Download presentation
Presentation is loading. Please wait.
Published byBlake Foster Modified over 8 years ago
2
© copyright IFITT ICT in Tourism 2 Introduction Goal Generation and dissemination of knowledge on Tourism and Technology Insights into tourism domain as important application field of ICTS Overview of ICT applications along tourism value chain Knowledge on usage scenarios of modern ICTS in tourism domain The IFITT Digital Knowledge Bank supports this challenge around life-long learning by IFITT e-Tourism Curriculum IFITT e-Tourism Wikipedia IFITT e-Tourism Digital Library
3
© copyright IFITT ICT in Tourism 3 IFITT e-Tourism Curriculum Comprehensive base of unique lecturing material > 800 Power Point slides (reference-based) Scripts and reference lists for further readings Up-to date case studies Open Resource www.ifitt.org/home/view/the_ifitt_eTourism_curriculumwww.ifitt.org/home/view/the_ifitt_eTourism_curriculum Up-dated and extended according to technological developments Major content areas ICT and Tourism - Introduction Basic ICT usage scenarios and technologies in the tourism domain ICT Usage in Tourism – Overview and Case Studies Interfaces, suppliers, intermediaries, destination management organisations Trends and Technical Applications Social media, Semantic web, Software Agents, Recommender Systems, Dynamic Packaging, Mobile, Online auctions, BI
4
© copyright IFITT ICT in Tourism 4 IFITT e-Tourism Curriculum 1. ICT and Tourism – Introduction Types of tourism/tourism markets Information flows in tourism systems Definition and history of e-Tourism, facts & trends Reasons, advantages and implications of ICT use in tourism 2. ICT Usage in Tourism – Overview and Case Studies 2.1 Tourism stakeholders & interfaces Electronic tourism Market Use of hard-/soft- & net-ware in tourism Tourism specific technologies (e.g. CRS, GDS, Switches, mobile technologies
5
© copyright IFITT ICT in Tourism 5 IFITT e-Tourism Curriculum 2.2. Tourism Suppliers and e-Tourism Applications 2.2.1 Airline industry Yield Management CRS/GDS Case studies: Lufthansa, Opodo.com 2.2.2 Hospitality CRS, PMS, GDS-Switches (THISCO) MS and distribution channels Proprietary operated (GastroDat, Micros Fidelio) DMS (feratel.com) Platforms (nethotel.com, hrs.com) Online travel agencies (Travelocity.com) Switch companies (WizCom Switch) 2.2.3 Intermediaries CRS/GDS (Amadeus & Start) Tour Operators (TUI.com, Thomascook.com, kuoni.com) Travel Agencies (eBookers.com, TravelTainment)
6
© copyright IFITT ICT in Tourism 6 IFITT e-Tourism Curriculum 2.2. Tourism Suppliers and e-Tourism Applications (cont.) 2.2.4 Destination Organisations Destination Management Systems Case studies: ETS portal, Tiscover.com… 2.2.5 Tourism Management Management Information Systems (MIS) and Decision Support Systems (DSS), e- CRM Case Studies: T-Mona/Manova, X- Queue… 3. E-tourism Trends & Technical Applications 3.0 Social Media & Web 2.0 in Tourism Travel Blog Cycle Web 2.0 Revolution in tourism/trends & facts Web 2.0 induced challenges for DMOS Case studies: Trip Advisor.com…
7
© copyright IFITT ICT in Tourism 7 IFITT e-Tourism Curriculum 3.1. Interoperability and Semantic Web Heterogeneous info presentation in tourism Standardisation initiatives Ontology & semantic web Case studies: IFITT RMSIG (Reference Model Special Interest Group), Harmonise, Harmo-Net 3.2. Website Optimisation Web-site evaluation customer-based expert-based supplier-based performance-based Application tracking & search engine analysis/optimization Case studies: Swarovsky Cristal WebAward, Check Effect for search term efficiency 3.3. Intelligent software agents in tourism Intelligent systems in tourism Smart Business networks Case studies: Heracles, agents for mining online sources
8
© copyright IFITT ICT in Tourism 8 IFITT e-Tourism Curriculum 3. E-tourism Trends & Technical Applications (cont.) 3.4 Mobile services in tourism M-tourism: m-pull/push technologies Context-based adaptation Usage rates & acceptance Building and instantiating mobile guides Case studies: www.innsbruck-mobile.at, www.dolomitiSuperski.mobi... 3.5 Recommender systems Definition & classification Examples: Amazon.com, Trip Advisor.com, ActiveBuyersGuide.com Techniques Collaborative filtering Content-based filtering Case-based reasoning Search interfaces & collaborative browsing Case studies: Trip@Advice, Virtual Adviser, NutKing.com…
9
© copyright IFITT ICT in Tourism 9 IFITT e-Tourism Curriculum 3.6 Dynamic packaging in tourism Components, requirements & mechanisms Architectures: agent-based network, multiple bundling strategies Case study: Flex package.com 3.7 Online auctions in tourism Opportunities of online auctions Price determinants A software agent by Tiscover for selling accommodation packages at eBay Case study: e-Bay (market size & structure, success rate, revenue forecast) 3.8 Complexity & network science in tourism Tourism as a complex adaptive system Methods for CAS analysis Basics of network science Applications in tourism 3.9 Business Intelligence in tourism Knowledge destination framework architecture Data Mining, OLAP & Data Warehousing BI-based Destination Management Information System (DMIS)
10
© copyright IFITT ICT in Tourism 10 IFITT e-Tourism Curriculum
11
© copyright IFITT ICT in Tourism 11 IFITT e-Tourism Wiki Wikis available
12
© copyright IFITT ICT in Tourism 12 …we hope that these improvements along with free IFITT services will be of great help to global e-Tourism community… Thank you!
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.