Big data and innovation in tourism, travel, and hospitality : managerial approaches, techniques, and applications

This 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...

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Bibliographic Details
Other Authors: Sigala, Marianna, (Editor), Rahimi, Roya, 1982- (Editor), Thelwall, Mike, (Editor)
Format: eBook
Language: English
Published: Singapore : Springer, [2019]
Subjects:
Tourism > Technological innovations.
Hospitality industry > Technological innovations.
Big data.
elektronické knihy
electronic books
ISBN: 9789811363399
9789811363405
9789811363412
9789811363382
Physical Description: 1 online zdroj

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Table of contents

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245 0 0 |a Big data and innovation in tourism, travel, and hospitality :  |b managerial approaches, techniques, and applications /  |c editors, Marianna Sigala, Roya Rahimi and Mike Thelwall. 
264 1 |a Singapore :  |b Springer,  |c [2019] 
264 4 |c ©2019 
300 |a 1 online zdroj 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
588 |a Online resource; title from PDF title page (EBSCO, viewed March 5, 2019). 
504 |a Obsahuje bibliografické odkazy. 
505 0 |a Intro; Contents; Introduction; Big Data: The Oil of the New Tourism Economy; Scope and Structure of the Book; Content of the Book; 1 Composite Indicators for Measuring the Online Search Interest by a Tourist Destination; 1.1 Introduction; 1.2 Literature Review; 1.2.1 Tourism and Statistical Information; 1.2.2 Consumer Behaviour in Tourism, the Internet and Google Trends; 1.2.3 Indicators and Web Analytics Strategy; 1.3 Methodology; 1.3.1 Theoretical Framework; 1.3.2 Selection of Primary Indicators; 1.3.3 Selection of Search Terms and Geographical Locations in GT 
505 8 |a 1.3.4 Transformation, Weighting and Aggregation of Primary Indicators1.3.5 Data Collection from GT; 1.3.6 Validation and Reliability of Indicators; 1.4 Results; 1.4.1 Search Interest of Foreign Markets for Tourism in Portugal; 1.4.2 Validation and Reliability of Composite Indicators; 1.5 Discussion; 1.6 Conclusion; References; 2 Developing Smart Tourism Destinations with the Internet of Things; 2.1 Introduction; 2.2 Big Data and Smart Connectivity; 2.3 The Internet of Things for Tourism; 2.4 Summary; References 
505 8 |a 3 Big Data in Online Travel Agencies and Its Application Through Electronic Devices3.1 Introduction; 3.2 Theoretical Framework; 3.3 Methodology; 3.4 Results; 3.4.1 OTA Webpage; 3.4.2 Registration; 3.4.3 Filters; 3.4.4 Hotels Offered in the Search Results; 3.4.5 Booking Process; 3.4.6 Customer Experience; 3.5 Big Data Challenges in OTAs; 3.6 Discussion; 3.7 Conclusions; References; 4 Big Data for Measuring the Impact of Tourism Economic Development Programmes: A Process and Quality Criteria Framework for Using Big Data; 4.1 Introduction 
505 8 |a 4.2 Economic Development Agencies: Functions, Information Needs and Measurement Trends4.2.1 Functions; 4.2.2 Information Needs: Why to Measure and Why It Is not Measured; 4.2.3 Information Needs and Measurement Trends: What and How to Measure; 4.3 Traditional Versus Big Data in Measuring Economic Developmental Programmes; 4.3.1 Traditional Data; 4.3.2 Big Data: Benefits, Risks/Limitations and Requirements; 4.4 Transforming Big Data into Socio-economic Value: Processes and Criteria for Selecting Big Data; 4.4.1 Big Data Process Supporting Decision Making 
505 8 |a 4.4.2 Criteria for Selecting and Evaluating Big Data4.4.3 Proposed Framework for Selecting and Using Big Data Sources for Measuring Tourism Economic Development Programs; 4.5 Conclusions and Implications for Future Research; References; 5 Research on Big Data, VGI, and the Tourism and Hospitality Sector: Concepts, Methods, and Geographies; 5.1 Introduction; 5.2 Digital Economy, Big Data and New Challenges; 5.3 Methods; 5.4 An Overview of the Publications; 5.4.1 Type of Articles, Time-Series of Publications, Journals, and Affiliations; 5.4.2 Geographies of Scientific Production 
520 |a This 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. 
590 |a eBooks on EBSCOhost  |b All EBSCO eBooks 
650 0 |a Tourism  |x Technological innovations. 
650 0 |a Hospitality industry  |x Technological innovations. 
650 0 |a Big data. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Sigala, Marianna,  |e editor. 
700 1 |a Rahimi, Roya,  |d 1982-  |e editor. 
700 1 |a Thelwall, Mike,  |e editor. 
776 0 8 |i Printed edition:  |z 9789811363382  |w (OCoLC)1080548356 
776 0 8 |i Printed edition:  |z 9789811363405 
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992 |c EBOOK-TN  |c EBSCO 
993 |x NEPOSILAT  |y EIZ 
999 |c 112138  |d 112138 

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