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Mobile services adoption in a hospitality consumer context

Mobile services adoption in a hospitality consumer context PurposeThis study aims to present a model drawn on both the extension of the unified theory of acceptance and use of technology (UTAUT2) and the perceived value for explaining consumer behavior toward mobile hospitality services (MHS) from two perspectives: intention to use and recommendation.Design/methodology/approachThe partial least square (PLS) was applied to data gathered from 348 validated responses to a survey to test a number of research hypotheses.FindingsResults found that the proposed conceptual model explains 62 per cent of the intention to use of MHS and 51 per cent of the variation in the recommendation. Perceived value plays a role in explaining both the intention to use and recommend MHS, with both constructs also helping in explaining behavior intention, to which effort expectancy, facilitating conditions and performance expectancy also contribute.Originality/valueThis research goes beyond perceived value by combining it with a cornerstone model, UTAUT2, used in technology adoption studies. The paper addresses updated MHS that include but are not limited to mobile hotel reservations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Culture Tourism and Hospitality Research Emerald Publishing

Mobile services adoption in a hospitality consumer context

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References (56)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1750-6182
DOI
10.1108/IJCTHR-04-2017-0041
Publisher site
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Abstract

PurposeThis study aims to present a model drawn on both the extension of the unified theory of acceptance and use of technology (UTAUT2) and the perceived value for explaining consumer behavior toward mobile hospitality services (MHS) from two perspectives: intention to use and recommendation.Design/methodology/approachThe partial least square (PLS) was applied to data gathered from 348 validated responses to a survey to test a number of research hypotheses.FindingsResults found that the proposed conceptual model explains 62 per cent of the intention to use of MHS and 51 per cent of the variation in the recommendation. Perceived value plays a role in explaining both the intention to use and recommend MHS, with both constructs also helping in explaining behavior intention, to which effort expectancy, facilitating conditions and performance expectancy also contribute.Originality/valueThis research goes beyond perceived value by combining it with a cornerstone model, UTAUT2, used in technology adoption studies. The paper addresses updated MHS that include but are not limited to mobile hotel reservations.

Journal

International Journal of Culture Tourism and Hospitality Research – Emerald Publishing

Published: Mar 5, 2018

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