Extending a TAM–TTF model with perceptions toward telematics adoption

Abstract

Purpose

The purpose of this paper is to examine a framework integrating the technology acceptance model (TAM), individuals’ task–technology fit (TTF) and perceptions toward adopting automobile telematics devices.

Design/methodology/approach

This study integrated the TAM with TTF to understand individual perceptions of a technology’s value. In addition, the intrinsic motivational factors toward technology usage, including positive perceptions (perceived enjoyment, personal innovation and perceived uniqueness) and negative perceptions (perceived risk and performance gap), were considered in the model. Furthermore, the moderating effect of driving experience was examined.

Findings

The perceived usefulness (PU) of telematics as well as perceived ease of use (PEOU) affected drivers’ adoption intentions. PEOU had a greater effect on adoption intentions than PU, and technology characteristics had a greater effect on TTF than task characteristics. Moreover, individuals’ perceptions of perceived enjoyment and uniqueness affected PU and PEOU. The negative perceptions of perceived risk and performance gap affected PU and PEOU, respectively. Furthermore, driving experience significantly weakened the relationship between PU and intentions.

Originality/value

Telematics is a niche market due to the development of the Internet of Things, but users’ adoption intentions remain unknown. This study constructed a more comprehensive model and tested the impacts of certain variables on telematics adoption, with driving experience as a crucial moderator.

Citation

Chen, N.-H. (2019), "Extending a TAM–TTF model with perceptions toward telematics adoption", Asia Pacific Journal of Marketing and Logistics, Vol. 31 No. 1, pp. 37-54. https://doi.org/10.1108/APJML-02-2018-0074