
This paper highlights the role of social media in the tourism industry. The conventional models used to reach potential tourists are having geographical and content related constraints. Social media provides various platforms to different stakeholders to communicate and exchange information among them. Due to its dynamics and viral capability, tourism businesses need to formulate some guideline or framework before start using Social Media. This study includes two-way methodological approach; primary and secondary as well. The primary study involves the in-depth interviews with the key stakeholders, and secondary part is based on the existing literature and portal of Department of Tourism (DoT), Rajasthan. Findings facilitate various challenges of social media use such as legal and administrative compliance faced by usual providers of tourist-related information. It further provides a better overview of tourist's use of social media and their characteristics, in order to acclimatize online marketing strategies by Rajasthan tourism.
Travel information search, Online tourism, 1700 Computer Science, Rajasthan, Search engine, Social Media, Tourism
Travel information search, Online tourism, 1700 Computer Science, Rajasthan, Search engine, Social Media, Tourism
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
