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Conference

Information and Communication Technologies in Tourism 

About: Information and Communication Technologies in Tourism is an academic conference. The conference publishes majorly in the area(s): Tourism & The Internet. Over the lifetime, 1234 publications have been published by the conference receiving 21158 citations.


Papers
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Book ChapterDOI
15 Feb 2008
TL;DR: The results show that reviews are used mostly to inform accommodation decisions and are currently not used much for en route travel planning, and implications for travel marketing and travel information systems design are provided.
Abstract: Consumer-generated content (CGC) is growing in importance. Especially online travel reviews written by consumers are ever more available and used to inform travel-related decisions. A Web-based survey of users of the most prominent travel review site, TripAdvisor, was conducted to investigate how other travellers’ reviews inform the trip planning process. Since current CGC statistics show generational and gender differences, the study also aimed at examining whether those carry over into the realm of travel review use. The results show that reviews are used mostly to inform accommodation decisions and are currently not used much for en route travel planning. Gender differences were found for perceived impacts of reviews, with females reaping greater benefits from using reviews, especially in terms of enjoyment and idea generation. Age differences occurred across a variety of perceptions and use behaviours. Implications for travel marketing and travel information systems design are provided.

963 citations

Book ChapterDOI
01 Jan 2013
TL;DR: This paper aims to take advantage from the development of Smart Cities by conceptualising framework for Smart Tourism Destinations through exploring tourism applications in destination and addressing both opportunities and challenges it possessed.
Abstract: The rapid development of technologies introduces smartness to all organisations and communities. The Smart Tourism Destinations (STD) concept emerges from the development of Smart Cities. With technology being embedded on all organisations and entities, destinations will exploit synergies between ubiquitous sensing technology and their social components to support the enrichment of tourist experiences. By applying smartness concept to address travellers’ needs before, during and after their trip, destinations could increase their competitiveness level. This paper aims to take advantage from the development of Smart Cities by conceptualising framework for Smart Tourism Destinations through exploring tourism applications in destination and addressing both opportunities and challenges it possessed.

488 citations

Book ChapterDOI
01 Jan 2015
TL;DR: The research aims at contributing to the understanding on how Smart Tourism Destinations could potentially enhance tourism experience through offering products/services that are more personalised to meet each of visitor’s unique needs and preferences.
Abstract: Bringing smartness into tourism destinations requires dynamically interconnecting stakeholders through a technological platform on which information relating to tourism activities could be exchanged instantly. Instant information exchange has also created extremely large data sets known as Big Data that may be analysed computationally to reveal patterns and trends. Smart Tourism Destinations should make an optimal use of Big Data by offering right services that suit users’ preference at the right time. In relation thereto, this paper aims at contributing to the understanding on how Smart Tourism Destinations could potentially enhance tourism experience through offering products/services that are more personalised to meet each of visitor’s unique needs and preferences. Understanding the needs, wishes and desires of travellers becomes increasingly critical for the competitiveness of destinations. Therefore, the findings in the present research are insightful for number of tourism destinations.

442 citations

Book ChapterDOI
01 Jan 2012
TL;DR: Findings suggest that social media are predominantly used after holidays for experience sharing and there is a strong correlation between perceived level of influence from social media and changes made in holiday plans prior to final decisions.
Abstract: Through an empirical study among holiday travellers, residing in the Former Soviet Union Republics, this paper presents a comprehensive view of role and impact of social media on the whole holiday travel planning process: Before, during and after the trip, providing insights on usage levels, scope of use, level of influence and trust. Findings suggest that social media are predominantly used after holidays for experience sharing. It is also shown that there is a strong correlation between perceived level of influence from social media and changes made in holiday plans prior to final decisions. Moreover, it is revealed that user-generated content is perceived as more trustworthy when compared to official tourism websites, travel agents and mass media advertising.

362 citations

Book ChapterDOI
01 Jan 2008
TL;DR: Using a sample of London hotels, it was shown that the TripAdvisor system displays detailed, rich and relevant data for use by consumers in their travel planning, and analyses suggest that the belief that the system is compromised by false reviews posted to enhance a hotels reputation or tarnish that of competitors is unfounded.
Abstract: Consumer generated content is rapidly gaining traction as part of the purchase decision making process. After examining the implications for travel businesses, this paper focuses on TripAdvisor.com, the largest online network of travel consumers to establish its current practices and challenges. Using a sample of London hotels, it was shown that the system displays detailed, rich and relevant data for use by consumers in their travel planning. Analyses also suggest that the belief that the system is compromised by false reviews posted to enhance a hotels reputation or tarnish that of competitors is unfounded. Little evidence was found of characteristics that typify false reviews.

360 citations

Performance
Metrics
No. of papers from the Conference in previous years
YearPapers
202237
20213
20203
201946
201843
201757