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Characteristics and mobile Internet use intensity of consumers with different types of advanced handsets: An exploratory empirical study of iPhone, Android and other web-enabled mobile users in Germany
16 references·15 citing·47 second hop
Characteristics and mobile Internet use intensity of consumers with different types of advanced handsets: An exploratory empirical study of iPhone, Android and other web-enabled mobile users in Germany (2012)Characteristics and mobile Internet use i…The diffusion of mobile data services and applications: Exploring the role of habit and its antecedents (2011)The diffusion of mobile data …Post-adoption modeling of advanced mobile service use (2011)Post-adoption modeling of adv…Beyond the technology adoption: Technology readiness effects on post-adoption behavior (2011)Beyond the technology adoptio…The difference of determinants of acceptance and continuance of mobile data services: A value perspective (2010)The difference of determinant…Social behavior and brand devotion among iPhone innovators (2010)Social behavior and brand dev…Browsing as the killer app: Explaining the rapid success of Apple's iPhone (2010)Browsing as the killer app: E…Estimating the Effect of Common Method VARIANCE: The Method–Method Pair Technique with an Illustration from TAM Research1 (2009)Estimating the Effect of Comm…Does the technology acceptance model predict actual use? A systematic literature review (2009)Does the technology acceptanc…Does gender affect media choice in travel information search? On the use of mobile Internet (2009)Does gender affect media choi…Analysis of users and non-users of smartphone applications (2009)Analysis of users and non-use…Investigating mobile wireless technology adoption: An extension of the technology acceptance model (2008)Investigating mobile wireless…A Model of Consumer Learning for Service Quality and Usage (2007)A Model of Consumer Learning …Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services (2006)Understanding the Adoption of…Predicting System Usage from Intention and Past Use: Scale Issues in the Predictors (2005)Predicting System Usage from …Why do people use information technology? A critical review of the technology acceptance model (2002)Why do people use information…Empirical Evaluation of the Revised Technology Acceptance Model (1996)Empirical Evaluation of the R…Sound of silence: Does Muting Notifications Reduce Phone Use? (2022)Sound of silence: Does Muting…Examining the influence of customer-brand relationship constructs and bandwagon effect on brand loyalty (2022)Examining the influence of cu…Agricultural E-commerce: Attitude segmentation of farmers (2022)Agricultural E-commerce: Atti…Consumer personality factors and iPhone consumption in China (2020)Consumer personality factors …A Comparative Study of Trust in Mobile Banking (2020)A Comparative Study of Trust …The Impact of Mobile Payment Channel on Consumer Consumption: Evidence from Alipay (2018)The Impact of Mobile Payment …Determinants of Mobile Banking Adoption (2018)Determinants of Mobile Bankin…Who signs up for NFC mobile payment services? Mobile network operator subscribers in Germany (2017)Who signs up for NFC mobile p…The Ten Shades of Silver: Segmentation of Older Adults in the Mobile Phone Market (2017)The Ten Shades of Silver: Seg…Green attributes converged within multifunctional technology products (2016)Green attributes converged wi…Choosing a wrong mobile communication price plan: An empirical analysis of predictors of the degree of tariff misfit among flat rate subscribers in Germany (2016)Choosing a wrong mobile commu…Predicting behavioral intention of mobile Internet usage (2015)Predicting behavioral intenti…Determinants of Postadoption Behaviors of Mobile Communications Applications: A Dual-Model Perspective (2014)Determinants of Postadoption …An empirical analysis of mobile Internet acceptance in Chile (2014)An empirical analysis of mobi…An attitude-based latent class segmentation analysis of mobile phone users (2013)An attitude-based latent clas…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)Modeling users’ acceptance of mobile services (2012)Reliability Generalization of Perceived Ease of Use, Perceived Usefulness, and Behavioral Intentions1 (2014)Technology anxiety and resistance to change behavioral study of a wearable cardiac warming system using an extended TAM for older adults (2020)The theory of planned behavior (1991)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Mining large-scale smartphone data for personality studies (2011)Determinants of continuance intention to use the smartphone banking services (2016)Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology (2018)Diffusion of Innovations (1963)The role of the business model in capturing value from innovation: evidence from Xerox Corporation's technology spin-off companies (2002)Evaluation of learning outcomes using an educational iPhone game vs. traditional game (2013)Innovation and competition in the smartphone industry: Is there a dominant design? (2014)Diffusion of Innovations 1 (2019)The Digital Entrepreneurial Ecosystem—a critique and reconfiguration (2019)On the Evaluation of Structural Equation Models (1988)A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology (1998)Technology Readiness Index (Tri) (2000)A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption (2019)In Automatic We Trust: Investigating the Impact of Trust, Control, Personality Characteristics, and Extrinsic and Intrinsic Motivations on the Acceptance of Autonomous Vehicles (2019)How globalization is changing digital technology adoption: An international perspective (2021)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Sources of Method Bias in Social Science Research and Recommendations on How to Control It (2011)Evaluating Six Common Stereotypes About Older Workers with Meta‐Analytical Data (2012)Common methods variance detection in business research (2015)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Factors influencing acceptance of technology for aging in place: A systematic review (2014)A Systematic Review of the Technology Acceptance Model in Health Informatics (2018)What factors contribute to the acceptance of artificial intelligence? A systematic review (2022)Understanding Attitudes and Predicting Social Behavior (1980)Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication (1992)Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (2000)Trust and TAM in Online Shopping: An Integrated Model1 (2003)Heterogeneity and State Dependence (1981)Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets (1996)Valuing Customers (2004)Customer value from a customer perspective: a comprehensive review (2008)Modeling Consumer Learning from Online Product Reviews (2012)Social Contagion in New Product Trial and Repeat (2015)The Technology Acceptance Model: Past, Present, and Future (2003)A meta-analysis of the technology acceptance model (2006)The Technology Acceptance Model: Its past and its future in health care (2009)Computing in Everyday Life: A Call for Research on Experiential Computing1 (2010)A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention (2013)Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model (2021)
this work references cited by second hop

References

  • 2002Why do people use information technology? A critical review of the technology acceptance model4,200 cited
  • 1996Empirical Evaluation of the Revised Technology Acceptance Model1,656 cited
  • 2009Does the technology acceptance model predict actual use? A systematic literature review837 cited
  • 2006Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services665 cited
  • 2009Estimating the Effect of Common Method VARIANCE: The Method–Method Pair Technique with an Illustration from TAM Research1496 cited
  • 2009Analysis of users and non-users of smartphone applications467 cited
  • 2008Investigating mobile wireless technology adoption: An extension of the technology acceptance model319 cited
  • 2010Browsing as the killer app: Explaining the rapid success of Apple's iPhone298 cited
  • 2011Beyond the technology adoption: Technology readiness effects on post-adoption behavior203 cited
  • 2007A Model of Consumer Learning for Service Quality and Usage173 cited
  • 2009Does gender affect media choice in travel information search? On the use of mobile Internet158 cited
  • 2011Post-adoption modeling of advanced mobile service use153 cited
  • 2011The diffusion of mobile data services and applications: Exploring the role of habit and its antecedents132 cited
  • 2010Social behavior and brand devotion among iPhone innovators

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105 cited
  • 2010The difference of determinants of acceptance and continuance of mobile data services: A value perspective101 cited
  • 2005Predicting System Usage from Intention and Past Use: Scale Issues in the Predictors86 cited
  • Cited by

    • 2014Determinants of Postadoption Behaviors of Mobile Communications Applications: A Dual-Model Perspective45 cited
    • 2017Who signs up for NFC mobile payment services? Mobile network operator subscribers in Germany38 cited
    • 2022Sound of silence: Does Muting Notifications Reduce Phone Use?35 cited
    • 2013An attitude-based latent class segmentation analysis of mobile phone users35 cited
    • 2022Agricultural E-commerce: Attitude segmentation of farmers34 cited
    • 2015Predicting behavioral intention of mobile Internet usage32 cited
    • 2017The Ten Shades of Silver: Segmentation of Older Adults in the Mobile Phone Market29 cited
    • 2020A Comparative Study of Trust in Mobile Banking22 cited
    • 2014An empirical analysis of mobile Internet acceptance in Chile20 cited
    • 2018Determinants of Mobile Banking Adoption19 cited
    • 2016Green attributes converged within multifunctional technology products18 cited
    • 2022Examining the influence of customer-brand relationship constructs and bandwagon effect on brand loyalty17 cited
    • 2020Consumer personality factors and iPhone consumption in China15 cited
    • 2016Choosing a wrong mobile communication price plan: An empirical analysis of predictors of the degree of tariff misfit among flat rate subscribers in Germany14 cited
    • 2018The Impact of Mobile Payment Channel on Consumer Consumption: Evidence from Alipay12 cited