000			03082nam a2200361Ia 4500
001			3060
008			230305s2019 xx 000 0 und d
020			_a9789811363412
043			_aen_UK
041			_aeng
245		0	_aBig Data and Innovation in Tourism, Travel, and Hospitality
260			_a _bSpringer, _c2019
300			_axii, 223 p. _bil. col. _c24 cm.
500			_aManagerial Approaches, Techniques, and Applications
505			_aIncludes bibliographical references. _rTOC:-- _rComposite Indicators for Measuring the Online Search Interest by a Tourist Destination-- _rDeveloping Smart Tourism Destinations with the Internet of Things-- _rBig Data in Online Travel Agencies and Its Application Through Electronic Devices-- _rBig Data for Measuring the Impact of Tourism Economic Development Programmes: A Process and Quality Criteria Framework for Using Big Data-- _rResearch on Big Data, VGI, and the Tourism and Hospitality Sector: Concepts, Methods, and Geographies-- _rSentiment Analysis for Tourism-- _rLocation-Based Social Network Data for Tourism Destinations-- _rIdentifying Innovative Idea Proposals with Topic Models-A Case Study from SPA Tourism-- _rCustomer Data and Crisis Monitoring in Flanders and Brussels-- _rAnalyzing Airbnb Customer Experience Feedback Using Text Mining-- _rBig Data as a Game Changer: How Does It Shape Business Intelligence Within a Tourism and Hospitality Industry Context?-- _rStrengthening Relational Ties and Building Loyalty Through Relational Innovation and Technology: Evidence from Spanish Hotel Guests-- _rBig Data and Its Supporting Elements: Implications for Tourism and Hospitality Marketing--
520			_aThis book brings together multi-disciplinary research and practical evidence about the role and exploitation of big data in driving and supporting innovation in tourism. It also provides a consolidated framework and roadmap summarising the major issues that both researchers and practitioners have to address for effective big data innovation. ; The book proposes a process-based model to identify and implement big data innovation strategies in tourism. This process framework consists of four major parts: 1) inputs required for big data innovation; 2) processes required to implement big data innovation; 3) outcomes of big data innovation; and 4) contextual factors influencing big data exploitation and advances in big data exploitation for business innovation.
630			_aCLASS G - GEOGRAPHY, ANTHROPOLOGY, RECREATION _91117
650			_aBig data _95432
650		0	_aManagement _9319
650		0	_aTourism _91154
650		0	_a Hospitality _95148
700			_aThelwall, Mike _eDirector Científic _912891
700			_aSigala, Marianna _eDirector Científic _912892
700			_aRahimi, Roya _eDirector Científic _912893
856			_uhttps://link.springer.com/book/10.1007/978-981-13-6339-9
902			_a1555
905			_am
911			_ahttps://biblioteca.tbs-education.es/portadas/9789811363412.jpg
912			_a2019-01-01
942			_a1
953			_d2021-09-07 10:11:31
999			_c2917 _d2917