A4 Article in conference proceedings
Applying UTAUT2 to Explain the Use of Physical Activity Logger Applications Among Young Elderly (2020)


Makkonen, Markus; Kari, Tuomas; Frank, Lauri (2020). Applying UTAUT2 to Explain the Use of Physical Activity Logger Applications Among Young Elderly. In Pucihar, Andreja; Kljajic Borstnar, Mirjana; Bons, Roger; Cripps, Helen; Sheombar, Anand; Vidmar, Doroteja (Eds.) 33rd Bled eConference : Enabling technology for a sustainable society. Maribor: University of Maribor, 567-582. DOI: 10.18690/978-961-286-362-3.38 https://press.um.si/index.php/ump/catalog/view/483/586/918-3


JYU authors or editors


Publication details

All authors or editors: Makkonen, Markus; Kari, Tuomas; Frank, Lauri

Parent publication: 33rd Bled eConference : Enabling technology for a sustainable society

Parent publication editors: Pucihar, Andreja; Kljajic Borstnar, Mirjana; Bons, Roger; Cripps, Helen; Sheombar, Anand; Vidmar, Doroteja

Conference:

Bled eConference

Place and date of conference: Bled, Slovenia, 28.-29.6.2020

eISBN: 978-961-286-362-3

Publication year: 2020

Pages range: 567-582

Number of pages in the book: 734

Publisher: University of Maribor

Place of Publication: Maribor

Publication country: Slovenia

Publication language: English

DOI: http://doi.org/10.18690/978-961-286-362-3.38

Persistent website address: https://press.um.si/index.php/ump/catalog/view/483/586/918-3

Open Access: Publication published in an open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/71091


Abstract

Digital wellness technologies have been proposed as a promising way to promote the levels of physical activity and to solve the prevalent problem of physical inactivity among elderly people. In this study, we propose and test a research model for explaining the acceptance and use of these technologies in the case of the young elderly segment (people aged 60–75 years) and physical activity logger applications. The proposed model is theoretically founded on UTAUT2, and it is empirically tested by using the data collected from 115 Finnish young elderly users of a physical activity logger application and analysed with partial least squares based structural equation modelling (PLS-SEM). We find habit to act as the strongest antecedent of use intention, followed by performance expectancy and hedonic motivation with approximately equally strong effects. In contrast, the effects of effort expectancy and social influence on use intention were found as statistically not significant.


Keywords: welfare technology; physical activeness; senior citizens; physical training; measuring instruments (devices); measuring methods

Free keywords: physical activity; logger applications; young elderly; UTAUT2; digital wellness technologies; partial least squares


Contributing organizations


Ministry reporting: Yes


Last updated on 2020-07-07 at 08:46