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Predicting elderly users' intention of digital payments during COVID-19: an extension of the theory of planned behavior model
16 references·1 citing·46 second hopsampled
Predicting elderly users' intention of digital payments during COVID-19: an extension of the theory of planned behavior model (2023)Predicting elderly users' intention of di…I Am too old for this! Barriers contributing to the non-adoption of mobile payment (2021)I Am too old for this! Barrie…Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach (2021)Examining the determinants of…Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020)Understanding consumer adopti…Impact of digital surge during Covid-19 pandemic: A viewpoint on research and practice (2020)Impact of digital surge durin…How pre-adoption expectancies shape post-adoption continuance intentions: An extended expectation-confirmation model (2020)How pre-adoption expectancies…Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach (2019)Predicting antecedents of wea…Mobile payments in India: the privacy factor (2018)Mobile payments in India: the…How perceived value drives the use of mobile financial services apps (2018)How perceived value drives th…Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology (2016)Mobile payment: Understanding…Understanding perceived risks in mobile payment acceptance (2015)Understanding perceived risks…Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust (2015)Modeling Consumers’ Adoption …Antecedents of the adoption of the new mobile payment systems: The moderating effect of age (2014)Antecedents of the adoption o…Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia (2011)Predicting consumer decisions…Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model (2004)Internet Users' Information P…Communication and Control Processes in the Delivery of Service Quality (1988)Communication and Control Pro…From Intentions to Actions: A Theory of Planned Behavior (1985)From Intentions to Actions: A…Digital by Default? A Critical Review of Age-Driven Inequalities in Payment Innovation (2025)Digital by Default? A Critica…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Understanding Information Technology Usage: A Test of Competing Models (1995)Efficacy of the Theory of Planned Behaviour: A meta‐analytic review (2001)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)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)Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing (2021)Coefficient Alpha and the Internal Structure of Tests (1951)A Conceptual Model of Service Quality and Its Implications for Future Research (1985)Market Orientation: The Construct, Research Propositions, and Managerial Implications (1990)An empirical assessment of the SERVQUAL scale (1992)The Commitment-Trust Theory of Relationship Marketing (1994)The Management of Customer-Contact Service Employees: An Empirical Investigation (1996)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers? (2016)Consumers response towards mobile commerce applications: S-O-R approach (2020)Point of adoption and beyond. Initial trust and mobile-payment continuation intention (2020)The theory of planned behavior (1991)User Acceptance of Information Technology: Toward A Unified View1 (2003)Determinants of intention to use the mobile banking apps: An extension of the classic TAM model (2017)Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach (2017)Automated vehicle acceptance in China: Social influence and initial trust are key determinants (2020)Cultures and Organizations: Software of the Mind. (1993)A SEM-neural network approach for predicting antecedents of m-commerce acceptance (2016)Diffusion of Innovations 1 (2019)Developing a general extended UTAUT model for M-payment adoption (2020)Understanding the attitude and intention to use smartphone chatbots for shopping (2020)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)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)The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2020)Catastrophe: An Investigation into the Origins of the Modern World (1999)Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services (2010)Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services (2017)How does internet development affect energy-saving and emission reduction? Evidence from China (2021)Past, present, and future of customer engagement (2021)The digital divide: A review and future research agenda (2021)An Extended Privacy Calculus Model for E-Commerce Transactions (2006)Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research (2006)Information Privacy Research: an Interdisciplinary Review1 (2011)‘Okay google, what about my privacy?’: User's privacy perceptions and acceptance of voice based digital assistants (2021)Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior (2021)Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework (2024)
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References

  • 1985From Intentions to Actions: A Theory of Planned Behavior19,049 cited
  • 2004Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model3,170 cited
  • 1988Communication and Control Processes in the Delivery of Service Quality2,030 cited
  • 2016Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology1,371 cited
  • 2020Impact of digital surge during Covid-19 pandemic: A viewpoint on research and practice1,110 cited
  • 2015Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust920 cited
  • 2020Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal826 cited
  • 2011Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia584 cited
  • 2014Antecedents of the adoption of the new mobile payment systems: The moderating effect of age504 cited
  • 2015Understanding perceived risks in mobile payment acceptance390 cited
  • 2018How perceived value drives the use of mobile financial services apps325 cited
  • 2019Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach307 cited
  • 2020How pre-adoption expectancies shape post-adoption continuance intentions: An extended expectation-confirmation model

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305 cited
  • 2021I Am too old for this! Barriers contributing to the non-adoption of mobile payment177 cited
  • 2021Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach168 cited
  • 2018Mobile payments in India: the privacy factor137 cited
  • Cited by

    • 2025Digital by Default? A Critical Review of Age-Driven Inequalities in Payment Innovation11 cited