Utilizing Technology Acceptance Model (TAM) for driverless car technology

• Sahil Koul ^[1] ; Ali Eydgahi ^[1]
  1. [1] Eastern Michigan University

     Eastern Michigan University

     City of Ypsilanti, Estados Unidos

     
• Localización: Journal of Technology Management & Innovation, ISSN-e 0718-2724, Vol. 13, Nº. 4, 2018, págs. 37-46
• Idioma: inglés
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• Resumen

  • This paper examines the relationship between perceived usefulness of driverless car technology, perceived ease of use of driverless car technology, years of driving experience, age and the intention to use driverless cars. This research is a cross-sectional descriptive correlational study with the Technology Acceptance Model as its theoretical framework. The primary method of data collection was an online survey. Pearson’s correlation and multiple linear regression were used for data analysis. This study found significant, positive relationships between perceived usefulness of driverless car technology, perceived ease of use of driverless car technology and intention to use driverless cars. Also, there were significant, negative relationships between years of driving experience, age and intention to use driverless cars.