000			02779nam a2200229Ia 4500
003			OSt
005			20251211141501.0
008			201222b2017 ||||| |||| 00| 0 eng
040			_c*
100			_aYashas C Gowda
245		0	_aStage of E-Governance and Decision Process : _bAnalysis of Social Factors, Motivational Drives and Learning Behaviour of a Citizen
260			_aBangalore _bNLSIU _c2017
300			_a76p
505			_aContents 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.
650			_aExpectation Theory
650			_aMarkov Decission Process
650			_aQ Learning
650			_aSystem Theory
700			_aDr. Abdul Aziz - Guide
856			_uhttps://dans.nls.ac.in/handle/123456789/213
942			_cDIS _2ddc
999			_c114908 _d114908