Purpose – The purpose of this paper is to expand and empirically test a model of tourist external information search behaviour. Design/methodology/approach – A conceptual model was developed based on the “three‐pronged approach,” an approach that is used to cross validate among the results from literature review, expert interviews, and an exploratory field study in order to confirm and propose a reliable conceptual model. A confirmatory factor analysis was then performed to ensure that the constructs were valid and reliable. Structural equation modeling was used to test the conceptual model and its hypotheses. Findings – The results revealed six variables that are significantly related to tourists' external information search behavior. Four of these variables had not been identified previously. These are as follows: information sources usefulness and accessibility, subjective norms, perceived personal risk, and ability to search. Research limitations/implications – The issue of model generalization should be taken into account because the samples were limited to non‐group tour and first time visited tourists. Further research should consider other tourist groups. Practical implications – The results from this study provide useful information for both government and tourism‐related businesses in planning marketing communication strategies to help promote Thailand as a travel destination. Originality/value – By proposing a managerial modeling based on theoretical foundations and methodologies, both quantitative and qualitative approaches, this study is among the first that expands the model of tourist external information search behavior by fully exploring the determinants of external information search behavior and integrates the theory of planned behavior into the model.
Journal of Modelling in Management – Emerald Publishing
Published: Nov 1, 2011
Keywords: Information searches; Theory of planned behaviour; Tourism; Structural equation modelling; Thailand
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera