. Hypothesis H1 -- 7.3. Hypotheses Related to Owner Innovativeness -- 7.3.1. Hypothesis H2a -- 7.3.2. Hypothesis H2b -- 7.3.3. Hypothesis H2c -- 7.4. Hypotheses Related to Environmental Pressure -- 7.4.1. Hypothesis H3a -- 7.4.2. Hypothesis H3b.

7.5. Hypotheses Related to Facilitating Condition -- 7.5.1. Hypothesis H4a -- 7.5.2. Hypothesis H4b -- 7.6. Hypotheses Related to Country Readiness -- 7.6.1. Hypothesis H5a -- 7.6.2. Hypothesis H5b -- 7.7. Hypotheses Related to Culture -- 7.7.1. Hypothesis H6a -- 7.7.2. Hypothesis H6b -- 7.8. Hypothesis Related to Expectation -- 7.8.1. Hypothesis H7 -- 7.9. Hypotheses Related to ICT Use -- 7.9.1. Hypothesis H8a -- 7.9.2. Hypothesis H8b -- 7.9.3. Hypothesis H8c -- 7.10. Hypothesis Related to ICT Integration -- 7.10.1. Hypothesis H9 -- 7.11. Hypothesis Related to Degree of Utilisation -- 7.11.1. Hypothesis H10 -- 7.12. Hypothesis Related to Mediating Effects of ICT Integration and Degree of Utilisation -- 7.13. Summary -- 8. Conclusions and Future Research Directions -- 8.1. Introduction -- 8.2. Research Summary -- 8.3. Contributions of the Research -- 8.3.1. Theoretical Contribution -- 8.3.2. Practical Contribution -- 8.4. Limitations of the Study -- 8.5. Future Research Directions -- 8.6. Conclusion -- Notes -- Acknowledgement -- References -- Appendix A -- Sample Design(Stratified random sampling) -- Appendix B -- Graduate School of Business -- Interview Guide -- Appendix C -- Survey Questionnaire -- Questionnaire -- Appendix D -- Appendix E -- Acronyms -- Toward a Comprehensive Conceptualization of Digital Divide and its Impact on E-Government System Success -- Abstract -- 1. Introduction -- 1.1. Overview -- 1.2. Research Background -- 1.3. E-Government in Indonesia -- 1.4. Focus of the Research -- 1.5. Research Questions and Objectives -- 1.6. Significance of the Research -- 1.7. Organization of the Study -- 1.8. Summary -- 2. Literature Review -- 2.1. Introduction -- 2.2. Development Informatics, Community Informatics, and ICT4D -- 2.3. ICT Adoption -- 2.3.1. Theory of Reasoned Action -- 2.3.2. Technology Acceptance Model.

2.3.3. Theory of Planned Behavior -- 2.3.4. Diffusion of Innovation (DI) -- 2.3.5. Unified Theory of Acceptance and Use of Technology -- 2.4. Digital Divide -- 2.4.1. Definition of Digital Divide -- 2.4.2. Demographic Divide -- 2.4.3. Economic Divide -- 2.4.4. Access Divide -- 2.4.5. Capability Divide Based on Social Cognitive Theory -- 2.4.6. Innovativeness Divide Based on Personal Innovativeness -- 2.5. E-Government Systems -- 2.5.1. Reinventing Government Paradigm -- 2.5.2. Role of ICT in Reinventing Government -- 2.5.3. Benefits of E-Government -- 2.5.4. Stages of E-Government Development -- 2.5.5. Trust in E-Government -- 2.5.6. Challenges for E-Government Implementation -- 2.6. Information System Success -- 2.7. Initial Research Model -- 2.8. Summary -- 3. Research Design -- 3.1. Introduction -- 3.2. Research Paradigm -- 3.3. Research Methodology -- 3.4. Research Methods -- 3.4.1. Qualitative Field Study -- 3.4.2. Hypotheses and Questionnaire Development -- 3.4.3. Pilot Study -- 3.4.4. Quantitative Survey -- 3.5. Summary -- 4. Field Study and Comprehensive Research Model1 -- 4.1. Introduction -- 4.2. Interview Questionnaire Development -- 4.3. Sample Selection and Data Collection -- 4.4. Data Analysis -- 4.5. Inductive Analysis: Findings of Antecedents Factors -- 4.5.1. Influence of the Economic Divide on E-Government Use -- 4.5.2. Influence of the Access Divide on E-Government Use -- 4.6. Influence of the Capability Divide on E-Government Use -- 4.6.1. Influence of the Innovativeness Divide on E-Government Use -- 4.6.2. Influence of Trust in E-Government on E-Government Use -- 4.6.3. Relationships among the Variables in the Digital Divide -- 4.6.4. Influence of the Digital Divide on Trust in E-Government -- 4.6.5. E-Government System Success -- 4.6.6. Influence of Gender, Residential Place, and Age on E-Government Use.

4.6.7. Findings Regarding Other Relevant Factors.

This book recognizes the uniqueness of the moment; the number of new users of e-services will double during 2015-2018 (moving from 2 billion users mostly from developed nations to an additional 2 billion mostly from developing nations). This radical embrace of new e-service technologies will improve the quality of lives for residents globally.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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