Title: Evaluation of smart activity tracking wristbands' adoption criteria for university students

Authors: Amir Shaygan; Dilek Özdemir-Güngör; Hakan Kutgun; Anthony Williams; Ali Daneshi; Tugrul U. Daim

Addresses: Engineering and Technology Management Department, Portland State University, 1900 SW 4th Ave., Fourth Avenue Building, Floor LL, Suite 50, Portland, OR 97201, USA ' Health Management Department, İzmir Kâtip Çelebi University, İzmir, Turkey ' Engineering and Technology Management Department, Portland State University, 1900 SW 4th Ave., Fourth Avenue Building, Floor LL, Suite 50, Portland, OR 97201, USA ' Engineering and Technology Management Department, Portland State University, 1900 SW 4th Ave., Fourth Avenue Building, Floor LL, Suite 50, Portland, OR 97201, USA ' Engineering and Technology Management Department, Portland State University, 1900 SW 4th Ave., Fourth Avenue Building, Floor LL, Suite 50, Portland, OR 97201, USA ' Engineering and Technology Management Department, Portland State University, 1900 SW 4th Ave., Fourth Avenue Building, Floor LL, Suite 50, Portland, OR 97201, USA

Abstract: Information and communication technologies (ICTs) are changing life as we know it. There is a constant endeavour by companies to innovate in various technologies and activity tracking wristbands are no exception. These smart devices are mainly designed to monitor physical activities, sleep trends, and health information on a continuous manner. However, the functions of these devices are limited to neither fitness nor health tracking. Due to the multi-criteria nature of the adoption of these devices, it is critical to assimilate how people view and assess each criterion which has been lacking in the existing literature. This paper evaluates the importance levels of these criteria and their sub-criteria for university students using hierarchical decision model (HDM). Moreover, with the goal of understanding the practicality of the study, nine fitness tracking wristband products are evaluated based on the perspectives and criteria weights obtained from the model and desirability curves and scores.

Keywords: hierarchical decision model; HDM; activity tracking wristbands; technology adoption; smart wearable technology.

DOI: 10.1504/IJTIS.2020.107456

International Journal of Transitions and Innovation Systems, 2020 Vol.6 No.3, pp.219 - 244

Received: 19 Oct 2017
Accepted: 09 Jun 2018
Published online: 29 May 2020 *

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