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Empirical research on mobile Internet usage: A meta-analysis of the literature
16 references·11 citing·34 second hop
Empirical research on mobile Internet usage: A meta-analysis of the literature (2013)Empirical research on mobile Internet usa…Diffusion of Innovations 1 (2019)Diffusion of Innovations 1Methods of Meta-Analysis: Correcting Error and Bias in Research Findings (2015)Methods of Meta-Analysis: Cor…Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Consumer Acceptance and Use o…Habits make smartphone use more pervasive (2011)Habits make smartphone use mo…Does the technology acceptance model predict actual use? A systematic literature review (2009)Does the technology acceptanc…The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs (2007)The Predictive Validity of Mu…Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services (2006)Understanding the Adoption of…Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet (2006)Understanding continued infor…On the Use of Beta Coefficients in Meta-Analysis. (2005)On the Use of Beta Coefficien…A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena (2005)A Longitudinal Model of Conti…What drives mobile commerce? (2004)What drives mobile commerce?User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Diffusion of innovations. (2003)Diffusion of innovations.Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Common method biases in behav…The theory of planned behavior (1991)The theory of planned behaviorUser Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)User Acceptance of Computer T…Getting the best of both worlds: a framework for combining disaggregate travel survey data and aggregate mobile phone data for trip generation modelling (2020)Getting the best of both worl…The Knowledge Mapping of Mobile Commerce Research: A Visual Analysis Based on I-Model (2019)The Knowledge Mapping of Mobi…Modelling long-distance route choice using mobile phone call detail record data: a case study of Senegal (2019)Modelling long-distance route…The role of perceived values in explaining Vietnamese consumers’ attitude and intention to adopt mobile commerce (2018)The role of perceived values …Lead users of business mobile services (2018)Lead users of business mobile…Factors affecting mobile shopping: a Vietnamese perspective (2018)Factors affecting mobile shop…Differential Effects of Customers’ Regulatory Fit on Trust, Perceived Value, and M-Commerce Use among Developing and Developed Countries (2018)Differential Effects of Custo…Red Color and Risk-Taking Behavior in Online Environments (2015)Red Color and Risk-Taking Beh…Predicting behavioral intention of mobile Internet usage (2015)Predicting behavioral intenti…Mobile use of the Internet using smartphones or tablets by Swiss people over 65 years (2015)Mobile use of the Internet us…Mobile technology and forgotten consumers: the young‐elderly (2015)Mobile technology and forgott…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Understanding Attitudes and Predicting Social Behavior (1980)Self-efficacy mechanism in human agency. (1982)A Paradigm for Developing Better Measures of Marketing Constructs (1979)Structural equation modeling in practice: A review and recommended two-step approach. (1988)What is coefficient alpha? An examination of theory and applications. (1993)Formative versus reflective measurement models: Two applications of formative measurement (2008)Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective (2012)Coronavirus Anxiety Scale: A brief mental health screener for COVID-19 related anxiety (2020)Coefficient Alpha and the Internal Structure of Tests (1951)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Older Adults' Reasons for Using Technology while Aging in Place (2015)Self-Reports in Organizational Research: Problems and Prospects (1986)Structural Equations with Latent Variables. (1991)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Sources of Method Bias in Social Science Research and Recommendations on How to Control It (2011)Common Method Bias in PLS-SEM (2015)On the Evaluation of Structural Equation Models (1988)Understanding information technology acceptance by individual professionals: Toward an integrative view (2005)A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects (2006)Integrating TTF and UTAUT to explain mobile banking user adoption (2010)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior1 (2000)Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016)Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017)THE BIG FIVE PERSONALITY DIMENSIONS AND JOB PERFORMANCE: A META‐ANALYSIS (1991)A basic introduction to fixed-effect and random-effects models for meta-analysis (2010)Conducting Meta-Analyses in R with the metafor Package (2010)The Strength of Weak Ties (1973)Is innovation always beneficial? A meta-analysis of the relationship between innovation and performance in SMEs (2010)Diffusion of Innovations (2015)Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology (2016)
this work references cited by second hop

References

  • 1991The theory of planned behavior90,729 cited
  • 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.81,863 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2019Diffusion of Innovations 137,320 cited
  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
  • 2003Diffusion of innovations.13,723 cited
  • 2015Methods of Meta-Analysis: Correcting Error and Bias in Research Findings5,540 cited
  • 2007The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs3,094 cited
  • 2004What drives mobile commerce?2,282 cited
  • 2005On the Use of Beta Coefficients in Meta-Analysis.1,641 cited
  • 2011Habits make smartphone use more pervasive1,190 cited
  • 2005A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena984 cited
  • 2006Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet955 cited

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2009
Does the technology acceptance model predict actual use? A systematic literature review
837 cited
  • 2006Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services665 cited
  • Cited by

    • 2015Mobile technology and forgotten consumers: the young‐elderly83 cited
    • 2018Differential Effects of Customers’ Regulatory Fit on Trust, Perceived Value, and M-Commerce Use among Developing and Developed Countries78 cited
    • 2018The role of perceived values in explaining Vietnamese consumers’ attitude and intention to adopt mobile commerce70 cited
    • 2020Getting the best of both worlds: a framework for combining disaggregate travel survey data and aggregate mobile phone data for trip generation modelling44 cited
    • 2015Red Color and Risk-Taking Behavior in Online Environments43 cited
    • 2015Mobile use of the Internet using smartphones or tablets by Swiss people over 65 years36 cited
    • 2019The Knowledge Mapping of Mobile Commerce Research: A Visual Analysis Based on I-Model35 cited
    • 2018Factors affecting mobile shopping: a Vietnamese perspective33 cited
    • 2015Predicting behavioral intention of mobile Internet usage32 cited
    • 2019Modelling long-distance route choice using mobile phone call detail record data: a case study of Senegal24 cited
    • 2018Lead users of business mobile services18 cited