Impact of sn on tourism kamran presentation

Department of Computer Science

DCSCOMSATS Institute of Information Technology

The effects of online social media on tourism websites

Presented byMuhammad Kamran


Research Author.

Authors: Roberta Milano Rodolfo Baggio Robert Piattellib Published At: University of Genova Italy On 2011

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Department of Computer Science 33

Outline

Abstract Introduction Research and methodology Results Discussion Conclusions


Abstract

This paper aims at verifying the impact that online social networks (OSN) have on the popularity of tourism websites.

Web 2.0 and online social networking websites heavily effect today most of online activities and their effect on tourism is obviously important.

Two OSNs have been considered: Facebook and Twitter. Pattern of visits to a sample tourism websites was analyzed and

relationship between the total visits and Online SN as referral measures. Analysis show a clear correlation and confirm hypothecs.

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Introduction

At the close of the 20th century.....internet had enormous diffusion and radically changed most of our economic and social life.

Revolution has impact the way communicate, work and conduct business.

SN’s change how we can get tourism related information how we plan for and consume travel.

Impact of Web 2.0 and Social Media Websites liker wiki, Flicker, play important role for promote tourism in the world

Travel 2.0 and OSN Increase no of visitors to online tourism websites

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Web 2.0 and Travel 2.0

Web 2.0 A second generation of services available on

the W W W that let people collaborate, and share information online. In contrast to the first generation, Web 2.0 gives users an experience closer to desktop applications than the traditional static Web pages

Travel 2.0 Pre-experience

built on people stories, before travaling Experience during travel sharing thourg cell

phone Post experience blog, comments E.g. Trip Advisor, travel blog, sarahotel

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Tools for Travel 2.0

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Tools for Travel 2.0

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Background

Tourism are important components of online commerce of the world whose impact has profoundly changed the structure of the industry.

SN’ provide informatiom to consumer and industry supplier, hotel , transpotaiton,travel agent.

With the introduction Web 2.0 features and applications, tourism markets have become real conversations on one of the most thrilling subject for a human being.

OSN such as facebook play important role for a growth of tourism industry in the world. which is largest and widespread SN of the world.

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Facebook Most widespread OSN.Collect 67% tourism related info from web.

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Italy being at 1st places in world usage of facebook. 17 million Italian people are facebook user. 56% of population. Sixth place in country ranking

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Research and methodology

More than 275,000 italian websites use for analysis. Cumulative data were collected concerning the visits to 19,902.

from website. The time spanframe spans a two year. The data collected consited of the series of total visits to Italian

website(TOT) and contrubutin to these visits having Facebook(FB) and Twiter as refferals

Each visit uses 30 minutes time window. all connection to a website coming from same ip address.

Gloabal series: a series consisting of linear composition of a number of different contrubutin.in order to assess the significance of these contrubution to gloabal series.

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Research and methodology

Time period is dependable variable and FB and Twiter contributions are predictors.

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Results

The tme series for total visits to Italian tourism websites(TOT) and FB given bellow.

Max value for the contribution of FB and TW Recored in the month of August: FB = 0.329% ; TW = 0.002%

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Total visits to Italian tourism websites (TOT) and contribution to the visitsfrom Facebook (FB). TW contributions are not reported for their very low values


Seasonality indices of the visits to websites fortotal visits (TOT) and Facebook (FB) and Twitter (TW) contributions


regression analysis

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Condition index (last column) when value higher 15 is concern, when higher then 30 is serious problem. The regression analysis shows the positive importance and the

significance of the FB contributions to the total number of visits to a tourism website.


Discussion /Conclusions

The main goal of this work to show the effects of web 2.0 features, specially social network on the popularity of tourism websites.

Contribution of soical media websites examine are of a low level. higher proportion would be expected but show limited usage of web 2.0 functionalities by tourism websites in each country.

Despite that, the growth of the FB and TW components is quite remarkable, mainly if we compare with the limited increase in total visits.

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THANK YOU FOR YOUR ATTENTION!

Impact of sn on tourism kamran presentation

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