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Acceptance and Intention to Use the iLearn System in an Automotive Semiconductor Company in the Northern Region of Malaysia
12 references·2 citing·25 second hop
Acceptance and Intention to Use the iLearn System in an Automotive Semiconductor Company in the Northern Region of Malaysia (2014)Acceptance and Intention to Use the iLear…Diffusion of Innovations 1 (2019)Diffusion of Innovations 1E-learning acceptance in workplace training: The case of a Greek bank. (2009)E-learning acceptance in work…What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction (2007)What drives a successful e-Le…The influence of system characteristics on e-learning use (2004)The influence of system chara…Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies (2003)Factors affecting engineers’ …Technological and Structural Characteristics, Student Learning and Satisfaction with Web-Based Courses (2002)Technological and Structural …A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A Theoretical Extension of th…Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs1 (1999)Information Technology Adopti…Assessing IT Usage: The Role of Prior Experience (1995)Assessing IT Usage: The Role …Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Development of an Instrument …User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)User Acceptance of Computer T…Understanding Attitudes and Predicting Social Behavior (1980)Understanding Attitudes and P…GASTRONOMİ VE MUTFAK SANATLARI ÖĞRENCİLERİNİN AKILLI RESTORAN UYGULAMALARINI KULLANMA NİYETLERİNİN ÖLÇÜLMESİNE YÖNELİK BİR ARAŞTIRMA (A RESEARCH TO MEASURE GASTRONOMY AND CULINARY ARTS STUDENTS INTENTION TO USE SMART RESTAURANT APPLICATIONS) (2021)GASTRONOMİ VE MUTFAK SANATLAR…Predicting Behavioural Intention of Manufacturing Engineers in Malaysia to Use E-Learning in the Workplace (2020)Predicting Behavioural Intent…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)Understanding Information Technology Usage: A Test of Competing Models (1995)Trust and TAM in Online Shopping: An Integrated Model1 (2003)User Acceptance of Information Technology: Toward A Unified View1 (2003)Self-efficacy mechanism in human agency. (1982)A Coefficient of Agreement for Nominal Scales (1960)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)A study of student satisfaction in a blended e-learning system environment (2010)Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors (2015)A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)The Effectiveness of Blended Learning in Health Professions: Systematic Review and Meta-Analysis (2016)Pembelajaran Daring di Tengah Wabah Covid-19 (2020)Pembelajaran Online di Tengah Pandemi Covid-19 (2020)From Intentions to Actions: A Theory of Planned Behavior (1985)Understanding Information Systems Continuance: An Expectation-Confirmation Model1 (2001)The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003)The Strength of Weak Ties (1973)Diffusion of innovations. (2003)Instructional video in e-learning: Assessing the impact of interactive video on learning effectiveness (2005)Predicting consumer intention to use mobile service (2006)Learners’ acceptance of e-learning in South Korea: Theories and results (2009)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)
this work references cited by second hop

References

  • 2019Diffusion of Innovations 137,320 cited
  • 1980Understanding Attitudes and Predicting Social Behavior25,805 cited
  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
  • 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies22,991 cited
  • 1991Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation9,145 cited
  • 1999Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs13,697 cited
  • 1995Assessing IT Usage: The Role of Prior Experience2,887 cited
  • 2007What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction2,726 cited
  • 2004The influence of system characteristics on e-learning use915 cited
  • 2003Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies650 cited
  • 2002Technological and Structural Characteristics, Student Learning and Satisfaction with Web-Based Courses387 cited
  • 2009E-learning acceptance in workplace training: The case of a Greek bank.16 cited

Cited by

  • 2021GASTRONOMİ VE MUTFAK SANATLARI ÖĞRENCİLERİNİN AKILLI RESTORAN UYGULAMALARINI KULLANMA NİYETLERİNİN ÖLÇÜLMESİNE YÖNELİK BİR ARAŞTIRMA (A RESEARCH TO MEASURE GASTRONOMY AND CULINARY ARTS STUDENTS INTENTION TO USE SMART RESTAURANT APPLICATIONS)

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6 cited
  • 2020Predicting Behavioural Intention of Manufacturing Engineers in Malaysia to Use E-Learning in the Workplace6 cited