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From Cash to Clicks: A Systematic Review of Digital Payment Adoption Using the ADO Framework
16 references·2 citing·35 second hopsampled
From Cash to Clicks: A Systematic Review of Digital Payment Adoption Using the ADO Framework (2024)From Cash to Clicks: A Systematic Review …The role of fintech in driving financial inclusion in developing and emerging markets: issues, challenges and prospects (2022)The role of fintech in drivin…The effect of perceived security, perceived ease of use, and perceived usefulness on consumer behavioral intention through trust in digital payment platform (2022)The effect of perceived secur…Antecedents to the Adoption of Mobile Payment in China and Italy: an Integration of UTAUT2 and Innovation Resistance Theory (2022)Antecedents to the Adoption o…I Am too old for this! Barriers contributing to the non-adoption of mobile payment (2021)I Am too old for this! Barrie…Positive and negative word of mouth (WOM) are not necessarily opposites: A reappraisal using the dual factor theory (2020)Positive and negative word of…Financial literacy: A systematic review and bibliometric analysis (2020)Financial literacy: A systema…Financial literacy and financial behaviour: a bibliometric analysis (2020)Financial literacy and financ…An innovation resistance theory perspective on mobile payment solutions (2020)An innovation resistance theo…Sustainable Tourism in the Open Innovation Realm: A Bibliometric Analysis (2019)Sustainable Tourism in the Op…Consumer attitude and intention to adopt mobile wallet in India – An empirical study (2019)Consumer attitude and intenti…Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology (2016)Mobile payment: Understanding…Antecedents of the adoption of the new mobile payment systems: The moderating effect of age (2014)Antecedents of the adoption o…Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India (2014)Adoption readiness, personal …An empirical examination of factors influencing the intention to use mobile payment (2009)An empirical examination of f…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Advancing Protean Career Orientation for a Dynamic Workforce: Scale Development and Validation (2026)Advancing Protean Career Orie…Understanding Factors Influencing CBDC Usage Intentions Among Indian Households: Applying an Extended UTAUT Model (2025)Understanding Factors Influen…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)The theory of planned behavior (1991)Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach (2017)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)Understanding the attitude and intention to use smartphone chatbots for shopping (2020)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)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Older Adults' Reasons for Using Technology while Aging in Place (2015)Diffusion of Innovations 1 (2019)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2020)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)An innovation resistance theory perspective on purchase of eco-friendly cosmetics (2020)Consumers’ Resistance to Digital Innovations: A Systematic Review and Framework Development (2020)Has financial attitude impacted the trading activity of retail investors during the COVID-19 pandemic? (2020)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Software survey: VOSviewer, a computer program for bibliometric mapping (2009)Scientific procedures and rationales for systematic literature reviews (SPAR‐4‐SLR) (2021)Meta‐analysis and traditional systematic literature reviews—What, why, when, where, and how? (2022)Personalization in personalized marketing: Trends and ways forward (2022)An empirical examination of continuance intention of mobile payment services (2012)Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust (2015)Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020)Determinants of intention to use the mobile banking apps: An extension of the classic TAM model (2017)Automated vehicle acceptance in China: Social influence and initial trust are key determinants (2020)Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach (2019)How pre-adoption expectancies shape post-adoption continuance intentions: An extended expectation-confirmation model (2020)The disruptive mobile wallet in the hospitality industry: An extended mobile technology acceptance model (2020)A study of college students' intention to use metaverse technology for basketball learning based on UTAUT2 (2022)Customer adoption of p2p mobile payment systems: The role of perceived risk (2022)The meta-commerce paradox: exploring consumer non-adoption intentions (2024)
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References

  • 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
  • 2016Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology1,371 cited
  • 2009An empirical examination of factors influencing the intention to use mobile payment1,327 cited
  • 2020Financial literacy: A systematic review and bibliometric analysis1,146 cited
  • 2014Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India606 cited
  • 2019Consumer attitude and intention to adopt mobile wallet in India – An empirical study518 cited
  • 2014Antecedents of the adoption of the new mobile payment systems: The moderating effect of age504 cited
  • 2020An innovation resistance theory perspective on mobile payment solutions487 cited
  • 2022Antecedents to the Adoption of Mobile Payment in China and Italy: an Integration of UTAUT2 and Innovation Resistance Theory250 cited
  • 2019Sustainable Tourism in the Open Innovation Realm: A Bibliometric Analysis240 cited
  • 2022The role of fintech in driving financial inclusion in developing and emerging markets: issues, challenges and prospects221 cited
  • 2020Positive and negative word of mouth (WOM) are not necessarily opposites: A reappraisal using the dual factor theory

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219 cited
  • 2020Financial literacy and financial behaviour: a bibliometric analysis215 cited
  • 2021I Am too old for this! Barriers contributing to the non-adoption of mobile payment177 cited
  • 2022The effect of perceived security, perceived ease of use, and perceived usefulness on consumer behavioral intention through trust in digital payment platform145 cited
  • Cited by

    • 2025Understanding Factors Influencing CBDC Usage Intentions Among Indian Households: Applying an Extended UTAUT Model12 cited
    • 2026Advancing Protean Career Orientation for a Dynamic Workforce: Scale Development and Validation0 cited