Using a value-attitude-behaviour model to test residents’ pro-tourism behaviour and involvement in tourism amidst the COVID-19 pandemic
Emrullah Erul,
Abdullah Uslu,
Kevser Cinar and
Kyle Maurice Woosnam
Current Issues in Tourism, 2023, vol. 26, issue 19, 3111-3124
Abstract:
This research tested a value-attitude-behaviour (VAB) derived model considering three forms of residents’ support (i.e. attitudinal, intentional, and behavioural) for tourism amidst the COVID-19 pandemic. The VAB model was formulated based on a merger of emotional solidarity and theory of reasoned action constructs. Data were collected from 545 Manavgat residents between June-October of 2021. The SEM revealed that each of the eight proposed hypotheses was significant; 67% of variance in attitudes towards tourism (AT) was accounted for by welcoming nature (WN); 56% of variance in intention to support tourism (IST) was explained by WN, AT, and subjective norms; 53% of variance in pro-tourism behaviour (PTB) was accounted for by WN and IST; and 54% of variance in involvement in tourism was explained by PTB and IST. Results indicated that residents’ value of tourists (i.e. WN) plays a vital role in support for tourism, and ultimately explains their involvement in tourism.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13683500.2022.2153013 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rcitxx:v:26:y:2023:i:19:p:3111-3124
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rcit20
DOI: 10.1080/13683500.2022.2153013
Access Statistics for this article
Current Issues in Tourism is currently edited by Jennifer Tunstall
More articles in Current Issues in Tourism from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().