Author:
Atwood Morgan,Morosan Cristian
Abstract
Purpose
– This paper aims to provide a deeper understanding of the effective use of Facebook within the hotel industry. It explored which current Facebook practices are effective/persuasive using the elaboration likelihood model (ELM) as the main theoretical foundation.
Design/methodology/approach
– Using an experimental design, the effects of consumers’ exposure to treatments, involving different levels of elaboration and source credibility, were examined to determine whether consumer’s process information from Facebook communication through a central or peripheral route.
Findings
– The results of this research showed that consumer attitudes are affected by the source credibility, but not by the level of elaboration. Also, intentions to stay at the hotel and intentions to engage with the hotel brand via social media were not affected by the level of elaboration or source credibility.
Research limitations/implications
– This study presents an important step forward in understanding how consumer persuasion takes place in an online environment. Also, this paper provides a first-hand account of the manner in which social media adds value to a business organization. In addition, this paper provides insight on how consumers process online information.
Originality/value
– As this is the first conceptualization of the ELM in a social media context, this study is uniquely able to explain the concept of persuasion in the hotel industry. Such knowledge is invaluable to academics and hotel decision makers, especially because the research provides specific insights on the manner in which attitudes change in consumers.
Subject
Management, Monitoring, Policy and Law,Tourism, Leisure and Hospitality Management,Development
Reference38 articles.
1. Angst, C.
and
Agarwal, R.
(2009), “Adoption of electronic health records in the presence of privacy concerns: the elaboration likelihood model and individual persuasion”,
MIS Quarterly
, Vol. 33 No. 2, pp. 339-370.
2. Armstrong, M.
(2013), “Nine of the most interesting social media stats for 2013”, available at: http://strongblogs.com/nine-of-the-most-interesting-social-media-stats-for-2013/ (accessed 19 July 2013).
3. Ayeh, J.
,
Au, N.
and
Law, R.
(2013), “Predicting the intention to use consumer-generated media for travel planning”,
Tourism Management
, Vol. 35 No. 2, pp. 132-143.
4. Bhattacherjee, A.
and
Sanford, C.
(2006), “Influence processes for information technology acceptance: an elaboration likelihood model”,
MIS Quarterly
, Vol. 30 No. 4, pp. 805-825.
5. Calder, B.J.
,
Phillips, L.W.
and
Tybout, A.M.
(1981), “Designing research for application”,
Journal of Consumer Research
, Vol. 8 No. 2, pp. 197-207.
Cited by
25 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献