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Determining the factors of m-wallets adoption. A twofold SEM-ANN approach
16 references·13 citing·32 second hop
Determining the factors of m-wallets adoption. A twofold SEM-ANN approach (2022)Determining the factors of m-wallets adop…Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence (2019)Determining factors in the ad…Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation (2018)Examining the role of trust a…Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry (2017)Security-related factors in e…Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust (2017)Factors influencing adoption …Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card (2016)Mobile technology acceptance …Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology (2016)Mobile payment: Understanding…Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust (2015)Modeling Consumers’ Adoption …It's about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels (2015)It's about time: Revisiting U…A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)A new criterion for assessing…Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework (2011)Influence of the user’s psych…Towards an understanding of the consumer acceptance of mobile wallet (2009)Towards an understanding of t…Exploring consumer adoption of mobile payments – A qualitative study (2007)Exploring consumer adoption o…Diffusion of innovations. (2003)Diffusion of innovations.An Attitudinal Model of Technology-Based Self-Service: Moderating Effects of Consumer Traits and Situational Factors (2002)An Attitudinal Model of Techn…A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology (1998)A Conceptual and Operational …Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Toward comprehensive understanding of m-wallet adoption: the significance of user perceptions and financial autonomy (2025)Toward comprehensive understa…The FinTech adoption in rural areas of Pakistan: an application of SEM and ANN approach (2025)The FinTech adoption in rural…Factors influencing intentions to use Apple Pay: A behavioral perspective (2025)Factors influencing intention…Evaluating the influence of IT governance, Fintech adoption, and financial literacy on sustainable performance (2025)Evaluating the influence of I…Analyzing Influence Factors of Consumers Switching Intentions from Cash Payments to Quick Response Code Indonesian Standard (QRIS) Digital Payments (2025)Analyzing Influence Factors o…Understanding user adoption of mobile wallet: extended TAM with knowledge sharing, perceived value, perceived privacy awareness and control, perceived security (2024)Understanding user adoption o…The role of financial literacy in enhancing firm’s sustainable performance through Fintech adoption: a moderated mediation analysis (2024)The role of financial literac…Factors influencing intentions to use QRIS: A two-staged PLS-SEM and ANN approach (2024)Factors influencing intention…Does personal innovativeness and personal anxiety matter? The predictors of continuance use intention of an e-wallet system (2024)Does personal innovativeness …Fintech adoption dynamics in a pandemic: An experience from some financial institutions in Nigeria during COVID-19 using machine learning approach (2023)Fintech adoption dynamics in …A SEM-ANN analysis to examine sustainable performance in SMEs: The moderating role of transformational leadership (2023)A SEM-ANN analysis to examine…The Role of Islamic Religiosity on the Relationship Between Risk, Trust, and Intention to Use Digital Payments During the COVID-19 Pandemic (2022)The Role of Islamic Religiosi…Predicting consumer intention toward eco-friendly smart home services: extending the theory of planned behavior (2022)Predicting consumer intention…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy mechanism in human agency. (1982)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs (2019)Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020)Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing (2021)The theory of planned behavior (1991)Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits (2011)Qualitative Data Analysis: An Expanded Sourcebook (1994)An empirical examination of continuance intention of mobile payment services (2012)Diffusion of Innovations 1 (2019)Nitel Araştırma Süreci: Nitel Bir Araştırma Nasıl Yapılır? (2019)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Choosing among Alternative Service Delivery Modes: An Investigation of Customer Trial of Self-Service Technologies (2005)Intentions to Use Mobile Services: Antecedents and Cross-Service Comparisons (2005)The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift. (2007)User Acceptance of Information Technology: Toward A Unified View1 (2003)Using PLS path modeling in new technology research: updated guidelines (2016)When to use and how to report the results of PLS-SEM (2018)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)Understanding Attitudes and Predicting Social Behavior (1980)Structural Equations with Latent Variables (1989)Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage1 (2000)Developing and Validating Trust Measures for e-Commerce: An Integrative Typology (2002)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA (2018)Is innovation always beneficial? A meta-analysis of the relationship between innovation and performance in SMEs (2010)Diffusion of Innovations (2015)The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2020)
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References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling38,283 cited
  • 2003Diffusion of innovations.13,723 cited
  • 1998A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology3,573 cited
  • 2002An Attitudinal Model of Technology-Based Self-Service: Moderating Effects of Consumer Traits and Situational Factors1,895 cited
  • 2017Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust1,593 cited
  • 2016Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology1,371 cited
  • 2007Exploring consumer adoption of mobile payments – A qualitative study1,005 cited
  • 2015Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust920 cited
  • 2009Towards an understanding of the consumer acceptance of mobile wallet769 cited
  • 2018Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation659 cited
  • 2011Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework637 cited
  • 2019Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence

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599 cited
  • 2017Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry597 cited
  • 2016Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card585 cited
  • 2015It's about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels553 cited
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    • 2022Predicting consumer intention toward eco-friendly smart home services: extending the theory of planned behavior21 cited
    • 2025Evaluating the influence of IT governance, Fintech adoption, and financial literacy on sustainable performance21 cited
    • 2023Fintech adoption dynamics in a pandemic: An experience from some financial institutions in Nigeria during COVID-19 using machine learning approach19 cited
    • 2025The FinTech adoption in rural areas of Pakistan: an application of SEM and ANN approach10 cited
    • 2024Does personal innovativeness and personal anxiety matter? The predictors of continuance use intention of an e-wallet system9 cited
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    • 2025Factors influencing intentions to use Apple Pay: A behavioral perspective8 cited
    • 2022The Role of Islamic Religiosity on the Relationship Between Risk, Trust, and Intention to Use Digital Payments During the COVID-19 Pandemic8 cited
    • 2025Analyzing Influence Factors of Consumers Switching Intentions from Cash Payments to Quick Response Code Indonesian Standard (QRIS) Digital Payments7 cited