Contents
Abstract;
List of Abbreviations;
List of Figures;
List of Tables;
1 Introduction;
1.1 Background;
1.2 Problem Statement;
1.3 Motivation;
2 Literature Review;
2.1 E-Governance in the World Context;
2.2 E-Governance in India;
2.2.1 Digital India Program;
2.3 E-Governance – Understanding Social Change;
2.3.1 Theories of Information Technology and Social Change;
2.4 Stages of E-Governance;
2.4.1 Need for Analysis of Different Stages of E-Governance;
2.5 Challenges of e-Governance;
2.5.1 Conditions that Affect Implementation of e-Gov Initiatives in Local Governments;
2.6 Digital Divide – Inertia Towards e-Governance Initiatives;
2.6.1 Different Indicators to Study the Performance of EGovernance;
2.6.2 Lack of Individual Usage;
2.7 Motivation – The Drive to Imbibe Digital Literacy;
2.7.1 Expectation Theory;
2.7.2 Machine Learning to Predict Human Behaviour;
3 Methodology;
3.1 Research Questions;
3.2 Research Objectives;
3.3 Research Methodology;
4 E – Governance and Social Change;
4.1 Introduction;
4.2 Methodology;
4.3 Actors and Institutions of E-governance;
4.4 Framework based on Theories of IT and Social Change;
4.5 Causal Loop Framework;
4.6 Conclusion;
5 E – Governance and Motivation;
5.1 Introduction;
5.2 Methodology
5.3 Impact of Stage of e-governance on the Usage;
5.4 Impact of the Administrative level on usage;
5.5 Expectation Theory and Individual Motivation;
5.5.1 Analysis of Motivation Based on Expectancy Theory;
5.6 Conclusion;
6 Learning Behaviour through Motivation and Rewards;
6.1 Introduction;
6.2 Methodology;
6.3 Q-learning based Reinforcement Learning 6.4 E-governance and the Learning Environment;
6.4.1 Learning Rate Parameter – α;
6.4.2 Discount Rate – γ;
6.4.3 Rewards – R;
6.4.4 Markovian Decision Process and the choice of actions by Participants;
6.5 Analysis of Q – Values;
6.5.1 Observations made when learning parameter is changed to 0.85;
6.5.2 Observations made when the motivation factor is changed;
6.6 Conclusion;
7 Recommendations Bibliography.