Researcher Profile > College of International Management> CLASTER William B.
College of International Management

Professor

CLASTER William B.
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Research presentations Number of the published data : 5
No. Type of announcement Presentation theme Conference name Announcement date
1 Verbal Presentation "LESSONS LEARNED IN LAUNCHING A PILOT BUSINESS ANALYTICS UNDERGRADUATE PROGRAM" 11th Annual Conference of the EuroMed Academy of Business (EMAB) 2018/09/12
Presentation theme "LESSONS LEARNED IN LAUNCHING A PILOT BUSINESS ANALYTICS UNDERGRADUATE PROGRAM"
Conference name 11th Annual Conference of the EuroMed Academy of Business (EMAB)
Summary
 
2 Verbal Presentation THE LINK BETWEEN SOCIAL SENTIMENT OF CURRENCY VALUE AND TOURISM BEHAVIOR: A CASE OF THE RUBBLE CRISIS EUROMED 2015 2015/09/25
Presentation theme THE LINK BETWEEN SOCIAL SENTIMENT OF CURRENCY VALUE AND TOURISM BEHAVIOR: A CASE OF THE RUBBLE CRISIS
Conference name EUROMED 2015
Summary
One of the obstacles that decision makers are facing is the ambiguity and timeliness of input information source. This paper presents some of our on-going work to tackle the problem by using newly emerging fields of data mining in providing policy makers, especially tourism owners, with reliable and scientific metrics reflecting intuitive observation from social media networks. A case using the recent rubble crisis as a backdrop is investigated to further demonstrate the research methodology and practical values.
 
3 Verbal Presentation “Social Media, Predictive Analytics and Tourism” The EuroMed Academy of Business, 6th Annual EuroMed Conference - Confronting Contemporary Business Challenges through Management Innovation 2013/09/23
Presentation theme “Social Media, Predictive Analytics and Tourism”
Conference name The EuroMed Academy of Business, 6th Annual EuroMed Conference - Confronting Contemporary Business Challenges through Management Innovation
Summary
Recently social media has been shown to provide information on tourism and

politics. In recent studies that we have conducted, wine sales and tourism trends have been

forecast using machine learning algorithms and hundreds of thousands of blogs, online

news articles and Twitter tweets. Our previous research has shown that mining of social

media can predict in real-time market penetration figures and can also forecast social and

business trends in tourism. We extend the research further to evaluate the predictive value of

Social Media in forecasting trends for the value of publicly traded Hospitality and Tourism

companies.
 
4 Verbal Presentation The Canary in The Room: The Predictive Value Of Social Media For Hospitality And Tourism Stocks International Colloquium on Tourism & Leisure 2013/08/22
Presentation theme The Canary in The Room: The Predictive Value Of Social Media For Hospitality And Tourism Stocks
Conference name International Colloquium on Tourism & Leisure
Summary
Recently social media has been shown to provide information on tourism and politics. In recent studies that we have conducted, wine sales and tourism trends have been forecast using machine learning algorithms and hundreds of thousands of blogs, online news

articles and Twitter tweets. The results indicate that significant correlations exist between sentiment and various business measures. The most significant of these has been between sentiment and share price. Given these correlations our next steps will involve constructing forecasting models.
 
5 Poster Presentation Ascertaining tourism in Sri Lanka through the social media lens. Presentation to the Ministry of Tourism 2011/07/01
Presentation theme Ascertaining tourism in Sri Lanka through the social media lens.
Conference name Presentation to the Ministry of Tourism
Summary
Using social media to understand how Sri Lanka is faring in the tourism community.