Background: Twitter is the most popular microblog platform. Individuals, companies, organizations, and even governments use Twitter on a daily bases and get vast benefits from it. Twitter also has been valuable for the tourism sector, especially in developing business strategies, planning and studying tourist decision-making processes. Objectives: Goal of the paper is to identify the trends, patterns and the research gaps of the research focusing on the Twitter usage in tourism. Methods/Approach: A bibliometric analysis was conducted in order to identify significant authors, journals, and institutions who engaged in the research-oriented towards Twitter utilization in tourism. In addition, text-mining analysis has been conducted in order to extract and identify the topics of the papers investigating the utilization of Twitter for tourism research. Results: Research of Twitter utilization in tourism has increased substantially in the last decade, with most of the research conducted in the United States and Japan. Extracted topics are focused on distinctive themes, such as network analysis, word of mouth, and destination management. Conclusions: New topics have emerged, such as the utilization of Twitter in crisis communication and terrorist attacks, as well as the integration of Twitter and other social media such as Flickr.

No abstract

No abstract

Gathering information online prior to offline purchase became the common way of using Internet within student population. On the other hand, there are more and more Internet users and online shoppers at all Central European Countries. In the CEE region companies are searching the way how to approach students as a target group via their web sites. The purpose of this research was to explain (1) how student population in Croatia use Internet as a tool for gathering information on products and services and (2) to assess perceived problems and potential of Internet as a retail information source. The paper is based on a primary research – a survey on attitudes of Croatian students towards Internet and online shopping. Results are analyzed by using descriptive and inferential statistical method. Discussion of the results brings us to conclusions that there are statistically different attitudes among groups according to gender and according previous experience with the on-line shopping. For illustration: (a) males and females differ in assortment that they are choosing and buying online, (b) male students have a more positive attitude towards online shopping benefits than female students, and (c) online shoppers have more positive attitudes towards security issues than non-online shoppers.

No abstract