Title: Wearable device adoption model with TAM and TTF

Authors: Hyung Sik Chang; Seul Chan Lee; Yong Gu Ji

Addresses: Graduate Program in Technology Policy, Yonsei University, 262 Seongsanno, Seodaemun-gu, Seoul 120-749, Korea ' Department of Information and Industrial Engineering, Yonsei University, 262 Seongsanno, Seodaemun-gu, Seoul 120-749, Korea ' Department of Information and Industrial Engineering, Yonsei University, 262 Seongsanno, Seodaemun-gu, Seoul 120-749, Korea

Abstract: Wearable devices have received great highlights as next core products for global information technology companies. Since the wearable-device market is in its early phase, major factors influencing the adoption behaviour have not been completely identified. The goal of this study, therefore, is to investigate the important factors affecting usage behaviour of wearable devices. To achieve this, we applied an integrated model based on the technology acceptance model and the task-technology fit model. Along with task and technology characteristics, factors of wearable device, social influence and user characteristic were also considered. The survey was conducted with 342 participants, and the results were analysed by the partial least squares method using a two-phase procedure. The research model explained 50.3% of the behavioural intention variance and the 13 out of 15 hypotheses were statistically supported. We identified the explanatory power of the proposed model. Interestingly, users did not expect wearable devices to provide communication functions or become fashion items.

Keywords: adoption behaviour; task-technology fit; TTF model; technology acceptance model; TAM; wearable devices; usage behaviour; social influence; user characteristics; partial least squares; PLS; behavioural intention.

DOI: 10.1504/IJMC.2016.078726

International Journal of Mobile Communications, 2016 Vol.14 No.5, pp.518 - 537

Received: 27 Apr 2015
Accepted: 16 Mar 2016

Published online: 03 Aug 2016 *

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