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Tourists’ intention to use location-based services (LBS)

Tourists’ intention to use location-based services (LBS) This study aims to investigate the tourists’ intentions to use LBS within a tourism sector by integrating the elaboration likelihood model (ELM) into the framework of the theory of planned behavior (TPB).Design/methodology/approachThis study is conducted by an online survey and a snowball sampling method with 353 respondents. The present study used a two-step method suggested by Anderson and Gerbing’s (1988).FindingsStudy results from structural equation modeling (SEM) revealed that the new model has a better predictive ability. Additionally, study results from SEM demonstrated the causal relationships in the proposed model and identified a mediating role of attitude. Further, the moderating effects of involvement across the different relationships in ELM were also verified.Originality/valueThis study is the first to explain individuals’ decision-making process by using the TPB framework with the integration of meaningful constructs rooted in ELM. Therefore, the study results help the tourist application developers to use better marketing and service strategies through effective management of tourists’ central routes, peripheral routes, normatives and non-volitional processes of tourism LBS decision-making. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Contemporary Hospitality Management Emerald Publishing

Tourists’ intention to use location-based services (LBS)

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0959-6119
DOI
10.1108/ijchm-09-2018-0734
Publisher site
See Article on Publisher Site

Abstract

This study aims to investigate the tourists’ intentions to use LBS within a tourism sector by integrating the elaboration likelihood model (ELM) into the framework of the theory of planned behavior (TPB).Design/methodology/approachThis study is conducted by an online survey and a snowball sampling method with 353 respondents. The present study used a two-step method suggested by Anderson and Gerbing’s (1988).FindingsStudy results from structural equation modeling (SEM) revealed that the new model has a better predictive ability. Additionally, study results from SEM demonstrated the causal relationships in the proposed model and identified a mediating role of attitude. Further, the moderating effects of involvement across the different relationships in ELM were also verified.Originality/valueThis study is the first to explain individuals’ decision-making process by using the TPB framework with the integration of meaningful constructs rooted in ELM. Therefore, the study results help the tourist application developers to use better marketing and service strategies through effective management of tourists’ central routes, peripheral routes, normatives and non-volitional processes of tourism LBS decision-making.

Journal

International Journal of Contemporary Hospitality ManagementEmerald Publishing

Published: Sep 4, 2019

Keywords: Location-based services; Moderating effect; Behavioural intention; TPB; ELM

References