Big Data and Innovation in Tourism, Travel, and Hospitality : Managerial Approaches, Techniques, and Applications /: Managerial Approaches, Techniques, and Applications. ([2019])
- Record Type:
- Book
- Title:
- Big Data and Innovation in Tourism, Travel, and Hospitality : Managerial Approaches, Techniques, and Applications /: Managerial Approaches, Techniques, and Applications. ([2019])
- Main Title:
- Big Data and Innovation in Tourism, Travel, and Hospitality : Managerial Approaches, Techniques, and Applications
- Further Information:
- Note: Editors, Marianna Sigala, Roya Rahimi and Mike Thelwall.
- Editors:
- Sigala, Marianna
Rahimi, Roya, 1982-
Thelwall, Mike - Contents:
- 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 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 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 theIntro; 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 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 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 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 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 … (more)
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2019
- Copyright Date:
- 2019
- Extent:
- 1 online resource
- Subjects:
- 338.4/791
Tourism -- Technological innovations
Hospitality industry -- Technological innovations
Big data
BUSINESS & ECONOMICS / Industries / General
Big Data/Analytics
Tourism Management
Big Data
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9789811363399
9811363390 - Related ISBNs:
- 9789811363382
- Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (EBSCO, viewed March 5, 2019). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.411306
- Ingest File:
- 02_510.xml