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Investigating the Adoption Factors of Cryptocurrencies—A Case of Bitcoin: Empirical Evidence From China
16 references·16 citing·22 second hopsampled
Investigating the Adoption Factors of Cryptocurrencies—A Case of Bitcoin: Empirical Evidence From China (2021)Investigating the Adoption Factors of Cry…Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Consumer Acceptance and Use o…Sources of Method Bias in Social Science Research and Recommendations on How to Control It (2011)Sources of Method Bias in Soc…PLS-SEM: Indeed a Silver Bullet (2011)PLS-SEM: Indeed a Silver Bull…Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Technology Acceptance Model 3…Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management1 (2007)Assimilation of Enterprise Sy…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Trust and TAM in Online Shopping: An Integrated Model1 (2003)Trust and TAM in Online Shopp…A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A Theoretical Extension of th…A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires (1998)A Brief Tutorial on the Devel…User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)User Acceptance of Computer T…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…On the Evaluation of Structural Equation Models (1988)On the Evaluation of Structur…Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models (1982)Asymptotic Confidence Interva…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Understanding Attitudes and Predicting Social Behavior (1980)Understanding Attitudes and P…Estimating Nonresponse Bias in Mail Surveys (1977)Estimating Nonresponse Bias i…What do we know about cryptocurrency investment? An empirical study of its adoption among Indian retail investors (2024)What do we know about cryptoc…Return and volatility spillovers between non-fungible tokens and conventional currencies: evidence from the TVP-VAR model (2024)Return and volatility spillov…Cryptocurrency awareness, acceptance, and adoption: the role of trust as a cornerstone (2024)Cryptocurrency awareness, acc…What explains the sudden surge in cryptocurrency? A consumption value theory perspective (2023)What explains the sudden surg…Factors affecting the adoption of cryptocurrencies for financial transactions (2023)Factors affecting the adoptio…A value-based approach to the adoption of cryptocurrencies (2023)A value-based approach to the…You can't hold the tide with a broom: Cryptocurrency payments and tourism in South Korea and China (2022)You can't hold the tide with …Understanding the adoption of cryptocurrencies for financial transactions within a high-risk context (2022)Understanding the adoption of…The intention to use cryptocurrency: A meta-analysis of what we know (2022)The intention to use cryptocu…Mobile, traditional, and cryptocurrency payments influence consumer trust, attitude, and destination choice: Chinese versus Koreans (2022)Mobile, traditional, and cryp…Investment in cryptocurrencies: a study of its adoption among Malaysian investors (2022)Investment in cryptocurrencie…Investigating e-Retailers’ Intentions to Adopt Cryptocurrency Considering the Mediation of Technostress and Technology Involvement (2022)Investigating e-Retailers’ In…Factors influencing the adoption of Cryptocurrency in Jordan: An application of the extended TRA model (2022)Factors influencing the adopt…Evaluation of Cryptocurrencies for Investment Decisions in the Era of Industry 4.0: A Borda Count-Based Intuitionistic Fuzzy Set Extensions EDAS-MAIRCA-MARCOS Multi-Criteria Methodology (2022)Evaluation of Cryptocurrencie…Determinants of individuals’ intentions to use central bank digital currency: evidence from China (2022)Determinants of individuals’ …A Moderated Mediation Model of Factors Influencing Intention to Adopt Cryptocurrency among University Students (2022)A Moderated Mediation Model o…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy mechanism in human agency. (1982)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Partial least squares structural equation modeling (PLS-SEM) (2014)When to use and how to report the results of PLS-SEM (2018)The theory of planned behavior (1991)Older Adults' Reasons for Using Technology while Aging in Place (2015)Diffusion of Innovations 1 (2019)Structural Equations with Latent Variables (1989)Structural Equations with Latent Variables. (1991)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies (2012)Servant Leadership: A systematic review and call for future research (2018)Common Method Bias: It's Bad, It's Complex, It's Widespread, and It's Not Easy to Fix (2023)Significance tests and goodness of fit in the analysis of covariance structures. (1980)From Intentions to Actions: A Theory of Planned Behavior (1985)Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior1 (2000)Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016)Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017)PSYCHOLOGICAL, EMPOWERMENT IN THE WORKPLACE: DIMENSIONS, MEASUREMENT AND VALIDATION. (1995)An assessment of the use of partial least squares structural equation modeling in marketing research (2011)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 1988On the Evaluation of Structural Equation Models26,139 cited
  • 1980Understanding Attitudes and Predicting Social Behavior25,805 cited
  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
  • 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies22,991 cited
  • 2011PLS-SEM: Indeed a Silver Bullet21,614 cited
  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
  • 2011Sources of Method Bias in Social Science Research and Recommendations on How to Control It15,698 cited
  • 1982Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models12,786 cited
  • 1977Estimating Nonresponse Bias in Mail Surveys10,334 cited
  • 2003Trust and TAM in Online Shopping: An Integrated Model18,618 cited
  • 2008Technology Acceptance Model 3 and a Research Agenda on Interventions8,138 cited

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  • 1998A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires4,086 cited
  • 2007Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management13,918 cited
  • Cited by

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    • 2022Factors influencing the adoption of Cryptocurrency in Jordan: An application of the extended TRA model91 cited
    • 2022Mobile, traditional, and cryptocurrency payments influence consumer trust, attitude, and destination choice: Chinese versus Koreans74 cited
    • 2022A Moderated Mediation Model of Factors Influencing Intention to Adopt Cryptocurrency among University Students71 cited
    • 2022You can't hold the tide with a broom: Cryptocurrency payments and tourism in South Korea and China65 cited
    • 2023A value-based approach to the adoption of cryptocurrencies63 cited
    • 2022Investigating e-Retailers’ Intentions to Adopt Cryptocurrency Considering the Mediation of Technostress and Technology Involvement58 cited
    • 2022Understanding the adoption of cryptocurrencies for financial transactions within a high-risk context56 cited
    • 2022Determinants of individuals’ intentions to use central bank digital currency: evidence from China48 cited
    • 2022The intention to use cryptocurrency: A meta-analysis of what we know45 cited
    • 2022Evaluation of Cryptocurrencies for Investment Decisions in the Era of Industry 4.0: A Borda Count-Based Intuitionistic Fuzzy Set Extensions EDAS-MAIRCA-MARCOS Multi-Criteria Methodology44 cited
    • 2024What do we know about cryptocurrency investment? An empirical study of its adoption among Indian retail investors32 cited
    • 2022Investment in cryptocurrencies: a study of its adoption among Malaysian investors31 cited
    • 2023Factors affecting the adoption of cryptocurrencies for financial transactions30 cited
    • 2024Return and volatility spillovers between non-fungible tokens and conventional currencies: evidence from the TVP-VAR model30 cited
    • 2023What explains the sudden surge in cryptocurrency? A consumption value theory perspective27 cited