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Factors determining the adoption of mobile banking in Ethiopian Islamic banks: extension of technology acceptance model (TAM)
16 references·0 citing·37 second hopsampled
Factors determining the adoption of mobile banking in Ethiopian Islamic banks: extension of technology acceptance model (TAM) (2024)Factors determining the adoption of mobil…Understanding FinTech Platform Adoption: Impacts of Perceived Value and Perceived Risk (2021)Understanding FinTech Platfor…Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model (2019)Adoption Intention of Fintech…What makes users willing or hesitant to use Fintech?: the moderating effect of user type (2018)What makes users willing or h…Data security and consumer trust in FinTech innovation in Germany (2018)Data security and consumer tr…Acceptance and use of mobile banking: an application of UTAUT2 (2018)Acceptance and use of mobile …Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk (2017)Examining factors influencing…Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust (2016)Understanding consumer intent…Consumer adoption of mobile banking in Jordan (2016)Consumer adoption of mobile b…Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM (2014)Extending the understanding o…Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India (2014)Adoption readiness, personal …Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior (2012)Factors affecting the adoptio…Determinants of behavioral intention to mobile banking (2009)Determinants of behavioral in…Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit (2008)Factors influencing the adopt…Predicting consumer intention to use mobile service (2006)Predicting consumer intention…Are Individual Differences Germane to the Acceptance of New Information Technologies? (1999)Are Individual Differences Ge…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…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)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card (2016)Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2018)Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation (2018)User Acceptance of Information Technology: Toward A Unified View1 (2003)Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits (2011)Tourists’ intention to visit a destination: The role of augmented reality (AR) application for a heritage site (2015)Diffusion of Innovations 1 (2019)The Effect of Electronic Word of Mouth Communications on Intention to Buy: A Meta-Analysis (2019)Customer Behavior as an Outcome of Social Media Marketing: The Role of Social Media Marketing Activity and Customer Experience (2020)When predictors of outcomes are necessary: guidelines for the combined use of PLS-SEM and NCA (2020)Understanding Information Technology Usage: A Test of Competing Models (1995)Challenges and Trends of Financial Technology (Fintech): A Systematic Literature Review (2020)Customer Experience in Fintech (2021)User Innovativeness and Fintech Adoption in Indonesia (2021)Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage1 (2000)Why do people use information technology? A critical review of the technology acceptance model (2002)A meta-analysis of the technology acceptance model (2006)Assessing e‐commerce systems success: a respecification and validation of the DeLone and McLean model of IS success (2008)Predicting young consumers' take up of mobile banking services (2010)Mobile-banking adoption by Iranian bank clients (2012)Why people use social networking sites: An empirical study integrating network externalities and motivation theory (2011)Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application (2013)Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust (2017)Social media marketing: Comparative effect of advertisement sources (2017)Investigating the impact of social media advertising features on customer purchase intention (2018)Measuring social media influencer index- insights from facebook, Twitter and Instagram (2019)
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References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 1999Are Individual Differences Germane to the Acceptance of New Information Technologies?2,105 cited
  • 2008Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit2,037 cited
  • 2014Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM807 cited
  • 2009Determinants of behavioral intention to mobile banking772 cited
  • 2006Predicting consumer intention to use mobile service641 cited
  • 2014Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India606 cited
  • 2016Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust595 cited
  • 2017Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk576 cited
  • 2019Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model576 cited
  • 2016Consumer adoption of mobile banking in Jordan508 cited
  • 2018What makes users willing or hesitant to use Fintech?: the moderating effect of user type429 cited
  • 2012Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior

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379 cited
  • 2018Acceptance and use of mobile banking: an application of UTAUT2374 cited
  • 2018Data security and consumer trust in FinTech innovation in Germany351 cited
  • 2021Understanding FinTech Platform Adoption: Impacts of Perceived Value and Perceived Risk273 cited
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