1 On measuring tourism: SMART Tourism and the challenges of big data Jason Stienmetz Daniel R. Fesenmaier Professor and Director National Laboratory for Tourism & ecommerce Temple University
2 introductory remarks technology and measuring tourism important areas for measuring tourism challenges to measuring tourism concluding remarks presentation outline
3 Dominance of technology
4 Dominance of technology
5 Measuring technology Emergence of data and tools Blogs, tweets, likes, etc. Networks facebook, 4square Search, logfiles, purchases, surveys Scanner data - RFID tags - QR codes Mobile devices - systems Cameras Internet of things Data mining tools Emerging analytics sentiment analysis
6 Science of Data Age of Big Data It s a revolution, says Gary King, director of Harvard s Institute for Quantitative Social Science. We re really just getting under way. But the march of quantification, made possible by enormous new sources of data, will sweep through academia, business and government. There is no area that is going to be untouched.
7 Building a Smart(er) planet Are you an IBMer?
10 Application in tourism mapping the economy Tracking the flow of economic wealth through the economy
11 Application within tourism organizational innovation Supporting innovation and organizational change
12 Applications with tourism social relations Social communities and Social change
13 Application in tourism connecting travelers Understanding travel behavior and designing recommendation systems to support travel
14 Applications in Tourism - capturing experiences Sara time-interval survey
15 Sara s experience reported hourly 12:00 12:24 13:00 14:00 15:00 16:00 17:00 12:18 12:44 13:05 13:24 14:04 14:34 14:59 15:25 16:32 my initial emotions I saw a guy with a really bad haircut my first report it s hot & sticky my second report really pretty city people on the street seems pretty nice my last report I had a really lovely time with my friends I m about to do some shopping!... we walked upon an Italian wedding my third report I m at Rouge we're having some snacks the street signs have been super - super helpful!
16 Cheerful Relaxed Excited Bored Happy Sad Alert Tired Annoyed Sara s Philadelphia experience The architecture of the buildings so gorgeous. Green! is lush and bountiful out here. Buses, motorcycles, cars traffic sights sounds colors smells a little like exhaust I m in front of a giant statue in front of the rocky steps place people I m still with Becca & Jessica. activity We're taking pictures (of the statue) posing things The map we ve created & printed before we came
17 Applications within tourism experience design Understanding the nature of experience and the role of design
18 Applications within tourism neural marketing The linkages between information, experiences and the biology of human mind
19 Applications within tourism distribution of knowledge Technology, learning and scientific knowledge
20 Applications within tourism education The nature of education and its role within society
21 Challenges with computational social science Measurement Indexes Scales
22 Challenges with computational social science Ecological Fallacy Making conclusions about one level of analysis basis analysis of another
23 Challenges with computational social science Measuring the right thing Understanding the systems that underlie the behaviors that you are measuring what you think you are measuring.
24 Challenges with computational social science Nature of system structure Embedded systems
25 Challenges with computational social science Conclusions regarding causal mechanisms
26 Example Visitor tracking system Integrating multiple systems Matching three levels of data: 1. logfile data 2. web survey data, and 3. visitor behavior data Tell me it isn t so!
27 Example Visitor tracking system Three different systems and the processes that link them? 1. Online search 2. Perceptions and evaluation 3. Actual travel decisions??
28 Example - Destination advertising evaluation model New model of destination advertising response that incorporates: 1. Info. processing 2. Ad response 3. Travel facets 4. Context factors 5. Channels
29 Future of big data and tourism 1) New world and exciting world 2) New tools and unparalleled access to data 3) Huge challenges for theory, measurement, analysis and practice 4) Data is about something it has ethics
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