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Identifying determinant factors influencing user’s behavioral intention to use Traveloka Paylater
16 references·1 citing·41 second hop
Identifying determinant factors influencing user’s behavioral intention to use Traveloka Paylater (2023)Identifying determinant factors influenci…A Comparative Study of Users versus Non-Users’ Behavioral Intention towards M-Banking Apps’ Adoption (2022)A Comparative Study of Users …Factors affecting the behavioral intention to adopt mobile banking: An international comparison (2020)Factors affecting the behavio…When to use and how to report the results of PLS-SEM (2018)When to use and how to report…Using the UTAUT2 Model to Determine Factors Affecting Adoption of Mobile Banking Services: A Qualitative Approach (2018)Using the UTAUT2 Model to Det…Predicting the intention to use mobile banking in India (2018)Predicting the intention to u…Impact of payment technology innovations on the traditional financial industry: A focus on China (2018)Impact of payment technology …Predicting the acceptance and use of information and communication technology by older adults: An empirical examination of the revised UTAUT2 (2017)Predicting the acceptance and…Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust (2017)Factors influencing adoption …Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios (2016)Investigating the influence o…Impact of Perceived Security on Trust, Perceived Risk, and Acceptance of Online Banking in Iran (2016)Impact of Perceived Security …Braving Bitcoin: A technology acceptance model (TAM) analysis (2016)Braving Bitcoin: A technology…The Effects of Computer Self-Efficacy and Technology Acceptance Model on Behavioral Intention in Internet Banking Systems (2012)The Effects of Computer Self-…Do Payment Mechanisms Change the Way Consumers Perceive Products? 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References

  • 1977Self-efficacy: Toward a unifying theory of behavioral change.43,875 cited
  • 2018When to use and how to report the results of PLS-SEM27,424 cited
  • 2017Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust1,593 cited
  • 2016Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios692 cited
  • 2001Effects of Payment Mechanism on Spending Behavior: The Role of Rehearsal and Immediacy of Payments423 cited
  • 2017Predicting the acceptance and use of information and communication technology by older adults: An empirical examination of the revised UTAUT2402 cited
  • 2018Predicting the intention to use mobile banking in India345 cited
  • 2011Big TAM in Oman: Exploring the promise of on-line banking, its adoption by customers and the challenges of banking in Oman271 cited
  • 2020Factors affecting the behavioral intention to adopt mobile banking: An international comparison270 cited
  • 2016Braving Bitcoin: A technology acceptance model (TAM) analysis230 cited
  • 2012Do Payment Mechanisms Change the Way Consumers Perceive Products?178 cited
  • 2018Impact of payment technology innovations on the traditional financial industry: A focus on China176 cited
  • 2016Impact of Perceived Security on Trust, Perceived Risk, and Acceptance of Online Banking in Iran117 cited

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  • 2018Using the UTAUT2 Model to Determine Factors Affecting Adoption of Mobile Banking Services: A Qualitative Approach103 cited
  • 2012The Effects of Computer Self-Efficacy and Technology Acceptance Model on Behavioral Intention in Internet Banking Systems85 cited
  • 2022A Comparative Study of Users versus Non-Users’ Behavioral Intention towards M-Banking Apps’ Adoption75 cited
  • Cited by

    • 2024Determinants of Intention to Use Buy Now Pay Later (BNPL)8 cited