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Unveiling the Determinants and the Effects of Online Social

發(fā)布時間:2021-02-04 16:10
  由于信息和通信技術的迅猛發(fā)展,信息傳播渠道得到了很大擴展。以往,資本市場投資決策往往有賴于傳統(tǒng)媒體、人際關聯(lián)和與交易有關的出版資料。近年來,社交媒體的活躍用戶已經大大增加,占到世界總人口的45%(38.5億)。由于在線社交網絡(OSNs)的迅速興起,虛擬社區(qū)已發(fā)展成為流行的交流和娛樂論壇。它對用戶的影響日益顯著,尤其是資本市場投資者的投資決策。隨后,在線社交網絡迅速發(fā)展將成為全球新興的信息傳播平臺。在當今世界,對于投資者(個人和機構)在資本市場的投資決策,在線社交網絡的潛在影響已無法回避。迄今為止,學者們尚未廣泛研究投資者在資本市場投資決策中使用該平臺的情況,并且缺乏其在虛擬環(huán)境中進行決策的獨特模型。本文試圖確定促使投資者采用在線社交網絡的決定因素,以及隨著虛擬社區(qū)決策模型(VCDM)的發(fā)展,每個因素對投資者在資本市場上的投資決策的影響程度。對于研究1和3,采用在線和離線的結構化問卷從資本市場個人投資者收集的510個數據,對于研究2,采用以在線問卷在孟加拉國機構投資者收集的285個數據。數據分析使用結構方程模型(SEM)。第一項研究開發(fā)了一種分別從信息系統(tǒng)和營銷學科將技術接受性模型(T... 

【文章來源】:對外經濟貿易大學北京市 211工程院校 教育部直屬院校

【文章頁數】:377 頁

【學位級別】:博士

【文章目錄】:
摘要
ABSTRACT
LIST OF ABBREVIATIONS
CHAPTER 1- INTRODUCTION
    1.1 Motivation of the Study
        1.1.1 Practical Motivation
        1.1.2 Research Dilemma and Gap
    1.2 Overall Research Framework
    1.3 Contributing Theories/Models to Develop Constructs in Thesis
    1.4 Overall Findings
    1.5 Overall Contribution
    1.6 Organization of Thesis
CHAPTER 2- LITERATURE REVIEW
    2.1 Conceptualization and Categorizations of Online Social Networks (OSNs)
    2.2 Review of Literature on OSNs in Stock Market (Study 1 and Study 2)
    2.3 Information dissemination process on Online Social Network (OSNs) platforms andInvestment decision
    2.4 Literature Review on Model Integration in Technology Acceptance Context
    2.5 Theoretical Model Comparison
    2.6 Theoretical Background (Study1, Study2 and Study3)
    2.7 Chapter Summary
CHAPTER 3- STUDY1 (INDIVIDUAL INVESTORS’ PERSPECTIVE)
    3.1. Introduction
    3.2 Theoretical Model and Hypothesis Development
        3.2.1 Justification of Research Model
        3.2.2 Hypothesis Development
        3.2.3 Moderating role of Gender
    3.3 Methodology
        3.3.1 Research Method
        3.3.2 Research Settings
        3.3.3 Measurement Scale Development
        3.3.4 Instrument Design
        3.3.5 Pretesting and Pilot Testing
        3.3.6 Sample Frame and Size Selection
        3.3.7 Data Collection
        3.3.8 Analytic Method
    3.4. Analysis and Results
        3.4.1 Demographic Characteristics of Sample
        3.4.2 Measurement Model
        3.4.3 Common Method Bias Estimations
        3.4.4 Non-Response Bias
        3.4.5 Structural Model
            3.4.5.1 Assessment of Research Model Fitness
            3.4.5.2 Hypotheses Results
        3.4.6 Mediation Analysis
        3.4.7 Moderation effect of Gender
        3.4.8 Correlations between ONSs Use and Investment Decision in Capital Market
    3.5 Discussions
    3.6 Limitations and Future Research
    3.7 Implications
        3.7.1 Implications to Knowledge
        3.7.2 Implications to Policy Maker
    3.8. Conclusion
CHAPTER 4- STUDY2 (INSTITUTIONAL INVESTORS’ PERSPECTIVE)
    4.1. Introduction
    4.2 Unified Framework and Hypothesis Development
        4.2.1 Justification of Unified Framework
        4.2.2 Hypothesis Development
        4.2.3 Moderating Role of Organizational IS Capability
    4.3. Research Methodology
        4.3.1 Research Method
        4.3.2 Qualitative Study
        4.3.3 Quantitative Study
            4.3.3.1. Instrument Development
            4.3.3.2. Pre-Testing and Pilot Testing of the Questionnaire
            4.3.3.3 Sample Size Selection
            4.3.3.4 Data Collection
            4.3.3.5 Analytic Method
    4.4 Analysis and Results
        4.4.1 Organization’s Profile
        4.4.2. Measurement Model
        4.4.3 Common Method Bias Estimations
        4.4.4 Non-Response Bias Estimation
        4.4.5 Structural model
            4.4.5.1 Assessment of Research Model Fitness
            4.4.5.2 Hypotheses Results
        4.4.6 Mediation Analysis
        4.4.7 Moderation Effect of Organizational IS Capability
    4.5 Discussions
    4.6 Implications
        4.6.1 Implications to Knowledge
        4.6.2 Implications to Policy Making
    4.7 Limitations and Future Research
    4.8 Conclusion
CHAPTER 5 – STUDY 3: VIRTUAL COMMUNITY’S DECISION MODEL (VCDM)
    5.1. Introduction
    5.2. Reviews of Existing Users Technology Acceptance Frameworks, Marketing, SocialScience and Behavioral Finance Theories
        5.2.1 Theoretical Unification
    5.3. Justification of Theoretical Constructs for Development of VCDM
    5.4 Research Model and Development of Hypothesis for VCDM
    5.5 Research Method
        5.5.1 Research Settings
        5.5.2 Measures
        5.5.3 Questionnaire Design
        5.5.4 Pre-Testing and Pilot Testing of Instrument
        5.5.5 Sample Size Selection
        5.5.6 Data Collection
        5.5.7 Data Analysis
    5.6. Empirical Findings
        5.6.1 Demographic Profile of Sample
        5.6.2 Assessment of Research Model Fitness
            5.6.2.1 Measurement Model Fitness
            5.6.2.2 Structural Model Fitness
        5.6.3 Non-Response Bias Estimations
        5.6.4 Measurement Model
            5.6.4.1 Evaluation of Reliability and Convergent Validity
            5.6.4.2 Evaluation of Discriminant validity
        5.6.5 Common Method Bias Estimations
        5.6.6 Structural Model
            5.6.6.1 Interrelationship among Model Constructs
        5.6.7 Mediation Analysis
        5.6.8. Moderation Effect of Virtual Group Use Experience (Vgu.Exp)
    5.7 Discussions
    5.8 Implications
        5.8.1 Theoretical Implications
        5.8.2 Implications for Practice
    5.9 Limitations and Future Research
    5.10. Conclusion
CHAPTER 6 - OVERALL CONCLUSION
REFERENCES
APPENDIX
ACKNOWLEDGEMENT
Personal Resume


【參考文獻】:
期刊論文
[1]微博中基于多關系網絡的話題影響力個體挖掘(英文)[J]. 丁兆云,賈焰,周斌,韓毅.  中國通信. 2013(01)



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