The indicators of intention to adopt mobile electronic tourist guides

Abstract

Purpose -The purpose of this paper is to understand tourists' acceptance of innovative information technologies by examining the factors influencing the intention to use mobile electronic tourist guides (METG). Design/methodology/approach -This paper developed and tested a model for examining tourists' acceptance of METG based upon Davis' technology acceptance model (TAM). The model considered three antecedents of intention: knowledge, usefulness and attitude. The relationships between them and between these and intention were explored using structural equation modeling. Findings -The findings revealed that tourists' behavioural intentions towards using METG could be raised through attitude by ensuring greater levels of perceived usefulness. Usefulness, in turn, is highly influenced by the tourists' level of knowledge regarding METG. In addition, there was also a direct significant path between knowledge and behavioural intention, suggesting that good levels of knowledge of the technology are a pre-condition for greater usage of METG. Research limitations/implications -This paper suggests that the predictive ability of the TAM in the context of innovations at their early stages of diffusion, that is, when potential adopters know little about them, can be enhanced by incorporating knowledge as an explanatory variable. Future studies could use the full version of the TAM by including other measures of knowledge beyond awareness knowledge, such as how-to knowledge, as suggested by Rogers. Originality/value -This paper adapts the TAM to study the acceptance of technology-based information technologies at their early stages of development. The findings of this study contribute to enhancing our understanding of what influences tourists' acceptance of METG. They can be used to inform local and national strategies aimed at developing Portugal's (and other countries') credentials as digital destinations.

Mobile augmented reality for cultural heritage: A technology acceptance study

“…Recent studies have also examined the acceptance of mobile tourist guides [32,37]. There is at least one study that has examined the acceptance of mobile augmented reality applications in general [41].…”

A plenary free individual traveler life cycle for assessment of adoption intelligent travel assistant

“…According to the related literature review of this study, there are previous studies that used TAM as a base model. Hence, they could be divided into two groups, consisted of technology user acceptance, i.e., the intelligent virtual agent ( Serenko, 2005 ; Chao et al., 2016 ), smartwatch ( Kim and Shin, 2015 ), electronic payment ( Dastan and Gürler, 2016 ), and information system in a mobile phone ( Koç et al., 2016 ), and technology user acceptance of travel and tourism, i.e., includes portable electronic navigator technology ( Peres et al., 2011 ), the virtual agent in restaurant website ( Reza, 2014 ), and social media with luxury hotels ( tom Dieck et al., 2017 ). Therefore, the external variables and belief variables are favorably most studied, following as behavioral intention to use (BI), attitude toward using (attitude), and actual system use (AU), respectively.…”

“…(2016) ✓ ✓ - ✓ - Dastan and Gürler (2016) ✓ ✓ ✓ ✓ - Koç et al. (2016) ✓ ✓ - ✓ - Technology User Acceptance of Travel and Tourism Peres et al. (2011) ✓ ✓ ✓ ✓ - Reza (2014) ✓ ✓ - ✓ - tom Dieck et al.…”

“…(2010) ; Meng (2006) ; Niemczyk (2014) ; Personal (2013) ; Staab et al. (2002) ; UNWTO/GTERC, 2017 - ✓ ✓ ✓ Technology User Acceptance of Travel and Tourism No and Kim (2014) ; Peres et al. (2011) ; Reza (2014) ; tom Dieck et al.…”

Acceptance and Adoption of eTourism Technologies

“…Previous research in this field has investigated various domains of technology acceptance including the antecedents of technology adoption (e.g., Peres et al 2011;Bonsón Ponte et al 2015;Wozniak et al 2018), prediction of adoption behavior (e.g., Ayeh et al 2013;Balouchi et al 2017), consequences and outcomes of technology adoption (Zhao et al 2015;Han et al 2016), and the role of specific constructs such as risk and trust (e.g., Amaro and Duarte 2016), sociodemographic factors (e.g., Kim et al 2012a), and technological features (e.g., Wang et al 2015).…”