The Influence of Task-technology Fit on Purchase Intention of Autonomous Driving Cars

Authors

  • Ruiqi Li

DOI:

https://doi.org/10.54691/n5089c72

Keywords:

Autonomous driving; Task-technology fit; Ttechnology acceptance model.

Abstract

Few studies currently investigate the factors influencing consumers' willingness to purchase autonomous vehicles. This study extends the conventional technology acceptance model by introducing the Task- Technology Fit Model (TTF) to investigate how the alignment of automated driving technology (autonomous vs. non-autonomous driving) and task requirements influences consumers' willingness to purchase autonomous vehicles within the primary application contexts of automated driving technology, especially in complex driving scenarios.

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References

[1] Davis F D. A technology acceptance model for empirically testing new end-user information systems: Theory and results[D]. Massachusetts Institute of Technology, 1985.

[2] Venkatesh V, Davis F, Morris M G. Dead or alive? The development, trajectory and future of technology adoption research[J]. The Development, Trajectory and Future of Technology Adoption Research (April 27, 2007). Venkatesh, V., Davis, FD, and Morris, MG “Dead or Alive, 2007: 267-286.

[3] DVenkatesh V, Davis F D. A theoretical extension of the technology acceptance model: Four longitudinal field studies[J]. Management science, 2000, 46(2): 186-204.

[4] Venkatesh V, Bala H. Technology acceptance model 3 and a research agenda on interventions[J]. Decision sciences, 2008, 39(2): 273-315.

[5] Tam C, Oliveira T. Performance impact of mobile banking: using the task-technology fit (TTF) approach[J]. International Journal of Bank Marketing, 2016, 34(4): 434-457.

[6] Goodhue D L, Thompson R L. Task-technology fit and individual performance[J]. MIS quarterly, 1995: 213-236.

[7] Chen, N. H. (2019). Extending a TAM–TTF model with perceptions toward telematics adoption. Asia Pacific Journal of Marketing and Logistics, 31(1), 37-54.

[8] Dishaw M T, Strong D M. Extending the technology acceptance model with task–technology fit constructs[J]. Information & management, 1999, 36(1): 9-21.

[9] Lv, F., Zhang, J., Wang, S., Luo, Y., Gao, H., & Zhang, J. (2022, November). Research on the Influencing Factors of Using Behavior Intention of Automated Car-Sharing System. In 2022 IEEE 7th International Conference on Intelligent Transportation Engineering (ICITE) (pp. 320-325). IEEE.

[10] Holthausen B E, Wintersberger P, Walker B N, et al. Situational trust scale for automated driving (STS-AD): Development and initial validation[C]//12th international conference on automotive user interfaces and interactive vehicular applications. 2020: 40-47.

[11] Davis F D. A technology acceptance model for empirically testing new end-user information systems: Theory and results[D]. Massachusetts Institute of Technology, 1985.

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Published

19-03-2025

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Articles