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Attribute perceptions as factors explaining Mobile Internet acceptance of cellular customers in Germany – An empirical study comparing actual and potential adopters with distinct categories of access appliances
16 references·7 citing·31 second hop
Attribute perceptions as factors explaining Mobile Internet acceptance of cellular customers in Germany – An empirical study comparing actual and potential adopters with distinct categories of access appliances (2010)Attribute perceptions as factors explaini…Diffusion of Innovations 1 (2019)Diffusion of Innovations 1The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services (2009)The relationships among servi…The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs (2007)The Predictive Validity of Mu…Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet (2006)Understanding continued infor…Value-based Adoption of Mobile Internet: An empirical investigation (2005)Value-based Adoption of Mobil…What drives mobile commerce? (2004)What drives mobile commerce?Technology acceptance model for wireless Internet (2003)Technology acceptance model f…Explaining consumer acceptance of handheld Internet devices (2003)Explaining consumer acceptanc…Diffusion of innovations (2003)Diffusion of innovationsInformation Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs1 (1999)Information Technology Adopti…The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies (1997)The Role of Innovation Charac…User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)User Acceptance of Computer T…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings (1982)Innovation characteristics an…Free Competition and the Optimal Amount of Fraud (1973)Free Competition and the Opti…Information and Consumer Behavior (1970)Information and Consumer Beha…Predictors of Islamic bank adoption: Nigerian perspective (2020)Predictors of Islamic bank ad…The adoption of mobile app for B2C transaction in platform marketplace: An empirical examination of key drivers (2018)The adoption of mobile app fo…Investigating Determinants and Interaction Quality Effects on Tourists' Intention to Use Mobile Tourism Guide (2014)Investigating Determinants an…Conceptualising the role of innovation: Attributes for examining consumer adoption of mobile innovations (2014)Conceptualising the role of i…Adopting An Extended UTAUT2 To Predict Consumer Adoption Of M-Technologies In Saudi Arabia. (2014)Adopting An Extended UTAUT2 T…Role of Innovation Attributes in Explaining the Adoption Intention for the Interbank Mobile Payment Service in an Indian Context (2013)Role of Innovation Attributes…Personal characteristics and mobile Internet use intensity of consumers with computer-centric communication devices: An exploratory empirical study of iPad and laptop users in Germany (2012)Personal characteristics and …Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Understanding Attitudes and Predicting Social Behavior (1980)Understanding Information Systems Continuance: An Expectation-Confirmation Model1 (2001)The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003)User Acceptance of Information Technology: Toward A Unified View1 (2003)Self-efficacy mechanism in human agency. 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References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2019Diffusion of Innovations 137,320 cited
  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
  • 2003Diffusion of innovations6,722 cited
  • 1970Information and Consumer Behavior5,796 cited
  • 1973Free Competition and the Optimal Amount of Fraud3,943 cited
  • 1999Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs13,697 cited
  • 1982Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings3,284 cited
  • 2007The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs3,094 cited
  • 2004What drives mobile commerce?2,282 cited
  • 2005Value-based Adoption of Mobile Internet: An empirical investigation2,084 cited
  • 1997The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies1,669 cited
  • 2009The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services1,422 cited
  • 2003Explaining consumer acceptance of handheld Internet devices1,028 cited

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  • 2003Technology acceptance model for wireless Internet994 cited
  • 2006Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet955 cited
  • Cited by

    • 2013Role of Innovation Attributes in Explaining the Adoption Intention for the Interbank Mobile Payment Service in an Indian Context38 cited
    • 2012Personal characteristics and mobile Internet use intensity of consumers with computer-centric communication devices: An exploratory empirical study of iPad and laptop users in Germany36 cited
    • 2014Adopting An Extended UTAUT2 To Predict Consumer Adoption Of M-Technologies In Saudi Arabia.26 cited
    • 2020Predictors of Islamic bank adoption: Nigerian perspective20 cited
    • 2014Conceptualising the role of innovation: Attributes for examining consumer adoption of mobile innovations10 cited
    • 2014Investigating Determinants and Interaction Quality Effects on Tourists' Intention to Use Mobile Tourism Guide8 cited
    • 2018The adoption of mobile app for B2C transaction in platform marketplace: An empirical examination of key drivers8 cited